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The FinTech revolution is truly transforming the way that we manage our money, bringing new online banks, new models for insurance provision, new ways to access loans, and much more. It rests on a number of pillars, but one of the most important is that of big data.

Nowadays, easy access to data is table-stakes for high-performing companies. Easy access doesn't come for free, though: it requires investment and a careful selection of tools. For young companies like us, the question is how much? And when do you make that investment? Having grown to ten people, several without engineering backgrounds but with strong data needs, we decided 2022 was going to be that time.

Microsoft BI is a powerful game-changer for business intelligence solutions that are widely used for data analysis and reporting. It is a unified self-service that delivers a great depth of data insights by combining interactive data visualizations with intuitive user experience. Whether you are a business enthusiast or an owner who likes to keep a tab on all things in a single dashboard, Power BI allows you to visualize and analyze your data dynamics like never.

Business Intelligence is essentially an umbrella term that includes infrastructure, best practices, and applications needed to analyze data and support decisions. In the age where data holds unlimited transformative potentials, hospitals and healthcare institutions are diving headfirst to harness the power of data through business intelligence (BI) services.

Power BI (Business Intelligence) is a business analytics platform/service provided by Microsoft. This service aims to provide interactive visualizations and business intelligence, enabling the end-user to create individualized reports and dashboards independently. Especially for retail businesses, Power BI helps them meet the dynamic customer demands in advance with actionable insights. Microsoft Power BI service is based on cloud service, which also offers a desktop-based interface.

The importance of effective data analytics within an organization is widely accepted by business leaders at this point. With use cases for data analysis spanning every department—from IT management, financial planning, marketing analytics, and so on—the right data analytics tools can have a significant impact on a company’s profitability and growth.

Data sources ingest data in different sizes and shapes across on-premises and in the cloud, including product data, historical customer behaviour data, and user data. Enterprise could store these data in data storage services like Azure Blob store, an on-premises SQL Server, Azure SQL Database, and many more. This blog will highlight how users can define pipelines to migrate the unstructured data from different data stores to structured data using the Azure ETL tool, Azure Data Factory.