This IDC study describes IDC's Big Data and Analytics (BDA) Maturity Model framework that identifies the stages, critical measures, outcomes, and actions required for companies to effectively develop BDA competency. As evidence of the competitive advantage of organizations that espouse data-driven decision making grows, big data and analytics have become a top agenda item for a growing number of executives. With the opportunity to unlock the value held in information assets comes the need to navigate technology alternatives, reengineer business processes, and ensure the availability of appropriately skilled staff. IDC's Big Data and Analytics Maturity Model is a framework of five stages (ad hoc, opportunistic, repeatable, managed, and optimized), critical measures (intent, data, technology, people, and process), outcomes, and actions required for organizations to effectively advance along the successive stages of big data and analytics competency toward a culture of data-driven decision making.
"Our maturity model enables organizations to assess their big data and analytics competency, use the baseline to define short- and long-term goals, plan for improvements, prioritize technology and make staff investment decisions, and bring business value into view," said Dan Vesset, vice president, IDC Business Analytics and Big Data Research program. "This maturity model can help uncover maturity gaps among business units or between business and IT groups, thus providing a framework for all the stakeholders to collaborate to advance the organization toward a common goal."
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Analytic applications, Big Data analytics and discovery, Big Data decision support and automation, Categorizers, Data access, analysis and delivery, Data warehouse platform software, Databases, Governance, risk and compliance infrastructure, IT buyer, Market intelligence, Public cloud services, Search and discovery