Demo: Advanced Analytics on Structured and Unstructured Data Using SAP HANA and Hadoop

  • by Jothi Periasamy, Director, Big Data and Analytics, KPMG
  • October 31, 2013

In this video Jothi Periasamy demonstrates how to extract and analyze unstructured social media information to provide actionable business insight on product comparison, sales forecast, revenue predictions, and the financial implication on customer ratings.

Jothi Periasamy

Jothi Periasamy is a director at KPMG’s big data and analytics practice. Jothi has deep hands-on subject matter expertise in big data, predictive analytics, and in-memory appliances. Jothi has around 15 years of expertise in SAP systems, and his expertise includes solution design, project delivery, and practice building. He specializes in several industry processes, including finance transformation, retail point of sales, smart grid analytics, performance improvements, and data governance processes.

Jothi’s most recent experience includes working with clients on big data initiatives to drive business values through advanced analytics. Jothi works very closely with organizational senior leaders and business process owners to develop an approach and strategy to standardize data and analytics process across the enterprise.

Jothi has written numerous articles on finance and SAP Business Intelligence, SAP Enterprise Performance Management, SAP solutions for Enterprise Information Management, and SAP HANA. He has spoken at various industry conferences and events, including  SAP Reporting & Analytics, AICPA, SAPInsider, SAP TechEd, SAP BPC Bootcamp, and Global Power & Utility conferences.




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