Business Intelligence Data Enablement Risk Uncertainty 
Jet Global
OCTOBER 8, 2020
Modern business intelligence (BI) tools can result in inefficiencies too. Report data can often be at least a day old when it arrives in the tool, or are at too high a level of aggregation, preventing finance teams from obtaining a complete view of the numbers at crucial intervals during the close cycle.
Sisense
OCTOBER 6, 2020
These programs and systems are great at generating basic visualizations like graphs and charts from static data. The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? You have to be able to work with both kinds of data in order to unlock the most comprehensive insights.
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