Topic: Cross Platform DB2 for z/OS & LUW
Today's competitive world demands cost effective and efficient uses of the available technology to deliver customer centric sentiment indicators that are both relevant to the business's products and services while reflecting real time opinions that are being expressed via social media. These days, social media discussions that are happening have the capacity to impact the result of your next business transaction!
In this presentation we will discuss the use of DB2 JSON, NoSQL (MongoDB) and other open-source search engine/sentiment analysis cloud service to allow for real-time social media analytics on an OLTP system.
The demonstration will showcase a simple DB2 Express system with limited resources, highlighting the possibility of allowing a small organisation to harvest social media sentiments and deliver positive and improved customer satisfaction.
Handling large data doesn't necessarily mean chunky and expensive database/hardware. When cost effective technology is used efficiently and connected effectively, even a small robust implementation can provide considerable benefits.
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