Book Image

Microsoft Tabular Modeling Cookbook

By : Paul te Braak
Book Image

Microsoft Tabular Modeling Cookbook

By: Paul te Braak

Overview of this book

Business Intelligence Semantic Models (BISM) is a technology that is designed to deliver analytical information to users through a variety of mechanisms that include model structure, definition, and design. This book demonstrates how to create BISM models so that information can be presented to users in an intuitive and easy-to-use format. Once the model is defined, we also show you how it can be managed and maintained so that the data in it remains current and secure. Microsoft Tabular Modeling Cookbook is an all-encompassing guide to developing, managing, creating, and using analytical models using the Business Intelligence Semantic Model (BISM). This title covers a range of modeling situations and common data analysis related problems to show you the techniques required to turn data into information using tabular modeling. Microsoft Tabular Modeling Cookbook examines three areas of tabular modeling: model development, model management and maintenance, and reporting. This book is a practical guide on how to develop semantic models and turn business data into information. It covers all phases of the model lifecycle from creation to administration and finally reporting. It also shows you how to create models which are designed to analyze data. All sections of BISM modeling from development to management and finally reporting are covered. The sections on development examine a wide range of techniques and tricks required to build models, including moving data into the model, structuring the model to manipulate the data, and finally the formulas required to answer common business questions; all of these are discussed in this book in detail. Finally, the book examines methods of reporting on the data within the model, including the creation of data-driven workbooks and reports for a powerful end user experience.
Table of Contents (18 chapters)
Microsoft Tabular Modeling Cookbook
About the Author
About the Reviewers


The chapters that have been examined so far treat calculations as a point in time data. That is, some event or occurrence that occurs at a given point in time. Further, the modeling that we have looked at aggregates this data by other tables, which may be thought of as dimensions for analyzing the data.

The ability to manipulate this type of data by dates and date-derived types is one of the most common forms of analysis, and includes a variety of different types of calculations. The most basic form of this analysis is the concepts of trending, and the comparative questions that arise regarding performance against prior periods. This type of analysis always includes the concept of date, and the business implications of a date aggregation (such as month to date value, year to date value, balance to date value, and running balances). Common performance metrics includes trending by time and comparatives to prior periods.

The recipes in this chapter examine how to manipulate and create...