Using Data Modeling in a Meaningful Way

Data is changing the way the world functions. It can be a study about disease cures, a company’s revenue strategy, efficient building construction or those targeted ads on your social media page. Either way, it is all due to data. Solutions Review brought this subject to our attention in their article, “Is Data Modeling Dead? Is Data Modeling Dead? The Answer May Surprise You.”

Good data allows organizations to establish baselines, benchmarks and goals to keep moving forward. In order for data to allow this measuring, it has to be organized through data description, data semantics and consistency constraints of data. A data model is this abstract model that allows the further building of conceptual models and to set relationships between data items.

At its core, data modeling is the organization of an enterprise’s data and the creation of models that make it easy for its users to consume in a meaningful and consistent way. However, the chaos attending the use of data models has affected the delivery of expected results as the metrics employed by business users are often ambiguous and unaligned.

Data Harmony is a fully customizable suite of software products designed to maximize precise, efficient information management and retrieval. Our suite includes tools for taxonomy and thesauri construction, machine aided indexing, database management, information retrieval and explainable artificial intelligence.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, changing search to found.