If you’ve been reluctant to migrate data to SQL Server, now is the time to make the move.

Microsoft is adding many new features to its SQL Server 2017. This includes support for Python scripts on the platform, better integration between cloud-based and on-premises versions of Microsoft’s platform, a new graph database and adaptive query functionality. All of these improvements enable Business Intelligence (BI) analysts to conduct more advanced analyses that help organizations improve performance.

Microsoft SQL Server has become an invaluable tool. By migrating data to SQL, your organization will be able to gain new and valuable insights about your customers, employees and processes.

How BI supports AI

Big Data has moved beyond simply collecting and analyzing data. Now, BI analysts are expected to turn analysis into real-world applications to help generate revenue. Some of the most exciting possible applications of BI lie in the world of Artificial Intelligence (AI).

By utilizing BI in conjunction with AI, businesses can more quickly gain insights about critical business functions, especially those related to the customer experience.

Here are some of the ways in which BI and AI together will transform business decision-making in 2017 and beyond:

  • Employees who are not experts in data analytics will enjoy greater access to BI tools, enabling them to make data-driven decisions.
  • Business users will be able to generate their own reports, improving efficiency and reducing the load on IT experts.
  • Bolstered by increased knowledge of customers and the customer experience, businesses will begin to create richer products that do a better job meeting customers’ needs.
  • Marketing will be able to reach more customers (and more qualified customers), based on an enhanced understanding of the customer journey and how customers make decisions.

SQL Advantages

SQL Server is a natural fit for advanced BI. Storing data in a structured database like SQL Server makes it easier to run queries that will generate business insights. Here are just some of the BI advantages supported in Microsoft SQL Server 2017:

  • Users can run scripts using both R and Python. This enables a wide variety of users across functional roles to run analyses to improve productivity and collaboration.
  • SQL is supported on both the Microsoft Azure cloud platform as well as on-premises versions of the software. These platforms now better integrate with each other, so your organization doesn’t need to migrate all data to the cloud to benefit.
  • Graph databases are now supported, enabling you to better leverage the Internet of Things (IoT) and predictive analytics.
  • Users can now run adaptive queries in SQL Server, so system performance remains strong even as network conditions change. This enables data analyses to be performed with much greater efficiency.

If you’re interested in migrating to SQL Server but don’t have the in-house expertise to manage it efficiently, consider working with Ntirety’s SQL Server DBAs. Our team can help you make the migration smoothly so that your business can start to benefit from the advanced BI enabled by SQL Server.