Page 20 – DataToBiz

Manpreet Kaur
October 13, 2023
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Data Engineering Staff Augmentation – Key to IT Growth

Enterprises today harness the power of data engineering staff augmentation solutions to accelerate their IT projects. By tapping into outsourced expertise, they address skill gaps and elevate data-related capabilities, driving innovation and efficiency. Data engineering staff augmentation enables organizations to enhance their in-house data engineering capabilities by hiring specialized talent on a temporary or project-specific basis. This approach is particularly useful when companies need to address a sudden surge in data-related workloads, access specific skill sets, or expedite the development of data platforms. According to a report by PR Newswire, organizations around the world are projected to spend about USD 81.87 billion on staff augmentation by 2025. This staggering figure highlights the importance of staff augmentation to fulfill specialized talent needs and adapt to the rapidly changing dynamics of the modern workforce. Data Engineering Staff Augmentation – A Key to IT Growth In the realm of IT solutions, data engineering staff augmentation is a versatile model that aligns perfectly with the principles of managed services and IT outsourcing. It’s essentially a flexible, cost-effective way for companies to scale their data engineering operations up or down as needed, without the long-term commitments associated with traditional hiring. Let’s now explore why this approach is central to achieving IT growth. 1. A Scalable Solution for IT Growth The IT landscape is constantly evolving, with data engineering being a cornerstone of the digital transformation journey. However, many organizations face challenges when trying to maintain a full-time, in-house team capable of handling various data engineering tasks. Data engineering staff augmentation steps in as a scalable solution, allowing businesses to adapt quickly to evolving requirements. For example, when an organization is transitioning to AI-driven decision-making, it may need data engineering experts with specialized knowledge in machine learning and data processing. Rather than going through the lengthy process of recruiting and onboarding, companies can use staff augmentation services to bring in AI-focused data engineers on a project-by-project basis. This agility enables businesses to seize opportunities for IT growth without unnecessary overhead. 2. Access to Specialized Talent In the field of data engineering, one size does not fit all. Different projects demand varying skill sets, and the IT solutions required to address these needs can be quite diverse. With data engineering staff augmentation, organizations gain access to a wide range of experts, from data architects and ETL specialists to data scientists and cloud engineers. This access to specialized talent is essential for IT growth because it ensures that projects are executed with precision and efficiency. It’s like having a Swiss Army knife of data experts at your disposal, allowing you to build and optimize data platforms to meet your specific business needs. 3. Fast-Track Project Delivery In the competitive world of IT, timing is everything. Businesses that can deliver IT solutions faster often gain a competitive edge. Data engineering staff augmentation accelerates project delivery by enabling organizations to bring in extra hands and expertise when needed. This not only helps complete projects more quickly but also ensures that they are executed with the highest quality standards. When building a data platform, for instance, time-to-market is critical. Data engineering staff augmentation can expedite this process by supplying experienced data engineers who can help design, develop, and deploy the platform efficiently. This speed-to-market advantage is instrumental in achieving IT growth by capitalizing on opportunities before the competition. 4. Cost Efficiency Managing a full-time, in-house data engineering team can be expensive, especially for small to mid-sized businesses. Data engineering staff augmentation offers a cost-effective alternative, allowing companies to bring in expertise only when it’s necessary. This flexibility in resource allocation not only saves money but also ensures that IT budgets are used efficiently. For companies that are looking to invest in AI staff augmentation or bolster their data platforms, this cost-efficiency is vital for achieving IT growth while maintaining a sustainable financial model. The ability to allocate resources strategically based on project requirements is a hallmark of data engineering staff augmentation. 5. Mitigating Talent Shortages The IT industry is currently experiencing a talent shortage, with a significant demand for data engineering professionals. Finding and retaining top data engineering talent can be a challenging task. Data engineering staff augmentation offers a way to mitigate this issue. Organizations can tap into a global talent pool, accessing data engineering experts from around the world, thus reducing the impact of local talent shortages. Additionally, by working with external professionals, businesses can harness the knowledge and experience of individuals who have worked on a variety of projects across different industries. This diverse exposure can bring new perspectives and innovative solutions to IT challenges, further contributing to IT growth. 6. Fostering Innovation in Data Engineering Data engineering staff augmentation can also foster innovation within an organization. By collaborating with IT Staff Augmentation companies, businesses can embrace fresh perspectives and novel approaches to data engineering challenges. This innovation can lead to the development of cutting-edge IT solutions and a more competitive stance in the market. Moreover, the sharing of knowledge and skills between in-house teams and augmented staff can create a continuous learning environment, allowing for the cross-pollination of ideas and the evolution of best practices in data engineering. 7. Focus on Core Competencies When businesses utilize data engineering staff augmentation, they can free up their in-house team to focus on their core competencies. This allows for better utilization of internal resources and expertise, ensuring that the company is not bogged down by tasks that can be efficiently outsourced. The ability to focus on core competencies is fundamental for IT growth, as it enables businesses to direct their efforts and resources toward strategic initiatives and innovation, rather than getting sidetracked by the day-to-day maintenance of data platforms. Conclusion Data engineering staff augmentation is a strategic lever that empowers organizations to achieve substantial IT growth. This approach provides scalability, specialized talent, fast-track project delivery, cost efficiency, and mitigation of talent shortages that are crucial for success in the dynamic world of data engineering. Furthermore, it fosters innovation, allows

Yashica Chopra
October 11, 2023
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How to Ensure a Smooth Azure Migration?

Microsoft Azure is a powerful cloud environment with various services, applications, and tools. Businesses can build, deploy, maintain, migrate, and upgrade IT infrastructure on the cloud. Here, we’ll discuss the steps on How to ensure a smooth Azure Migration. Microsoft Azure is a cloud platform that offers a range of cloud-based services, technologies, and tools to various business organizations from around the globe. Businesses use Azure to build, deploy, and host their applications and IT frameworks on the cloud. It offers scalability, security, and tailormade services. While there are many other cloud service providers, Amazon (AWS), Google (Cloud), and Microsoft (Azure) continue to be the top three vendors, owning a combined market share of 65% in the first quarter of 2023. Microsoft has steadily gained its market share over the last three years to touch 23% in Q1 of 2023. The company has generated $22.1 billion through Intelligent Cloud sales for the same period. This includes Azure’s services and other cloud computing offerings. Business enterprises can rely on Azure consulting service providers to migrate their data and IT systems to the cloud platform. The consulting firms offer end-to-end solutions to streamline the process and minimize disruptions. In this blog, we’ll find out how to seamlessly migrate your data to Azure. What is the Azure Migrate Service? How would you ensure the smooth migration of applications into the cloud? According to the latest forecast by Gartner, the global end-user spending on public cloud services is estimated to grow by 21.7% from 2022 to 2023 to touch $597.3 billion. The report also says that 75% of organizations will adopt a digital transformation model and use the cloud as their primary platform by 2026. Additionally, the SaaS spending in 2023 is projected to be $197 billion, registering a growth of 17.9% from last year. Azure Migrate is the process of migrating, optimizing, and modernizing your data and systems to host them on a cloud platform. It has an extensible framework to facilitate third-party integrations and supports varied use cases. It includes pre-migration stages like discovery, evaluation, sizing, etc., for data, applications, and infrastructure. The Azure Migrate hub has a range of tools to speed up the process and minimize the risk of errors and data loss. Azure experts with Microsoft certification have access to these tools to complete the process successfully. Ensuring a smooth Azure migration – The strategy behind Migrating data and infrastructure to Azure is a step-by-step process that involves different tools and applications. It can be categorized into the following: Evaluate The first step is to identify the databases ready for migration to Azure. Here, businesses need to create the Azure Migration Strategy after evaluating the benefits and challenges of the process. What aspects to consider during migration? Which challenges to overcome? Migrate This is the migration stage where experts use Azure Migrate or the Azure Database Migration Service offered by Microsoft to automate the process. It saves time and minimizes the risk of interruptions or errors when the task is performed manually. Optimize Once the databases are migrated to Azure, they should be optimized to deliver better results. It is a post-migration process necessary to increase operational efficiency, reduce costs, and scale resources. This allows businesses to fully use Azure’s capabilities to streamline their processes. Monitor Though monitoring is considered the final step, it is a continuous process to measure the health of the databases, applications, systems, etc. This gives organizations more control over the performance of their IT infrastructure and regulates the operations in the Azure environment. How to ensure a smooth Azure Migration? Businesses are moving from on-premises databases and storage centers to remote cloud solutions for greater agility, flexibility, scalability, and efficiency. However, cloud migrations are complex and should be handled by experts. Hiring Azure consulting services for data migration will save time, reduce risk, and increase overall performance. Examine Workloads Start by examining the on-premises workloads and databases to determine which ones need priority migration to the cloud. Contrary to the general opinion, moving your entire IT infrastructure and outdated databases to the cloud may not be a smart move. It could also lead to greater costs. For example, migrating virtual machines to Azure is expensive. Building one directly on the cloud and setting up integrations will be a better option. Assess every database, application, and tool used in the enterprise and shortlist the ones that can be migrated. Prepare for Data Transfer The next step is to determine the amount or volume of data that needs to be transferred to Azure. The transition duration will depend on this as large databases take more time and cause give rise to certain complications. Azure experts will find the best method to migrate the data to minimize downtime and glitches. Prioritize business-critical data necessary for everyday use so that employees won’t face delays or have to pause daily operations. That way, businesses can prevent losses and ensure customers are not affected by the process. Categorizing Data – Hot vs. Cold An easier way to prioritize and prepare for data transfer is by categorizing data. It helps optimize the storage strategies and manage Azure workloads. Basically, data is classified into two types – hot and cold. Hot data refers to the databases and information employees need access to for their day-to-day work. It is business-critical information necessary for everyday decision-making. This data is prioritized and migrated at the earliest. Cold data is historical and other relevant information that is not vital for daily work but is still important for the business. This data can be migrated over time after choosing more affordable cloud storage options. Finalize Data Transfer Strategy It’s time to choose and decide on the best data transfer strategy to migrate it on-premises to Microsoft Azure. One method is to use the Azure Backup Service to secure cold data and migrate the applications to the cloud. Then restore the data in the new cloud infrastructure. Another method is to use the Azure Import/ Export service to move large volumes of data by sending the disk drives

Yashica Chopra
October 09, 2023
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How to Hire BI Consultants in Australia

Business intelligence helps organizations make the best of their data and use visualization reports for effective decision-making. Hiring the right consulting company can boost your business in several ways. Here, we’ll discuss how to hire BI consultants in Australia. Business intelligence is a suite of applications, processes, and technologies to collect, store, and analyze data to derive actionable insights for decision-making. BI helps organizations use historical and real-time data to make effective decisions quickly and gain a competitive edge in the market. Statistics show that the global BI market will touch $33.3 billion by 2025. Enterprises around the world are adopting business intelligence tools to make fact-based decisions. In fact, according to a report, 70% of organizations think that data discovery and data visualizations are crucial to detecting trends and patterns when making important business decisions. Establishments from the government, public, and private sectors in Australia are eagerly investing in data analytics and business intelligence to increase profits and become industry leaders. However, many aspects should be considered when hiring BI experts to work with your business. In this blog, we’ll read more about what business intelligence consultants do and how to hire the best BI consulting company to help you achieve your goals. What Does a BI Consultant Do? The BI consultant has many responsibilities in an organization. They help streamline internal processes to increase efficiency and optimize the use of resources. BI experts also help understand customer behavior, market trends, competitors’ moves, etc., for a business to make proactive decisions and stay one step ahead. A BI consultant is responsible for collecting data analytical reports, managing data storage, documenting the process, and tracking the outcomes of various analytics. Other roles include: Business intelligence consultants handle multiple tasks and systems simultaneously to ensure that real-time analytics are accessible. They use tools like Microsoft Power BI, Tableau, Qlik, etc., to set up analytics and customized dashboards for data visualizations. It’s vital to hire experienced BI consultants to ensure seamless data flow and accurate analytics in the enterprise. That’s why many businesses in Australia (and around the world) prefer to hire BI consulting companies instead of building an internal team from scratch. How to Hire BI Consultants in Australia Identify Business Needs When hiring a BI consultant for your business, you should start by identifying your organization’s needs. Do you want to adopt data analytics across all departments? Will you start small with a pilot project and scale it over time? What are your priorities? How do your existing legacy systems work? Which areas do you want to improve by using BI? The top management and C-level executives should have a clear picture of the organization’s past and present. Understand your business goals to know what to expect by adopting the data-driven model in the enterprise. Prepare a Budget Do you have the budget to make the necessary changes in your business processes? Paying BI consultants is just one aspect of the project. Consider the bigger picture. The BI specialist will recommend changes to the systems and processes. This costs money and can go out of control if you don’t have a definite budget and funds allocated to it. This point is crucial for SMBs and emerging businesses with limited finances. Discuss your budget with the BI consultant. Select the processes you want to revamp using BI. Customer service, sales, and marketing are the three most common areas where businesses adopt analytics. Freelancer Vs. Company Building an in-house team is very expensive and can easily multiply your costs. However, you can choose between a freelance Power BI consultant and a consulting company. A freelancer usually works alone and has limited resources, while a company has a team of experts and uses its resources to help your business. Furthermore, partnering with a full-fledged BI company allows you to hand over the entire responsibility to them and focus on your core business. They offer end-to-end solutions and long-term maintenance services to upgrade the systems whenever necessary. Since the company will be familiar with your systems, it becomes easier to detect errors, minimize risks, and increase ROI over time. Research and Shortlist Consulting Companies Before partnering with a BI consulting company, make sure to read more about the leading service providers and create a shortlist of the ones that suit your business. For example, a small business may not be able to afford the prices of a multinational BI company. In such instances, SMBs can research service providers who specialize in working with growing businesses. Furthermore, your industry and market are also important. Does the consulting company have experience in the niche and understand the local and national market conditions? One-to-One Meetings Once you shortlist the BI companies, schedule a meeting with their experts. The meetings can be in-person or virtual but make sure you talk face-to-face to determine which company is the best fit. You can have more than one meeting before making the final decision. Be sure that the BI consultants can understand your business from your viewpoint and offer a fresh perspective. Your thoughts and goals for the business have to be aligned to eliminate future complications. Finalize the service provider only after careful consideration. Choose the Right BI Tool The market has many BI tools with extensive features. Many of these can be used as desktop versions, cloud services (SaaS), and mobile apps. However, its the time to select the one that suits your business processes. For example, Microsoft Power BI is a popular business intelligence tool used by several enterprises, financial institutions, manufacturing companies, healthcare centers, etc. That way, you can hire a Power BI developer when finalizing the consulting company. The specialist will set up Power BI and integrate it with other software in your business. They will create and customize dashboards based on your requirements. Reasons to Hire Power BI Consultants Another Perspective of the Business When you hire outside consultants, they bring a fresh perspective to look at your business and find effective solutions. Furthermore, an experienced consultant will have better domain knowledge and a good grasp of industry

Yashica Chopra
October 07, 2023
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7 Top HR Analytics Companies You Should Know About

HR analytics track, measure, and analyze employee performance and engagement with the business. Here, we’ll discuss the 7 Top HR Analytics Companies and the benefits of investing in data analytics for human resources and workforce management. The human resource teams have multiple responsibilities in an organization. Recruitment and training are just two aspects of the entire process. From managing employee performance to handling complaints and promoting ethical organizational behavior, HR teams work with people at various levels. However, HR is not limited to people. Data and analytics are necessary for the teams to effectively handle their responsibilities. Statistics show that close to 60% of businesses use specific HR software for employee performance management, and 44% of CEOs believe that artificial intelligence tools can be useful in acquiring and retaining employees. 80% of HR professionals believe that using HR technologies will increase employee engagement and improve their attitude towards the company. But how do business organizations implement HR technologies and analytical tools? A majority of them work with offshore HR analytics service providers to create a strategy and implement the right AI tools to assist the human resource departments. The consulting companies identify the roadblocks and find ways to overcome the challenges faced by HR teams. From setting up data pipelines to integrating different software applications and customizing the analytical tools, the service provider offers end-to-end solutions. In this blog, we’ll understand the role and importance of HR analytics before discussing the top companies offering HR analytics services. What is HR Analytics? HR analytics is the process of collecting human resources, financial, and operational data from multiple sources to apply business intelligence tools and derive actionable insights. These insights help the HR teams understand employee performance, engagement, satisfaction, etc., and identify the talent gap in the enterprise. Though many companies use HR analytics, people analytics, and workforce analytics as synonyms, there is a marked difference between the three. However, there is an overlap in data and insights derived. HR analytics makes the HR teams and top management more aware of the issues that affect employee performance and productivity. The insights help in making effective decisions to increase the overall business value by taking care of employees and helping them streamline their performance. Hire data consultancy services to set up HR analytics for a business using fewer resources and increase ROI. Top 7 HR Analytics Companies 1. DataToBiz DataToBiz is a data engineering and business intelligence company that provides end-to-end services to SMBs, MSMEs, and large enterprises from around the globe. The company delivers HR management and analytics to organizations from Asia, Australia, North America, Europe, Africa, and the Middle East. DataToBiz has developed various AI tools like HirelakeAI and PrepAI to assist the HR teams in automating recruitment and employee assessments. It offers a plethora of services, such as: The company has Power BI experts to set up and integrate HR analytics and data visualization dashboards in the business. The dashboards are customized to provide the HR teams with real-time insights based on the KPIs. DataToBiz helps businesses explore their untapped potential by leveraging BI tools to get the best data experience and increase ROI. The company has won the top artificial intelligence company and top BI and big data company awards from Clutch in 2023. 2. Claro Claro is a Wilson HCG Company offering labor market intelligence to businesses across the world. It provides real-time insights about jobs, diverse talent, and salaries to help HR teams make strategic decisions to create an inclusive and diverse talent pool. Claro Analytics is a 360° workforce analytics platform with a Job Seeking Sonar® algorithm to increase employee retention rates. Businesses can use the API to access labor market data for actionable insights. The platform exclusively focuses on workforce analytics consulting and boosts the organizational capabilities of a business through the following services: Claro offers advanced analytics to speed up recruitment, increase employee engagement, and reduce attrition. The platform analyzes global labor force data to understand job seekers’ behavior. These insights help businesses correct job descriptions, adjust salary scales, and streamline internal policies to make sure talented employees stay with the organization. 3. Greenwich.HR Greenwich.HR aims to make labor market intelligence more transparent and empower organizations to make effective HR decisions. The company provides a comprehensive dataset to power labor analytics in different businesses. The datasets are always up to date with the latest details to save time, money, effort, and resources for businesses. The company wants organizations to spend their valuable time creating solutions instead of collecting data. Greenwich.HR caters specifically to human resource teams and assists HR analytics consultants with the following aspects: The company offers products like WageScape, an interactive compensation dashboard with next-gen analytics, to assist HR teams in tracking the pay scales for any job from any location and industry. Greenwich.HR is used by businesses from 210 countries and helped several organizations to make data-driven decisions. The company’s services are used by multinational companies, recruitment agencies, and so on. The data platform can be integrated with different third-party HR systems to assist the teams in streamlining recruitment and employee engagement. 4. Perceptyx Perceptyx provides HR analytics consulting services to help businesses focus on their people. The platform assists the human resource department in creating and executing a perfect employee experience strategy based on the organization’s values, employee expectations, and so on. It turns raw data into actionable insights for managers and leaders to make the right decisions. The platform helps HR teams understand the bigger picture while also pinpointing the issues and focusing on each of them to prevent voluntary employee attrition. It provides services for the following: Perceptyx offers HR analytics in three stages- Ask (gather data through employee surveys), Sense (conduct lifecycle surveys and continuously listen to employees), and Dialogue (crowdsource insights to increase employee and people engagement). The platform provides 360° feedback and intelligent coaching to make managers more effective in their roles. Perceptyx is a SaaS (Software as a Service) product that can be customized to suit the varying requirements of HR teams from different businesses and industries. 5. TrustSphere TrustShpere is a world leader in organizational

Yashica Chopra
October 05, 2023
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10 Top AI Service Providers in India

Several AI Service Providers in India work with local, national, and international clients from various industries. The AI companies offer tailor-made solutions to help enterprises adopt advanced technologies and solutions like artificial intelligence and machine learning for day-to-day operations. Here, we brief about the top AI companies from India. Artificial intelligence is today’s reality. It plays a significant role in both our personal and professional lives. From the apps on our smartphones to the software applications we use at work, many tools are now powered by artificial intelligence. India has been an IT hub for a long time. Many multinational companies turn to Indian service providers for affordable and quality services in the IT industry. India’s growth in the field of artificial intelligence has been worth highlighting. According to the report by International Data Corporation (IDC), the AI market in India will touch 7.8 billion USD by 2025 at a CAGR (compound annual growth rate) of 20.2%. The Indian AI services market is said to grow at a CAGR of 35.8%, while the market for AI software is expected to grow at 18.1% CAGR. The statistics are proof that Indian startups and companies are investing in artificial intelligence in different ways. AI-powered chatbots, content streaming, social media monitoring, telecom, and eCommerce are a few areas where AI has a major presence in the Indian market. Another report shows that there are 1,09,000 AI personnel in India across all industries. With an increasing demand for artificial intelligence service providers in all sectors, it is important to list the leading AI service companies in the country. This blog will help you with a brief overview of the top AI service providers in India. Top Artificial Intelligence Service Providers in India 1. DataToBiz DataToBiz is an AI solution provider for small, medium, and large-scale businesses from India, Asia, the Middle East, and North America. The company offers customized artificial intelligence and machine learning tools to help organizations from varied industries like FinTech, EdTech, manufacturing, hospitality, retail, entertainment, and more. DataToBiz offers end-to-end solutions to implement AI technology in clients’ firms. It is a certified partner of Microsoft Azure, AWS, and Google. The company offers cost-effective services and believes in a transparent pricing structure. DataToBiz has worked with more than 300 clients and has a satisfaction rate greater than 97%. The company offers AI, ML, and DS consulting services along with big data analytics and data engineering. It is a one-stop solution provider for all your business needs. PrepAI, SensiblyAI, and HireLakeAI are some of the artificial intelligence platforms developed by the company. 2. Bosch Bosch Center for Artificial Intelligence was started in 2017. It has a presence in many countries including India, Israel, the US, Germany, and China. Bosch offers cutting-edge technologies and solutions to help its clients adopt artificial intelligence into their establishments. The company primarily focuses on Natural Language Processing (NLP), Deep Learning, Probabilistic Modeling, Neuro Symbolic AI, and Reinforcement Learning (including control and optimization). Bosch has its own research center and offers Industrial AI solutions for large enterprises. The company aims to include AI in all of its products by 2025. From smart home appliances to autonomous cars and more, Bosch wants to provide Industrial AI and IoT services to enterprises and manufacturers to streamline and upgrade their processes with artificial intelligence technology. Bosch aims to boost the quality of life throughout the world through its products and services. 3. Kellton Tech Kellton Tech Solutions Ltd. was first established in 1993. New management and leadership took over the company in 2009 and began an expansion program. Kellton Tech is now a multinational company with offices in Asia, Europe, and the North American continents. The company is ISO 9001:2015 and CMMI Level 5 certified. It works with startups, SMBs, SMEs, large enterprises, and Fortune 500 companies to offer comprehensive digital solutions at all levels. The company offers personalized services through its customer-centric approach. Flexibility and scalability are the two key highlights of Kellton Tech. The company works with organizations from several industries ranging from education to retail to the service sector. It offers services like agile enterprise, data engineering, automation, blockchain, product engineering, cloud integration, and more. 4. Tata Elxsi Popularly known as the Tata Elxsi Artificial Intelligence Center of Excellence (AICoE), the company has twenty-five years of experience providing an array of AI services to various organizations from around the globe. Product engineering, research, and strategy, Industry 4.0, design portfolio, operations, testing, automation, etc., are some services offered by Tata Elxsi. The company mainly works with businesses from automotive, healthcare, media, semiconductor, communications, consumer electronics, and off-highway equipment to offer AI tools and services. Cloud integration is one of the services provided by the company. The breakthroughs and innovations in artificial intelligence like self-driving cars and video analytics are credited to Tata Elxsi and its team of professionals. The company is working on many patent-pending projects and aims to provide an easily adaptable AI landscape for businesses. 5. Happiest Minds Happiest Minds Technologies Limited is a Bangalore-based AI service provider with operations in The US, UK, Australia, Canada, and the Middle East. It works with various technologies like AI, blockchain, IoT, cloud, and automation. Advanced analytics and data security are other service areas of the company. Happiest Minds has ISO9001:2015 and ISO27001:2013 certifications. The company has clients from industries like eCommerce, EdTech, hospitality, manufacturing, travel, etc. Agile engineering is one of the main focus areas. Innovation, creativity, collaboration, communication, and customer satisfaction define the company’s values. The company aims to build intelligent systems that facilitate enterprise-wide automation with greater accuracy. Data science, DevOps, and digital transformation services are a part of its offerings. 6. Nextbillion AI Nextbillion AI is an AI enterprise mapping platform that works with various businesses to help them scale, manage, and map their ecosystems. The company provides sophisticated solutions for complex problems using artificial intelligence and advanced technology. The company aims to build a decentralized system for the clients by optimizing the use of resources and reducing costs. The APIs,

Yashica Chopra
October 03, 2023
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8 Top AI Service Providers in Canada

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

Yashica Chopra
September 29, 2023
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Business Intelligence Reporting: A Comprehensive Guide

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

Yashica Chopra
September 27, 2023
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Digital Transformation for Businesses: Why is it crucial?

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

Manpreet Kaur
September 25, 2023
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Why is Big Data important in the Telecom industry?

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

Yashica Chopra
September 18, 2023
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7 Top Power BI Companies in UAE

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