Business Intelligence and Data Science: There Is a Difference
October 6, 2015
An article at the SmartDataCollective, “The Difference Between Business Intelligence and Real Data Science,” aims to help companies avoid a common pitfall. Writer Brigg Patton explains:
“To gain a competitive business advantage, companies have started combining and transforming data, which forms part of the real data science. At the same time, they are also carrying out Business Intelligence (BI) activities, such as creating charts, reports or graphs and using the data. Although there are great differences between the two sets of activities, they are equally important and complement each other well.
“For executing the BI functions and data science activities, most companies have professionally dedicated BI analysts as well as data scientists. However, it is here that companies often confuse the two without realizing that these two roles require different expertise. It is unfair to expect a BI analyst to be able to make accurate forecasts for the business. It could even spell disaster for any business. By studying the major differences between BI and real data science, you can choose the right candidate for the right tasks in your enterprise.”
So fund both, gentle reader. Patton distinguishes each position’s area of focus, the different ways they use and look at data, and their sources, migration needs, and job processes. If need to hire someone to perform these jobs, check out this handy clarification before you write up those job descriptions.
Cynthia Murrell, October 6, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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Business Intelligence and Data Science: There Is a Difference : Stephen E. Arnold @ Beyond Search
Great information. Lucky me I came across your site by chance (stumbleupon).
I’ve book-marked it for later!