In the second installment of this new Webcast series, we’ll help you with the exploratory analysis stage that so many find frustrating and time-consuming.

Tune in and you’ll come away with a time-saving, straightforward process that will streamline the “slicing, dicing and simmering” stage – leaving you with spare time to concentrate on your most complicated business problems.

Don’t miss this Webcast, especially if you find yourself daunted by the challenge of organizing your data for analysis.

What will we cover?

• How to explore your data to determine the “right” target to predict and which attributes might be relevant to that target variable.
• How to filter and transform your data so that it will be more meaningful in your modeling efforts. 
• How to replace missing values.
• How to select the most important variables to be used in modeling.
• Key sampling and partitioning strategies that ensure the models are representative of the population of interest.
• Other types of exploratory analyses, such as association and clustering.
• Text mining to handle unstructured data.

Key takeaways

You will learn:

• How to think through the business objective while exploring the data – so you can develop an approach to data organization that makes the modeling process easier.
• Why data sampling and partitioning matter.
• How to leverage filtering, imputations and transformations of your data.
• How to organize your data with one comprehensive interface to ensure that you end up with the best model possible.

Don’t miss this smorgasbord of information on how to organize your data for the predictive analytics process!

Questions? Contact Buffie Silva at Buffie.Silva@sas.com or (919) 531-0345.