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By Edward Chenard
http://www.linkedin.com/in/echenard
Topics Covered
 Consumers Today
 How Big Data can Help Bridge the Gap between
 Consumers and Businesses
Introduction
 Who am I
   Product and Strategy Manager at Best Buy
   I manage the team that runs the companies largest
    hadoop cluster.
   I manage all customer facing recommendation engines
    across the entire enterprise.
   I create the digital strategies for mobile, tablet, apps, big
    data, and digital tools
   Yes, my days are very busy…
Consumers Today
 Consumers want to learn and discover products.
    Make it easy to find products.
 Consumers are looking for ways to maximize their
  shopping experience.
    Consumers don’t have time to spend all day looking for a
     product, they need it now!
 Consumers want simplicity of services.
    Make it easy to get information that is relevant.
Consumers want to learn and
discover new products
 Consumers, especially younger consumers, want to
  enjoy the discovery of products – not be sold to.
 Price sensitive shoppers love to research before they
  buy.
 Lifestyle consumers love to discover what new
  products fit their own lifestyle.
Consumers are looking for ways to
maximize their shopping Experience
 Consumers don’t have time to go through a long sales
  process, so don’t waste their time with 20 qualifying
  questions when all they need is a simple answer.
 The amount of time a consumer has to wait to get what
  they wants, becomes your new brand message in that
  consumer’s mind, don’t waste their time.
Consumers Want Simplicity of
Service
 Don’t make things difficult, if the process is designed
  for your benefit and not the customers, then you are
  going to lose the customer.
 Simple means as few moving parts for the customer to
  deal with, give them what they want up front and how
  they want it.
 Don’t try to inspire your sales people to inspire
  customers when all the customer wants is a cable and
  to be in and out in 5 minutes.
How Big Data Can Help
 Improving the way we target customers
 Improving our ability to address the customer pain
  points better
 Giving customers the information they want and in
  the format they want it.
Big Data Analytics
 Big data (defined as map-reduce with some sort of
 algorithm for the logic aspect) is a tool that can help
 address customer wants.
   Better information, the more information I have, the
    more I can tell what customers will want.
   The better information I have the better I can serve up
    information that is relevant and useful to customers.
   Information used properly, is the best competitive
    advantage today.
Big Data and Personalization
 With big data, we can take personalization to a level
 we had not been able to before.
   Providing consumers with information they way
   Providing consumers with information that is actually
    useful for them, i.e. (help them learn and discover, not
    sell to them).
   Big data helps us collect information from all touch
    points to provide an integrated channel experience.
Big Data and Information Overload
 The amount of information people are exposed to
 everyday is growing.
   Companies that can use big data to reduce the amount
    of clutter for consumers, will win the race to the top.
   As consumers have more information overload, they
    block out more and more, value will be places on
    companies that get to the point without the fluff.
   Big data analytics will become a big part of achieving
    new service models for consumers.
Big Data Takeaways
 Keep it simple, consumers will have more information
  overload, if you add to this problem, you make yourself
  less useful to consumers.
 Big data analytics will be a key competitive
  differentiator.
 Don’t leave it to IT alone to come up with the ideas in
  this space. Big data is very much a customer
  experience issue, not an IT issue.

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Big data and the shopping experience

  • 2. Topics Covered  Consumers Today  How Big Data can Help Bridge the Gap between Consumers and Businesses
  • 3. Introduction  Who am I  Product and Strategy Manager at Best Buy  I manage the team that runs the companies largest hadoop cluster.  I manage all customer facing recommendation engines across the entire enterprise.  I create the digital strategies for mobile, tablet, apps, big data, and digital tools  Yes, my days are very busy…
  • 4. Consumers Today  Consumers want to learn and discover products.  Make it easy to find products.  Consumers are looking for ways to maximize their shopping experience.  Consumers don’t have time to spend all day looking for a product, they need it now!  Consumers want simplicity of services.  Make it easy to get information that is relevant.
  • 5. Consumers want to learn and discover new products  Consumers, especially younger consumers, want to enjoy the discovery of products – not be sold to.  Price sensitive shoppers love to research before they buy.  Lifestyle consumers love to discover what new products fit their own lifestyle.
  • 6. Consumers are looking for ways to maximize their shopping Experience  Consumers don’t have time to go through a long sales process, so don’t waste their time with 20 qualifying questions when all they need is a simple answer.  The amount of time a consumer has to wait to get what they wants, becomes your new brand message in that consumer’s mind, don’t waste their time.
  • 7. Consumers Want Simplicity of Service  Don’t make things difficult, if the process is designed for your benefit and not the customers, then you are going to lose the customer.  Simple means as few moving parts for the customer to deal with, give them what they want up front and how they want it.  Don’t try to inspire your sales people to inspire customers when all the customer wants is a cable and to be in and out in 5 minutes.
  • 8. How Big Data Can Help  Improving the way we target customers  Improving our ability to address the customer pain points better  Giving customers the information they want and in the format they want it.
  • 9. Big Data Analytics  Big data (defined as map-reduce with some sort of algorithm for the logic aspect) is a tool that can help address customer wants.  Better information, the more information I have, the more I can tell what customers will want.  The better information I have the better I can serve up information that is relevant and useful to customers.  Information used properly, is the best competitive advantage today.
  • 10. Big Data and Personalization  With big data, we can take personalization to a level we had not been able to before.  Providing consumers with information they way  Providing consumers with information that is actually useful for them, i.e. (help them learn and discover, not sell to them).  Big data helps us collect information from all touch points to provide an integrated channel experience.
  • 11. Big Data and Information Overload  The amount of information people are exposed to everyday is growing.  Companies that can use big data to reduce the amount of clutter for consumers, will win the race to the top.  As consumers have more information overload, they block out more and more, value will be places on companies that get to the point without the fluff.  Big data analytics will become a big part of achieving new service models for consumers.
  • 12. Big Data Takeaways  Keep it simple, consumers will have more information overload, if you add to this problem, you make yourself less useful to consumers.  Big data analytics will be a key competitive differentiator.  Don’t leave it to IT alone to come up with the ideas in this space. Big data is very much a customer experience issue, not an IT issue.