Data visualization, a key method for business intelligence and analytics, assists companies with reviewing processes using a creative approach, and not just technical one, in order to understand the gaps and issues within their data.
As organizations move towards smart BI practices and implementing new strategies, they require a deep dive into the technical metadata and contextual information. Tools like data discovery and data lineage are key in finding and eliminating issues within various business intelligence tasks, however, these tools are only efficient if the information they relay is comprehensible.
Establishing data lineage is just the first step to learning how the data got to its current location. To be able to visualize its journey by tracking its movements is key for a quicker and more efficient understanding of the data. Typically, once analytics is presented visually, managers are able to hone in on the gaps and focus on the areas for improvement in the business.
With that said, it is only logical that businesses should utilize data visualization tools to gain insights and form proper tactical business decisions.
As we can see, with the ever-increasing amount of data, it is imperative to build effective visualization and present a strategy that is visually understandable to drive forward the company’s business intelligence and analytics efforts.