Some time ago I wrote an entry on the difference between Data Science and Business Intelligence: https://bit.ly/DataSciencevsBusinessIntelligence
I recently came across this quote:
“Advances are made by answering questions. Discoveries are made by questioning answers” —Bernard Haisch.
I think there is a relationship between this quote and that previous post.
In essence what I was attempting to say was that Business Intelligence is generally a process that your data flows through that enriches application Data and prepares it such that it can be used to answer questions. These questions may be simple:
I recently came across this quote:
“Advances are made by answering questions. Discoveries are made by questioning answers” —Bernard Haisch.
I think there is a relationship between this quote and that previous post.
In essence what I was attempting to say was that Business Intelligence is generally a process that your data flows through that enriches application Data and prepares it such that it can be used to answer questions. These questions may be simple:
- How many widgets did this business unit produce last quarter?
- How many did that business unit sell last quarter?
- Which sales person sold what percentage last quarter?
- What is the recurring cost of this Customer?
These are all important questions. However, this same data should be used as part of any predictive effort. If you are using different data for your data science efforts and your business intelligence efforts then as you chart new territory through Data Science, your Business Intelligence platform will assist in showing the value of the Data Science effort.
These two sides of a similar coin can and should be complementary.
Business Intelligence will drive your business forward, Data Science will show you the direction you should go.
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