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Putting the Puzzle Together: Exploiting Big Data to Piece Together the Customer Picture

Data-Driven Business Beekman Parlor -- Sutton North
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Social media has introduced an entirely new source of insight into the consumer sentiments that drive shopping and purchasing behavior. But to get a complete picture of the customer, we have to sift through and analyze massive amounts of this unstructured text and combine it with other traditional customer data sources such as CRM and Call Center applications. Then, just like a puzzle, the picture becomes clearer and clearer as the customer pieces come together.

Using advanced text and entity analytics to define, extract and represent entities such as people, organizations and products, along with their relationships, can help us build more comprehensive consumer profiles that can be leveraged to improve customer retention and acquisition, campaign management, and lead generation.

Join this session to learn how social media analytics can help you know your customers so you can give them what they want and keep them coming back.

Topics to be covered in this session:
- Challenges in trying to analyze social media data
- New analytic approaches (text, entity, predictive) to analyze the variety of customer data
- Business use cases referencing real-world client examples
- Demonstration of social media analytics in action
- Future of social media & customer analytics
- How to begin using social media analytics in your organization

Photo of Anjul Bhambhri

Anjul Bhambhri

IBM

Anjul Bhambhri is the Vice President of Big Data Products at IBM. She was previously the Director of IBM Optim application and data life cycle management tools. She is a seasoned professional with over twenty-two years in the database industry. Over this time, Anjul has held various engineering and management positions at IBM, Informix and Sybase. Prior to her assignment in tools, Anjul spearheaded the development of XML capabilities in IBM’s DB2 database server. She is a recipient of the YWCA of Silicon Valley’s “Tribute to Women in Technology” award for 2009. Anjul holds a degree in Electrical Engineering.

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