8 Top AI Service Providers in Canada

Artificial intelligence is an umbrella term for various advanced technologies. It can streamline business operations, automate processes, and increase ROI. Here, we’ll discuss the top AI service providers in Canada and their role in promoting artificial intelligence adoption.  Artificial intelligence is a part of today’s world. It is integral in our personal and professional lives. Even those who aren’t aware of what AI is or how it works use smartphones with artificial intelligence. Canadians are no exception to this. In fact, Canada is among the leading G7 nations investing heavily in AI. Canada became the first country to launch the Pan-Canadian AI Strategy in 2017. The country’s government has been actively promoting the research, development, and adoption of artificial intelligence across all industries. Currently, there are over 1500 AI companies in Canada, with many more offering offshore services to Canadian businesses.  But who are the best AI companies in Canada? Which company should you partner with to adopt artificial intelligence in your establishment? Let’s find out in this blog.  How can AI Consultants Help Your Business Grow? According to Grand View Research, the global AI market is expected to touch $1811.8 billion by 2030 with a CAGR (compound annual growth rate) of 37.3%. With an increase in artificial intelligence adoption, businesses are relying on AI consultants and service providers to streamline their internal processes and gain a competitive edge in the markets.  Consultants from the most innovative AI companies have knowledge in artificial intelligence, machine learning, statistics, mathematics, computer science, and data science. The AI consultant will understand your business vision, assess the current situation, and provide a comprehensive plan to adopt AI in your enterprise. AI consultants can help grow your business in many ways. For example, artificial intelligence can be used for the following:  From upgrading legacy systems to customizing AI tools based on your requirements, the consultant will perform a range of tasks. Top AI Service Providers in Canada 1. DataToBiz DataToBiz is among the fastest-growing AI companies providing end-to-end services and customized solutions for complete digital transformation and AI adoption. It specializes in industries, such as IT, healthcare, finance, manufacturing, natural resources, retail, and telecommunications. The company has an expert team of AI and ML engineers, data scientists, analysts, and developers who work together to build tailor-made models based on clients’ requirements.  DataToBiz offers the following services in Canada:  The company has its headquarters in India with regional offices in the USA, Bostwana, and Saudi Arabia. It has clients from the US, UK, Canada, Europe, Australia, Africa, South America, and the Middle East. DataToBiz is a certified partner of Microsoft Azure, Google, and AWS. It has won various awards and worked with 300+ firms. It has developed various AI tools like PrepAI, HirelakeAI, SensiblyAI, Virtual Try-On platform, etc.  2. Integrate.ai Integrate.ai offers artificial intelligence services with a focus on data security. The company believes the only way to maintain data security is to move models and not data. It promotes safe data collaborations to activate data silos and simplify complex systems. The platform helps unlock quality data at scale and promotes data protection. The Toronto-based company delivers cutting-edge solutions to businesses from different industries.  Integrate.ai offers the following services: The company has developed two AI products – Federated Learning Platform and Security, Privacy, & Trust to offer personalized solutions to enterprises in effectively managing the data. Integrate.ai has enabled 100+ research studies and works with over 20 network partners. The company has analyzed 4000 TB of genomic data to help businesses make faster and better decisions. It is also a part of the healthcare and pharma industry and helps in drug discovery.  3. Scale AI Scale AI is one of the leading AI companies in Canada, helping businesses speed up the adoption of artificial intelligence in various sectors. It works with small and large enterprises in reshaping business models, enhancing decision-making, and elevating the workforce. The company is building a true AI ecosystem with researchers, private entities, academia, and high-potential start-ups. Technological excellence is the ultimate aim of the company, as it wants businesses to use advanced technology to achieve results.  Scale AI offers a plethora of services categorized into three major sections: The company aims to make AI a real-world application rather than limit its role to research and lab experiments. It has worked to develop AI models that promote supply chain effectiveness. Scale AI also funds projects by engineers and developers looking to bring mode advancements in the industry. The company, in collaboration with the Canadian and Quebec governments, has announced to finance 15 AI projects by investing $117 million.  4. ServiceNow – Element AI Element AI was acquired by ServiceNow in 2020. With headquarters in Montreal, the AI company aims to deliver smarter and more efficient artificial intelligence applications in the country. It drives AI adoption across industries and boosts the overall performance of businesses. The company accelerates the process to enhance customer experience and minimize disruptions. It uses proven strategies to help enterprises become successful.  ServiceNow delivers the following solutions using AI: The company streamlines IT workflows, employee workflows, customer workflows, and creator workflows. From legal to human resources to manufacturing and supply chain, ServiceNow has innovative solutions to tackle the challenges in each sector and use AI technology to get effective results. Now Platform® is the latest product developed by the company to promote future-proof technologies and make socially responsible contributions to society.  5. Coveo Coveo is an enterprise SaaS company and one of the leading AI service providers in Canada. The company helps organizations and large enterprises personalize technology and derive results at scale to generate higher revenue. It has developed the Coveo Relevance Cloud™, an AI platform to enhance digital experiences for end users by streamlining commerce, website, searches, services, and workplace applications. It has 17+ years in the industry and works with global businesses like Salesforce, Dell, etc.  A few services offered by Coveo are listed below:  The company helps organizations personalize everything to convert every digital interaction into a profit. It promises up to a 15% increase in revenue per visit by using sophisticated ML algorithms

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Business Intelligence Reporting: A Comprehensive Guide

Business intelligence reporting provides the enterprise with the latest information about the overall performance of the business. We’ll discuss the need for BI in today’s scenario and the types of reports an organization can generate using BI tools.  In today’s digital world, technology is a must-use in every business, big or small. Companies should sustain market competition using advanced technologies like business intelligence, artificial intelligence, data science, etc.  It’s no surprise that business intelligence is being widely adopted across all industries. Statistics show that using analytics can increase the decision-making speed by 5x times. 67% of businesses already have access to BI tools. According to the reports, cloud BI is the fastest growing market around the world. Among the regions with the highest adoption rates is Asia Pacific. Countries like India, China, and Japan use BI, AI, IoT, etc., to streamline business operations.   Many enterprises hire business intelligence consultants to integrate BI into their existing systems and processes. This ensures they have access to expertise and minimize the risk of failure. Setting up BI tools requires an in-depth understanding of the business and the necessary technologies to achieve the goals.  In this post, we’ll discuss business intelligence reporting in detail and look at the types of BI reports to use in an establishment. We’ll also get a brief glimpse into the leading BI tools used in the global market.  Why is Business Intelligence Important? Business intelligence is a collection of tools, technologies, strategies, applications, and practices that collect, format, store, process, and analyze data from internal and external sources. BI gives intelligence reports (data analytics) that help establishments make better decisions.  BI provides a business with actionable insights using historical and real-time data. These insights give a micro and macro view of the business performance, thus helping employees and the top management with decision-making. BI can be used in any department, such as HR, finance, sales and marketing, production, quality control, inventory management, customer service, etc.  Business intelligence is important as it provides the following to an organization:  Actionable Insights It’s vital to make business decisions based on solid insights. BI provides these insights by processing vast amounts of information in a quick time. A business doesn’t have to rely on guesswork or past trends to make present and future-related decisions.  Gain More Customers The ultimate success of a business lies in how many customers it can attract and retain. BI reports provide details on where and how the enterprise can improve to gain more customers. From analyzing the target market to audience segmentation and understanding customer feedback, BI helps streamline the process.  Better Transparency Maintaining transparency in the internal systems and processes gives the top management and employees more control. It helps standardize the procedures and reduces the time taken to read through pages of complex data. BI reports make it easy to identify areas for improvement. Business intelligence empowers the enterprise to become proactive instead of reactive.  Streamline Business Processes Are there business procedures that aren’t delivering the expected results? Does the enterprise use legacy systems and spend more money/ resources on running the business? BI reports will provide answers to these questions and more. The top management can streamline the internal processes to optimize the use of resources.  Sales and CRM Optimization Sales, marketing, and customer relationship management continue to be primary areas where business intelligence reports are used. Track customers (their purchases, likes, preferences, etc.), market trends (to manage demand and supply), and effectively predict/ forecast sales using BI tools.  Competitive Advantage The top management of a business should always be aware of the competitors and the changing market conditions. It is vital to stand out from the rest and increase business credibility and awareness to attract more customers. BI gives the organization a competitive edge against businesses with no BI. The accuracy of the insights will further strengthen the market position of the enterprise.  Higher Productivity and Revenue Business intelligence reports give a clear picture of the strengths and weaknesses of the enterprise. This data is presented in an understandable format and forms the basis for strategic changes to the systems and processes. The management can optimize resources, invest in advanced technologies, train employees, and create a comprehensive plan to improve productivity. This, in turn, increases revenue and brings profits over time.  What are the 5 Stages of Business Intelligence? The core purpose of business intelligence is to transform raw data into analytics and understandable reports. BI can be divided into five stages listed below.  Gather Data from Sources The first step is to gather data from multiple external and internal sources. This is raw data that will be cleaned, structured, formatted, and processed. The data is stored in a centralized database on the premises or cloud.   Data Analysis The second stage is where the collected data is synthesized to gather useful knowledge. The data is then analyzed to derive actionable insights and predict future trends. Various models are used to understand the data and fill the gaps. This stage of data analysis is also termed data mining.  Situational Awareness The next step is where unwanted information is filtered. Only the relevant information is used for analytics. This is also known as situational awareness (where the system knows which data is necessary for decision-making). The algorithms are developed to automatically filter information and derive insights.  Assessing Risk Factors BI is crucial in assessing risk and minimizing losses for the business. It gives the best possible ways to handle a situation and make the most of the market conditions. Furthermore, it gives a clear picture of the advantages/ disadvantages of choosing one action over the other.  Support Decision-Making The biggest role of business intelligence is to help with day-to-day and long-term decision-making. This is the final stage where mid-level and top management uses BI reports to determine when to release a new product, take over other businesses, etc.   Methods to Gather Your Business Intelligence Requirements BI works when there is data to process. But how can an

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Digital Transformation for Businesses: Why is it crucial?

Digital transformation is applicable across all departments, verticals, and industries. It is essential to keep a business competitive, proactive, and efficient. Here, we’ll discuss the digital transformation process and the need to adopt it in enterprises.  Digital transformation has become an essential driver for success in today’s world. It is the process of digitalizing the business systems, data, workflow, and internal operations to make data-driven decisions, increase ROI, and enhance customer experience. According to Statista, global spending on digital transformation will touch $3.4 trillion by 2026.  Another report shows that the digital transformation market will grow at a CAGR (compound annual growth rate) of 23% between 2019 and 2025. Gartner says 91% of businesses are already engaged in some form of digitization or digital initiative. However, digital transformation for businesses is not a short-term project or a one-time implementation process. It is a continuous process where enterprises have to constantly improve and upgrade their technology to stay relevant in the competitive markets.  But why is digital transformation crucial for a business? How can you start digital transformation in your business? Let’s find out in this blog. We’ll also read more about the implementation process, framework, benefits, and examples of digital transformation.  What are the 4 Main Areas of Digital Transformation?   The digital transformation framework consists of four main components or target areas. Digital transformation is not limited to buying new software or technology. It is a comprehensive process of revamping the enterprise across all verticals, departments, and levels. You need to hire experts to make it a success.  Operational Operational transformation deals with optimizing and automating your systems and IT infrastructure to streamline data flow. Cloud migrations, data pipelines, third-party integrations, AI and ML technologies, data science, big data analytics, etc., are used to bring operational transformation and efficiency. There will be better connectivity between various applications to provide real-time data and insights.  Business Model Transforming the business model requires a change of strategy and the adoption of data-driven models to make faster and more effective decisions. It deals with changes in the business ecosystem, digital products, services, and multiple integrations. Your digital transformation strategy will play a vital role in streamlining business model transformation. Aim for the long term to make your organization future-proof.  Domain Transformation Domain transformation deals with core operational areas, such as marketing, sales, manufacturing, product development, diversification, market expansion, etc. It helps combine innovation, agility, scalability, and flexibility using emerging technologies. Digital transformation service providers will build a robust IT infrastructure to promote greater performance and productivity in all domains.  Cultural and Organizational A study report shows that an organization where the Chief Digital Officer is actively involved in the process has six times greater chances of succeeding in digital transformation. Similarly, digital transformation will be stress-free when the changes are implemented at the cultural level. Involve employees in the process and maintain transparent two-way communication. Address their issues, provide training programs, and implement new technologies in stages. Over time, this will bring a change at the organizational level and deliver the results.  How to Use Digital Transformation in Business? A recurring question many businesses ask is – how long does it take to complete a digital transformation? There is no definite answer. Digital transformation is a long-term investment. It cannot be completed in a couple of weeks or even months. On average, the digital transformation of an established enterprise can take about five years. After this, the enterprise will have to keep updating its systems and training programs to continue using the latest technology in the market.  Define Business Role Digital transformation makes fundamental changes to your business operations and processes. It changes how you deliver value to customers and stakeholders. So, firstly, you should define your business role and what it means to digitalize your systems. Understand what digital transformation can do and how it will benefit your establishment.   Hire Experts Digital transformation needs expert support to minimize the risk of mistakes and incorrect decisions. Partner with a digital transformation consulting firm to provide the strategy and implement the changes in your organization. Choose a service provider with a vast portfolio and experience in your industry to get better and more effective results.  Standardize Standardizing operations is an essential part of digital transformation. It brings greater consistency and facilitates collaborations. It also improves the overall quality and aligns different business aspects to work cohesively and achieve the end goals. Another advantage of standardization is continuous growth and faster adaptation in competitive markets.  Identify Elements to Let Go Digital transformation also requires letting go of outdated processes, technologies, and legacy systems. Make a list of things that need to be changed in the organization. Identify the ones that should be eliminated to save cost, time, and resources without compromising quality. Whether it is metric or a system, removing complexities will make change smoother.  Plan the Culture Shift Digital transformation is not possible without a cultural shift in your business. Your work culture needs to change from rigidity to continuous growth and learning. This can be hard on the employees, so it’s important to communicate and implement the changes one step at a time. Over time, your employees will be ready to handle constant changes, which are an inherent part of digital transformation.  Align Goals and Outcomes Aligning the goals with outcomes will provide a clear picture of what you want and how to achieve it. Simultaneously, you should align people with processes to eliminate roadblocks and overcome challenges. So, which item describes a goal of an organization seeking digital? There is no single answer to this. The goal of each business is different, which is why aligning everything is crucial to eliminate risk and increase your chances of success.  Focus on Data Accuracy Data is a vital element of digital transformation and a data-driven model for decision-making. The insights will be relevant and reliable when the data used for analysis is high quality and accurate. Develop data governance strategies to promote data integrity. This will enhance your digital transformation processes.  Performance Improvement Tools and Processes Choose tools, technologies, and processes that promote greater performance and

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Why is Big Data important in the Telecom industry?

Big data in telecom industry enables companies to extract valuable insights, enhance customer experiences, plan investments, and monetize data.  In today’s digital age, the telecom industry has become a crucial pillar for global connectivity and communication. With millions of users and devices generating massive amounts of data every day, the telecom industry has recognized the importance of harnessing this data to drive growth, improve operational efficiency, and enhance customer experiences. This is where big data comes into play. What is Big Data? Big data refers to the large volumes of complex and diverse data sets that cannot be easily managed or analyzed using traditional data processing techniques. Big data in the telecom industry encompasses a wide range of information, including customer profiles, call records, network logs, location data, social media interactions, and more. Analyzing this vast amount of data allows telecom companies to gain valuable insights and make informed decisions. Types of data in telecommunications One crucial aspect to consider before embarking on big data analytics is a comprehensive understanding of the data itself. In the telecom industry, data can be categorized into three main types: network data, call-detail records, and customer data. Each type provides valuable insights and plays a significant role in the data analytics process. Network data This includes data on network performance, traffic volume, bandwidth utilization, latency, and network faults. Analyzing network data helps optimize network infrastructure, plan for capacity upgrades, and improve overall network performance. Call detail records (CDR) CDRs contain information about each call, such as the caller and recipient’s phone numbers, call duration, time of call, and location data. Analyzing CDRs provides insights into call patterns, network usage, and customer behavior. Customer data This includes demographic information, customer profiles, preferences, purchase history, and interactions with customer support. It helps telecom companies understand their customer base and deliver personalized experiences. Benefits of using Big Data in the telecom industry Big Data offers numerous benefits to the telecom industry, enabling companies to derive valuable insights and develop effective solutions. Here are some key benefits: 1. Enhancing Customer Experience Big Data allows telecom companies to gather and categorize vast amounts of user information, enabling them to personalize customer experiences. By analyzing customer data, telecom companies can provide proactive assistance, resolve issues quickly, and offer tailored services.  ● Automated chatbots and self-help options empower customers to find solutions independently. ● Customer interactions can be recorded and used for employee training, leading to better service and profitability. ● Additionally, companies can identify network connectivity or internet speed issues in specific areas and take corrective measures to retain customers. 2. Targeted Marketing By leveraging customer behavior patterns, billing information, and issue resolution data, telecom companies can not only resolve customer problems and improve services but also target customers with relevant offerings. For example, based on previous purchases, companies can offer personalized data packs, additional benefits, or promotional offers. Real-time information on pack expiry and data consumption can help companies provide customers with timely offers. By combining demographics, purchasing behavior, and preferences, telecom companies can send targeted push notifications and marketing campaigns to attract and retain customers. 3. Predicting Churn Churn, the number of customers leaving a service, poses a significant challenge for telecom companies. Big Data analysis allows companies to understand the reasons behind churn, such as service quality, network issues, social media trends, price changes, and unresolved queries. By proactively addressing these issues, telecom companies can reduce churn. They can reach out to dissatisfied customers, offer discounts or service credits, and monitor social media sentiments to prevent customer defection. By employing these analytics techniques, telecom operators have the opportunity to predict and reduce customer churn by an impressive 15%. 4. Investment Planning Big Data assists telecom companies in strategic investment planning for network expansion and modernization. By analyzing network usage, identifying congestion during peak hours, and forecasting traffic, companies can make informed decisions about infrastructure upgrades and investments. Strategic planning helps optimize services, maintain service quality, and compete effectively. Companies can align investments with projected returns on investment (ROI), customer experience goals, and market trends, leading to efficient resource allocation. 5. Data Monetization Telecom companies accumulate vast amounts of valuable customer data, including demographics, location, network usage, device details, and application usage. This data can provide insights that are valuable to other businesses. Telecom companies can offer data analysis services to industries such as retail, financial services, advertising, healthcare, and public services while complying with privacy regulations. Data monetization allows telecom companies to leverage their data assets and generate additional revenue streams. 6. Price Optimization Setting optimal prices for telecom products and services is essential in a competitive market. Data analytics allows telecom operators to analyze customer reactions to different pricing strategies, evaluate purchase history, and monitor competitor pricing. Optimizing pricing based on data insights can maximize ROI, improve sales effectiveness, and retain loyal customers. 7. Product Development and Innovation Integrating data analytics into the product development process allows telecom companies to ensure high-quality performance and meet customer requirements. Real-time data from multiple sources can be used to develop innovative products and services that cater to user needs, such as offering Wi-Fi services across various locations. 8. Performing Preventive Diagnostics Data analytics helps telecom operators identify patterns and behaviors that precede system failures. Operators can perform preventive maintenance, replace and repair equipment, and minimize service disruptions. Predictive analytics based on big data also enables operators to analyze customer intentions and identify influencers among their customer base. 9. Recommendation Engines Utilizing recommendation engines powered by smart algorithms, telecom companies can predict and meet customer needs. By analyzing customer profiles, preferences, and behavior, recommendation engines provide personalized recommendations for products and services, enhancing customer satisfaction and driving engagement. Big Data triumphs in the telecom industry The following are some real-life examples of companies that have successfully applied big data in telecom strategies.  Reliance Jio Reliance Jio, the telecom giant in India, has witnessed incredible success in a short span of time, thanks to its effective utilization of big data. In just 24

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7 Top Power BI Companies in UAE

Microsoft Power BI is a suite of BI apps and services that allow enterprises to convert raw data into meaningful visualizations and reports. Here, we’ll discuss the role of the top Power BI companies in the UAE and the Middle East.  Data analytics and business intelligence are prominent in today’s world. Startups, SMBs, large enterprises, and multinational brands require data-driven insights to make better decisions for their business. Statistics show that the global data analytics market is worth more than $100 billion in 2023.  There is an increasing demand for data visualization tools like Microsoft Power BI to present insights in appealing graphical reports to the end user (employee). The latest news article shows that the Middle East is experiencing a rapid digital transformation. Many companies use data and technology to make effective decisions and overcome challenges. The various analytical and AI-based events happening in Dubai, UAE, and other Middle Eastern countries are examples of this development.  UAE-based businesses are partnering with consulting firms from around the globe to adopt technologies like Power BI for day-to-day decision-making. In this blog, we’ll read about Microsoft Power BI in brief and find out which company is best for Power BI consulting services.  What is Microsoft Power BI? Power BI is a business intelligence package with a collection of software tools, apps, connectors, and services that streamline the data flow and convert raw data into actionable insights, which are presented to the end user in a visual or graphical format. Power BI connects multiple data sources and runs analytical queries to identify patterns, trends, etc., in real-time. It has five major components that work together to deliver the necessary insights and data visualizations to employees.  Microsoft Power BI is a robust business intelligence and data visualization tool with an interactive interface and easy-to-use features. An employee at any vertical can use Power BI to access data and insights and stay up-to-date. Every team and department can customize the dashboard to align the KPIs with business goals and derive real-time analytics.  Power BI Companies are offshore consulting firms that partner with Microsoft and have experts who create and customize data visualization dashboards. A handpicked team from the company will understand your business requirements and create a strategy to build and deploy data pipelines, connect multiple systems and applications, and set up Power BI integrations. The team will also create customized dashboards for each department or vertical as required by the enterprise.  This reduces the time, cost, and resources spent by the brand in building an entire system from scratch and testing it in different environments. Enterprises can start using Power BI in less time, and that too without any disruptions.  What are the Top Power BI Companies in the UAE? 1. DataToBiz DataToBiz is the best Power BI company with years of experience in offering personalized services to businesses from around the world. The company has many clients from the Middle East and has helped brands adopt the data-driven model and unlock the power of data using advanced visualization tools. It is one of the top Power BI companies worldwide, with 71% of clients leveraging the platform for analytics and insights.  The offshore BI solution provider offers comprehensive end-to-end services to digitally transform an enterprise and increase ROI, customer satisfaction, and performance. A few services by the company are as follows:  DataToBiz creates customized Power BI dashboards for businesses from varying industries like manufacturing, healthcare, retail, transportation, supply chain, sales, oil & gas, eCommerce, FinTech, EdTech, entertainment, government, and many more. The company is a certified partner of Microsoft, AWS, and Google and has a 97% project satisfaction rate.  2. Euclidz.ai Euclidz offers state-of-the-art products and services to help businesses adopt the latest technology to transform their processes to achieve their goals. The company combines artificial intelligence and human intelligence to help organizations align their systems with their vision and KPIs. It works with businesses from various industries and helps implement digital transformation in all verticals.  The company has offices in Dubai and India to assist businesses in gaining a competitive edge in the market. It aims to provide brands with the necessary IT infrastructure and support services to leverage different kinds of data and derive insights in a quick time. The following services are offered by the company:  Euclidz delivers self-servicing business intelligence solutions through Power BI implementation. It helps unify the enterprise data scattered across various systems and create secure connections to cloud storage servers. The company builds business dashboards to facilitate access to data and encourage collaborations.  3. TechMantra TechMatra is a strategic IT consulting company that designs and deploys complex IT solutions to help businesses overcome their challenges and achieve the desired results. It provides innovative services to assist enterprises in dealing with the constantly changing market requirements and trends. The company works with clients from UAE, Gulf countries, and India to increase productivity, security, efficiency, and reliability.  The global consulting and outsourcing company aims to make lives simpler and drive success using technology. It provides seamless collaborative services to businesses from many industries and builds client-specific solutions to enhance ROI. The company offers the following services:  TechMantra sets up Power BI for desktop or mobile phones to ensure that employees have access to data at all times. The company works with different third-party platforms to develop custom integrations in an enterprise and provide real-time data visualizations.  4. Business Experts Bemea is a Microsoft Gold Partner that offers comprehensive solutions to help businesses use Microsoft Dynamic tools to streamline finance, operations, and other internal processes. The company provides business cloud solutions for enterprises to revamp their systems and become successful in competitive markets. It has experience in different industries and provides customized solutions, multi-site ERP implementations, vertical add-ons, etc., to boost a business.  The company has a presence in Middle East and South Asian countries and works with many SMBs and enterprises in the UAE. Its services include the following:  Bemea implements Power BI in enterprises to help the management discover the hidden patterns and trends using business intelligence to make

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Step-By-Step Guide to Digital Transformation

Digital transformation has been a part of the global industry for years. However, it was considered a tool to have a competitive advantage in the pre-Covid era. Now the digital transformation is a must for every business, a startup, or an established multinational company.  Statistics show that the global digital transformation market is expected to grow at a CAGR (Compound Annual Growth Rate) of 16.5% from 2020 to 2025 to touch $1009.8 billion. The World Economic Forum said the digital transformation will add $100 trillion to the global economy by 2025, with interactive platforms taking up two-thirds of the total value.  Similarly, data from Statista show that the global investment in digital transformation will grow from $1.8 trillion in 2022 to $2.8 trillion by 2025. With everyone around the world talking about digitally transforming their businesses, it’s vital to understand what it actually means and how to implement the process correctly.  Here’s a step-by-step guide to digital transformation with answers to questions like who should lead digital transformation and what is the fundamental meaning of digital transformation?         What is Digital Transformation? Digital transformation is the process of establishing a digital-first approach in a business to streamline internal processes, revamp business models, enhance customer experience, and increase ROI. Advanced technologies like artificial intelligence, hybrid cloud, automation, machine learning, etc., are used to leverage data, create seamless data flow, and empower smarter decision-making. It offers a real-time solution to market disruptions and creates new business opportunities for growth and success.  Digital transformation is not a one-time fix. It is the continuous adoption of technologies to deal with changing market conditions and customer requirements in the best possible manner.  So do you need a vision for a digital transformation agenda? Absolutely! How you digitally transform your business depends on various factors, such as your organization’s vision, mission, goals, target market, etc. To create a robust and comprehensive digital transformation agenda or strategy for your business, you should first understand what is crucial for the enterprise and how it can be achieved.  Hiring a digital transformation service provider or consulting company is a stress-free method to handle the process effectively.  Digital Transformation Strategy Every enterprise has its own strategy to digitally transform its processes and systems. There is no single methodology that suits all businesses. But how do you determine your optimal digital transformation strategy? It’s done by aligning the digital transformation strategy with the organization’s strategy and following the two most important principles: Defining and detailing the strategy will provide a clear picture and make it easy to implement digital transformation in the business.  Digital Transformation Technologies While any digital technology can be used to transform business processes, some technologies have a central role and are a must for every enterprise. However, digital transformation will be successful when you know which technology is the best for your needs. Consulting companies not only help choose the right tools and technologies but also customize and integrate them with the business systems to increase overall efficiency and performance.  The top digital transformation technologies are: Building Blocks of Digital Transformation The building blocks of digital transformation can be varied and extensive, depending on the enterprise’s requirements. Nevertheless, these are broadly classified into four major categories: Digital transformation in organizations begins with identifying the elements under each building block. Having a detailed, high-level checklist will ensure you don’t miss any crucial factors when adopting the latest technologies and processes in your enterprise.  Digital Strategy You should ask three major questions when setting the strategy-  With ever-changing answers, you should make sure the digital strategy has components that support making proactive business decisions in the present and future. Identifying the stepping stones and challenges helps choose the right areas to implement the changes.  A Gartner report shows that 60% of mainstream enterprises mention that becoming a composable business is their strategic objective to outperform their competitors and implement new developments 80% faster.  Business Model The ultimate goal of business digital transformation is to drive real value for customers through improved business operations. It should bring greater ROI and help enterprises achieve their desired outcomes. Hence, this category contains components like operations, business economic model, products & services, and customer & engagement across the selected channels. The primary intent is to find ways to derive additional value from the improvements without increasing the costs.  Enablers As the term suggests, enablers are the tools, technologies, and methodologies that help achieve the goals and initiate digital transformation in the enterprise. It also includes people (internal and external) who play varied roles in using technology and achieving success. However, the biggest challenge lies in building an in-house team and encouraging existing employees to adopt digital transformation.  The most prominent enablers of digital transformation are: Many organizations partner with offshore service providers to save hiring costs and the time taken to build a team from scratch. Consulting companies also assist and train existing employees to become comfortable with new technology and use it effectively to increase their performance at work.  Orchestration The final and crucial building block of digital transformation is orchestration, or the process of how to get it done. It deals with finding investors, creating a fund, setting governance regulations, scaling the systems, identifying competent leaders, and promoting community engagement to involve everyone in the process.  Many challenges arise in this stage and determine the end results of digital transformation in a business. For example, a wrong leader could put the entire organization at risk. Partnering with digital transformation consulting companies reduces risks and empowers your business at various levels.  Guide to Digital Transformation Your digital transformation approach has to be structured in a systematic process to prevent mistakes and unexpected roadblocks. Be it a small business or a large enterprise, planning and implementing digital transformation is no small feat. The process is extensive and requires time, money, resources, expertise, and dedication.  Here’s a step-by-step guide to implementing digital transformation in your enterprise: 1. Define Your Vision Firstly, define what you want to achieve by implementing your digital transformation ideas. The vision changes from one business to another, even

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Business Intelligence In Real Estate: Empowering Industry with Insights

Business intelligence empowers real estate with valuable insights and informed decision-making by streamlining property search, enhancing listings,and simplifying buying and selling processes. Utilizing business intelligence in the real estate industry can offer significant advantages due to the vast potential of the market. The global real estate market size was valued at USD 3.69 trillion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 5.2% from 2022 to 2030. The implementation of business intelligence tools in the real estate sector enables investors to optimize profits and overcome obstacles. Many sectors, including finance, healthcare, transportation, and logistics, recognize the value of investing in business intelligence software development to unlock their business’s growth potential. Therefore, it is crucial to explore the benefits of business intelligence for real estate businesses. Can a real estate business intelligence solution deliver these advantages? In this article, we will outline the benefits of implementing business intelligence in the real estate industry, highlighting the five styles of business intelligence. Understanding Business Intelligence in Real Estate ● Business intelligence in real estate involves the collection, analysis, and interpretation of vast amounts of data to gain valuable insights and make informed decisions. ● Key components of BI in real estate include data gathering, storage, integration, analysis, and reporting. ● By harnessing the power of technology, including data visualization tools and predictive analytics, BI enables real estate professionals to extract actionable intelligence from complex data sets. What is Market Intelligence in Real Estate? Market intelligence in real estate refers to the process of gathering and analyzing data to understand market dynamics, trends, and opportunities. It involves monitoring and evaluating factors such as property values, rental rates, vacancy rates, supply and demand, economic indicators, and demographic information. Market intelligence provides a comprehensive view of the real estate market, enabling stakeholders to identify potential investment opportunities, predict market trends, and make strategic decisions. How is business intelligence used in real estate? The real estate industry is characterized by its complexity, involving large-scale operations with intricate details. In this context, data plays a crucial role. However, sifting through vast amounts of information can be a challenging task. This is where real estate business intelligence software becomes invaluable. A customized business intelligence solution tailored for the real estate industry not only analyses the extensive data generated from smart tools and systems but also helps identify key performance indicators (KPIs) for your organization. Additionally, commercial real estate can leverage bespoke BI solutions to explore new revenue models. When combined with machine learning algorithms, real estate business intelligence software provides actionable insights that assist investors in effectively managing their portfolios. Without a robust data interpretation system in place, valuable information and insights may go unnoticed, resulting in missed opportunities. However, by effectively reading and interpreting data, businesses can make informed decisions, leading to higher return on investment (ROI) and reduced costs. As you strive to optimize and grow your real estate business more efficiently, leveraging business intelligence and data analytics can be immensely beneficial. It is well-established that real estate heavily relies on business intelligence software solutions, as they offer significant advantages to companies, sellers, investors, and homebuyers alike. What are the benefits of business intelligence in real estate? Business intelligence offers numerous benefits in the real estate industry, revolutionizing various aspects of the business: Streamlined property search Business intelligence tools simplify the process of searching for properties. Users can analyze real estate data quickly, compare options, and make informed decisions. BI tools provide insights into nearby properties, allowing users to explore alternatives conveniently. Enhanced property listings Real estate platforms incorporating business intelligence software improve property listings. Sellers and brokers can provide detailed information about properties, helping potential buyers make informed purchase decisions. BI tools also utilise user search history and preferences to personalize property recommendations and create tailored offers. Efficient selling process Business intelligence software benefits both sellers and brokers. By analyzing past market performance and sales data, BI tools help sellers set competitive asking prices and stay updated with market trends. This streamlines the selling process and maximises profitability. Additionally, it eliminates the need for hiring additional staff to handle market analysis. Simplified property buying BI software simplifies the property buying process by offering tracking features. Users can monitor industry performance, such as property sales in specific locations, facilitating the setting of competitive prices. Business intelligence tools also provide insights and trends, leading to more closed deals and effective marketing strategies. Moreover, they offer a cost-effective alternative to hiring resources for data analysis. Financial management BI software in real estate enables efficient financial management. Instead of relying on complex reporting processes, real-time financial data is visualised on a dashboard. This allows users to monitor balance and cash flow statements and perform analysis and forecasting techniques easily. Connecting financial data with core business data provides comprehensive insights. Informed decision making Real estate business intelligence software empowers decision-making by consolidating data from various sources. The software provides valuable insights into all segments of the business, enabling profitable goal-setting and informed decision-making. By combining data sources, BI tools offer a comprehensive view of the business’s performance. Accurate pricing Business intelligence integrated software assists in setting the right asking price for properties. Whether you are a seller or buyer, analyzing trends provided by BI tools helps determine competitive and effective pricing strategies, leading to successful sales. Faster deal closure Business intelligence software expedites the deal closure process. In commercial real estate, where time is critical, BI tools provide access to comprehensive and up-to-date data. This allows brokers to identify and capitalise on profitable opportunities quickly. Visual representations like graphs and charts facilitate data interpretation, enabling efficient deal identification and closure. Conclusion The real estate industry is experiencing remarkable growth, and companies are actively exploring emerging technologies and innovative solutions to stay ahead. One such powerful tool gaining prominence is business intelligence (BI) in real estate. BI enables businesses to bridge the gap between market understanding and accurate forecasting, empowering them to make informed decisions. It also

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Overcoming Procurement Challenges: Strategies and Solutions

Procurement can be a real nightmare for businesses, from navigating complex regulations to managing multiple suppliers across the globe. One misstep can lead to missed deadlines, poor-quality products, hefty fines, and global supply chain disruption. For instance, The World Economic Forum estimates that disruptions in global supply chains can lead to a loss of $4.4 trillion in global GDP. But before that, let’s first understand what procurement means. What is Procurement? Procurement, the process of acquiring goods and services, is a crucial aspect of any business. It involves selecting suppliers, negotiating contracts, and managing relationships with them to ensure the timely delivery of quality products or services.  In today’s business landscape, organizations face a range of procurement challenges that can impact their operations, reputation, and bottom line. In this blog, we will discuss the top procurement challenges and strategies to overcome them. Effective procurement is critical for organizations as it enables them to control costs, manage risks, and maintain a competitive edge. It also plays a vital role in ensuring that organizations comply with regulatory requirements and ethical standards. As such, procurement must be managed efficiently to achieve business goals and objectives. Top Procurement Challenges As organizations strive to stay competitive in today’s ever-changing business landscape. Procurement has become a critical function that can make or break their success. However, there are numerous challenges, that professionals must stay informed about and adapt accordingly, to stay ahead of the game. Supply Chain Transparency Lack of transparency in the supply chain can lead to various issues, including poor-quality products, delivery delays, and reputational damage. It can be challenging to track the movement of goods and services across the supply chain, particularly if there are multiple suppliers involved.  Data Management Managing procurement-related data can be complex, particularly if it is spread across different systems or departments. Inaccurate or incomplete data can lead to errors in forecasting, budgeting, and supplier selection. Without accurate and complete data, organizations may struggle to identify cost-saving opportunities, negotiate favorable contracts, and assess supplier performance effectively. Supplier Relationship Management Establishing and maintaining effective supplier relationships is essential for procurement success. However, managing multiple supplier relationships can be challenging, particularly if they are spread across different regions and time zones. This can result in ineffective communication, resulting in process delays and breakdowns.  Compliance and Regulatory Issues Organizations must comply with a range of regulatory requirements, such as labor laws, environmental regulations, and data privacy regulations. Non-compliance can lead to hefty fines, reputational damage, and legal issues. Non-compliance with regulatory requirements can result in hefty fines. For instance, in 2020, the US Department of Justice imposed $2.8 billion in fines on companies for violations of the Foreign Corrupt Practices Act. Cost Management Managing costs is a top priority for procurement professionals. However, it can be challenging to balance cost-saving measures with the need to maintain quality and meet delivery deadlines. According to a 2021 Deloitte Global Chief Procurement Officer survey, the top three procurement priorities for businesses are cost optimization, supply chain resilience, and improving operational agility. Risk Management Procurement involves various risks, such as supplier bankruptcy, delivery delays, and quality issues. Failing to manage these risks can lead to operational disruptions and financial losses. Strategies for Overcoming Procurement Challenges Procurement is a critical function in any organization, responsible for sourcing and acquiring the goods and services needed to support the business. Despite these obstacles, procurement teams can overcome them and emerge stronger by adopting effective strategies. Leveraging Technology Solutions A study by the Hackett Group found that procurement organizations that leverage technology to automate processes and improve data quality can achieve up to 25% savings in procurement costs. Technology solutions such as procurement software, e-sourcing platforms, and data analytics tools can help organizations manage procurement more efficiently. These solutions can automate manual processes, streamline workflows, and provide real-time insights into procurement data. Investing in Supplier Relationship Management Programs Developing robust supplier relationship management programs can help organizations build strong and long-lasting relationships with their suppliers. This involves regular communication, performance evaluations, and incentivizing suppliers to meet key performance indicators. Risk Management: Assessment and Planning Regular risk assessments help organizations identify and mitigate procurement-related risks. This involves evaluating the likelihood and potential impact of various risks and developing risk management plans to mitigate them. Improving Compliance Training & Monitoring Organizations should develop comprehensive compliance monitoring and training programs to ensure that employees and suppliers comply with regulatory requirements and ethical standards. This includes regular audits, training sessions, and communication about the importance of compliance. Implementing Cost-Saving Measures Organizations can implement various cost-saving measures, such as consolidating suppliers, negotiating better contracts, and reducing waste. However, it is essential to balance cost-saving measures to maintain quality and meet delivery deadlines. Implementing Solutions for Procurement Challenges Implementing the above strategies can help organizations streamline their operations & gain more visibility above the procurement challenges. However, overcoming these challenges may require assistance from technology and industry experts. It requires more understanding of the business data, risks associated, and regulatory updates. Data Analytics Data analytics companies and business intelligence consultancy services provide organizations with the expertise and tools needed to manage procurement-related data more efficiently. These services help organizations identify patterns, trends, and insights from their procurement data, enabling them to make better-informed decisions. Benefits of Data Analytics Improved Data Quality: Data analytics consultancy services help organizations improve the quality of their procurement-related data. By standardizing and cleansing data, organizations ensure that it is accurate, complete, and up to date. This, in turn, enables organizations to make better-informed decisions, reduce errors, and improve supplier performance. Real-time Insights: Data analytics consultancy services provide organizations with real-time insights into their procurement data. By using dashboards, reports, and other visualization tools, organizations can quickly identify trends, patterns, and anomalies in their procurement data, enabling them to take corrective actions promptly. Cost Savings: Data analytics consultancy services help organizations identify cost-saving opportunities. By analyzing procurement data, organizations can identify areas where they can reduce costs, such as by consolidating

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Leveraging Power BI in FMCG

Insights derived from retail and eCommerce data can help the FMCG industry in various ways. Business intelligence tools like Power BI are useful in making faster business decisions based on real-time data. Here, we’ll discuss the role of BI in FMCG markets.  FMCG (Fast-Moving Consumer Goods) is also known as Consumer-Packaged Goods and deals with a large variety of perishable and durable goods from different industries. From food items to cosmetics, stationery, and groceries, many products are categorized as FMCG. According to Cognitive Market Research, the global FMCG market is estimated to reach $17,939.41 billion by 2030, with a CAGR (compound annual growth rate) of 6.11%. In other statistics, The FMCG’s share is expected to touch 18% this year in Africa.  The FMCG market is always bustling with activity online and offline. Countless sales happen each day around the globe. Needless to say, large volumes of data are generated by businesses, vendors, and customers. This data can be analyzed to make better decisions and streamline internal operations. FMCG Business Intelligence is in high demand in the market to derive data-based analytics and insights. Business intelligence is a part of many industries. The global BI software market is expected to touch US$25.73 billion in 2023.  In this blog, we’ll read more about the use of analytics and reporting in the FMCG industry and the role of Power BI in delivering insights in real-time.  What is the Role of Analytics in FMCG? Digitization The FMCG industry is going digital by adopting the latest technologies and tools to collect, store, and analyze data generated by businesses. This allows for seamless connectivity, greater flexibility, agility, and scalability.  Inventory Management Business intelligence companies create exclusive dashboards to provide data visualizations about inventory held by the business at the manufacturing unit, warehouses, stores, and the ones in transit. This enables brands to cater to the changing market demands without running out of stock.  Supply Chain The supply chain is vital for the FMCG industry to thrive. We have seen how disruption affected businesses during Covid lockdowns. However, analytics can help businesses prepare for such adverse conditions and minimize losses.  Warehouse Operations A smarter warehouse is more effective and can reduce the risk of damage to the stored items. Using warehouse management software and integrating it with data analytics tools will provide real-time insights about stock levels, shipment movement, etc.  Logistics and Transport FMCG analytics and reporting dashboards can help businesses plan their deliveries carefully to avoid delays and increase customer satisfaction. Geo-analytics makes it easier to plan the distribution and delivery routes to minimize cost, distance, and time taken for the shipment to reach from one point to another.  Personalization Customers demand personalization in today’s world. Brands can offer personalized products, deals, discounts, and loyalty programs by analyzing customer data to understand their preferences. This will increase customer loyalty and attract more consumers to the business.  Pricing and Sales The prices of FMCG products are flexible and change based on market demand, quality, availability, etc. Businesses can adopt a proactive pricing model to automatically adjust the prices based on the insights derived from BI tools.  How is Power BI Used in the FMCG industry? Microsoft Power BI is a popular business intelligence tool used by many leading businesses from different industries. Companies hire BI consultants to set up the Power BI dashboards and customize them based on business requirements, goals, and metrics. In this section, we’ll see how the tool can be used in the FMCG industry to deliver real-time insights for decision-making.  Unified Analytics The FMCG data comes from various sources like legacy systems, IoT (Internet of Things) devices, packaging units, distribution units, warehouses, factories, stores, etc. This data has to be combined and presented in a single dashboard to streamline the business operations. Power BI is used to create a unified dashboard with real-time data updates from several sources. Decision makers can get a macro and micro view of the data from each source and organize the dashboard layout to suit their needs.  Monitor KPIs KPIs or Key Performance Indicators are essential for every business and department to track their progress and ensure they are moving in the right direction. Businesses can build Power BI KPI dashboards to track each indicator/ metric with the goals, resources, and other influencing factors. It allows employees to make proactive decisions to achieve weekly/ monthly/ quarterly/ yearly goals based on real-time data.  Sales Dashboard How many sales have each product recorded for the defined duration? What is the overall sales value? How is each store performing in reaching the sales targets? The Microsoft Power BI sales dashboard provides answers to many such questions. It keeps the sales and finance departments up to date with the latest information about the stock. This allows employees to plan and implement marketing campaigns at the right time to boost sales. It also shows the weak areas where the business needs to improve to sell more products.  Supply Chain Dashboard The FMCG industry cannot afford supply chain disruptions. Reactionary decisions can help with damage control but don’t minimize risk. However, with a supply chain Power BI dashboard, businesses can track the internal and external factors that can cause trouble. The dashboard provides warning signs and alerts to be proactive in avoiding risk and minimizing losses. It also helps choose the best path to optimize resources and maximize returns. From comparing vendors to speeding up deliveries, the dashboard is helpful in many ways.  Campaign Analysis Dashboard Power BI in the FMCG industry also helps in streamlining marketing campaigns and analyzing their performance. Many brands in the industry rely on omnichannel marketing to reach out to a wide range of target audiences. This data from multiple sources can be easily collected and analyzed to provide clear reports using the Power BI tool. It is a great way to work on the Marketing Mix Model, where multiple factors, such as price, promotion, market demand, product placement, etc., are used to determine if the campaign is converting into revenue.  Demand Forecasting Dashboard Business intelligence is combined

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Top 13 Data Engineering Trends and Predictions 2023

Data engineering is the process of building, deploying, and integrating data pipelines to streamline data flow within an enterprise. It is the foundation for business intelligence processes to run and deliver actionable insights. Here, we’ll discuss the top data engineering trends and predictions for 2023.                Data engineering is a growing discipline in the global market. It involves the process of designing and building data pipelines to collect, transform, and transport data to end users (data analysts and data scientists) to derive actionable insights. The data pipelines have to connect all data sources to the central data warehouse or data lake. The success and accuracy of data analytics depend on how well data engineers set up the foundation. This requires high-level data literacy skills.  Unfortunately, there is a gap between the demand and supply of qualified and experienced data engineers in the market. It’s one of the primary reasons many SMBs and large enterprises partner with offshore data engineering companies to adopt advanced data-driven technologies and processes for effective decision-making.  Many experts feel that 2023 will be a vital year for data engineering. In this blog, we’ll take a detailed look at the various big data engineering trends and predictions that will transform the industry at different levels.  13 Top Data Engineering Trends and Predictions in 2023 1. Increase in Cloud Management Cloud has become a favorite for many businesses around the world. Small, medium, and multinational companies are moving their data and IT infrastructure from on-premises to cloud servers. Data Engineering in AWS (Amazon Warehouse Services), Microsoft Azure, Red Hat, etc., are in high demand. While some companies are directly building data pipelines on the cloud, others are migrating their existing systems to cloud servers.  2. Greater Budget Allocation for FinOps Another trend is the need for data cloud cost optimization. Top vendors like BigQuery and Snowflake are already talking about ways to optimize the data cloud cost and make cloud services more cost-effective to businesses from various industries and markets.  Financial managers are becoming a part of data teams to ensure that their data engineering strategies and processes will deliver the necessary returns. While there aren’t enough best practices in the industry (data engineering is still in its early stages), data teams are finding ways to overcome the challenges and make their cloud-based data architecture more agile, flexible, scalable, and future-proof. The cost of ownership is also a crucial topic of discussion.  3. Usage-Based Data Workload Segmentation In the current scenario, companies are focusing on using a unified cloud-based data warehouse. For example, AWS data engineering is popular for offering data warehousing services to several business enterprises. However, the same type of database cannot be suitable for all kinds of data workloads.  Experts predict that organizations will shift from data warehouses to data lakes where different databases and tools are individually organized and grouped into a unified setup. This can make the data architecture cost-effective and increase its performance.  4. Data Teams with Higher Specializations Though data engineers are in short supply due to the complexity of the job, data teams will continue to expand and include professionals with more specializations. For example, the data teams will have data engineers, data analysts, data scientists, analytical engineers, etc., to handle different aspects of establishing and using the data architecture in an enterprise.  DevOps managers, finance managers, data reliability engineers, data architects, data product managers, etc., are other specializations we will see in future data teams.  5. Metrics Layers in Data Architecture In traditional data pipelines, the metrics layer (also called the semantics layer) is in the middle, between the ETL (extract, transform, load) layer and the cloud data warehouse. It defines the metrics for the values in the data tables and ensures consistency to eliminate errors during business analytics.  Experts predict that the metrics layer will have an addition of a machine learning stack that has its own infrastructure. The ETL layer will continue to do its job, but the data will flow through the machine learning stack, which will help data scientists choose the right metrics for the given data. One day, the metrics layer and the ML stack will be combined to work as a single automated unit.  6. Data Mesh The concept of data mesh is one of the emerging DE trends discussed by many top companies. This new architectural model is said to help organizations overcome the limitations of traditional data warehouses and centralized data lakes. Date mesh is the decentralization of data governance and ownership. As discussed in the previous trends, domain-specific data platforms, tools, and databases will be established for greater efficiency.  The idea is to build resilient, dynamic, and agile data pipelines that offer more autonomy, interoperability, and control to every member of the data team. However, establishing a data mesh requires more skills and tools. However, centralized data warehouses will continue to exist until enterprises can successfully build and deploy data mesh architecture.  7. Increase in Success of Machine Learning Models In 2020, a report by Gartner shows that ML models had only a 53% success rate. That too when they were built by companies with strong AI foundations and prior experience. It means even three years ago, only half the machine learning models could be deployed accurately and effectively.  However, the success rate has been increasing over time. Soon, a greater percentage of the ML models can be successfully deployed by organizations. Of course, this will be possible when businesses overcome challenges such as misalignment of needs and objectives, overgeneralization, testing, validating issues, etc.  8. Changes in Cloud-Premises Architecture The architecture for data flow within an enterprise usually combines three different software applications. Databases from different departments (CRM, CDP, etc.) are connected to the data warehouse. The business intelligence and data visualization tools are connected to the other end of the data warehouse. Data flow occurs only in one direction. However, in modern data engineering, the data flow will occur both ways. The next-gen cloud data architecture will be bi-directional and allow data

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