Looking in the rear-view mirror and studying what happened in the past is valuable. It can provide us with an explanation for what did happen. With this we can adjust how we do things moving forward. Today, this brand of business intelligence is simply too slow. What organizations need are tools that facilitate patterns identification within their historical Big Data Business Intelligence so that it can be turned toward forecasting future developments and they need those business analytics analysis tools to be fast.

Consider a consumer browsing your e-commerce store who has just added an item to their shopping cart … which related products should your store recommend? What offer should you extend to get them to buy more products? Will I hit my revenue numbers? With Microsoft Azure ML and Microsoft Azure SQL Data Warehouse you can find patterns, create predictive analytics models and score data in real time and near real time!

In our previous webinars, we demonstrated how to migrate an existing on premise data warehouse to Microsoft Azure and how to integrate Big Data and perform real time business analytics analysis. In this webinar we will use the information in our Azure data warehouse and Azure ML to do churn analysis and deliver product recommendations. The result will then be incorporated into our data warehouse and delivered via Power BI.

Watch it and find out how Dunn’s Application Developers can help you predict with Microsoft’s cloud-based Azure Machine Learning Platform.

For more information on our Big Data Business Intelligence Consulting Services, please visit Dunn Solutions Group online at: http://bit.ly/2fvV5rR