Manufacturing data comes in many shapes and sizes, from big data sources to unstructured documents. To be competitive and operate efficiently, manufacturers must use all the data at their disposal to improve their business processes. One-quarter of manufacturers report that they are working with more than 20 different data sources. These sources include everything from accounting and financial data to internet of things data. Bringing these varied data sources together from internal sources and even across the supply chain requires technology that can access and prepare the data for both operational and analytical processes.
Three Ways Predictive Analytics Add Value to Manufacturers
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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.