DataToBiz

Yashica Chopra
April 21, 2025
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Decoding Large Language Models in Customer Support

LLMs are advanced AI models that use various technologies to provide human-like responses to a given input. Here, we’ll discuss the role of large language models in customer support, the benefits they offer, and how to integrate them with existing CRMs. Artificial intelligence has become an integral part of customer support in most industries. It helps automate repetitive tasks and provides quick responses to customers. The introduction of large language models (LLMs) and generative AI has further fueled the development of customer support. Many businesses have either invested in LLMs or plan to adopt LLMs for customer care services. According to Precedence Research, the global large language market is estimated to be $7.77 billion in 2025 and is projected to reach $123.09 billion by 2034 at a CAGR (compound annual growth rate) of 35.92%. While North America had a dominant market share of 33% in 2024, the report shows that the Asia Pacific region is going to be the fastest-growing market in the coming years. As per Deloitte’s reports, almost 80% of businesses think generative AI will drive transformation in their industries in the next three years. Another report by Zendesk Benchmark data shows that 72% of CX leaders believe AI agents should work as an extension of the brand’s identity. Moreover, 8 in 10 consumers think AI bots are useful to resolve simpler and smaller issues. In this blog, we’ll find out more about large language models in customer support, such as their role, benefits, challenges, and how LLM companies can integrate the models into customer support systems! How do AI-driven Support Systems Enhance Customer Satisfaction? AI chatbots are software tools built on powerful artificial intelligence and NLP (natural language processing) algorithms to communicate and interact with diverse users. Technologies like machine learning, data analytics, big data, etc., are used to understand customer information and behavior patterns to provide relevant and useful responses to queries and complaints. AI-driven support systems can enhance customer satisfaction in many ways. For example, AI chatbots are easily accessible 24*7*365. Unlike human agents, AI support systems don’t get tired or take breaks. These can assist representatives in handling excess workload by communicating with several end users simultaneously. The systems can be integrated with CRM software and data analytics tools to analyze the data in real-time and provide actionable insights to the representatives. Moreover, any business can use AI chatbots to streamline its customer support processes. AI product development services offer tailored solutions to build, deploy, customize, and implement the systems that align with each organization’s requirements. Additionally, the apps can be built and hosted on-premises or on remote cloud servers. Several enterprises prefer cloud-based AI chatbots as they are more effective, scalable, and flexible. They can be connected across multiple channels and accessed through a unified interface. The data is stored in a central repository and can be accessed in real time. What Industries benefit the most from AI in Customer Support? Almost every industry benefits from using AI in customer support. Most businesses have to interact with customers in some form, be it a retail or eCommerce marketplace, a healthcare center, a travel agency, an IT business, or a utility service provider. Furthermore, effectively analyzing customer data is crucial to ensure the business stays relevant in competitive markets and understands what the target audiences require. By empowering customer service with AI, an organization can streamline data flow, automate workflow, and reduce the load on human representatives. What are the cost benefits of using AI Chatbots for Customer Service? This is an important question, as many businesses hesitate to adopt AI and LLM technologies due to the costs involved in the project. While the initial investment may be expensive, organizations can gain many cost benefits and enjoy higher ROI in the long run. A few benefits of using chatbots for support are as follows: The advancement in technology and the development of large language models (LLMs) have revolutionized customer support in many more ways. LLMs can be used to build advanced AI agents that can empathize with customers and provide more human-like responses to their queries. These are powerful and can perform complex tasks with relative ease. Can Large Language Models Reduce Response Time in Customer Support? Absolutely! Large Language Models can reduce response time in customer support through automation. That’s because they reply instantly to a user’s message and try to provide a resolution. LLMs work in real-time to understand the input data and share a relevant output. Generative AI applications built on large language models are some of the best chatbots and AI agents used by businesses. A greater share of customer queries can be resolved without human interference. This makes it possible for a business to be active and efficient even on non-working days or holidays. Customers who raise a concern on a weekend don’t have to wait for a representative to check their emails on a Monday morning. They can find a solution through LLM chatbots. Not only do LLMs reduce response time, but they also provide contextually relevant and accurate answers using deep learning technology. This makes them a worthy option to revamp the customer support departments. How Can Large Language Models Improve Customer Support Efficiency? The quality of customer service offered by a business can determine its success and brand image in competitive markets. Customers of today don’t want to wait for long hours for a representative to reply to their message. They want instant results and personalized solutions. They want businesses to be customer-centric and show that they matter. In such instances, LLMs and GenAI apps are highly helpful in revamping the customer support department and improving its overall efficiency and performance. It is recommended to hire generative AI services from reliable AI product development companies to align the business mission with customer expectations. Here’s how LLMs can improve customer support efficiency: Seamless Collaboration Between AI and Humans LLMs are used to build generative AI chatbots that support humans in various ways. For example, the customer

Kavika Roy
April 15, 2025
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Malaysia’s Tech Scaling Hack – Indian Staff Augmentation

Got big tech ambitions in Malaysia but a small local talent pool? We’ve got the inside scoop. Indian staff augmentation is your source for scaling smarter and faster. Read about Malaysia’s latest tech scaling hack – Indian IT Staff Augmentation. Malaysia’s digital economy is booming, driven by the MyDIGITAL blueprint, increased cloud adoption, and a push toward data-driven decisions. However, while the demand for analytics and cloud infrastructure is at an all-time high, finding skilled professionals locally is becoming a real roadblock—especially in high-demand areas like Power BI, Azure, AWS, Data Engineering, and Tableau. More Malaysian businesses—from KL to Penang to Johor—are investing in certified Indian talent to keep workflow moving, costs under control, and delivery deadlines on track. What Is Staff Augmentation? Staff augmentation is basically a flexible hiring model that lets you extend your in-house team with remote professionals without the complexities of outsourcing. Your company or in-house stakeholder maintains full control over project workflows while the extended team integrates seamlessly with your operations. This model is gaining traction across Malaysian industries, especially among mid-sized and enterprise-level businesses in Kuala Lumpur, Johor Bahru, Penang, and even emerging digital hubs like Cyberjaya. As demand grows for specialized skills in Power BI, Snowflake, Azure Synapse, Tableau, and AWS, the local talent pool is struggling to keep pace. Staff augmentation helps bridge this gap—providing quick access to certified professionals without the overhead of permanent hires. Why are Malaysian Companies Choosing Staff Augmentation? The model fits well with what modern Malaysian businesses need: speed, agility, and specialist skills without long-term commitments. The Real Challenges of Local Tech Hiring Hiring top-tier analytics or cloud talent in Malaysia isn’t easy. Even well-funded teams often struggle with a limited local talent pool for advanced tools like Power BI, Snowflake, Synapse, or Tableau Server. Recruitment cycles are long due to high competition, and skilled candidates often come with high salary expectations and low retention. These challenges lead to project delays and risky short-term hires with limited accountability. That’s why more Malaysian companies are turning to Indian IT staffing companies to engage in one or the other IT staff augmentation service model, an efficient way to fill critical roles quickly without compromising on talent quality. Why India Is the Preferred IT Talent Hub? India’s IT ecosystem is globally renowned, not just for its size but for its deep expertise, English fluency, and long history of collaboration with Southeast Asian markets. Malaysian companies find Indian talent to be not only skilled but also culturally compatible and timezone-friendly. Here’s What Sets Indian Professionals Apart: Roles You Can Augment Instantly These are the most commonly requested profiles Malaysian businesses are augmenting from India: Getting Started Is Simple You don’t need to overhaul your HR process. We’ve simplified the onboarding experience into four quick steps: Real-World Scenario – Case Study A Malaysian retail company operating over 70 stores needed help automating reporting and integrating POS data. Within one week, they onboarded a Power BI expert and Azure cloud engineer from India through DataToBiz. Results within 5 weeks: Conclusion With access to a vast pool of certified developers and engineers, Indian staff augmentation offers Malaysian businesses the flexibility to scale faster, reduce hiring costs, and deliver projects on time. It’s not just a workaround, it’s becoming a strategic advantage for teams looking to stay competitive in a rapidly evolving digital landscape. Frequently Asked Questions (FAQs) Is IT staff augmentation different than outsourcing in Malaysia? Yes. With staff augmentation, you retain complete control over your projects, priorities, and workflows. Unlike traditional outsourcing, where an external team handles delivery, our developers work as part of your internal team. You set the direction, and they follow your tools, processes, and communication methods, ensuring better alignment and transparency. How flexible are your contracts from India? Very. You can start with a short-term 3-month contract and scale up or down based on your needs. Whether it’s a one-off project or ongoing support, our contracts are built to adapt to your evolving business requirements. There’s no long-term lock-in, and we make it easy to extend or end the engagement whenever necessary. What if I’m not satisfied with a developer? We understand the importance of team fit. If things don’t work out for any reason, we offer no-risk, hassle-free replacements within 2–3 business days. Our talent pool is deep, so we can quickly match you with another expert who meets your expectations in terms of skills and communication style. Can your team work with our current tools? Absolutely. Our developers are used to integrating into existing setups. Whether you’re using Microsoft Teams, Slack, Jira, Trello, ClickUp, or any other project management or collaboration tool, we’ll adapt to your workflows to ensure minimal disruption and a smooth handoff. What’s the difference between freelancers and your developers? Unlike freelancers, all our resources are full-time, in-house professionals backed by DataToBiz. That means higher accountability, consistent delivery, and long-term reliability. Fact checked by –Akansha Rani ~ Content Creator & Copy Writer

Kavika Roy
April 14, 2025
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Dutch IT Growth – The Impact of Indian Staff Augmentation

As the Netherlands embraces digital transformation, hiring top-tier tech professionals has become increasingly challenging. Indian IT staffing companies are helping Dutch businesses fill this gap by offering high-quality, cost-effective, and scalable teams via IT staff augmentation. According to a report by Statista, job vacancies in the Netherlands’ ICT sector have steadily increased, reaching over 30,000 by the end of 2023. With such a competitive market, Dutch companies are now exploring Indian staff augmentation services to meet their growing tech needs efficiently and affordably. The Digital Surge in the Netherlands As digital transformation accelerates across the Netherlands, the demand for experts in Power BI, Azure, AWS, Data Engineering, and Tableau has reached an all-time high. Whether building robust data infrastructures or developing custom BI dashboards, Dutch companies need reliable and scalable tech resources. But hiring full-time professionals locally can be costly and time-consuming. That’s where staff augmentation from India offers an effective, flexible solution — allowing companies in the Netherlands to hire certified Indian developers and consultants who integrate seamlessly into their teams. What is IT Staff Augmentation? It’s a hiring strategy that allows businesses to extend their existing tech teams by integrating external professionals on a short-term or long-term basis. Unlike traditional outsourcing, staff augmentation gives you complete control over the project while gaining access to global talent. Key Benefits Why are Dutch companies Hiring Indian Developers? India is home to one of the world’s largest pools of IT professionals, many of whom are certified, English-speaking, and experienced in working with European clients. Certified & Experienced Talent You get access to experts across: Cost Advantage Indian developers bring high value at significantly lower costs compared to Dutch or EU-based developers, without sacrificing quality or delivery timelines. Timezone Compatibility With just a few hours of time difference, Indian teams work seamlessly with teams in Amsterdam, Rotterdam, Utrecht, and other parts of the Netherlands. Language Proficiency Strong communication is key — Indian developers are fluent in English and experienced in client-facing roles, ensuring smooth collaboration and reporting. Range of Expertise When Dutch companies choose Indian staff augmentation partners, they get access to certified professionals across key data and cloud technologies—without the long hiring cycles or overhead costs. Here’s how this plays out across different roles: The Staff Augmentation Process for Netherlands-Based Clients Our staff augmentation process is quick, simple, and tailored to your project needs: Here’s a staff augmentation example to bring this to life: One of our clients in the Netherlands needed to integrate SAP and Salesforce data into a central Power BI dashboard to track production KPIs and customer service SLAs. Within 72 hours, they onboarded a certified Power BI consultant and an Azure Data Engineer from India. In just 6 weeks, they had: The result? They saved nearly 45% in operational costs compared to hiring locally. Conclusion As the Netherlands pushes forward with digital transformation, Indian IT staffing companies offer Dutch businesses a strategic edge. With the right staff augmentation process, you get certified talent, cost efficiency, and fast turnarounds — all without compromising on quality. Whether you’re a startup in Utrecht or an enterprise in Amsterdam, staff augmentation from India can be your secret to scaling smarter, not harder. Frequently Asked Questions (FAQs) Is hiring Indian developers compliant with EU data privacy laws? Yes. Our team ensures full compliance with GDPR and local data protection policies using secure VPNs, access control, and detailed audit logs. How quickly can I onboard a resource from India? Typically, onboarding happens within 2–5 business days once your requirements are finalized. Do I need to sign long-term contracts? No. Our contracts are flexible — you can start with as little as a 3-month commitment and extend as needed. How does communication work with remote teams? Our developers are fluent in English, available during overlapping working hours with the Netherlands, and work on your tools (Slack, Jira, Teams, etc.). What’s the difference between freelancers and your developers? Unlike freelancers, all our resources are full-time, in-house professionals backed by DataToBiz. That means higher accountability, consistent delivery, and long-term reliability. Fact checked by –Akansha Rani ~ Content Creator & Copy Writer

Kavika Roy
April 09, 2025
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The India–Singapore Connection in IT Staff Augmentation

As Singapore’s demand for tech talent grows, more businesses are turning to India for skilled professionals in Power BI, cloud platforms, and data engineering. This blog explores why the India–Singapore staff augmentation dependency is growing—and how your business can benefit from it. According to a report by Manpower Group, 79% of employers in Singapore reported difficulty in filling roles for IT and data-related roles due to a tight talent market. With increasing digital transformation needs and IT dependencies, the gap between available local talent and project demands is widening. That’s where the India–Singapore connection in staff augmentation is proving invaluable. Why does IT Staff Augmentation Work for Singapore Businesses? Singapore has established itself as a leading innovation hub in Asia. However, with growing requirements in Power BI, Azure, AWS, and Data Engineering, scaling internal teams quickly and affordably is a challenge. Instead of prolonging hiring cycles or stretching budgets, many companies are opting for staff augmentation from India. This approach allows organizations to access top-tier, remote talent without committing to full-time hires—offering flexibility, speed, and expertise. The advantages are quite clear. Hiring full-time tech professionals in Singapore, especially for specialized roles can be time-consuming, costly, and highly competitive. The staff augmentation process solves this by offering certified, project-ready talent who integrate seamlessly with your team—without long-term obligations. It’s a faster, smarter alternative to conventional hiring. Why is India Singapore’s Go-To Talent Partner? India has long been a preferred destination for high-quality tech professionals. With a vast pool of skilled engineers, IT staffing companies in India are helping Singapore businesses scale with confidence. Here’s why this partnership works so well: Deep Technology Expertise India’s tech professionals bring hands-on experience across platforms: This makes it easier than ever to hire Power BI developers in Singapore or onboard an Azure developer remotely in Singapore. Time Zone Compatibility With just a 2.5-hour time difference between India and Singapore, real-time collaboration is simple. Daily stand-ups, sprint planning, and project sync-ups run without disruption. Clear, Effective Communication Engineers are fluent in English and are trained to work with international clients, ensuring proactive and business-aligned communication. Cost Advantage Working with Indian talent means 30–40% cost savings without compromising quality. You get access to top-tier experts at significantly lower costs than local hiring. This has led to a rise in Indian IT team extension Singapore models, especially in cloud and data-heavy projects. Where Are Singapore Firms Benefiting the Most? We’ve seen several key areas where businesses choose to augment their teams with Indian data engineers for Singapore projects and cloud consultants. Business Intelligence & Reporting From C-suite dashboards to automated financial reporting using Power BI and Tableau, BI expertise from India is helping Singapore companies make faster, data-driven decisions. Cloud Migration & Optimization AWS cloud consultants Singapore and Azure-certified engineers from India support cloud modernization projects, building secure, scalable infrastructure. Data Engineering & Integration India’s data engineers are enabling smoother data lakes, ETL processes, and real-time integrations—helping Singapore teams focus on outcomes, not just implementation. Security & Governance Data protection and compliance are key. Indian experts ensure every solution meets modern security standards and governance practices. These are classic staff augmentation examples where Singapore businesses gain agility and depth—without inflating costs or internal hiring pressure. Process & Real-world Example Indian Staff augmentation service providers usually operate on a simple 3-step augmentation process: Here’s a staff augmentation example to bring this to life: A fintech firm in Singapore needed to develop an Azure-based data warehouse and a customer analytics dashboard. Using our staff augmentation Singapore model, they onboarded a Power BI developer and an Azure developer remote Singapore team from India in under a week. The entire solution was delivered in just six weeks—deployed on time, under budget, and backed by post-launch support. Why Partner with DataToBiz? At DataToBiz, one of the leading staff augmentation service providers in India, we specialize in supporting Singaporean businesses with reliable, certified, and business-aligned Indian professionals. We make the India–Singapore tech partnership simple, cost-effective, and results-driven. Conclusion Singapore businesses can no longer afford to wait weeks or months to fill critical tech roles. With the rising cost of local hiring, the flexibility of staff augmentation services offers a compelling alternative. Whether you’re looking to hire Power BI developer India to Singapore, engage Indian data engineers, or onboard AWS cloud consultants, the India–Singapore connection delivers value. Frequently Asked Questions (FAQs) Why are Singapore businesses outsourcing tech talent to India? Singapore businesses often outsource tech talent to India to access a larger pool of skilled professionals, reduce labor costs, and accelerate project timelines. India offers a vast and competitive tech market with expertise in various emerging technologies. What roles can Indian tech talent fill for Singapore companies? Indian tech talent can fill a wide range of roles, including software developers (full-stack, front-end, back-end, mobile), data scientists, AI/ML engineers, cybersecurity experts, cloud computing specialists, DevOps engineers, QA testers, and IT support professionals. How does staff augmentation benefit Singapore businesses? Staff augmentation allows Singapore businesses to quickly scale their teams with specialized skills without the long-term commitments of permanent hires. It provides flexibility to adjust team size based on project needs, reduces recruitment overhead, and offers access to a global talent pool. Is it reliable to hire offshore teams from India? Hiring offshore teams from India can be reliable, provided businesses partner with reputable outsourcing companies or establish robust communication and management processes. Many Indian tech professionals possess strong technical skills and a good command of English. How fast can a Singapore firm onboard Indian tech experts? The onboarding speed can vary depending on the complexity of the role and the processes of the outsourcing partner. However, with efficient recruitment and onboarding procedures, a Singapore firm can typically onboard Indian tech experts within a few weeks. Fact checked by –Akansha Rani ~ Content Creator & Copy Writer

Yashica Chopra
April 08, 2025
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IT Staffing from India: A Smart Move for Filipino Enterprises

IT staff augmentation is a cost-effective solution to bring external talent to the business without hiring candidates permanently. Here, we’ll discuss why it is a smart move for Filipino enterprises to hire IT staffing services from Indian service providers. The Philippines is a small Southeast Asian country known for providing IT outsourcing and staffing services to businesses around the globe. According to Statista, the Philippine IT market is expected to generate revenue of $2.50 billion by the end of 2025. However, this led to an imbalance in the demand and supply of talented professionals for local businesses. Filipino companies find it hard to expand their teams since most experts work for other countries. The cost of hiring local talent is high and can result in greater overheads and expenses. A growing business could suffer due to these roadblocks. Moreover, businesses in the Philippines are embracing advanced technologies like AI, cloud solutions, data engineering, business intelligence, etc., to unlock their full potential through data-driven insights. With local talent limitations, building a team of AI or BI experts can be stressful. A feasible alternative is IT staff augmentation, where Filipino businesses can expand their teams by adding remote experts from other countries. That’s where Indian IT staff augmentation companies come into the picture. India is a perfect choice to hire IT augmented teams for businesses in the Philippines. Let’s find out more in this blog! IT Staff Augmentation – Definition and Purpose Staff augmentation is the process of expanding an in-house team by adding talented external professionals to work on your project for a designated duration. Unlike outsourcing, you retain control over the team in staff augmentation. Moreover, the external professionals become a temporary part of your employee list for the period. They can work on-premises or offshore (remotely). This depends on your requirements and budget. IT staff augmentation is where you hire domain-specific IT professionals as a process of team extension. Instead of delegating the work and waiting for the results, you play an active role in guiding the team from start to finish. Filipino businesses can partner with reliable companies to benefit from Indian IT staff augmentation for the Southeast Asia region. While many countries offer IT staffing services, India would be the best destination for the Philippines’ businesses. Why are the Philippine Companies Hiring Indian Augmented Teams? Philippine companies from diverse industries are hiring IT staffing teams from India. Both countries happen to have a vast talent base in the IT industry and supply experienced professionals to startups, SMBs, and multinational enterprises from around the globe. It makes complete sense that Filipino businesses turn to their Indian counterparts to handle IT talent shortages for local businesses. Here are three major reasons why India is the go-to choice for IT staff augmentation. Quick Hiring Process There’s no need to spend months of your time screening and interviewing candidates for the project. Indian IT staff augmentation providers take no more than a week or two to provide the right talent for your requirements. The process is quick and hassle-free, with just a couple of steps. Moreover, you continue to have control over the selection process and can replace the team members if necessary. Lower Cost Local hiring challenges and inflated salaries are huge concerns for businesses in the Philippines. How can a startup or a small business pay exorbitant salaries like an offshore client? It’s hard to find an experienced professional in such instances. Fortunately, IT staffing solutions by Indian companies solve the problem. They keep the hiring cost and salaries at a competitive level, thus giving growing businesses a chance to boost their market presence. Guaranteed Expertise With Indian IT staff augmentation services for AI, Power BI, Azure, AWS, etc., Filipino businesses can be assured of the experience and expertise of the talent they add to their in-house teams. This is because IT staffing companies pre-vet the experts and assign them to clients based on the project requirements. You can reduce the risk of uncertainties by working with talented professionals. Moreover, if you aren’t happy with the initial progress, you can ask for replacements or scale the team accordingly. Why India is the Right Partner for Filipino Businesses? You might wonder why India should be your partner for staff augmentation in the Philippines. What makes India a better offshore IT staffing provider when many countries offer similar services? Here is the answer: Certified In-House Professionals India has been an IT powerhouse, supplying talent globally for years. From call center outsourcing to AI and LLM developers, the country has a vast and diverse talent pool to choose from. Many Indian IT professionals work for international companies, offering their experience and skills for cost-effective rates. Additionally, India is the go-to place if you want to hire experts for Power BI dashboard development and DAX, cloud computing (migration, SaaS, PaaS, IaaS, etc.), data engineering, data warehousing, data analytics, data science, and so on. It is easy to find a Tableau consultant in India for the Philippines’ businesses. You can opt for freelancers or partner with a staff augmentation company. Time Zone Compatibility India and the Philippines are relatively closer and belong to the same Asian continent. The time zone difference between both countries is just 2.5 hours. This simplifies scheduling, planning, collaborating, and communication. Real-time meetings and follow-ups can be organized in a quick time. There’s no need to wait for several hours or work irregular timings to interact with remote workers. Cultural Alignment Similar to time-zone compatibility, Indians and Filipinos have relatable cultures. The South Asian and Southeast Asian cultures have overlapping elements. This makes it easier for employees to connect and work together. In fact, quite a few words in Tagalog were borrowed from Sanskrit. These common factors create a sense of ease and help build friendships between team members. This creates a positive work environment and increases productivity. Better Communication Indian IT professionals have a good grasp of English though it is a second or third language in many

Yashica Chopra
April 01, 2025
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Top 11 Power BI Companies Transforming Real Estate Analytics

Microsoft Power BI is an efficient tool to collect and analyze data and convert it into meaningful insights. Here, we’ll discuss the top eleven Power BI companies in real estate and the role of business intelligence in implementing the data-driven decision-making model. The real estate industry is volatile and constantly changing. Several factors like demographics, politics, income, inflation, etc., influence the industry. While real estate agents have been using personal experience and instinct to predict market trends and recommend properties, many firms are now investing in advanced technology like AI, ML, business intelligence, and data analytics to analyze historical and current data and make data-driven decisions. For example, statistics show that AI in the real estate market is expected to reach $1083.45 billion by 2030 at a CAGR (compound annual growth rate) of 35%. Since data analytics and business intelligence are important to revolutionize the real estate industry, several firms have adopted tools like Microsoft Power BI, Tableau, etc., to convert raw data into actionable insights and generate reports in real time. Power BI is a popular business intelligence platform that can be connected to multiple data sources and can generate graphical and interactive data visualization reports through the interface. A real estate agency can vastly benefit from using Power BI to streamline its data and derive real-time analytics to make effective decisions. A cost-effective way to adopt Power BI is to hire a service provider. So, what are the top Power BI companies specializing in real estate? Let’s find out in this blog! How Does Power BI Help Real Estate Businesses? The use of Power BI for real estate analytics makes it easier for brokers to get quick insights about market conditions, assess the value of a property, or help customers find the right property that meets their budget requirements and aligns with their other preferences. Power BI can help a real estate firm in many ways. The dashboards can be customized for each KPI (key performance indicator) and metric to give agents more control over the process and assist them in closing leads quickly. So, how do Power BI solutions improve property investment decisions? Here’s how: With Power BI, brokers can analyze the various conditions, compare current data with historical data, predict future trends, analyze competitors, and determine which locations are the best for attracting more buyers. Rental rates, the cost of fixing and selling, average property value, etc., can be determined and predicted based on various factors. Managing properties is also a part of the real estate activities. Tracking occupancy rates, monitoring the costs of maintenance, managing lease and rental agreements, etc., can be streamlined using business intelligence tools like Power BI. Firms can reduce the risk of complications by leasing the properties to reliable customers after analyzing their data. Every real estate business has targets to achieve to stay in the business. While there are traditional methods to track sales and marketing efforts, relying on technology will give faster and more accurate results. The agents can also understand why they couldn’t achieve the target or where things went wrong and find ways to rectify the problem. Power BI companies in real estate also help firms track their financial performance by measuring the expenses and revenue, determining the ROI, and so on. It can also help with budgeting, forecasting expenses and revenue, providing detailed investment analysis for customers, and helping them make financially sound decisions. Understanding customers and maintaining good relationships with them is a must for a business to be successful in real estate. Getting feedback from customers, using their inputs to suggest the right properties, and monitoring their interactions with agents will go a long way in establishing the firm as a reliable and customer-friendly real estate agency. Managing a real estate firm is not an easy task. It is a highly competitive sector where agents constantly compete to close a lead before others while ensuring customer satisfaction. With Power BI to derive insights, agents can identify the bottlenecks in their processes, measure the success of a marketing campaign, allocate resources based on returns generated, and so on. Another important use of real estate analytics solutions is to measure the performance of an agent. Is the broker efficient in identifying properties? Is the agent reaching the monthly/ quarterly targets? What do customers say about the agent? Answers to such questions can be accurately determined by analyzing the agent’s data using Power BI. Another important part of the industry is legal compliance. Every region has different laws and requirements a customer has to comply with when buying, selling, or renting a property. Agents can ensure regulatory compliance and reduce risks by using the insights derived through Power BI. If the analytics highlight a customer or property as high risk, the agents can find ways to minimize complications. 11 Top Power BI Companies in Real Estate DataToBiz DataToBiz is one of the leading Power BI companies in real estate and an end-to-end digital transformation service provider. The award-winning company has a presence in many continents and helps local businesses revamp their processes and adopt advanced technologies to achieve their goals. The company is a certified Gold partner of Microsoft and a certified partner of AWS and Google. Its cloud migration and transformation services are tailored for each client. The company works with small, medium, and large real estate firms to empower their data-driven decision-making models by unlocking the true potential of business data. DataToBiz has a team of experienced Power BI experts who create personalized dashboards, set up third-party integrations, and provide long-term support services. Businesses can use Power BI on-premises, via cloud, or on smartphones to derive real-time insights on the go for cost-effective pricing. The company’s real estate data visualization reports are user-friendly, interactive, and accurate. Global Data 365 Global Data 365 is a leading business intelligence company offering innovative Power BI solutions for businesses to transform their data into insights. With clients from over twenty-five countries, the company specializes in offering tailored

Manpreet Kaur
March 23, 2025
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Resource Augmentation: Key to Strategic HR Staffing

Resource augmentation is an important strategy for human resources teams to boost their operational efficiency and fulfill the needs of a dynamic workforce. Find out how it helps HR teams reduce recruitment time and costs and integrate talented staff into existing teams. According to a report by Manpower Group, 75% of companies find challenges in addressing skill gaps, leading to project delays and reduced efficiency. Resource augmentation services is a reliable solution that helps companies to hire skilled professionals temporarily to fill critical roles while reducing costs related to permanent hiring. In this blog, we’ll discuss resource augmentation and how it helps HR teams find the right talent for organizational needs and adapt to project demands. What is the Meaning of Resource Augmentation? Resource augmentation services refer to including skilled professionals in a company to address skill gaps and fulfill specific business needs. This model allows companies to scale quickly by hiring external experts without committing to long-term commitment. A resource augmentation model is a flexible and economical approach that offers access to specialized talent. The best resource augmentation service examples include hiring staff for IT, project management, and development to fulfill demand while ensuring productivity. How Does Resource Augmentation Aid Human Resources Teams? Here are some ways in which resource augmentation helps HR teams. Simplifies recruitment process Regular hiring processes take time—weeks or months. However, resource augmentation contracts offer HR teams access to a pre-vetted talent pool, reducing the time-to-hire to as short as a day and enhancing the speed of hiring external staff to address skill gaps. Better project management Integrating augmented staff into existing teams allows HR professionals to manage projects more effectively. Organizations can have better control over their projects, delegate tasks to augmented resources, and complete projects within specific timelines. While internal teams can focus on core responsibilities, IT staff augmentation services provide augmented staff who can cater to project needs and complete their allotted tasks. Cost-saving Many costs, such as recruitment expenses, training, benefits, and allowances, are involved in the traditional hiring process. By adopting the resource augmentation models, organizations can cut these costs by hiring professionals and working with them only when needed, thereby eliminating additional costs. This approach is highly beneficial for small organizations and start-ups that have financial constraints. Access to specialized talent Resource augmentation allows the HR teams to source talent from different locations, thereby bringing out the best talent. This gives organizations a competitive advantage over others where their teams can work on critical projects and earn clients’ trust. Offers freedom of scalability IT staff augmentation services can be scaled up and down depending on the requirements and projects. Companies can release them when their projects are complete. This approach is highly beneficial in IT industries where project scopes may change rapidly. What HR practices ensure effective resource augmentation? HR teams must follow the below-mentioned practices to implement resource augmentation and achieve the best results. Define project requirements The HR teams must convey the project requirements clearly to the candidates. This includes skills needed, project details and timelines, expected results, budget, and other deliverables. By doing so, the HRs can be sure that they are hiring the right candidates, and candidates also know what is expected from them. Choose the right augmentation partner The HR departments should choose a reputable resource augmentation partner to help them hire vetted candidates. By opting for reliable partners who have a good reputation in the industry, they can access a diverse talent pool. It is recommended to check reviews and testimonials to verify the credibility and reliability of the chosen partner. Ensure easy integration with internal teams The HR teams must ensure the augmented staff easily integrates within the team. They must manage the staff actively and help them understand company culture, processes, and expectations. Also, they must perform regular check-ins to ensure everything is aligned, streamlines communication and collaboration within the internal teams and augmented staff. Track performance and outcomes The HR teams must define key metrics that will help them evaluate the performance of the augmented staff against the project goals. This will enable them to identify areas for improvement and ensure both the internal teams and external staff are working towards common goals. Offer ongoing support Once HR teams have onboarded the augmented staff, it is important to offer continuous support. This helps them to understand their queries, provide relevant resources, and guide them to ensure the augmented staff feels valued and motivated to work. What Challenges can HR teams face when implementing Resource Augmentation? Though resource augmentation offers many benefits, it also comes up with various challenges that the HRs must overcome for successful implementation. Some of the common challenges include: Cultural differences Cultural differences may bring significant challenges to them. Due to diverse geographical and cultural backgrounds, there could be differences in work ethics, working styles, and business practices. At times, these cultural differences may lead to misunderstandings and conflicts within teams and impact project outcomes. To overcome this challenge, HR must set clear communication guidelines and conduct training sessions for internal and external teams to help them understand each other’s work culture and ethics. Communication barriers Differences in time zones and communication styles may bring some hindrance in effective communication. For example, teams working across different time zones may find it difficult to coordinate meetings and respond promptly to emails/messages, leading to delays in project timelines. Therefore, it is advised to ensure clear communication within teams, allowing for real-time updates and feedback. Also, the HRs must encourage open feedback where the team members can share their opinions and suggest ways to improve how teams interact. Quality control Maintaining quality control is challenging when working with augmented teams. The external staff must abide by the organization’s rules and procedures and fulfill work standards and expectations. Poor quality control may lead to inconsistent work delivery, client dissatisfaction, and even damage the organization’s reputation. The HR teams must specify quality standards, conduct performance reviews, and provide feedback to ensure the

Manpreet Kaur
March 17, 2025
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AIaaS Companies in Finance & Banking – Top 10 Industry Leaders

AI-as-a-service (AIaaS) has revolutionized the finance and banking industry by offering scalable, data-driven solutions. With its potential to streamline operations and improve risk management, AIaaS helps financial organizations to stay competitive. This blog highlights the top companies driving transformation in the financial sector with the help of generative AI services. “To serve these markets, you have to re-imagine how money can be managed and moved because there will be more change in the next five years in financial services than in the past 30.” said, Dan Schulma, President of PayPal Artificial intelligence as a service (AIaaS) has become a crucial component in the finance and banking sectors. “AI adoption in the finance function is advancing quickly,” said Marco Steecker, senior director of research in the Gartner finance practice. According to a report by Gartner, the adoption of AI as a service business model in the finance sector in 2024 has increased, with 58% of organizations using it, marking a 21% rise from 2023. Ai offers different benefits, such as personalized services, improved decision-making, and quick operations. In this blog, we’ll talk about the importance of AIaaS in finance, along with the top 10 AI services companies that use AI to transform their finance and banking services. AIaaS Companies in Finance & Banking – Top Industry Leaders DataToBiz DataToBiz is a leading AIaaS company in finance that is dedicated to helping organizations use AI to enhance business efficiency and decision-making. With a focus on integrating AI into business processes, DataToBiz offers a comprehensive suite of services, such as AI consulting, machine learning development, natural language processing, and computer vision solutions. The company offers end-to-end support, from strategy development to implementation, allowing organizations to use AI technologies for their specific needs. DataToBiz is committed to ethical AI practices and data security, prioritizing the fair use of AI and adhering to regulations such as GDPR. rue potential of the business through transparent and cost-effective end-to-end data warehousing services. Salesforce Salesforce is a leading AI consulting services company and offers AI-powered solutions for the finance and banking sector through its Financial Services Cloud. Salesforce Financial Services Cloud is a platform that helps financial institutions such as banks, wealth management firms, and insurance companies to connect with their customers, offer personalized service, and automate tasks. Some of the main use cases include transaction dispute management, insurance claims, client meeting preparation, and complaints management. The platform utilizes AI to streamline processes, enhance engagement, and improve productivity by integrating seamlessly with existing business workflows, driving faster results and better outcomes. Brighterion Brighterion is a leading AI product development company that offers an AI platform that uses AI and machine learning for the finance and banking sectors. It helps financial institutions extract insights, make decisions, improve customer experiences, and streamline operations. Some of its prime offerings include fraud detection and prevention, chargeback prevention, and digital customer experience. Brighterion serves more than 2000 companies to protect against fraud and risk. Its solutions allow fraud risk assessment for transactions and merchants. The company also offers resilient payment software, ensuring seamless and secure transactions. SAP SAP offers a comprehensive suite of AIaaS solutions tailored to the finance and banking industries. Its SAP Business AI platform uses machine learning and intelligent automation to manage financial processes, such as invoice matching, risk analysis, and predictive financial forecasting. Some of the key features of this platform include working capital, accounting and financial close, compliance optimization, planning and analytics, travel and expense, and intelligent invoice-matching automation. This platform makes it easy to detect potential risks but also improves decision-making by providing real-time insights and accurate predictions, Ocrolus Ocrolus is a leading AIaaS company in finance and provides AI-driven document automation solutions tailored for the finance and banking sectors. It uses advanced artificial intelligence to process and analyze a wide array of financial documents, such as bank statements, pay stubs, and tax forms, in different formats. By integrating Ocrolus’s technology, lenders can automate processes such as income verification, cash flow analysis, and fraud detection. This automation improves risk management and reduces the scope of errors by providing accurate data, allowing financial institutions to make informed decisions. AWS AWS is a reputed AIaaS company in finance and product development that offers comprehensive cloud solutions for the financial services industry, helping them to streamline operations, detect fraud, and enhance customer experiences. Using AWS’s secure cloud infrastructure, financial organizations can scale operations efficiently, reduce costs, and work strategically with AI-driven insights. AWS offers AI consulting services for personalized banking, fraud detection, and automated compliance. The platform supports global financial transformation, making it easier for firms to adopt digitalization and stay competitive. H2O.ai H2O.ai is one of the best AIaaS companies in finance and offers no-code and low-code tools, enabling faster deployment and operational efficiency. It also focuses on responsible AI practices, ensuring fairness and transparency in financial models. Its H2O AI Cloud allows organizations to create solutions and foster automation and transparency. One of its intriguing applications includes LIBOR clause detection, which allows the processing of financial contracts and documents. It further makes it easy to identify key sentences related to LIBOR and offers contextual insights to support informed decision-making. Workday Founded in 2005, Workday Inc. is a leading provider of AI consulting services and cloud-based enterprise software specializing in financial management, human capital management, and analytics. This AI product development company offers innovative solutions development that helps organizations streamline operations, improve decision-making, and adapt to changing business needs. Workday’s financial management solutions include features such as accounting and finance, close and consolidate, revenue management, accounting center, expenses, grants management, audits and internal controls, analytics and reporting, and services CPQ. DataRobot DataRobot provides robust AI tools for financial services helping organizations to increase efficiency and decision-making. Its platform uses generative AI services and predictive modeling to offer features such as automated credit scoring, fraud detection, and stress testing. The company uses targeted marketing strategies to personalize customer experiences and deliver better outcomes. DataRobot supports regulatory compliance through governance-focused AI,

Yashica Chopra
March 13, 2025
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Top 15 Data Warehousing Companies in Manufacturing – Features & Services

A data warehouse is a central repository that helps streamline and automate workflow in an enterprise and make data-driven decisions in real-time. Here, we’ll read about the top 15 data warehousing companies in manufacturing industry and the range of services and other features they provide. Data is the core of any business. Manufacturing enterprises have tons of data about vendors, raw materials, production, suppliers, distributors, end users, etc. Storing this data in independent silos can be cumbersome and result in duplication. A data warehouse is a comprehensive solution to streamline manufacturing data and help implement the data-driven decision-making model. According to The Business Research Company, the data warehousing market was $33.76 billion in 2024 and is expected to reach $37.73 billion in 2025 at a CAGR (compound annual growth rate) of 11.7%. It is projected to reach $69.64 billion by 2029 at a CAGR of 16.6%. Whether you want to invest in a data warehouse as a service (DWaaS) or build an on-premise repository for data warehousing, it is recommended to partner with a reliable and reputed service provider. Data warehousing is not limited to setting up a central database. It is a complex process of identifying data sources, cleaning, sorting, and formatting the data, storing it in a central repository, and creating third-party integration with data analytical tools to provide real-time insights to end users. Check out the blog to find out the best data warehousing companies in manufacturing that offer tailored solutions to streamline your processes and deliver the expected outcomes. 15 Top Data Warehousing Companies in Manufacturing DataToBiz DataToBiz is among the leading data warehousing companies in manufacturing and several other industries with a global client base. It is an award-winning artificial intelligence and business intelligence company with ISO and SOC 2 certifications. Be it real-time manufacturing analytics or OEE analytics, the company knows how to provide tailored solutions that align with the client’s requirements. The company is also a certified partner of Microsoft (Gold), AWS, and Google. This expertise makes it a reliable partner for cloud data warehousing or DWaaS. It empowers manufacturers to eliminate outdated data silos and replace them with a flexible and scalable central repository on a cloud server. DataToBiz creates streamlined workflows to automate data collection, cleaning, and analytics. The teams build customized data visualization dashboards for enterprises to use graphical reports for proactive decision-making. It helps unlock the true potential of the business through transparent and cost-effective end-to-end data warehousing services. IBM IBM is a global IT and AI company offering data warehousing services to clients from around the world. It provides scalable and high-quality solutions to manage enterprise data and derive actionable insights in real-time. The company uses AI and ML tools to set up a data warehouse with several third-party integrations. It offers cloud-native Db2 and Netezza data warehouse technologies designed by the company’s experts to manage, store, and analyze diverse datasets. Manufacturers can decide the cloud platform they want to use for hosting the system. IBM works with large enterprises to help them become more agile and flexible. From optimizing the production cycle to enhancing cybersecurity and improving customer experience, the company supports the manufacturer in several ways. Amazon Redshift Amazon Redshift is a part of AWS (Amazon Web Services) offered by the tech giant. It provides seamless data storage and analytics through a data warehouse as a service solution for SMBs and large enterprises. The data warehousing platform can be integrated with other apps in the AWS ecosystem or third-party tools by independent vendors. The company offers a specialist to work with each client and set up the necessary connections. Redshift can be integrated with data lakes to derive actionable insights using SQL tools and accelerate decision-making. The company also helps enterprises monetize their business data to increase revenue sources. Amazon offers industry-specific solutions for each client to maximize results, optimize the use of resources, and mitigate risks. It is a great choice for businesses that want to use AWS for managing all business processes. Cloudera Cloudera is one of the leading data warehousing companies in manufacturing and other sectors. It has clients from various parts of the world and simplifies analytics to make them accessible to every employee in the enterprise. The company’s data warehouse provides cloud-native solutions and self-servicing analytics to quickly derive meaningful insights in real-time, and that too for cost-effective prices. The solution is integrated with third-party apps and AI tools to create a consistent framework for managing workflows. Cloudera also takes care of data security and governance to prevent unauthorized access and creates guidelines for businesses to manage their systems. The company promotes smart manufacturing through intelligent systems. From setting up IoT connections to building resilient supply chains, the company knows how to assist the manufacturer at every step. Yellowbrick Data Yellowbrick is an SQL data platform and an enterprise data warehouse provider in the market. The company’s robust platforms are designed to handle the workload of growing enterprises. Its solutions for data warehousing in manufacturing are secure, efficient, and scalable. Moreover, the system can be built on minimal infrastructure to reduce management costs for the enterprise. The platforms can be run on public, private, and hybrid clouds and are powered by cloud-native Kubernetes architecture. By using advanced artificial intelligence tools, the team of experts makes the data warehousing setup more scalable, agile, and user-friendly. Yellowbrick’s enterprise data warehouse comes with reliable ecosystem support and works anywhere (cloud and on-premises). The company also consolidates databases from different vendors to create a central data warehouse with greater efficiency. Informatica Informatica is an AI and data engineering company for clients from various industries, including manufacturing. It offers custom solutions for data warehousing in the production line to ingest, integrate, and clean the manufacturing data and derive insights in real-time. The company reduces the complexity of using different applications by creating a unified interface on a single platform. Its AI-powered low-code and no-code applications can be used by employees to access tailored reports and make

Yashica Chopra
March 10, 2025
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Building a Cost Effective Data Pipeline – The Intelligent Approach

A data pipeline can bridge the gap between raw data and actionable insights by creating a comprehensive and multi-step infrastructure on-premises or cloud platforms. Here, we’ll discuss data pipelines, analyze their associated costs, and demonstrate how to construct profitable pipelines using modern data engineering techniques. Data is everything for a business, be it a startup or a multinational enterprise. Converting raw data into actionable insights helps an organization make decisions quickly and gain a competitive edge. The process of transforming data into insights happens in complex data pipelines, a system where data from multiple sources goes through various stages like cleaning, storage, transformation, formatting, analysis, and reporting. The data pipeline is vital to implement the data-driven model in an enterprise. Fortune Business Insights reports that the global data pipeline market will reach $33.87 billion by 2030 at a CAGR (compound annual growth rate) of 22.4%. Tools and technologies are an integral part of the data pipeline. According to a report by The Business Research Company, the global data pipeline tool market has grown from $11.24 billion in 2024 to $13.68 billion in 2025 at a CAGR of 21.8% and is expected to touch $29.63 billion in 2029 at a CAGR of 21.3%. The same report says that the increase in the adoption of cloud computing technologies and migration to cloud platforms contributes to the higher demand for data pipeline tools. Tech giants like Google, IBM, Microsoft, AWS, etc., are among the top companies whose data pipeline tools are used by enterprises from around the world. However, data pipelines come with a few complications, money being the biggest concern for businesses. Is your data warehousing setup draining your budget? You are not alone! Data pipelines that haven’t been optimized and managed effectively become costly over time and drain business money. In this blog, we’ll learn more about finding out if your data pipeline is expensive and how data pipeline management using cloud solutions can optimize costs. Building a Cost Effective Data Pipeline Microsoft Azure and AWS (Amazon Web Services) are the top two cloud platforms in the market, followed by Google Cloud. You can migrate your existing data pipeline and architecture to the cloud or build a new cloud-native data pipeline and optimize it to save costs from spiraling over the years. With help from data engineering companies, you can make informed decisions about how to use existing resources to maximize performance and get better results by investing in cloud solutions. Structuring the Pipeline Start with the basics. If the foundation is strong, the entire data infrastructure in your organization will be robust, scalable, and aligned with your objectives. Identify and define the goals of building the data pipeline. Set the path for data flow and check which processes can be run in parallel without consuming too many resources. Create comprehensive data security, governance, and compliance documentation to ensure no one who is not authorized can access the system or data. Parallelization Parallelization is the process of dividing data processing tasks into smaller units that can be executed in parallel or concurrently across distributed computing resources. This is done to make the data management system more effective and increase its speed. It also makes the data pipeline easier to scale as and when required. Data engineers use different techniques like parallel execution, batch processing, distributed computing, etc., to achieve the goals. Cloud platforms like Azure and AWS make parallelization simpler by allowing experts to choose the resources and programming language to set up concurrent processing. Increase the data pipeline performance without adding to the cost. Caching and Compressing Caching reduces the latency of data pipelines to promote near real-time data processing and insights. A high-performing data pipeline will use caching and compressing techniques. With caching, the data is temporarily stored in the memory. With data compression, the size of transferred data is reduced, thus limiting the load on the network. Together, the entire data processing model will be quicker and more effective while consuming fewer resources. This ultimately reduces the cost of maintaining and using the data pipeline in your organization. The data engineering team will balance the procedures to free up computational resources and allow the processing of large data volumes in quick time. Azure Spot Virtual Machines Azure data engineering services give you access to spot virtual machines (Spot VMs) which are available on an auction-based pricing model. It is cheaper than the pay-as-you-go subscription model though Azure has the right to reclaim them if other customers require the capacity. If you have non-critical workloads with flexible start and end times, a spot VM is the best place to run them. Businesses can benefit from unused Azure capacity by using it for their processes. The pricing is categorized into three models: achieve, cool, and hot. You can also automate the processes to speed up the results. Shut Down and Remove Unused Resources A common reason for increased costs is the presence of unused resources in your plan. Data engineers can identify such resources and shut them down to optimize costs. This can be easily done by using tools like Azure Advisor and Azure Cost Management. The cloud platform provides customers with numerous tools and applications for resource and cost optimization. It’s up to you to use them effectively to manage the data pipelines. Even after shutting down idle resources, they will still accumulate in your account. When you no longer require the resources, remove them and increase the storage capacity. It’s vital to know why a resource is not necessary and how removing it doesn’t affect other processes. Infrastructure as Code (IaC) AWS data engineering has a practice called IaC or infrastructure as a code. It is the process of setting up and managing the systems using code instead of manual processes. Simply put, the developer will write code for the infrastructure that will automatically be executed whenever necessary. It is similar to how a website or a mobile application works. IaC is a great choice for DevOps teams