When it comes to data analytics, most organizations have historically focused primarily on descriptive and diagnostic capabilities. Descriptive analytics explains what is happening in an IT system and uses analysis levers including trending, mining patterns, and detecting changes and anomalies. This interesting news came to us from BetaNews in their article, “Advances in predictive analytics expand organizational data intelligence.”
Descriptive analytics is the initial and fundamental stage of data analysis, in which historical data is combed for insights. It focuses on summarizing, organizing, and presenting data in a way that is easy to understand and interpret. Through access to past events and trends, businesses and their analysts gain a better understanding of their data and are better enable to make informed decisions.
Analytics serves as the backbone of data driven strategies, transforming raw data into actionable insights that guide decision-making, innovation, and growth.
In all circumstances, content needs to be findable, and the best first place to start is by using a strong, standards-based taxonomy. Data Harmony is our patented, award winning, artificial intelligence (AI) suite leveraging explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts. We help you find the information you need when you need it.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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