{"id":10521,"date":"2019-06-27T12:48:26","date_gmt":"2019-06-27T19:48:26","guid":{"rendered":"https:\/\/www.microsoft.com\/insidetrack\/blog\/?p=10521"},"modified":"2023-06-12T16:14:09","modified_gmt":"2023-06-12T23:14:09","slug":"creating-business-intelligence-with-azure-sql-database","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/insidetrack\/blog\/creating-business-intelligence-with-azure-sql-database\/","title":{"rendered":"Creating business intelligence with Azure SQL Database"},"content":{"rendered":"
This content has been archived, and while it was correct at time of publication, it may no longer be accurate or reflect the current situation at Microsoft.<\/p>\n<\/div>\n<\/div>\n
Microsoft Azure SQL Database creates a more efficient and reliable solution to gain data insights which are gathered from numerous business systems across the globe for Microsoft Real Estate and Facility (RE&F). With Microsoft Azure SQL Database, RE&F creates a modern data warehouse and data mart to improve access to end-to-end business data, creates business insights for the organization, and uses data and business intelligence to enable digital transformation within RE&F. With the new business intelligence self-serve platform, RE&F has a better method for accessing organizational business intelligence.<\/p>\n
Microsoft Real Estate and Security (RE&S) needed a more efficient and reliable solution for gaining insights into the data in numerous business systems across the globe. RE&S used Microsoft Azure SQL Database to create a data warehouse and data mart to improve access to end-to-end business data, to create business insights for the organization, and to use data and business intelligence to enable digital transformation within RE&S. With the new business intelligence self-service platform, RE&S has a single source of data, a more secure and reliable data catalog, a more complete view of its business data, and an efficient and user-friendly method for accessing business intelligence.<\/p>\n
Microsoft RE&S manages a real estate portfolio of 580 properties in 112 countries\/regions, comprising more than 33 million square feet. Operating and maintaining this amount of infrastructure is a huge undertaking, and it\u2019s important for us to know the exact status of our facilities to be efficient and to serve the needs of our employees and customers.<\/p>\n
A group of vendor teams manages all our facilities, from changing light bulbs to cutting grass to maintaining elevators to ensuring that heating and cooling systems are running, and the RE&S organization ensures that facilities management processes run smoothly for our entire company.<\/p>\n
RE&S and our vendors use many systems to manage our business. In the past, our ability to understand the state of Microsoft facilities depended on the state of the system of record databases that contain our organizational data. We gathered reporting data from these data sources to provide insight into the various RE&S business areas. The vendor-managed data sources in these systems of record weren\u2019t fully accessible by our RE&S business teams. Because these systems were largely owned and managed by vendors, it was often difficult to know who owned each data source and what data the source contained. We couldn\u2019t provide a single source of truth to define end-to-end visibility for our RE&S partners. The data that was needed wasn’t available.<\/p>\n
This represented a significant problem. RE&S is responsible for coordinating a massive global real estate and facilities portfolio, but we couldn\u2019t accurately or efficiently capture the current state of that portfolio. Our reporting systems depended on data from vendor systems that weren\u2019t standardized, and generating even simple reports required time and deep knowledge of these systems. Several specific factors limited our reporting capabilities:<\/p>\n
We recognized the need to create a unified repository for our data. We wanted to extract the data that we reported against out of vendor data sources to create a single source of truth across all aspects of our business, which would enable us to create greater business intelligence for RE&S. We established several goals to guide us through solution development:<\/p>\n
We used\u00a0Azure SQL Database<\/a>\u00a0as the core of our business intelligence solution. Azure SQL Database provides a repository for our business data outside of vendor data sources where we can combine and connect disparate data sources. This enables end-to-end data analysis and a centralized source for the majority of our reporting. Built in the cloud, Azure SQL Database gives us a resilient, scalable, and elastic platform that provided business and technical benefits by default, including:<\/p>\n Building processes to ingest data and ensure its quality, consistency, and validity was a big part of our plan and deployment. We engaged business partners and application managers within RE&S to assess the states of the applications that contained our business data. Then we created a series of steps to perform against each of these applications to ensure that we were pulling the best data possible into our solution. The steps were to:<\/p>\n Within these steps, we evaluated the reporting needs of each application with respect to data load frequency, data quality rules, and data delivery frequency. After establishing the process, we ensured that business processes were enforced to maintain future data hygiene and quality.<\/p>\n Azure Data Factory<\/a>\u00a0manages much of our data movement, and it enables us to extract, transform, and load all our data sources. Using Azure Data Factory pipelines, we pulled data from disparate data sources into our data warehouse where different data staging and transformation steps are performed. The data is then loaded into a customer-facing data mart, with additional transformations if necessary, for consumption by reporting processes.<\/p>\n We\u2019re using Power BI to provide our users access to RE&S reporting and data visualization.\u00a0Power BI<\/a>\u00a0enables users to create self-directed reports and visualizations from Azure SQL Database data without requiring advanced reporting skills or a deep understanding of the underlying data. We also created several Power BI dashboards that supply end-to-end views of some of our most important business data and processes. Because Power BI is cloud-based, it\u2019s accessible from anywhere, highly available, and scalable to meet our needs. We\u2019re also using metadata-driven reporting within Microsoft Excel to create easily navigated drill-down reports for our users that enable them to quickly focus on specific parts of RE&S business processes.<\/p>\n\n
Building business intelligence processes<\/h3>\n
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Managing data orchestration with Azure Data Factory<\/h4>\n
Creating actionable results with Power BI<\/h3>\n