Infographic: Business Analyst vs. Data Scientist

Business Analytics vs. Data Science

“Business analytics” and “data science” — are they basically interchangeable terms, or entirely separate professional pursuits? There’s certainly overlap on the topic of Big Data and using data to inform decisions. There is no dispute over the fact that both business analysts and data scientists use exponentially growing sources of data to do their work. [Check out PARIS Tech’s recent post on Big Data]

An article and featured infographic by Angela Guess for Dataversity.net argues that the terms business intelligence and data scientist are distinct, and not just because one pursuit applies to business, and the other to scientific results.

infographic-business-analyst-vs-data-science

Click below to read the original article which accompanies the business intelligence vs. data scientist infographic.

Infographic: Business Analytics v. Data Science

 

[Infographic] Business Analytics : The Intersection of Science and Business

What is Business Analytics?

Science and business continue to intersect, most recently on the topic of data analytics. Generally speaking, “data analytics” is the process of organizing and interpreting data to uncover valuable information. “Business [data] analytics” is the more specific application of data analytics to business purposes.

Some examples of data analytics might be: What segment of customers use desktop v. mobile? Or, which target audience found value in the most recent advertising campaign? Companies ranging from Target to Google find results from these kinds of questions so valuable that they pay data analysts over $100,000 per year. To learn more about the burgeoning data analytics industry, check out this educational resource, created by Villanova University’s Master of Science in Analytics program.

Infographic-Business-Analyticshttp://taxandbusinessonline.villanova.edu/resources-business/infographic-business/the-intersection-of-science-and-business.html

Infographic: 6 Business Intelligence Best Practices

Be Mindful to Keep these Practices throughout your Business Intelligence Project

Getting Business Intelligence Best Practices to work well is challenging.  Check out the 6 best practices outlined in this Infographic. Check it out and see how your organization stacks up. It’s easy to think that bigger is better, or assume you need to start from scratch. Actually its about having BI policies in place, keeping everyone on the team involved, having a clear scope, and making sure everyone is trained up well.

It is also important for a Business Intelligence project to have an analytics model that reflects the organization.

Infographic: Why BI is Key for Competitive Advantage

A great infograhic from the Master of Science in Computer Information Systems program at Boston University.  The BU researchers focused on: growth of business intelligence, management of data, decision-making and budgeting.  Enjoy!

 

BU-BusinessIntelligence-Is-Key

{Originally posted here}