Visit the Predictive Analytics Resource Site
If you missed a session or want to share your knowledge with colleagues, the Predictive Analytics Resource Site is your one-stop resource for all things predictive analytics. Download white papers, gain access to session presentations, and view real-life videos of how predictive analytics helps transform organizations like yours.
Deepen Your Knowledge with Focused Learning Opportunities

Post conference training is a great way to supplement your learning at Business Analytics Forum. Discover how to maximize the value of your IBM SPSS products in small, hands-on classes taught by our professional instructors. Space is limited, so register early!
Registration for postconference training is separate from registering for the conference. During the postconference education registration process, you will be asked for your IBM Customer ID. To receive your ID number, call +1 888 426 4409 and ask to have your ID provided to you. This ID number should be entered to complete your registration
Sessions
Automated Data Mining with IBM SPSS Modeler – October 28 only
This class will show you how to use IBM SPSS Modeler to automate the building of predictive models. The course will show you how to build predictive models for customer behavior and build customer segmentation using various cluster models. You will learn how to read data from various sources and automatically prepare data for modeling using a variety of methods. Scoring new data using the model will also be discussed.
- Software: IBM SPSS Modeler, formerly Predictive Analytics Software (PASW) Modeler
- Duration: One day
- Level: Intermediate
- Who Should Attend: Anyone with little or no experience using IBM SPSS Modeler or of data mining in general.
- Prerequisite: None
Date: Thursday, October 28
Fee: $600 (special pricing for conference attendees)
Register for this course
IBM SPSS Data Collection Survey Reporter
After starting off by building simple, tabular reports, attendees will quickly move on to tables of increasing complexity and specificity, using different question types, statistical summaries, filters, weights and display rules. Attendees will learn how to manage, format and annotate the output and how to export to common Microsoft® Office applications. Day two covers more advanced tasks, including data merging, variable manipulation options, creating custom charts and building different table styles.
- Software: IBM SPSS Data Collection Survey Reporter (formerly PASW Reports for Surveys)
- Duration: Two days
- Level: Basic/Intermediate
- Who Should Attend: Researchers using IBM SPSS Data Collection Survey Reporter for analyzing survey data and data processing staff who prepare and produce reports.
- Prerequisite: A reasonable grasp of survey question types and previous analysis experience are a great help to attendees. Microsoft Office 2003 or 2007, for exporting reports.
Dates: Thursday, October 28 – Friday, October 29
Fee: $1,200 (special pricing for conference attendees)
Register for this course
Introduction to Statistical Analysis Using IBM SPSS Statistics
This is a practical introduction to the statistical component of IBM SPSS Statistics Base. We’ll look at several statistical techniques – when to use, setting up the analysis using IBM SPSS Statistics and interpreting the results. You will learn a broad range of techniques for exploring and summarizing data, as well as investigating and testing underlying relationships.
- Software: IBM SPSS Statistics (formerly PASW Statistics)
- Duration: Two days
- Level: Basic/Intermediate
- Who Should Attend: Anyone who has worked with IBM SPSS Statistics and wants to better understand basic statistical capabilities. This course targets those with limited or no statistical background and those who require a refresher.
- Prerequisite: Introduction to PASW Statistics and/or Data Management and Manipulation with PASW Statistics courses or experience with IBM SPSS Statistics (Version 15 or later), including familiarity with opening, defining and saving data files and manipulating and saving output. Basic statistical knowledge is also recommended.
Dates: Thursday, October 28 – Friday, October 29
Fee: $1,200 (special pricing for conference attendees)
Register for this course
