Big data is valuable. Our benchmark research shows that using big data analytics results in better communication, better alignment of the business, a competitive advantage, better responsiveness and decreased time to market. But big data comes in many forms, from many sources and is not always easy to work with. These complexities have caused many organizations to become too reliant on IT for big data analytics. Nearly two-thirds (61%) of the organizations participating in our benchmark research told us they either rely on IT or require the assistance of IT to create big data analytics. Only one- quarter (24%) make direct, self-service access by line-of-business employees the primary way they provide big data analytics. Those organizations that do provide self-service access have the highest rates of satisfaction — 72 percent compared with 54 percent when IT resources are required.
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About the Author
SVP and Research Director
David Menninger is responsible for the overall direction of research on data and analytics technologies at Ventana Research. He covers major areas including artificial learning and machine learning, big data, business intelligence, collaboration, data science and information management along with the additional specific research categories including blockchain, data governance, data lakes, data preparation, embedded analytics, natural language processing (NLP) and IoT.