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Predictive Analytics

Predictive Analytics – Get More From Your Investment

Predictive Analytics helps your organization go beyond reporting and dashboards by allowing you to anticipate change so that you can plan and carry out strategies that improve outcomes. Predictive analytics and data mining encompass a variety of statistical techniques from modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.

By applying predictive analytics solutions to data you already have, your organization can uncover unexpected patterns and associations and develop models to guide front-line interactions. This means you can prevent high-value customers from leaving, sell additional services to current customers, develop successful products more efficiently, or identify and minimize fraud and risk. Predictive analytics gives you the knowledge to predict and the power to act.

As a Microsoft Partner we combine the power of Microsoft Business Intelligence solutions including Microsoft SQL Server 2008 and Microsoft SharePoint 2010 with advanced statistical modeling and data mining solutions; this provides easy, yet powerful, end-user experience with the control and flexibility needed by line of business practitioners. Reaching beyond the traditional scope of business intelligence (BI), providing access to critical information at all levels of the organization, these solutions offer the unique advantage of connectivity between internal and external organizations and customers. While providing this functionality, Microsoft solutions for Connected Insights can become an integral part of a larger infrastructure that includes enterprise performance management, supply chain planning, visibility, execution, customer relationship management, and customer loyalty programs.

These solutions are able to integrate BI capabilities with your existing applications, and can deliver a full range of personal, team, and organizational BI tools across key functional areas in the consumer goods sector — from enabling account managers with sales scorecards based on downstream retailer data, to giving trade promotion managers real-time visibility of ROI by promotional event, to arming supply chain practitioners with real-time demand forecasts.