Everywhere 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:
- What has happened or what is happening? This type of analysis is called descriptive.
- Why did something happen? This type of analysis is called diagnostic.
- What will happen? This type of analysis is called predictive.
- 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 with 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 continue reading…
Statistical Analysis System (SAS) is an integrated system of software products provided by SAS Institute Inc.,
The most common description of statistics is that it’s the process of analyzing data – number crunching, in a sense. But statistics is not just about analyzing the data. It’s about the whole process of using the scientific method to answer questions and make decisions. That process involves designing studies, collecting good data, describing the data with numbers and graphs, analyzing the data, and then making Decisions / conclusions. All these can be accomplished by using SAS software.
The SAS system is a powerful software program designed to give researchers a wide variety of both data management and data analysis capabilities. Although SAS has millions of users worldwide.
SAS is the world’s leading analytical and business intelligence software provider. SAS solutions are used at more than 40,000 sites – including 96 of the top 100 companies on the FORTUNE Global 500. In today’s challenging business environment, it has never been more important for SAS professionals to get qualified.