data notebook
Data Dashboarding Must Evolve or Face Irrelevance
Data visualization has become synonymous with business intelligence (BI) data dashboarding. But these dashboards have a weakness: They are only as good as the humans–and AI–that interpret it. For businesses to truly unlock their full operational efficiency potential, they must find a better way to translate data, operationalize metadata, and create more visually intuitive ways to build trust and extract value from the data. One of the reasons behind the lack of trust in the data stems from the absence of context around the numbers to make them useful, especially if the data is needed for a range of purposes, viewed by more than the dashboard creator. And more often than not, when the data isn't our own, we tend to distrust it.
Technology:
- Information Technology > Artificial Intelligence (0.69)
- Information Technology > Data Science > Data Mining (0.51)