Data visualization is translating information into a visual context, such as a map or graph, to make data easier for the human brain to understand and pull insights from. The main goal is to make it easier to identify patterns, trends and outliers in large data sets. CIO brought this interesting information to us in their article, “What is data visualization? Presenting data for decision-making.”

Organizations must quickly make sense of an enormous amount of information for business analysis, but data visualization literacy techniques help improve the speed and efficiency of these data-based decisions. Data visualization helps people analyze data, especially large volumes of data, quickly and efficiently.

It is important that enterprises need to take an organizational approach to cultivate data visualization competency across the organization to drive better business outcomes. This starts with setting up best practices and standards for data workflows so teams have transparency into how the insights are created, what data sources are used and what analytics methods and tools are used.

Data Harmony is Access Innovations’ artificial intelligence (AI) suite of tools that leverage explainable AI for efficient, innovative and precise semantic discovery of new and emerging concepts to help find the information you need when you need it.

Melody K. Smith

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

Sponsored by Access Innovations, changing search to found.