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How thin is the line between business intelligence and business analytics applications?
Business analytics is big right now. As with many new popular technology trends, there is a potential for existing conventions to lay claims to the newer conventions (I'm being very diplomatic here). Have you seen business analytic stickers being slapped on business intelligence applications/products? What is required to upgrade/morph/evolve (take your pick) an existing business intelligence application for it to be considered a 'valid' business analytics application?
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8 Answers
This is an interesting question Steven, and I'm not sure I have an answer. I agree that we tend to tweak the product labels/classifications to create new market opportunities. Or, as we often see, everybody jumps on the bandwagon and slaps the sticker on their website after the fact as you suggest.
I guess I don't see a huge difference between the two. Seems to me that business analytics would lead to (feed) business intelligence. The old "data to knowledge to wisdom" progression. But that's about all I can offer at this point, so really interested to see the other answers from the Focus community.
There is a lot of confusion in the market because there are almost as many definitions as vendors or experts.
The following terms are frequently used interchangeably: Analytics, Business Analytics, Predictive Analytics, Business Intelligence, Data Mining, Pattern Based Analytics. These terms have evolved in the last 10 years and their meaning expanded with the advances in technology.
Not to add to the confusion, I think that Business Analytics is an all-encompassing name for a new discipline resulting from the integration of Business Intelligence and Predictive Analytics. BA not only includes the classic Business Intelligence functions of reporting what happened, drill-down to how it happened, find out the cause of why it happened and alert management as soon key metrics move in the wrong direction.
In addition, BA includes a highly sophisticated subject called Predictive Analytics that can be defined as Advanced Computational Statistics. It uses large cleansed historical data sets to look forward. Specifically, Predictive Analytics finds patterns in the data to forecast what has a high probability to happen in the future.
BA applications include operational intelligence, reporting, strategic and competitive analytics, customer acquisition and retention, risk management, fraud detection sentiment analysis and demand driven forecasting among others.
Regards, Bill
http://blog.strat-wise.com
How thin is the line between BI and BA? If I may be provocative... what line???
Business Intelligence has always been a broad church. As has probably every generic term invented in IT, promulgated by analysts and grabbed by vendors. And I haven't seen a single term or benefit attributed to BA (and now, indeed, big data) that hasn't previously been used in the context of BI at some stage. From a slightly cynical viewpoint, business analytics is simply marketing hype.
On a very practical level, the important thing to note is that two important trends are converging at the moment. One is the need for very current data. The second is an enormous explosion in data from unreliable / unverifiable / external sources. Together, these trends mean that the traditional data warehousing architecture where all data must be funnelled through and cleansed in the EDW is being circumvented regularly. So now we need to look to two distinct types of "decision support" -- one requiring cleansed, quality and consistent data (for financial reports and such like) and the other being very loose (for marketing and similar needs). If you want to call one BI and the other BA, be my guest. But, I suspect it won't stick!
This is a great question Steven. In some sense to me BI and BA are one in the same. Information/analytics which allows an enterprise to gain knowledge as well as improve processes. What is changing very rapidly is the internal silos/walls which separated the functions and make BI belong to a small group within a company vs now where many have access to information, can extract information and improve processes. I expect that we will blend these terms and have many more 'data scientists' within enterprises that deal with 'data'. Fundamentally we deal with data to get information which is either BA or BI, so either is cool, but I am simply thrilled that we are changing the playing rules and opening the silos. that is making many super uncomfortable, and that is where cloud is awesome as we are pushing the control from the hands of a few and accessible to many. what do you think?
... I've been working in the BI business most of last 10 years for large scale companies and banks ended up with my own BI company ... so from the very practical point of view BA is just one branch of BI.. Conceptually, BIIC (business intelligence integration cycle) has four facets, Measurements, BA, Planing and then Improvements. From other angel, BI is an umbrella of BA, Alerts, BSC, BPI, ... etc. BI is whatever you do to business to turn it to IB!! ...
Both BI and BA are subsets of computerized decision support. Vendors and consultants do not agree on the categories. You may be interested in two of my columns:
How do predictive analytics support decision making? at URL http://dssresources.com/faq/index.php?action=artikel&id=239
What is business intelligence? at URL http://dssresources.com/faq/index.php?action=artikel&id=4
This is one awesome thread ... another tool to assist me with my dissertation! May I have your permission to cite you as my references? :)
Lisa, please, feel free to cite my comments as well as the material in my blog and website as you wish.
Regards, Bill
http://blog.strat-wise.com
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