IBM Premiere Business Partner

Customer Intelligence Analytics

Customer Intelligence are driving integrated multi-channel retail marketing

The time U.S. consumers spend shopping on the web or via mobile applications increased nearly 90 percent in the last year. Fueled by steady growth in e-commerce, mobile applications, social networking sites and new on-line retail models, today’s retail market offers consumers more ways than ever to shop. The proliferation of retail channels – combined with today’s newly empowered retail shopper – have made it both more important and dramatically harder for retailers to understand who their customers are and how they interact with their brands.

The NES 360 degree view of the customer solution is a set of services designed to help customers better understand their customer’s behaviors and identify areas of revenue opportunity.  The solution is comprised of 3 supporting technology areas, a data integration layer, a data warehouse appliance layer and a BI/Reporting layer.  (All or some of these technologies may be included in a solution implementation depending on customer need)

Built around IBM Puredata for Analytics (aka, Netezza) as the data warehouse appliance, customers can either choose to integrate their data into Puredata/Netezza with the IBM information Server suite of products, NES’ purpose built data integration appliance for IBM Puredata, SQL Maestro, or an existing data integration technology. Once the data warehouse is populated with customer “master data”,  we then develop an integration strategy around IBM Cognos to provide a dashboard/reporting interface that allows business users to interact with the customer data.

The NES 360 degree view of the customer solution provides an end to end business application giving the client a holistic view of customer behavior. From an IT perspective, it bridges the gaps that exist between information management technologies (e.g., data integration and warehousing) and analytic solutions (e.g.,business intelligence, predictive analytics and data visualization).

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