Organizations are inundated with vast volumes of information from diverse sources. While this data has the potential to provide valuable insights and drive strategic decisions, its true value can only be unlocked if the data is accurate, consistent and reliable. This is where data cleansing, an essential process in data management, plays a crucial role. Data cleansing not only improves the quality of data but also significantly impacts data governance. This interesting topic came to us from Silicon ANGLE in their article, “AI data cleansing takes center stage in evolving data governance landscape.”
Data cleansing involves identifying and correcting inaccuracies, inconsistencies and errors in data sets. This process includes removing duplicate records, correcting errors, standardizing data formats and filling in missing values. By ensuring that data is accurate and consistent, data cleansing enhances the reliability of the data used for analysis and decision-making.
Organizations that prioritize data cleansing as part of their data governance strategy are better positioned to harness the full potential of their data, driving business success and maintaining a competitive edge in the data-driven world.
Data Harmony is our patented, award-winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts, to help you find the information you need when you need it.
Melody K. Smith
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