In our personal life as well as professional ones, we are being inundated with an increasing amount of data. While this might just prove to be a minor inconvenience in most cases, if such huge amounts of data is not managed properly at the business level, the long term
Data quality, data governance, and material master data management are what I generally talk about in these posts, because that is what I know (duh!). However, in the past year, one term related to data has become extremely popular and has become a part of our lexicon. It is being
Data quality is no longer something that any organization can avoid or put on the back burner. With all data being considered as assets, it is critical to ensure data credibility at every stage of processing. Today we tell you about the errors that can creep in your data and
In the last post, we talked about data quality, specifically as it relates to purchased parts and products. One important dimension to data quality, which is being talked about these days is data credibility. Let us see what it means and entails and how you can ensure it becomes
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