Episode 1Information Management: Laying the Foundation for Data Driven Insights
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Regardless of your department, data provides the foundation for any decision making process, and without an integrated data strategy, it's impossible to make a truly informed decision. Companies often struggle in developing organization-wide data strategies, but this doesn't have to be the standard. A phased approach aligning People, Process and Technology is often the best practice as this method looks at shaping the entire information management lifecycle.

Whitepaper of Interest:
Supporting Your Information Strategy with a Phased Approach to Master Data Management 

Episode 2 – Enhancing the Omni-Channel Experience with Analytics
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It isn't easy for retailers to align around customers and brands rather than sales channels, but the effort is worth it. In today’s competitive retail environment where every product or service can be so quickly and easily duplicated, it’s vitally important for organizations to use their data to provide an outstanding customer experience. Learn how a Data Driven Analytics Program can enhance the Omni-Channel Customer Strategy by delivering a consistent customer experience.

In this presentation we'll discuss:

  • The value of using data visualization as a discovery process for guiding business decisions
  • Highlight best in class organizations leveraging Analytics to provide a consistent customer experience
  • The importance of developing an organization wide Information Management and Analytics strategy

Episode 3 – The Benefits and Application of Market Basket Analysis
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In Retail, Market Basket Analysis is used to understand the purchase behavior of customers. This information can then be used for purposes of cross-selling and up-selling, in addition to influencing sales promotions, loyalty programs, store design, discount plans and even segmentation. Learn how Analytics can be leveraged to optimize this process, improve the overall customer experience, and achieve greater ROI on campaigns.

In this presentation we'll discuss:

  • What is needed from a Data and Analytics context in order to support Market Basket Analysis
  • Best practices for Market Basket Analysis
  • Highlight case studies of organizations that have excelled in Market Basket Analysis strategies