Data & Intelligence

Analytical Talent Gap

As new companies embark on the Digital Transformation leveraging Big Data, key concerns and challenges get amplified especially for the near term before the technology and talent pool supply adjusts to the demand. Looking at the  earlier post Big Data Challenges, the top 3 concerns were:

  1. Identifying the Business value/Monetizing the Big Data
  2. Setting up the Governance to manage Big Data
  3. Availability of skills

    Source: Mckinsey

    Source: Mckinsey

Big Data Skills can be broadly classified into 4 categories:

  • Business / Industry Knowledge
  • Analytical Expertise
  • Big Data Architecture
  • Big Data Tools (Infrastructure management, Development)
Data Intelligence - The Future of Big Data
The Future of Big Data

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The value creation or the monetizing of the Big Data (see Architecture needed to monetize API’s) depends on the Business and the Analytical talent. See talent gap on the right specifically in the analytical area. Educating and augmenting the talent shortage through partner companies is critical for the niche and must have technology. As tools evolve coping up with the Architecture becomes very important as past tool / platform short comings addressed with new complexities.

While business continues to search for the Big Data gold, System Integrators and Product vendors are perfecting the methods to shrink the time to market, best practices and through Modern Architecture. How much of the gap we can shrink depends on multiple factors of Companies and their partners.

See also our webinar on: Creating a Next-Generation Big Data Architecture

About the Author

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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