Page 24 – DataToBiz

Parindsheel Dhillon
April 12, 2023
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3 Benefits of OEE in Manufacturing: Take Your Business to the Next Level

As a production company, maximizing your equipment’s productivity and tracking production in manufacturing is crucial to maintaining profitability and staying competitive in the fast-paced industry. One way to achieve this is by tracking your Overall Equipment Efficiency (OEE) and leveraging the insights gained to optimize your operations through data-driven decisions. In this blog post, we’ll explore what OEE is, why it matters, and how you can start tracking it today using automated systems and data analytics. What is OEE? OEE or Overall Equipment Efficiency tracking is a data-driven approach used to measure the effectiveness of your equipment in producing goods or services. It considers three key factors: availability, performance, and quality. These factors are then multiplied together to get an overall OEE score, which ranges from 0 to 100%. What Are the Factors Affecting Equipment Effectiveness? Availability Availability refers to the percentage of time your equipment is available for production. If your equipment is frequently down for maintenance or repairs, your availability score will be lower, leading to equipment downtime reduction. Performance Performance measures how well your equipment performs when it’s running. This includes factors such as speed, setup time, and changeover time, which are key factors for production efficiency. Quality Quality refers to the percentage of products or services that meet your quality standards, which are critical for maintaining customer satisfaction. If you produce a high percentage of defective products, your quality score will be lower. What is an Ideal OEE Score? Here are 4 OEE (Overall Equipment Effectiveness) benchmarks commonly used in manufacturing: Benefits of OEE in Manufacturing Tracking your OEE provides several benefits to your manufacturing unit. Some of them are: 1. Identifying Inefficiencies By tracking your OEE, you can identify areas of your production process that are causing bottlenecks or downtime, leading to improved production capacity. This also allows you to make data-driven decisions on how to optimize your operations and improve productivity. 2. Increased Profitability Improving your OEE score directly correlates to increased productivity, which leads to higher profitability, a key advantage in a fast-paced business environment. By maximizing your equipment’s efficiency, you can produce more goods or services in less time, reducing costs and increasing revenue. 3. Improving Quality By measuring quality as a factor in your OEE score, you can identify areas where your products are not meeting your quality standards. This allows you to take corrective actions to improve product quality and customer satisfaction. How to Start Tracking OEE? To start tracking OEE, you can use automated systems such as sensors or software to gather data on your equipment’s availability, performance, and quality. This will allow you to calculate your OEE score using the following formula: OEE = Availability x Performance x Quality You can then use this score to identify areas of improvement in your production process and take action to optimize your operations through data analytics. OEE tracking is a simple yet powerful way to improve the efficiency and profitability of your production company. By production tracking, identifying inefficiencies, increasing manufacturing capacity, increasing productivity, improving quality, and proper industrial production capacity utilization you can stay competitive in the manufacturing industry and gain a competitive advantage in this fast-paced business environment. Power BI for Overall Equipment Efficiency Power BI is a powerful data analytics tool that can help manufacturing units track their Overall Equipment Efficiency (OEE) by providing real-time insights into their product management performance metrics. Here are some ways Power BI can help with OEE tracking: 1. Data Visualization Power BI can help production companies track OEE by providing real-time data visualization dashboards that can show the performance of each machine or equipment. This allows production managers to identify areas of inefficiency in their production process and take corrective actions quickly. 2. Integration Power BI can integrate with different data sources like Microsoft Excel or SQL Server to collect and analyze data from different production systems. This makes it easier for production managers to get a complete view of their production process and identify the root cause of any issues. 3. Customizable Reports Power BI allows production companies to create customized reports showing different KPIs (key performance indicators) related to OEE trackings, such as machine utilization, downtime, and production yield. This helps production managers to identify opportunities for improving production efficiency and profitability. 4. Machine Learning Power BI can be used to implement machine learning algorithms to predict potential issues with the equipment or machines. This allows production companies to take preventive measures to avoid downtime and improve overall production efficiency. 5. Mobile App Power BI can be accessed through a mobile app, which allows production managers to monitor the production process from anywhere and anytime. This provides real-time visibility into production operations and helps managers make informed decisions quickly. Best Practices to Improve OEE in Manufacturing These are some of the best practices that should be implemented to improve OEE: Rowing in a Digital Partner Successfully implementing OEE can be a challenge for some enterprises, hindering their ability to improve it. Assigning a digital or project partner can help overcome challenges and offer complete accountability for OEE implementation. With a consultant/partner in place, issues can be resolved, leading to successful implementation and sustainable changes. Real-Time Data Monitoring and Analytics Today, manufacturers should avoid using outdated manual data collection methods and managing paperwork or Excel files. Instead, they should adopt real-time monitoring to identify performance issues and analyze data for identifying trends and areas for improvement. This enables them to promptly address issues before they escalate into major problems. Implement Continuous Improvement Programs Continuously review and improve processes to identify and eliminate waste, reduce downtime, and improve overall equipment performance. Encourage employees to participate in improvement initiatives and provide them with the necessary training and resources to make changes. Implementing Root Cause Analysis Root Cause Analysis (RCA) is recommended as it is a methodical problem-solving process that identifies the fundamental cause of a problem. By addressing the root cause instead of symptoms, the recurrence of any equipment problem can

Kavika Roy
March 31, 2023
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DataToBiz Celebrates 5 Years of Empowering Enterprises Through Data-driven Insights

DataToBiz, a global entity empowering enterprises with data-driven solutions for 5 years and counting! Their team of experts has unleashed the power of data to fuel growth across industries and tech hubs. “Data transformation is the alchemy that turns data to gold, and we are data alchemists for 5 years now,” says Ankush Sharma, Co-founder, and CEO, DataToBiz. DataToBiz, a leading global data science, and digital transformation firm headquartered in Chandigarh, India is proud to announce its 5th anniversary in the industry. Over the past five years, DataToBiz has fueled businesses by unlocking real business value from their raw data, leveraging cutting-edge technologies into business systems, and providing data analytics expertise and innovative solutions. A go-to choice for enterprise success Since its establishment in 2018, DataToBiz has become a trusted partner for enterprises across various industries, offering solutions that help turn their data into actionable insights. For the past few years, they have stood as Clutch’s leader under the “Top artificial intelligence company in India”. The solid team of experts, data scientists, engineers, and functional consultants have helped clients process their raw data, streamline their day-to-day operations, automate their workflows, empower marketing tactics, and improve their customer engagement, among other digital transformation deliverables. Collaborations beyond borders Over the years, DataToBiz showcased continued growth at an accelerated pace in major tech regions of North America, Europe, the Middle East, APAC, and South Africa. With an exponential growth of 57% YOY for the last year, they now hold multiple partnerships in several arrays within the same regions. DataToBiz at its core has a solid team of experienced consultants across multiple domains along with cutting-edge technology experts, ensuring 360 degrees of business growth by providing both consultation and implementation on business intelligence, data warehousing, artificial intelligence and automation, data analytics, NLP, and offshore team augmentation, etc. Along with the business expansion over major tech hubs, DataToBiz stands as a trustworthy partner for its customers and clients over the period of 5 years. They ensure serving the existing clients with end-to-end solutions and successfully addressing the dire needs of digital transformation from their partners. Innovative offerings Apart from driving digital innovation through custom implementation, DataToBiz in-houses two live AI-based product lines including PrepAI, the most advanced AI-powered question-generation platform, and HirelakeAI, an AI-based intelligent hiring solution, along with other smart automated solutions under development. “The enthusiasm within us of completing 5 years is real, and we want to thank our clients, partners, and employees for their continuous trust and support” adds P.S Dhillon, Co-founder, and COO, DataToBiz. “We look forward to upcoming decades of driving innovation, delivering value, and making an impact with the power of data.” Originally Published on Digital Journal

Yashica Chopra
March 24, 2023
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14 Vital KPIs for Sales Analytics Dashboard: Unlock Sales Insights

Key Performance Indicators (KPIs) keep the sales team aligned and work towards a common goal to make the brand successful and profitable in the market. We’ll discuss the essential KPIs in sales and some examples to understand the need for a sales analyticsal dashboard within an enterprise. The sales team has a crucial role in bringing quality leads and increasing conversions. Every sales department has a list of KPIs to track and analyze their processes. However, setting the wrong KPIs or choosing too many (or too less) can lead to decreased revenue and loss. Statistics reveal that a whopping 81% of sales and marketing teams don’t take time to review their process. Furthermore, 65% of sales managers don’t have the necessary resources to increase sales. Another report shows that many sales leaders believe that half the people they contact are not the right audience for the product or service. In such instances, it becomes vital to understand the need for accurate and measurable key performance indicators in sales. Choosing the right KPIs in sales can help the team overcome various challenges and reach out to exact target markets. This is possible by hiring experienced business intelligence service providers to handle the process from start to finish. In this blog, we’ll read more about which KPIs to include in your sales KPI dashboards and why. Key Takeaways What are Sales Performance Metrics? Sales key performance indicators and metrics are factors that help you track and evaluate the performance of your sales team. KPIs provide a direction for the sales team to plan and implement their strategies to attract new customers and increase sales. KPI in sales can be considered a goal, target, objective, or priority. When you fix the right KPIs for your business, you will find it easy to align long-term goals with training opportunities, set up the sales pipeline (and eliminate roadblocks), maximize profits, and optimize the sales process end-to-end. The sales KPIs also help define the daily sales tactics and best practices. What is a Sales Performance Dashboard? Sales KPIs and metrics have to be measured continuously to ensure that the sales strategies are in sync with the goals. This is done by creating a dashboard using business intelligence tools like Power BI or Tableau. The data visualization application is integrated with the existing software in your business to streamline data flow. Business intelligence consultants will create and customize the sales KPI dashboard based on your organization’s niche, sales volume, target audience, goals, and KPIs. The sales team can directly access the dashboard to get real-time insights in graphical formats and make day-to-day decisions. The sales performance dashboard is an interactive tool that gives insights about leads, revenues, targets, achievements, etc., for various durations. It helps your sales teams improve performance and stay one step ahead of competitors. KPIs for Sales Analytics Dashboard Some sales teams have less than five KPIs, while some may have close to twenty. You have to determine the most effective performance indicators for your business and monitor them. It’s not uncommon for sales teams to change their KPIs if they don’t get the expected results over time. A sales analytical dashboard will make things easy and help you identify the issue in the earlier stages. Taking corrective action immediately will minimize losses and amplify ROI. So, what are the leading KPIs for sales? Check out the list below: 1. Lead Generation Percentage You need to know how many leads the sales team is generating. A lack of leads implies a lukewarm or cold performance. It can also mean that the target audiences are entirely wrong and have nothing to do with the product or service you offer. 2. Qualified Leads The next important KPI is the number of qualified leads. Not every lead generated by the team will deliver value to your business. However, if a majority of the leads don’t qualify, it indicates an issue with the sales strategy. 3. Email Open Rate This KPI is particularly important if you use an email marketing strategy to reach out to the target audience. You would want more receivers to open the emails and click on the links (action buttons) and engage with your business. 4. Lead Response Time Lead response time provides insights about whether the sales rep is following leads and sending timely updates, if the established process is delivering results, and which areas are causing friction and increasing the time taken to qualify leads. 5. Brand Mentions Brand mentions are another important KPI that helps in determining your presence on the internet. Of course, it is essential to see if the mentions are positive or negative. A higher percentage of positive brand mentions indicates that more people are discussing your products and services. This data helps in fine-tuning targeted marketing strategies for each channel. 6. Conversion Rate for Visitors to Leads The visitor-to-lead conversion rate is measured for the business website. It helps track the CRO (conversion rate optimization) of the website. This data can be used for SEO and to create effective marketing emails. 7. Competitor Pricing Your business has to constantly deal with competitors. Their pricing could affect your sales and vice versa. This KPI helps your sales team to track the competitors’ prices and justify your prices. For example, if your prices are higher than the market average, you should provide a good reason to justify the premium costs. 8. Average Conversion Time The average conversion time KPI measures the duration of converting a lead to a customer. It involves the entire lead nurturing process and the customer’s journey through the sales funnel. Lesser conversion time is a sign of an effective sales strategy. 9. Average Closed-Lost Time It is equally important to track the time taken to do away with unqualified leads. This percentage has to be low. If you take more time to lose a lead, it means that you are spending more money on something that won’t give you returns. Leads that go nowhere should be filtered in the early stages. 10. Customer Retention Customer retention is the most important KPI to measure for

Pawan Chabra
March 17, 2023
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15 Best Data Engineering Companies in 2025 – Latest Picks

Too much data, not enough clarity? These top data engineering companies are making sense of the chaos—here’s who’s leading in 2025! Businesses are generating a massive amount of data globally. According to estimates, Internet users generate about 2.5 quintillion bytes of data each day on average. It is expected that global data generation will reach 463 exabytes per day by 2025. Companies have realized the importance of data management and almost 97.2% of companies are investing in big data and AI. However, with the rise of unstructured data sources and the increasing importance of data lakes, it has become critical for businesses to rely on data engineering companies for effective storage, processing, and deriving insights from the available data. The big data and data engineering services market(Azure, AWS, Big Data, GCP) is expected to grow at a rate of 24.13% in the forecast period of 2024 to 2029. The increase in the number of interconnected devices and awareness among companies to improve the level of data management processes is making it increasingly important to select the right data engineering company. Companies need modern data engineering solutions to handle the rising amount of data being generated from various sources. A data engineering company helps design and build systems that can handle data collection, storage, and analysis at scale. Data Engineering Companies in 2025 – Top Picks DataToBiz DataToBiz specializes in simplifying complex data engineering hurdles businesses face, offering innovative big data engineering solutions for businesses of all sizes(startups, mid-sized, or large-scale organizations). From digital transformation strategies, managed analytics, data warehousing, predictive analytics, and on-project staff augmentation services, DataToBiz caters to various industries, including FinTech, ecommerce, manufacturing, retail, e-commerce, IT, and healthcare. With a notable global presence, DataToBiz works with clients in the US, UK, Middle East, India, and Australia, providing expert guidance in data engineering and analytics. Being the official partner of Google, AWS, and Microsoft, and continuously listed as a top Artificial Intelligence company over Clutch, DataToBiz helps businesses implement efficient data management systems and processes, enabling them to harness the full potential of their data assets. Hummingbird Hummingbird was started in 2015 and it today boasts offices in New York, San Francisco and Denver. A data engineering and analytics firm, Hummingbird provides customized solutions to its clients. It has experience working with startups and even Fortune 500 companies. It has worked in industries like financial services, entertainment, and retail. The data engineering team at Hummingbird follows an on-site and remote working model based on the requirements of the client. It has real-world experience in building data management solutions and deploying them at scale for a variety of its clients. Mindtree Mindtree is another global technology consulting and services firm that works in the field of data engineering. The strong global workforce of Mindtree enables several businesses to harness digital and cloud technologies to achieve business objectives. Partnered with over 275 of the world’s most pioneering companies, it brings forth extensive domain knowledge, relevant experience and expertise to deliver data engineering solutions as per the requirements of the client. Part of the Larsen & Toubro Group, Mindtree is known for providing high-quality services and consistent results. For companies looking at reimagining business models and maximizing data management capabilities with data engineering, Mindtree can prove to be the right partner. Databricks Databricks is known for providing solutions to the world’s toughest problems in the field of data management. As a leader in unified data analytics, it is a one-stop shop for data engineering and analytics requirements. With built-in data quality testing and support, the data engineering function at Databricks follows best practices for design and development. Databricks is known for orchestrating reliable production workflows and focuses on getting the maximum value from data. With simplified data ingestion and automated ETL processing, the next-gen data processing engine provides a strong foundation for performance, reliability and governance. Atos Atos is a global leader in digital and IT technologies with a presence in over 71 countries and revenue of over 11 billion euros. It is a popular name in the European market, especially in the area of cybersecurity, and cloud & performance computing. Known for providing end-to-end solutions, it can provide cutting-edge data engineering design and frameworks that can redefine the data management strategy of any organization. Atos is a SE (Societas Europaea) company that is listed on the Euronext Paris and is also a part of the CAC 40 ESG and Next 20 Paris Stock indexes. In other words, if you are looking for a global leader that has a large employee base of over 1 lakh people, Atos can be a good choice. Deloitte Deloitte is a global consulting firm that is committed to helping its clients become leaders wherever they choose to compete. Part of the Deloitte Touche Tohmatsu Limited network, it provides high-quality data analytics and engineering services to its clients. It works with a philosophy of building a stronger world with stronger clients. As a result, it brings together people from diverse backgrounds to deliver futuristic data engineering solutions and models to its clients. Deloitte has a wide global reach among several developed and developing markets. It also has a strong reach in the area of big data and artificial intelligence. For businesses looking at a global partner that is strong on the consulting side, Deloitte can be a good choice. Mphasis Mphasis, headquartered in Bangalore, India, is a well-established IT solutions provider with a significant focus on data engineering. They offer a broad spectrum of data services, including data integration, data warehousing, big data solutions, and cloud-based data engineering. Mphasis caters to a wide range of clients, from Fortune 500 companies to smaller businesses, across various industries like banking, financial services, insurance, and healthcare. They publicly list clients such as DXC Technology and have a strong presence in the financial sector. Capgemini Capgemini is another global name that is known for providing high-quality data engineering and analytics services for building an inclusive and sustainable future. Harnessing the

Shashank Dharasurkar
March 07, 2023
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Unlocking the Future: 9 Mind-Blowing AI Trends to Look Out For

Hey Alexa, “What are the top Artificial Intelligence trends this year? If you ask Alexa or Siri, you will probably hear that the most trending topics are Language modeling, Conversational AI, Computer Vision in Business, and the list. But have you noticed that your assistant is also an example of Language Modeling and Conversational AI? Yes! You are using this advanced technology in your daily life every day without even being aware of it. With the speed at which AI is disrupting industries and even our daily lives, it’s no wonder that experts are calling AI the future of technology. Let’s find out more about current AI trends and how they are affecting the world. Where Is Artificial Intelligence Used Today? Artificial Intelligence is changing the shape of the technology field. It’s now available in various sectors like transportation, manufacturing, health, and finance to automate all the possible systems to increase efficiency and performance. For instance, you can use mobile phones to diagnose diseases. The architecture provides a high-performance system with accuracy and efficiency. Another great example of AI is transportation. A system like Google Maps can analyze the traffic movement speed with accuracy. This program provides records at any time and on-the-spot road incidents. The analysis result includes construction work, heavy traffic, and even accidents. In the manufacturing industry, system maintenance with predictive and preventive mechanisms helps the management teams to avoid downtime. Also, AI systems in quality control help increase work production. The finance sector also leverages ML capability for fraud detection. AI and ML also play a vital role in the smart payment process, insurance, and investment recommendation. PrepAI is another example where AI is getting used in the education sector. PrepAI was originally developed and maintained by the DataToBiz company, which also uses the AI model for different AI services. On this platform, people like teachers or instructors can use the AI model to create various types of exam test papers. How Will Artificial Intelligence Change The World? From smartphones to chatbots, we are already using AI in our daily life. AI is evolving day by day. It observes our routine including our likes or dislikes and our purchases. Then AI specialists, or we can say AI developers, research all that data to train machines on how to learn from it and predict what we want. Following are some predictions done by the USC researchers based on their analysis. Healthcare The research analysis suggests that AI programs with computer vision will allow doctors and well-equipped hospitals to analyze data. Based on that analysis, doctors can customize health care according to individual patient’s genes. AI will be able to diagnose major diseases like brain tumors and will suggest which cancer treatment will be suitable before it worsens. Several types of research are underway to develop AI-powered applications. Those applications are aimed to help doctors diagnose and treat patients with better medical care. You can expect a different future in healthcare as it will adopt robots to interact with the patient. They will check the patient’s health condition and assess the need for a doctor’s appointment. AI will make our life simple with our clinical and healthcare history. Retail According to research, the adoption of ai-powered business intelligence in the decision-making process will make a huge impact on business growth and performance. In the future, AI-powered drones will deliver packages up to 5 pounds in less than 30 minutes. Amazon has already started working on this project with proper safety and reliability measurements for package delivery. There is no fixed date for this delivery to get on the road, but you can expect the autonomous delivery of goods with drones in the next decade. Apart from autonomous delivery, future retail with AI will get individualized with virtual racks. The racks will get customized according to previous history and purchases made by customer choice. Entertainment In the future, users will be able to order a movie that will be completely customized according to their desire. Even working independently, AI will assist humans in their own creative patterns like helping writers to avoid writer’s block by providing suggestions. Furthermore, in the present era, Artificial intelligence is still in action in the form of Google Assistant, Siri, and Cortana. They are able to handle most home devices connected to the internet over voice commands. How Big Is The Artificial Intelligence Market? The growth of AI in every possible application and its easy development dragged government interest toward it. Now the government is also taking a step ahead to invest in AI and its all related technologies. According to Verified Market Research, the global market size of artificial intelligence was worth US$51.08 Billion back in 2020. It is projected to reach up to US$641.30 billion by the year 2028 with growth at a CAGR (Compound Annual Growth Rate) of 36.1% from 2021 to 2028. Apart from that, many sectors like aerospace, healthcare, and manufacturing are adopting AI. Thanks to its in-depth learning and Artificial Neural Network (ANN) mechanism. Also, the capability of big data interpretation and analysis boosted the demand for AI industry solutions. The advanced AI development companies in cloud computing infrastructure and improved dynamic AI solutions have made the potential growth of the AI market. AI is getting used mostly to automate dangerous tasks in the manufacturing industry. Modern AI companies need people with certain skills to adopt, manage, and train AI systems. Top Artificial Intelligence Trends 1. DALL-E Earlier this year, Silicon Valley-based research lab OpenAI unveiled DALL-E, which surprised the internet. In terms of artificial intelligence, this tool is getting considered one of the most advanced systems on the market for creating images. The system works as you can create hyperrealistic photographs or artwork by typing a description. DALL-E is currently unavailable to the public. Researchers, academics, journalists, and artist testers are the only ones who can access to use this system. The company has recently announced that it will invite more people to the event. As

Yashica Chopra
March 03, 2023
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7 Top Business Intelligence Consulting Firms in the UK to Watch Out in 2025

Business intelligence (BI) deals with collecting, cleaning, storing, analyzing, and presenting data in a graphical format to enable data-driven decision-making in SMBs and large enterprises. BI deals with various aspects, ranging from performance benchmarking to predictive analytics. This is where BI consulting companies step in. Here’s a list of the top Business Intelligence consulting firms in UK to partner with and adopt the data-driven model. Business intelligence is the collection of tools, applications, strategies, and approaches to gather, process, and analyze data to derive insights. BI converts raw data into actionable insights that are further used to make business decisions. Many top-level executives agree that business intelligence is important for strategic decision-making. However, the adoption rate seems to be progressing slowly. A few reasons for this are the lack of infrastructure to handle advanced applications, the gap between existing and required talent, and the cost of implementing BI. That said, these challenges are easy to overcome. Leading enterprises partner with top business intelligence consulting firms instead of starting the project from scratch. This allows enterprises to work with expert BI professionals without worrying about the cost. In this blog, we’ll know more about business intelligence and will review the compiled list of business intelligence consulting firms in UK. Is Business Intelligence in Demand in UK? The business intelligence market in the UK is expected to grow at a CAGR (compound annual growth rate) of 9.2% by 2028. BI tools are used to help enterprises make data-driven decisions and rely on real-time insights to survive market competition. Microsoft, IBM, SAP, Oracle, and Tableau are the top five BI tools used in the United Kingdom. The UK government has signed a three-year MoU (Memorandum of Understanding) with Microsoft to revamp the internal processes in public sector organizations and move the systems to the cloud. Many UK-based businesses use BI tools in sales and marketing to increase their revenue and enhance customer satisfaction. What Are Business Intelligence Solutions? A BI solution combines technology and strategy to gather, analyze, and interpret data from multiple sources (internal and external) to provide accurate information and reports about the past, present, and future of an enterprise. Historical and real-time data is collected and analyzed to understand past trends, current market conditions, and future opportunities & threats. Descriptive and predictive analytics are a part of business intelligence solutions. Business intelligence capabilities allow organizations to: Business intelligence solutions can be adopted across different verticals in an enterprise. It helps businesses use historical and current data to understand trends and patterns. BI reports are used by HRs, finance teams, sales & marketing teams, customer service departments, top management, etc., to make day-to-day and long-term decisions. A few examples of BI solutions are: What Does Business Intelligence Consultant Do? The role of a BI consultant changes from one organization to another. For example, BI experts from business intelligence companies offer end-to-end services to help clients adopt business intelligence tools and processes in an enterprise. They are responsible for the following: In-house BI professionals have a narrow scope of responsibilities and focus more on generating reports based on the derived insights. Top Business Intelligence Consulting Firms in UK 1. DataToBiz DataToBiz is one of the top global business intelligence companies with clients from the UK, Canada, Australia, India, the US, and the Middle East. The company helps startups, SMBs, MSMEs, and large enterprises unlock the potential of data and use analytics for making faster, better, and more efficient decisions. The company has developed products like PrepAI, HireLakeAI, SensiblyAI, etc., to offer AI-driven customized solutions for businesses from various industries. DataToBiz has experience in offering complete solutions to enterprises belonging to EdTech, FinTech, human resources, manufacturing, supply chain & logistics, travel, healthcare, surveillance, banking & insurance, media & entertainment, hospitality, and more. It offers personalized solutions for: DataToBiz has flexible pricing and aims to help businesses reduce their cost of investment without compromising quality or productivity. The company has a team of experienced BI professionals who can handle projects of varying sizes and complexities. Innovative and out-of-the-box strategies are the highlight of DataToBiz. 2. Accenture Accenture is one of the best business intelligence consulting firms with a global presence. The company believes in accelerating change to equip businesses with the necessary tools and processes to have an edge over competitors in the market. It works with clients from banking, aerospace, automotive, travel, retail, industrial, insurance, communications, etc. The company has an ecosystem with 249 partners. It has 9000+ clients from 120 countries around the world. The company has won many awards over the years for its contribution to the industry and is at 33 among the overall Fortune World’s Most Admired companies. Accenture provides services such as: The company offers customized services but is more popular for working with large and multinational enterprises. It has premium pricing beyond the budget for small and medium-sized businesses with limited finances. 3. Cordence Worldwide Cordence is among the biggest business intelligence companies, with more than 50 offices in 22 countries. The company has 17 years of experience in offering world-class expertise to help clients create solutions and synergies required for their success. It focuses on delivering tangible results that can be measured by businesses. The company helps businesses from different industries like energy & chemicals, automotive, consumer packaged goods, public services, life sciences, travel & mobility, managed services, etc. It is a mother firm consisting of independent companies that offer an array of solutions to businesses in their respective regions. Cordence Worldwide offers the following services: The company believes in accountability to clients and emphasizes the importance of cultural aspects in understanding and business and making it successful. It has an agile consulting model that delivers the promised results to each client. North Highland member firm offers services in the UK. 4. BearingPoint BearingPoint transforms businesses for a better future. It is one of the well-known business analytics companies with European roots and a global client base. It has three major business units- consulting, capital, and products to help enterprises from 70 countries around the world.

Yashica Chopra
February 22, 2023
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UK’s Best 6 Data Analytics Companies 2025: A Must-Know List

Data analytics allows a business to drive insights from large datasets and use them to make better and faster decisions. The best data consultancy service providers offer customized solutions to develop a data-driven model within the enterprise. Here’s the list of top data analytics companies in UK. Internet users produce more than 2.5 quintillion bytes of data every day. Statista predicts that global data creation will cross 180 zettabytes by 2025. The easy availability of data allows businesses to collect, store, and analyze it to derive insights. SMBs and large enterprises around the world are trying to utilize the data by investing in data-driven models. According to Allstate, 86% of the organizations that use data-driven models have experienced better results. More than 80% of businesses agree that data is crucial for effective decision-making. The UK caters to 9.6% of revenue generated by the Indian data analytical market through outsourcing services. Another report suggests that the UK and other European countries will show mid-level growth in the big data analytics market between 2020 and 2025. However, building a data-driven model in an enterprise requires expertise and access to the latest technology. Many businesses are turning to data analytics consultancies to help revamp their traditional processes and convert them into data-driven models. But what exactly is data analytics, and what are the top big data consultancies in the UK market? Let’s find out. What is Data Analytics? Data analytics is the process of analyzing large datasets to identify trends, determine patterns, and present the results in graphical formats to enable better decision-making. The core purpose of data analytics is to use data to derive meaningful and actionable insights. The insights are used to solve problems, understand market trends, and be proactive in making the most of business opportunities. Mathematics, statistics, and computer science are combined in data analytics. Business intelligence tools like Microsoft Power BI, Tableau, etc., are used to derive insights by processing large datasets. These tools also provide data visualizations by converting the insights into graphical representations. Data mining, data warehousing, data modeling, statistical analysis, etc., are a part of data analytics. Businesses need to hire a team of data analysts to work on the data-driven model and help the top management make decisions using real-time insights. However, developing the data-driven model involves other experts like data scientists, artificial intelligence engineers, and machine learning developers. Instead of hiring a team of experts, enterprises partner with data engineering consulting firms. The consultancy provides end-to-end services and takes responsibility for strategizing, planning, developing, implementing, customizing, and maintaining the client’s data-driven model. The UK market has several service providers offering big data consulting services to MSMEs, SMBs, and large enterprises. We compiled a list of the data analytics companies in the UK. Check out their profiles below. UK’s Best Data Analytics Companies 2025 1. DataToBiz DataToBiz is one of the trusted data analytics companies in the UK, offering end-to-end data engineering services to small, medium, and large-scale enterprises. The company works with clients at varying stages of data awareness and offers suitable solutions to unlock and leverage the power of data. It is a certified partner of Microsoft, Google, and AWS. Along with the UK, DataToBiz has a presence in different parts of the globe- the US, Australia, India, and the Middle East. They serve clients from several industries, ranging from EdTech to FinTech, logistics, supply chain, surveillance, retail, eCommerce, healthcare, hospitality, travel, media, entertainment, and many more. The company offers services such as: DataToBiz follows a tried and tested five-step process to help businesses achieve their goals. Aditya Birla Group, McDonald’s, ICICI Bank, GMR, TransSight, Mankind, etc., are some top clients of the company. They are also awarded numerous titles for providing accurate and advanced data engineering services in the global market. 2. Sigma Data Systems Sigma Data Systems believes in providing crucial data services to next-gen businesses. It offers data science consulting services to facilitate digital transformation through business intelligence, data analytics, and data visualization. The company has a large team of dedicated AI & ML engineers, data analysts, data scientists, software developers, etc., to offer offshore services to clients from different industries. Sigma’s mission is to help organizations draw and progress on their growth path by using the right tools and insights to make the right decisions at the right time. Sigma Data Systems offers the following services: The company works with businesses from different continents and has many clients from the UK. It also offers testing and DevOps services. 3. Unicsoft Unicsoft specializes in software development, artificial intelligence, and blockchain. It has a global team of big data consultants handling the digital transformation of various businesses from the UK, US, Europe, Australia, etc. The company works with small, medium, and large enterprises to set up data pipelines and enable the conversion of raw data to actionable insights. Unicsoft has experience in industries ranging from healthcare to Fintech, supply chain manufacturing, marketing, and automotive. It provides services for: Unicsoft works with brands like Infosoft, Whimsy Games, Cybescope, Sinofy, etc. It has ISO 9001:2015 and 27001:2013 certifications. The company is technically accredited by AWS for training and certification expertise. 4. SoluLab SoluLab offers data strategy consulting services and specializes in Metaverse, AI & ML, blockchain, IoT, and mobility solutions. It has partnered with Fortune 500 companies to provide customized solutions for digital transformation. The company has successfully worked on 1500+ projects for more than 500 clients. It has offices in four countries but works with business organizations from around the globe. The company has partner certifications from Microsoft (Silver), Roku, Vue.js, Google Developer, and Hyperledger. SoluLab offers services for: The company has won many awards over the years for being one of the top app developers in the market. DLCC blockchain solution, Versafit, Plotos, and Sportverse are some products offered by SoluLab. 5. Classic Informatics Classic Informatics offers data science consultancy in the UK and enables digital transformation through end-to-end product engineering and custom software development. It provides remote and on-demand teams to work with clients and revamp their internal systems and processes. The company works with startups, digital agencies, enterprises, and

Yashica Chopra
February 13, 2023
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AI Consulting Explained: A Comprehensive Guide for Businesses

AI adoption is increasing in the global market, but businesses still have a few doubts about it. Here, we’ll discuss the need to partner with AI consulting companies and how they can help an enterprise achieve its goals. There have been many technological developments during the last few years in the international market. Businesses are shifting from traditional to modern data-driven models and using cloud services for IT infrastructure. Artificial intelligence has become a common keyword in digitally and technologically transforming business processes. The global AI market is likely to grow at a CAGR (Compound Annual Growth Rate) of 39.7% and touch $309.6 billion by 2026. ‘Many large enterprises are rapidly transforming their systems to adopt AI tools to increase productivity and profits. Small and medium enterprises are a little behind due to cost issues. Many large companies as well as startups are investing in AI and ML models and increasing their budgets to digitally transform their systems. However, startups are realizing the importance of investing in artificial intelligence applications. Several organizations are increasing their budgets to spend more money on AI and ML models. That said, there are a few barriers to AI adoption slowing that slows down the adoption rate. The main barriers to AI adoption are the lack of access to expertise and the cost of developing an AI application from scratch and that’s where AI consulting companies come to play. These roadblocks can be easily overcome by partnering with AI consulting companies. These companies have the necessary talent and tools to provide AI-based services for cost-effective prices. According to MarketWatch’s latest study, the AI consulting services market will earn a multi-million dollar revenue and grow exponentially in the next seven years. Today, many big as well as small. More and more organizations are relying on artificial intelligence consultants for digital transformation services. In this guide to AI consulting, we’ll read more about the types of services offered, how to choose the best AI consultants for your business, and the five best AI consulting solution providers in the market. What is AI Consulting? Artificial intelligence consulting is where AI engineers and experts assist business organizations from various industries to adopt AI applications to achieve their goals. This is easier said than done as it involves a series of activities and is a long-term process. AI consulting companies have several roles and responsibilities, such as: AI Consulting Process Let’s look at the steps that AI consulting companies follow to help businesses leverage artificial intelligence technology in the right manner. 1. Strategy Formation The first step is to create a strategy or plan of action to adopt AI within an enterprise. Here, the AI consultants will have in-depth meetings with the clients to identify areas best suited for AI integration. These are then prioritized to list the required tools for the adoption process. The focus is on strategizing the right path to create the necessary IT infrastructure and data pipelines to integrate AI tools with existing legacy systems. The availability of resources, cost of investment, duration of the project, etc., are considered when planning the strategy. 2. Evaluating Processes and Possible Outcomes Many AI projects fail to take off or end up incomplete due to a lack of evaluation. Whether a business wants to build an AI application from scratch or customize an existing one, the AI consultants will first determine the feasibility of the process and evaluate the possible outcome. These AI experts will assist organizations in choosing projects with commercial viability and success. This reduces the risk of failure and loss of investment. 3. Implementation and Deployment Now, the major responsibility lies with the AI consulting company to implement and deploy the project (building, integrating, customizing, etc.) as per the approved plan. For example, if a business wants to deploy chatbots to assist customer care executives, the AI consulting team will create the necessary framework to set up AI chatbots and automate their roles at the helpdesk. 4. Training and Maintenance Some AI consulting companies also offer training services. After all, the end user/ employees must know how to work with the application. Training sessions are conducted to educate employees about the various features of the new AI application and ways to deal with errors. Alongside this, the consulting company can continue to provide maintenance services if the organization wants. This ensures that AI experts regularly check the systems for errors and upgrade the features to make sure it offers the latest and expected services. 5. Governance and Compliance The AI consulting company is also responsible to ensure that the artificial intelligence systems developed/ customized for the organization are compliant and meet global guidelines. Ensuring data security and developing data governance systems or protocols are a part of the process. The AI consultants may have to add multiple security layers in enterprises that work with highly confidential data. Types of Artificial Intelligence Consulting Firms AI consulting firms are broadly divided into the following types: 1. Tech Consulting These consulting companies are focused on offering tech (IT) based services. They have expert teams to provide off-shore, nearshore, and IT staff augmentation services. 2. Executive Consulting This is also known as top management consulting. These AI strategy consulting companies help businesses understand how and when to implement AI in the enterprise. Large consulting companies also acquire smaller firms and deal with cross-industry adoption of artificial intelligence. 3. Cloud Consulting These AI consulting companies offer cloud-based services. Amazon, Microsoft, and Google are examples of this type of AI consulting. They deal with cloud storage, network management, and cloud computing applications or services. 4. The Top Four Deloitte, EY, PwC, and KPMG are the big four AI consulting companies that have been in the industry for more than 50 years. They offer services to clients from around the world and have premium prices. This makes them cost-intensive for small and medium-sized businesses. 5. End-to-End Consulting Companies like DataToBiz offer end-to-end AI consulting solutions, where they take care of all AI-based processes, from strategy formation to maintenance. The consulting companies may

Yashica Chopra
February 09, 2023
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10 Top Power BI Consulting Providers in UK for 2025 (Updated)

Power BI is a 360-degree data analytics and data visualization package by Microsoft. It is one of the most used tools in the global market. Here, we’ll discuss the role of Power BI and the leading consulting firms offering Power BI services in the UK. Business intelligence combines processes, applications, and software to collect large amounts of data and derive meaningful insights from it. BI can be limited to a single department or used across the enterprise in different verticals. It has evolved rapidly over the last few years and has become one of the differentiating factors that give a business an advantage over others in the market. According to Statista, the projected revenue for the BI software market in the UK is expected to reach $1.57 billion by the end of 2025 and is projected to reach $2.01 billion by 2029 at a CAGR (compound annual growth rate) of 6.39%. Research shows that 52% of software companies use BI, and 54% of enterprises agree that cloud-based BI tools are vital for their business growth. Business intelligence is implemented using various tools like Microsoft Power BI, Qlik, Tableau, etc. Microsoft happens to be one of the major players in the UK business intelligence market. The UK government has signed an MoU with Microsoft, which allows all public sector companies and organizations in the country to be eligible for discounts when they use Azure, Power BI, Microsoft 365, Dynamics 365, etc. This three-year agreement is called Digital Transformation Arrangement 2021 (DTA21), which aims to revamp government and public sector organizations by adopting cloud solutions and applications to enable digital transformation. Microsoft Power BI will be widely used for data analysis, insights, and data visualizations. However, adopting Power BI can be overwhelming without access to expert services. Power BI is an extensive package that can be customized and integrated with existing business systems to streamline data flow and access real-time insights through the dashboard. The increasing popularity of Power BI led to an increase in demand for Power BI consultants in the UK. Several data analytics and BI consulting firms offer offshore services to help enterprises implement and use Power BI for everyday work. In this blog, we’ll understand what this Microsoft package offers and look at the top Power BI consulting providers in the UK. What Is Microsoft Power BI? Microsoft Power BI is a unified package of applications and services that deliver business intelligence insights for small, medium, and large enterprises. The insights are presented as graphical data visualizations through the interactive dashboard. The dashboard is customized for each department and job level in the enterprise. Power BI is a scalable platform that caters to self-service and enterprise requirements. Microsoft calls it a complete solution to bridge the gap between data and decision-making. Real-time reports are used by employees and top-level executives to make better, faster, and more effective decisions. From end-to-end data protection to the cloud and 500+ data connector integrations, Power BI optimizes business intelligence for an enterprise. What Does a Power BI Consultant Do? Microsoft Power BI has to be integrated with the existing systems in a business along with the data center and third-party applications to create a proper data flow. This requires domain expertise offered by Power BI consultants and service providers. But what exactly do they do? A Power BI consultant will understand your business process and determine the best way to customize Power BI to suit your requirements. They will handle the tasks necessary to arrange datasets for analytics and present insights in a graphical format. Top Power BI Consulting Providers in the UK 1. DataToBiz DataToBiz is a reputed and reliable Power BI consulting partner for startups and small, medium, and large enterprises. The company has clients from regions like the UK, USA, Australia, India, South Africa, and the Middle East. DataToBiz is a Gold Microsoft Partner and Power BI showcase partner. It offers end-to-end solutions to adopt data-driven models in a business and integrate the necessary applications to derive real-time actionable insights. The company’s Power BI consulting services include integration, implementation, development, and customization. It provides a full-scale report so that businesses can make the most of multi-dimensional perspectives and be proactive in making decisions. DataToBiz also offers an array of other services that help organizations optimize investment and increase productivity. The service provider creates unique dashboards for enterprises from different sectors such as the government, oil & gas, banking & finance, eCommerce, revenue, sales & purchases, supermarket/retail, manufacturing, etc. DataToBiz has won several awards and has an 80% record of getting repeat clients and referrals. 2. PTR Consultancy PTR Consultancy offers various data and business intelligence services in the UK. It is a family business that considers its clients as a part of the extended family. The company provides tailor-made solutions based on the mission, niche, and long-term goals of each client. It is a Microsoft Gold Data Platform and Data Analytics Partner with access to advanced Microsoft tools used to adopt the data-driven model in an organization. PTR Consultancy uses proofs-of-concept to set up and implement Power BI for its clients. From forming the data strategy to running a scalable Power BI platform, it takes care of all services from start to finish. The company offers consultancy services for the following: The consultants will help you finalize the right Power BI architecture based on the business needs and set up custom dashboards to provide actionable insights to employees across the enterprise. The company enables businesses to use data analytics for effective decision-making. 3. Jarmany Jarmany is a UK-based company offering data analytics services to help businesses drive growth and achieve their goals. The company combines science and art to create powerful data visualizations that help in real-time decision-making. It specializes in data-based services and has helped several clients reduce their cloud storage costs by up to 97%. The company’s Power BI consultants implement the tool in an enterprise and continuously provide business intelligence reports. Jarmany guarantees that businesses don’t have to spend hours of

Pawan Chabra
February 06, 2023
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8 Advantages of Outsourcing Data Analytics: Get More from Your Data

Data analytics is increasingly becoming an integral part of any business. Irrespective of the industry or the scale of business, it is important to have a strong foundation in data analytics. With the rising amount of data being generated from various sources, its effective use is critical for success. Businesses often find it challenging or overwhelming to put in place the mechanisms for effective data management. It can be due to the current priorities, lack of technical expertise, or due to lack of time. The fact remains that the business is unable to harness the capabilities of data. Some companies opt to outsource data analytics to ensure that the focus remains on core activities and the organization is still able to move ahead with the times. The global data analytics outsourcing market stood at $3 billion in 2021. It is expected that the market will grow at a CAGR of 21.50% over 2022-2030, reaching a valuation of $70.68 billion by the end of 2030. Outsourcing data analytics can bring a variety of advantages to a business. Apart from being able to access the latest solutions, there are several other benefits of outsourcing big data analytics to a professional partner. What is Data Analytics? Data analytics is the science with which a business can utilize raw data to derive meaningful insights and conclusions to support business growth. Data analysis can help a business increase productivity and performance in a variety of areas like marketing, logistics, finance, sales, customer service, etc. Data analytics help a business gather data from various sources and uncover patterns that can help generate useful insights. With the right frameworks and structure, data analytics can emerge as a strong competitive advantage for any business. Why Should You Outsource Data Analytics? We are living in the era of outsourcing. Businesses are outsourcing all types of IT and business functions, including strategic processes. The reason for outsourcing data analytics can be different for each business. However, at the core, it is important to understand that data is already playing an important role in business operations and its prominence is only expected to grow further. As a result, all businesses need to consider data analytics as an important aspect. With the evolving technology, businesses utilize software systems with modern technologies like artificial intelligence, machine learning and automation capabilities. Establishing these systems from scratch in an organization can be time-consuming, expensive and challenging. However, with data science outsourcing, any business can make the most of the evolving technological trends and stay ahead of the competition. Key Advantages of Data Analytics Outsourcing Outsourcing data analytics has the potential to accelerate the growth of any business. Here are the key advantages: 1. Professional Assistance By deciding to outsource data analytics, a business has a chance to access skill sets that may otherwise be in short supply in the market. It is a known fact that talent is in short supply in the IT industry. As a result, a business is better placed to have access to professionals who have deep expertise in areas like cloud computing, advanced analytics, big data, data science and data lakes. A business can close the gap in the skillset landscape by outsourcing data analytics. With the explosion in the volume of data across structured and unstructured sources, a business can’t meet its increasing requirements using a traditional data center setup. Businesses need modern cloud platforms so that they can build data lakes and manage data loads. However, it becomes challenging to operationalize these changes with an in-house IT team that offers limited talent and skill set. Outsourcing the data analytics function can expand the net of skill sets available for business growth. 2. Industry Expertise While some analytics functions are universal, some industry-specific functions can prove to be critical in effective data management. For instance, sectors like healthcare and financial services can have specific analytics functions that are required to build capabilities in the area of data analytics. Therefore, getting an industry partner that has deep expertise in that particular sector can help accelerate the data transformation journey for a business. For instance, a partner that has the capabilities to deliver high-quality data analytics service in the retail industry will be able to build analysis points like customer lifetime value analysis, market basket analysis, store sales analysis and profitability analysis. In other words, the partner will be able to bring to the table techniques that are very specific to the retail industry. At the same time, by opting to outsource data analysis, a business can benchmark its growth against its peers or the industry in general. Over time, this can emerge as a solid competitive advantage for any business. 3. Easily Scalable Apart from the fact that outsourcing services can help a business achieve data analytics skills quickly, it is equally helpful in creating a scalable ecosystem that may otherwise not be easy or possible to create with in-house capabilities. Effective data analytics requires a level of scalability and complexity that may not be possible to achieve in-house. As a professional data analytics partner will have analytical assets like frameworks and accelerators, it is possible to scale the data analytics processes quickly. With a third-party handling data analytics function for a business, it is also easier to follow a quick path to analytics maturity in a business. 4. Ensuring Compliance With the increasing amount of data, it is becoming increasingly important for businesses to comply with various regulations regarding data capturing, processing, storage and usage. With a professional data analytics partner on your side, the business is better equipped to understand and handle compliance requirements. Businesses need to create easily audited data which can be achieved much more easily with an external outsourcing partner. For instance, with the General Data Protection Regulation (GDPR) and other similar versions in other markets, a business must be on the right side of the law to ensure seamless functioning. 5. Greater Use of Data It is often said that data is the