Tag Archives: customer relationship management

Retail Case Study: Printemps Department Store Builds a Trusted Customer Data Foundation with MDM and Data Quality

If you have never traveled to France, you have missed the unique and exciting shopping experience offered at Printemps, a luxury fashion retailer. Its flagship store in Paris drives 60% of the company’s revenue. More than 1.5 million customers who love fashion visit this store as well as the retailer’s 15 other high-end stores around the country.

Printemps Haussmann, flagship department store in Paris, France.

Printemps’ goal is to cultivate long-term personal relationships with their high value customers by delivering exceptional services. Their strategy to accomplish this goal is to continuously meet their high value customers’ needs and expectations and create compelling incentives for customers to visit their stores.

Printemps’ marketing team is continually striving to be more customer-centric and improve campaign effectiveness. They are using customer analytics to segment their customers and better understand their preferences. For example:

  • Which customers prefer fashion, beauty or accessories?
  • Which customers prefer communications through the mail, email, mobile phone, social media channels?

Printemps has plenty of information about their 1.5 million customers. So what
was standing in their way? They lacked a 360-degree view of their high value
customers. The key culprit was duplicate customer information across multiple
systems.

I had the honor of introducing Olivier de Compiègne, who is responsible for Project Services and Customer Relationships at Printemps at Informatica World. Olivier’s main message: if your goal is to attract high value customers and boost customer loyalty, first you must invest in a solid customer data foundation.

To build their solid customer data foundation, Printemps’ team is leveraging Informatica Data Quality to ensure their customer information is as accurate and complete as possible across all key sources. They are using Informatica MDM, master data management (MDM) technology to rationalize customer information from numerous data sources to create a single customer view as well as a 360-degree customer view, which includes each customer’s purchase history.

Printemps’ solid customer data foundation is maintained on an ongoing basis, which allows Printemps’ marketing team to have confidence in the data they use for customer analytics and campaign management. Now they can truly support personalized relationships with customers and optimize their marketing by sending tailored messages to targeted customer segments.

If you are trying to cultivate long-term personal relationships with your customers and lack a 360 degree customer view, I hope Olivier’s story was helpful.  Do you have similiar goals? Please share your thoughts. I’m interested in hearing from you.

If you want to learn more about how Printemps’ is using Informatica Data Quality and Informatica MDM, please:

 

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Posted in Customer Acquisition & Retention, Data Quality, Master Data Management, Retail | Tagged , , , , , , , , , , , , , , , | Leave a comment

How Retailers Can Use MDM To Better Serve The Multichannel Customer

Retailers have long recognized the value of a single customer view, but the emergence of multichannel research and shopping has made achieving that ideal more difficult. Today’s consumers hopscotch across online, in-store, call center, social media, mobile, and other channels—how can retailers keep up?

Acquire & Retain Customers with Trusted & Complete Customer Data

If you have a single view of your retail customer, you can assess channel buying preferences and tailor marketing accordingly. You can deliver the personalized and consistent experience that discriminating consumers expect across all touchpoints. And you can take advantage of the unique cross-sell and up-sell opportunities that multichannel environments offer.

For instance, if Jane buys a $2,000 leather couch in a store and you can match her information to the email address she registered three months earlier at your Web site, you’re in a great position to pitch matching pillows with a personalized email.

But, as outlined in a new Informatica executive brief, siloed data systems for point of sale (POS), e-commerce, call centers, and more make it difficult for retailers to achieve a single customer view. The brief includes survey results from a leading research organization, including the following statistics:

  • 92 percent of retailers don’t integrate customer data from all channels
  • 68 percent of companies cite improving customer data integration as a top priority for 2010
  • Less than 25 percent of retailers extend personalized loyalty programs across all channels

(more…)

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Posted in Business/IT Collaboration, CIO, Customer Acquisition & Retention, Data Quality, Enterprise Data Management, Master Data Management, Operational Efficiency, Vertical | Tagged , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment