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Working With “Bad” Pricing Data

How to Make Meaningful Progress with Inaccurate and Incomplete Datasets

When working to become a more data-driven pricing function, data quality is an obvious concern. After all, the saying "garbage in, garbage out" is more than just a clever turn of a phrase; it's actually pretty accurate. But in most commercial operations, there are so many moving parts that getting to a place where we're always working with a perfectly accurate and complete dataset just isn't very realistic. So we've got to figure out how to do the best we can with the data we've got...while minimizing risk and avoiding mistakes. In this on-demand webinar, you'll learn about:

  • Working with others to institutionalize better data-handling processes and procedures in your organization.
  • Getting beyond conventional wisdom to embrace more productive and realistic perspectives on data accuracy.
  • The ins and outs of setting up a dedicated and relatively "clean" data repository for pricing purposes.
  • A variety of strategies and tactics for data cleansing, transformation, setting proper expectations, and so on.

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