Collectively, we are amid a transition from data at rest to data in motion. Large volumes of data are streaming into organizations from all sides and with increasing frequency, forcing organizations to rethink how they process data. And the changing nature of the frequency with which data informs decisions requires a corresponding change in analytic approaches. The batch processing and ad hoc analyses of the past are no longer enough for this new data environment. Organizations that collect this information without analyzing it more quickly put themselves at a competitive disadvantage.
Changing Data Patterns Are Impacting Analytics
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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.