One of Xplenty's most rewarding features is its ability to enact low-code and no-code digital transformation. Even with no experience in ETL or data integration, non-technical users can take advantage of Xplenty’s intuitive drag-and-drop interface to build robust, complex data pipelines to a data warehouse or data lake in the cloud.

Simply put, a lot of effort is going into creating dashboards that the intended audience don’t even look at. The main purpose of a dashboard is to communicate business data in a visual form that highlights to the reader what is important, arranges it for clarity and leads them through a sequence that tells the story best so they can make better data-led decisions. Design and an understanding of how humans make decisions exist to assist this purpose.

Let’s get this out of the way: To understand the much discussed ’death of the dashboard' proclamation, the phrase needs to be viewed under a different lens beyond the literal. Firstly, it's not a new concept at all: Yellowfin have been saying it for years. The problem is in the current confusing interpretation around what it means for business intelligence. In short, dashboards aren’t actually dying, nor is their usefulness for certain users spent.

Data flows are an integral part of every modern enterprise. No matter whether they move data from one operational system to another to power a business process or fuel central data warehouses with the latest data for near-real-time reporting, life without them would be full of manual, tedious and error-prone data modification and copying tasks.