Book Image

Mastering Business Intelligence with MicroStrategy

By : Dmitry Anoshin, Himani Rana, Ning Ma, Neil Mehta
Book Image

Mastering Business Intelligence with MicroStrategy

By: Dmitry Anoshin, Himani Rana, Ning Ma, Neil Mehta

Overview of this book

Business intelligence is becoming more important by the day, with cloud offerings and mobile devices gaining wider acceptance and achieving better market penetration. MicroStrategy Reporting Suite is an absolute leader in the BI market and offers rich capabilities from basic data visualizations to predictive analytics. It lets you various delivery methods such as the Web, desktops, and mobiles. Using real-world BI scenarios, this book helps you to implement Business Analytics solutions in big e-commerce companies. It kicks off with MicroStrategy 10 features and then covers schema design models and techniques. Building upon your existing knowledge, the book will teach you advanced techniques for building documents and dashboards. It further teaches various graphical techniques for presenting data for analysis using maps, graphs, and advanced charts. Although MicroStrategy has rich functionality, the book will show how to customize it in order to meet your business requirements. You will also become familiar with the native analytical functions that will help you to maximize the impact of BI solutions with powerful predictive analytics. Furthermore, the book will focus on MicroStrategy Mobile Analytics along with data discovery and desktop capabilities such as connecting various data sources and building interactive dashboards. The book will also uncover best practices, troubleshooting techniques for MicroStrategy system administration, and also security and authentication techniques. Lastly, you will learn to use Hadoop for MicroStrategy reporting. By the end of the book, you will become proficient in evaluating any BI software in order to choose the best one that meets all business requirements.
Table of Contents (18 chapters)
Mastering Business Intelligence with MicroStrategy
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface

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 basket analysis, failure rate prediction, and so on.

Limitations of data mining

First, data mining reveals patterns, but we are responsible for deciding how valuable these patterns are. Second, data quality affects model quality; poor data will produce...