6 differences between business intelligence and business analytics
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What Does “Business Analytics” Mean?
BA is a catch-all expression for approaches and technologies you can use to access and explore your company’s data, with a view to drawing out new, useful insights to improve business planning and boost future performance.
Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future.
What About “Business Intelligence”?
BI is also about accessing and exploring your organization’s data. And, again, the ultimate goals are to better understand how the business is doing, make better-informed decisions that improve performance, and create new strategic opportunities for growth.
But on the whole, BI is more concerned with the whats and the hows than the whys.
BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining, online analytical processing (OLAP), and reporting as well as business performance monitoring, predictive and prescriptive analytics.
In other words, both BI and BA are tackling the same problems, but if you’re working with masses of raw data, you want extensive control over how you use that data, and you want to draw out your own interpretations and conclusions from the numbers, the tools and techniques you use will likely fall under BI, rather than BA.
BA is a catch-all expression for approaches and technologies you can use to access and explore your company’s data, with a view to drawing out new, useful insights to improve business planning and boost future performance.
Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future.
What About “Business Intelligence”?
BI is also about accessing and exploring your organization’s data. And, again, the ultimate goals are to better understand how the business is doing, make better-informed decisions that improve performance, and create new strategic opportunities for growth.
But on the whole, BI is more concerned with the whats and the hows than the whys.
BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining, online analytical processing (OLAP), and reporting as well as business performance monitoring, predictive and prescriptive analytics.
In other words, both BI and BA are tackling the same problems, but if you’re working with masses of raw data, you want extensive control over how you use that data, and you want to draw out your own interpretations and conclusions from the numbers, the tools and techniques you use will likely fall under BI, rather than BA.
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