The real value of analytics lies in discovering and interpreting insights hidden in your data. Unfortunately, the task of preparing data for analysis can consume a great deal of time – up to 80 percent of the time spent on a typical project, some studies show.
To learn how to avoid spending such a large portion of your time just preparing to perform analysis and get to the value-added phase sooner, attend this complimentary Espresso Shot Web Seminar, Minding Data before Data Mining: Successful Data Preparation. You’ll learn new techniques for speeding through data preparation – without sacrificing the reliability of your results. You’ll hear how you can:
- Clean up "dirty" data in a few easy steps
- Keep outliers or other anomalies from skewing your data…and your results
- Impute values for missing data using proven, reliable techniques
- Automate data preparation while maintaining a clear, detailed view of your data
Presenting the Web seminar will be Kyle Weeks, PhD, director of product management at SPSS, an IBM Company. Weeks has more than 15 years or experience managing the IBM SPSS Statistics suite of products for statistical analysis and will share valuable insights that will help you move more quickly and confidently through the first, critical stage of your analysis.
Speakers:
Kyle Weeks, PhD, Director of Product Management, SPSS, an IBM Company
Eric Siegel, Ph.D., President, Prediction Impact, Inc.
