At Microsoft, our Information Security and Risk Management team—which manages our most hyper-sensitive information, in our largest databases—moved its entire database environment to Azure. The migration required careful planning and testing, but the move itself was simple. With automated administration and performance monitoring, our database administrators have time to focus on strategic projects such as data modeling, architecture design, and code reviews.
With an immense amount of data to manage across business groups, Microsoft IT continually works to develop logical methods to store and retrieve business intelligence data. We developed a solution with Cortana Intelligence Suite on Azure that optimizes predictive analytics for our marketing teams. The tools are customizable and scalable, and they allow us to look at big data with accurate predictive models in an automated workflow, for quicker and deeper insights into our business.
Microsoft IT developed an Azure-based app to encourage user and product feedback from members of the Microsoft Elite early adopter program. The new Elite app gave members a central point of interaction with the program across multiple device platforms. The broad acceptance of this app gave us a more comprehensive view into the early adoption process and helped to improve our product development management.
Azure Machine Learning and Cortana Intelligence Suite enable analysts at Microsoft to make financial forecasts faster. New predictive analytics tools allow us to analyze larger data sets and do more sophisticated calculations, which frees financial analysts to do more interesting, profitable, and creative work.
As the business value of data science grows at Microsoft, so does the need for a central platform to manage data assets, data models, and analytics publishing. To avoid redundant and disconnected efforts in data analysis, Microsoft IT used Azure and the Cortana Intelligence Suite to create a scalable, cloud-based platform that generates and manages predictive models for the sales and marketing organization.
DevOps is the future of IT. As Microsoft IT continues to adopt Azure, we also mature our DevOps organization. We’re driving an innovative and fault-tolerant development culture of self-service and automation that maintains strong security hygiene. We directly embed readiness criteria and operational standards into our engineering processes. Our configuration and operational practices help to support an iterative and rapid development culture, where we can “fail fast” and respond effectively.
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