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March 12, 2013

IDC Releases Model to Help Vendors Unlock the Value of Big Data


International Data Corporation (IDC) published a Big Data and analytics (BDA) maturity model, providing a framework of stages, critical measures, outcomes, and actions required for organizations to advance along the successive stages of BDA competency and maturity toward data-driven decision making.

"Big Data and analytics have become top agenda items for many executives, but with the opportunity to unlock the value of Big Data to accelerate innovation, drive optimization, and improve compliance comes the need to demonstrate value, navigate expanding technology alternatives, re-create business processes, and ensure the availability of appropriately skilled staff," said Dan Vesset, program vice president, Business Analytics research.

IDC's Big Data and Analytics maturity model enables organizations to:

  • Assess their BDA competency and maturity
  • Use the baseline to define short- and long-term goals and plan for improvements
  • Prioritize BDA technology, staffing, and other related investment decisions
  • Uncover maturity gaps among business units and between business and IT groups

IDC research shows that many organizations do not yet have the competency or maturity to address the range of technology, staffing, and process requirements needed to capitalize on Big Data assets and to deploy analytics for operational, tactical, and strategic decisions. To assist organizations in assessing their current capabilities and to evaluate gaps in reaching higher levels of BDA maturity and competence, this framework identifies the five stages and five critical measures as well as the outcomes and actions required for organizations to move through the maturity model stages.

The report, IDC Maturity Model: Big Data and Analytics - A Guide to Unlocking Information Assets enables an organization to assess its BDA competency and maturity; use the baseline to define short- and long-term goals and plan for improvements; prioritize BDA technology, staffing, and other related investment decisions; uncover maturity gaps among business units and between business and IT groups.

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