Here I am in the USA, attending the event Gartner Business Intelligence and Analytics Summit, in Grapevine – Texas. I know it has been a long time since my last post, but inspired by this event, I decided to free up (again) the blogger inside me and write a short and (hopefully) not-boring summaries every day. Trying to get more audience, I’m using my far-from-perfect english to write this post… hope you don’t mind.
Today was day 0. Yes, that’s right. The event starts tomorrow, but we had a couple of presentations today for the brave ones. They said that those two presentations were basic ones, just to set a common vocabulary up.
Well, and here is it. They presented a “Business Analytics Framework” a little bit complex, but the main takeaway is that we should see BI&A in four different perspectives:
- Descriptive: what is you bussines problem? What what is your strategic plan? What happened?
- Diagnostic: what data do I have that is relevant? What data do I need to gather or buy? Why did it happen?
- Predictive: based on what I know, what is likely to happen? What are the hypothesis behind my data?
- Prescriptive: what should I do about it? How can I implement the hypotheses?
“Traditional BI” (and the first presenter – Jamie Popkin – started his presentation saying that traditional data warehouse and reporting analysis are dead) is the first two ones: Descriptive and Diagnostic. What they are seeing now and in the future is investments on the later ones: Predictive and Prescriptive.
One example Jamie mentioned about prediction and prescription. He said that during the last Vallentine’s day, he was shopping flowers on-line. He was putting some itens into his shop cart, but never completing the order. Suddenly, he received an email from the e-store offering him 15% off. So, after that, he came back to the store and finally put his order. Notice that the e-store predicted that he was likely to buy but was in doubt and than, as a prescription, offered him an extra discount. That’s we are talking about! On-line and real-time business intelligence.
That’s it! I’m expecting to hear a lot about prediction and prescription in the further sessions. Getting into details. I’ll share with you.
Let me get some sleep because tomorrow the event starts and 7am (that’s right!).