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

Four steps to achieve data mining in MicroStrategy


Typically, we follow four steps to perform data mining: creating a dataset, selecting variables, developing the model, and deploying the model:

Let us try doing some data mining and predictive analysis following these steps. Let's say we need to prepare a back-to-school marketing campaign by sending out promotional mail. Our resources are limited, so we want to reduce costs by sending only to those that are most likely to respond. We have customers' demographic information and their previous response records from the last campaign.

Creating a dataset

Suppose we have the following demographic information: Age, Education Level, Gender, and Household Count. In addition, we have the response records of the last campaign. In our data, the previous campaign shows 1,002 positive responses out of 5,612 customer orders:

Selecting variables

Selecting variables needs both domain expertise (experience) and statistics knowledge. We use our experience...