Projects are carefully planned endeavors that involve one or more individuals engaging in tasks that are designed to accomplish particular aims or goals. Most organizations engage in projects in one form or another. For example, an organization may wish to redesign its website. Often, this becomes a project with specific tasks designed to ensure that the website is redesigned and deployed on time and within a specific budget. Being carefully planned, projects have an array of metrics and KPIs that project managers find critical to their role: keeping project expenses within specified budgets and reaching the goals of the project within specified timelines. This chapter is all about how to calculate many of these key metrics and KPIs. By calculating and tracking these project metrics and KPIs, project managers can identify projects at risk of exceeding...
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Table Of Contents
DAX Cookbook
By :
DAX Cookbook
By:
Overview of this book
DAX provides an extra edge by extracting key information from the data that is already present in your model. Filled with examples of practical, real-world calculations geared toward business metrics and key performance indicators, this cookbook features solutions that you can apply for your own business analysis needs.
You'll learn to write various DAX expressions and functions to understand how DAX queries work. The book also covers sections on dates, time, and duration to help you deal with working days, time zones, and shifts. You'll then discover how to manipulate text and numbers to create dynamic titles and ranks, and deal with measure totals. Later, you'll explore common business metrics for finance, customers, employees, and projects. The book will also show you how to implement common industry metrics such as days of supply, mean time between failure, order cycle time and overall equipment effectiveness. In the concluding chapters, you'll learn to apply statistical formulas for covariance, kurtosis, and skewness. Finally, you'll explore advanced DAX patterns for interpolation, inverse aggregators, inverse slicers, and even forecasting with a deseasonalized correlation coefficient.
By the end of this book, you'll have the skills you need to use DAX's functionality and flexibility in business intelligence and data analytics.
Table of Contents (15 chapters)
Preface
Thinking in DAX
Free Chapter
Dealing with Dates and Calendars
Tangling with Time and Duration
Transforming Text and Numbers
Figuring Financial Rates and Revenues
Computing Customer KPIs
Evaluating Employment Measures
Processing Project Performance
Calculating Common Industry Metrics
Using Uncommon DAX Patterns
Solving Statistical and Mathematical Formulas
Applying Advanced DAX Patterns
Debugging and Optimizing DAX
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