July 2016
Beginner to intermediate
396 pages
7h 17m
English
book
Mastering Business Intelligence with MicroStrategy
by Dmitry Anoshin, Himani Rana, Ning Ma, Neil Mehta
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Data mining overview
In MicroStrategy, predictive analysis is a subset of Data Mining Services; we cannot do predictive analysis well without knowing the basics of data mining. In this section, we will learn some basics.
Purpose of data mining
The purpose of data mining is to discover useful information from the data, to help us make better business decisions. Data mining is also about automation, reusable methods, and time saving. We want to implement a pre-built model into our database and automate the use of mathematical and statistical processes to predict future outcomes, in short, to build an automated predictive mechanism. Examples include instant credit scoring, fraud detection, marketing campaign management, interactive marketing, market ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.