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Data & Intelligence

Big Data Challenges

Big_data_challengesAs companies start adapting to handle Big Data, the challenges still remains. Barring the obvious applications, the challenges of getting the value out of the new-found data continues to be on the top of the list. ROI’s and potential revenues are yet to be realized. As the technology and the usage becomes more sophisticated we will start to see the results.

Data Intelligence - The Future of Big Data
The Future of Big Data

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From IT perspective top two challenges are Governance and Skills. Securing the Big Data for greater use within the organization is complex and the technology is evolving. Securing the right people with in-depth knowledge in managing Big Data bigger challenge.  And these two aspects will feed into the bigger challenge of ‘How to get value out of Big Data’.

Organizations find that the key resources who needs to be driving the Big Data are also the same resources who are so vital to managing existing core enterprise applications. Balancing the precious time of key resources and leveraging external thought leadership / expertise is key to successful Big Data initiatives.

Identifying the strengths of the organization and prioritizing the critical areas of investment is key to successful Big Data initiatives.

  • Managing Big Data initiatives (Value creation, thought leadership, Monetizing)
  • Managing the existing enterprise applications (integration, combining enterprise data)
  • Implementing Governance (security, oversight, process)
  • Infrastructure and tools (Hadoop, Analytics, in-motion)

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Shankar RamaNathan

Shankar RamaNathan is a Senior Enterprise Architect with 25+ years of experience in successfully developing and implementing IT strategy and Information Governance ( Master Data Management, Metadata Management, Data Quality and Data Governance) programs.

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