Making Sense of Product Data
May 3, 2012
As more and more industries are faced with holding the responsibility of their products throughout its entire lifecycle the problem of big data is becoming much more common than ever before. A recent Enterprise Efficiency article, “Data Gold in Product Information”, examines the issues facing enterprises in regards to product lifecycle management (PLM) and the resulting data.
According to the article,
“PLM encompasses a number of systems often thought of as discrete processes, including product design, system engineering, product portfolio management, and manufacturing process management, all wrapped within product data management (PDM). For CIOs, each of these represents a significant store of intellectual property…The question is, what are you doing to make this data work for its living? Have you yet begun applying big-data business analysis techniques to the massive stores of unstructured (and structured) data sitting in the PDM repositories?”
This simple call to action has been echoing across industries for a few years now and it does not appear to be fading. Companies must realize that data is only growing and as more processes become connected the need to make sense of it all will only grow. Thankfully, PLM solutions are available for companies of all sizes. Quality data management solutions are the only way for companies to gain control of their data and begin using it to advance their goals.
Catherine Lamsfuss, May 3, 2012
Comments
-
- Subscribe to Beyond Search
Feature archive
News archive
-
