Early in my career I reported to the head of product development who realized the critical importance of data that originated with product engineering and design. He appointed me to lead the data function. Little did I realize that the role has become even more critical in manufacturing (and other) enterprises today.
I recently heard from my Datadobi PR contact who shared a copy of an announcement made later via the Datadobi blog with deep thoughts on current trends and requirements for data management. The news relates to a recently published IDC report.
IDC says a Data Mobility Engine Can Serve as the Core of an Effective Data Management Strategy
Research firm IDC predicts that, over the next five years, more than 80% of the data collected by organizations will be unstructured data, and that will only continue to grow 40-50% per year for most enterprises.
IDC’s Research VP of Infrastructure Systems, Platforms and Technologies Group Eric Burgener authored an IDC Analyst Brief, sponsored by Datadobi, titled “The Data Mobility Engine as the Foundation for an Efficient Data Management Strategy.”
In the analyst brief, Burgener urges organizations to implement a comprehensive data management strategy to confront this increasing influx of data, noting that a data mobility engine provides the foundation for an effective data management strategy and can drive significant benefits for the hybrid multicloud enterprise.
In his analysis, Burgener outlines the five main components of an effective data mobility engine, including the following:
1) Vendor-neutral interoperability
2) provide visibility into data metrics, access patterns, and usage activities
3) Orchestration and automation
4) Scan-optimize-copy capabilities
5) Integrity enforcement
Over the last several years at Datadobi, we’ve had more and more IT leaders come to us with concerns around data classification, data visibility, and organization-wide data accessibility, as well as how to handle aging data and the high costs that result from a fragmented data management strategy.
Finally, Burgener states in his report that “the benefits of an effective data management strategy include reduced IT costs, easier data sharing, better security, less legal exposure, and an improved ability to demonstrate governance and regulatory compliance.”