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Effectively deploying Data Analytics

Presented by Charlie Holmes

Most companies are looking to data analytics as a way to provide their executives the transparency they need to run an agile, flexible and profitable business. At Kohl's, they are taking this one step further.

As a multi-brand organisation, their focus is brand clarity, brand alignment and customer-centricity. And data analytics lends itself nicely to this; by exploring, mining and developing existing data as well as incorporating new data from both their customers and their competitive industry at large, the hope is that they will gain true visibility across the corporation and in doing so better support effective decision making in the product development and innovation space. This session covers:

  • Examining all existing datasets and their accessibility
  • Re-evaluating how changes in data infrastructure might make business better
  • Exploring existing brand and customer profiles, and putting a data mining process in place with clear parameters
  • Understanding the team-specific siloed nature of data collection and re-building this
  • Building a data analytics team and fostering the right culture
  • Supporting a 'less-time mining, more-time decision making' policy
  • Creating a centralized data organization that is visually presentable and circles back to innovation
  • Supporting competitive product development through analytics
Charlie Holmes, Kohl's
Charlie Holmes

VP, Product Development Analytics & Operations, Kohl's

Charlie Holmes is VP, Product Development Analytics & Operations at Kohl's Department Stores, a position he has held since 2009. In this role Charlie is tasked with driving revenue growth, delivering business efficiency improvement and fostering strategic decision making. Before then, Charlie was with Macy's and Macy Department Stores for 15 years where he held numerous positions including Divisional Merchandise Manager and VP/Divisional Director, Planning - Men's & Young Men's.