How do you Define Quality Data

By “quality data” – it means clean, organized, actionable data from which to extract relevant information and insight: Data quality does not end with managing the incorrect entry of information, but the logic of data has to be taken into account too. You can walk through all the various dimensions of data quality such as accuracy, consistency etc, but business context is indeed a very important perspective. Data can be accurate, consistent, timely, but data can also be shared among many different business groups, it can be transformed, aggregated, derived for various business needs, each with possibly their own views on what the expected definition and quality of the data should be
Data Quality doesn’t mean perfect data but means “good enough” data: Data cleaning and data management has a deep business purpose to turning data into information, the business side of making sense of the raw data, adding value and augmenting business systems. This is where the organizations that understand this true nature will really begin to see huge value gains. In short, Data Quality doesn't mean you pursue the perfect data, but the good enough data being transformed into useful information, business insight, and human wisdom.

Quality data is like the Holy Grail, businesses all want to achieve it; but not sure if it’s very doable: Business operates in the real world, and the real world is muddy and chaotic. Organizations need tools that deal with muddy and chaotic data, not a focus on making the data adapt to somewhat weaker tools. All data, from wherever it comes, is legitimate and reflective of the systems that provide it. As such, the data reveals deep and essential truths about not only the business domain it covers but also about the systems that capture it. it, you will not be able to understand the performance of your company or measure it without good quality data. The beauty of data is not for it’s own sake, but to capture the customer’s insight or the business’s foresight from it. Follow us at: @Pearl_Zhu
Published on February 05, 2016 23:09
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