Short abstract:
We are in the area with data of growing size and complexity. Therefore one of the key imperatives today is to use this data and get useful information out of it. The session will be focused on how by using predictive analytics, companies can improve the business outcome and how you as the user can apply advanced algorithms and techniques to solve a variety of business problems.
Abstract:
We are in the area with data of growing size and complexity. Therefore one of the key imperatives today is to use this data and get useful information out of it. The session will be focused on how by using predictive analytics, companies can improve the business outcome and how you as the user can apply advanced algorithms and techniques to solve a variety of business problems. Predictive analytics enables you to access a variety of data sources such as data warehouses, databases, Hadoop distributions or flat files and by using analytical techniques identify patterns and deploy predictive models into operational systems. Systems and people can than use these patterns and models to derive insights that enable them to consistently make the right decision at the point of impact.
Predictive analytics can be used in several different industries and various areas such as customer churn detection, profitability calculation, fraud detection, next best action analyses, anomaly detection, cross-sell/up-sell and many others.
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