What will you learn?
SAP Predictive Analytics: The Comprehensive Guide will help make predictive analytics less murky. Don’t have SAP Predictive Analytics set up yet? Not a problem—the book walks you through the process, from server to desktop. Plus, see how to install SAP Predictive Analytics on Hana to take advantage of a powerful combination of solutions.
Once you’re ready to start making predictive models, the book is full of helpful information on setting them up. Take a look at regression, time series forecasting, clustering, and more.
See what kinds of tools are available to make your job even easier. One of our favorites? Social Network Analysis. Other highlighted tools? Automated Modeler, Data Manager, and Predictive Factory. See how to continuously control model quality, and explore advanced data prep techniques. And of course, see what these models mean and how you can make better business decisions with them.
You can also follow along with a downloadable dataset on the SAP Press website. This ties in to the book’s biggest benefit, which is that it includes step-by-step instructions for each of the workflows. Put into practice what you’re learning—and then repeat the process with your own data!
Other highlights include:
- Classification models
- Automated Analytics
- Expert Analytics
- Integration with SAP and third-party apps
Who is this book for?
The book’s 491 pages cover not only SAP Predictive Analytics, but introduce the concept of predictive analytics in an easy-to-understand way. For those reasons, project leads working on predictive projects, data analysts, data scientists, and students will all find this book helpful.
Authors Antoine Chabert, Andreas Forster, Laurent Tessier, and Pierpaolo Vezzosi bring decades of SAP knowledge to this book, and the fact that they all work for SAP only strengthens this project as they’re at the forefront of the solution’s innovation.
The authors make it clear that you don’t need to be a math wizard to understand what they’re talking about, which we found extremely helpful. There are explanations of the math behind processes, but these are included as nice addendums and aren’t necessary to the reading.