4 strategic uses of analytics


Every where you turn today, you run into analytics. If you talk about big data, you will talk about analytics, if you talk about the internet of things (IoT), you will talk about analytics, if you talk about automation ... well, you get the picture.

When used properly, analytics has always provided a strategic advantage, but why?  Because analytics helps answer these four important questions:

  1. What has happened or what is happening? This type of analysis is called descriptive.
  2. Why did something happen? This type of analysis is called diagnostic (sometimes referred to as root cause analysis).
  3. What will happen? This type of analysis is called predictive.
  4. What is the best that can happen? This type of analysis is called prescriptive.

Many traditional business intelligence (BI) offerings can deliver descriptive reporting. A few BI offerings can deliver descriptive and diagnostic reporting -- and a couple even provide descriptive, diagnostic and predictive reporting, but very few provide all four types of reporting capabilities.

Fewer still can provide you with the adaptive, open, integrated and powerful processing environment you need to get real-time results on any sized data you chose to run -- and include the ability to move your insights into a production environment in a well-governed, documented, and repeatable way.

I'm fortunate to work for SAS, a company that's been providing this type of strategic value in partnership with our customers for over 40 years and counting. If you want to see for yourself, try just one of our solutions that provide all of these capabilities: SAS Visual Statistics.

Learn even more about SAS (directly from SAS users) at SAS Global Forum, April 2 - 5 in Orlando, FL.


About Author

David Pope

Technical Leader, Senior Manager US Energy

David leads the pre-sales technical team for SAS US Energy which solves business problems in the Oil & Gas and Utilities industries using advanced analytics. He is a lifetime learner who enjoys sharing information and helping others to grow their careers. He earned a BS in Industry Engineering and a Computer Programming Certificate from North Carolina State University. Furthermore, he has over 29 years of business experience working with SAS across R&D, IT, Sales and Marketing in the Americas and Europe. He is an expert in working with data and producing insights through the use of analytics. David has presented at SAS Global Forum, the 2012 SAS Government Leadership Summit, IBM’s Information on Demand(IOD), EMC World, CTO Summit Conferences, is the author of the book: "Big Data Analytics with SAS", and he currently holds 14 patents for SAS in several countries: US, CA, Norway, UK, China, Mexico, and Hong Kong.

Leave A Reply

Back to Top