Number of Figures: 6
This IDC study is a guide to critical practices for achieving a higher maturity and competency level on the people dimension of IDC's Big Data and Analytics (BDA) MaturityScape. This study will help BDA program managers and project leaders widen the use of analytics in decision making within their organizations. Competitive advantage is increasingly being defined by an enterprise's use of Big Data and analytics solutions to create better products and services, provide better support for customers, and even help the organization avoid risk. But these projects are often inhibited by a lack of coordination between related groups within the enterprise and a lack of strategic awareness and focus on the skills and employees needed to leverage BDA effectively. The practices presented in this document will provide a solid operational foundation for organizations developing or expanding the use of BDA. By adopting some or all of these practices, BDA program managers and project leaders will help ensure the continued expansion of BDA within their enterprises and increase the value BDA can contribute to organizational success. The study is a one of a series of five documents, covering each of the five dimensions of IDC's Big Data and Analytics MaturityScape.
"Many organizations do not yet have the maturity to address the technology, staffing, data, process, and strategy requirements needed to capitalize on all their data assets," said Dan Vesset, program vice president, Business Analytics and Big Data. "Through IDC's Big Data and Analytics benchmarking and case-based research, we have identified five best and potential practices relating to the people dimension of BDA capabilities that can help organizations improve their chances of BDA project success."
Analytic applications, Big Data analytics and discovery, Big data and analytics, Business analytics services, Human capital management, IT strategy and governance, Information and data management, Information transformation, Leadership transformation, Market intelligence, NoSQL databases, Social networking, Technology buyer