SAP Adds Five New Applications for Its HANA Database | eWeek

SAP Adds Five New Applications for Its HANA Database

SAP Adds Five New Applications for Its HANA Database
Oct 31, 2013
2 minute read
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SAP on Oct. 30 made available four new big data-capable applications for its HANA in-memory database related to customer engagement intelligence and one application for fraud management.

SAP said it is making the software available for productive and prototype deployments through its HANA Enterprise Cloud service and is providing free three-day trials through the recently launched SAP HANA Marketplace.

The announcement was made at Strata Conference + Hadoop World in New York City.

The applications, which use the real-time text analysis and predictive capabilities of HANA platform, are:

Customer Value Intelligence: This analytics application gives sales and marketing managers real-time strategic customer insight into the true value of their customers, personalized recommendations for cross- and up-selling and closed-loop execution.
Audience Discovery and Targeting: This allows marketing managers to engage customers and help convert prospects by running advanced segmentations on large target populations and distilling insights into focused and personalized marketing campaigns.
Social Contact Intelligence: This enables marketers to leverage real-time sentiment and contact insights from social media and various internal and external data sources to help fine-tune marketing campaigns and nurture leads and develop new opportunities.

Account Intelligence: This mobile application offers mobile sales teams real-time customer insights and personalized selling recommendations that allow them to create target lists, increase the effectiveness of their sales visits and seize sales opportunities from anywhere.

Fraud Management: This brings together multiple data sources in real time, scanning for indicators. The application provides powerful investigation, simulation and analytical capabilities, which help to minimize false positives and quickly adapt fraud detection strategies to new patterns.

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