Are you gathering and storing every bit of data you can, then utilizing artificial intelligence (AI), machine learning and data science to extract actionable insights?
With the constant flow of data from devices, controllers, historians, databases and industrial computers, it’s easy to amass too much data – and that can make the time to value (and the cost for storing) significant.
While Big Data has dominated the digital transformation discussion, there’s a different (and more manageable) approach: Smart Data.
Smart Data Management To extract the right data for the right insights:
First, identify the desired business outcomes from the data. Then, leverage the knowledge of domain experts to select the most likely data that drives these business outcomes. Finally, match the appropriate data processing and analytics to processing data for business value.