10 steps to designing an industrial data architecture
Modern manufacturers are producing massive amounts of data every day, but without the tools and capabilities to make it useful, they are sitting on mountains of untapped potential.
The problem is, it takes more than data accessibility to fulfill a business need. Industrial data is raw, and to maximize its value for your organization, you must be able to make the data fit your specific needs – and at scale.
In this interactive workbook, you’ll discover 10 steps accompanied by some brief questions that are designed to help industrial leaders learn how they can leverage data engineering strategies to get the most out of their data. Read on to learn how you can unlock hidden business value.