Book Image

SQL Server Analysis Services 2012 Cube Development Cookbook

Book Image

SQL Server Analysis Services 2012 Cube Development Cookbook

Overview of this book

Microsoft SQL Server is a relational database management system. As a database, it is a software product whose primary function is to store and retrieve data as requested by other software applications. SQL Server Analysis Services adds OLAP and data mining capabilities for SQL Server databases. OLAP (online analytical processing) is a technique for analyzing business data for effective business intelligence. This practical guide teaches you how to build business intelligence solutions using Microsoft’s core product – SQL Server Analysis Services. The book covers the traditional multi-dimensional model which has been around for over a decade as well as the tabular model introduced with SQL Server 2012. Starting with comparing MultiDimensional and tabular models – discussing the values and limitations of each, you will then cover the essential techniques for building dimensions and cubes. Following on from this, you will be introduced to more advanced topics, such as designing partitions and aggregations, implementing security, and synchronizing databases for solutions serving many users. The book also covers administrative material, such as database backups, server configuration options, and monitoring and tuning performance. We also provide a primer on MultiDimensional eXpressions (MDX) as well as Data Analysis expressions (DAX) languages. This book provides you with data cube development techniques, and also the ongoing monitoring and tuning for Analysis Services.
Table of Contents (19 chapters)
SQL Server Analysis Services 2012 Cube Development Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

The business value of Business Intelligence


"Making better decisions faster" is a common phrase used to describe the purpose of BI, but understanding how this purpose translates into value for the business is the key in understanding why and how BI should be implemented.

Making better decisions is valuable for the strategic management of an organization; making those decisions faster is possibly better, but strategic decisions tend to have longer time frames. So, faster is often not always better or even necessary. Making better operational decisions faster, given the much higher frequency and shorter decision time frame, is of great value to the business. For this discussion we'll focus on this less often considered operational value of BI.

Operational decisions are made every day by people at all levels in the organization. The nature of these decisions vary greatly, including things such as troubleshooting and resolving a specific question, finding a more efficient process for performing a task, or determining an appropriate staffing level for the coming week.

Regardless of the specifics, operational decisions are generally concerned with improving efficiency, increasing productivity, improving quality of the product, or lowering cost. BI can provide the information necessary to identify opportunities for improvement in these areas as well as to make informed decisions on how to implement these improvements. But, the greatest value is realized only when that information is of high quality and is available when needed. Poor quality or late information makes for poor quality or late decisions.