TE Connectivity & Dakota Collaborate to Improve Product Findability


More Product Views


More Products Online


Faster Product Onboarding 

20%       25%        20%

More Product Views       More Products Online       Faster Onboarding

TE Connectivity, a $14B designer and manufacturer of connectivity and sensor products, manages a massive product catalog of over 700 unique categories of products and hundreds of thousands of products. Several years ago, TE invested in a major digital transformation which included a new digital platform, eCommerce capabilities, product information management (PIM), and product taxonomy.

Because the requisite data migration had to move quickly to keep pace with the launch of the new website, the merchandising and eCommerce teams didn‚Äôt have time to standardize product content or metadata (like ‚Äúcolor‚ÄĚ or ‚Äúvoltage‚ÄĚ). If 100 categories needed a ‚Äúvoltage‚ÄĚ attribute, then 100 unique attributes were created. As a result, TE‚Äôs product taxonomy was massive and complex, difficult to govern and manage, and product data quality was not optimized.


Increase Product findability.

Streamline site navigation.

Standardize content across a GIANT product catalog.

Make it easier to onboard products.

Increase Product Findability

Streamline site navigation

Standardize content across a GIANT product catalog

Make it easier to onboard products

“What struck me most about Dakota was their ability to articulate a more integrated view of how PIM is key for tying together content strategies for the company. That‚Äôs a key reason we decided to work with Dakota.”

Victoria Manassero Maat

Director of Content Center of Excellence


Dakota used attribute prevalence and fill rates to systematically determine the proposed disposition of every attribute in the product catalog. Dakota recommended whether they should be:

  • Mapped to existing Preferred Attributes (because they were the same concept)
  • Become new Preferred Attributes (because they were a unique concept not matching an existing Preferred Attribute),
  • Go away (because they were not widely used, not observed in the marketplace, and/or not filled with data values on most products).

After Dakota mapped attributes to the Preferred list, the TE team systematically normalized the attribute values for all the product data in the category. This means that they will all have the same unit of measurement, the same decimal precision, and would use the standard LOV entries.

“Change management was ultimately what we bought from Dakota. Their ability to crack the code on what product managers cared about and to make it clear that Dakota was on their side was the key to success on this project.”

Victoria Manassero Maat

Director of Content Center of Excellence


Standardizing attributes to a preferred attribute list and preferred LOVs improved the efficiency of product content operations. Managing the taxonomy easier because there are simply fewer attributes to manage.  This allowed product teams to onboard products faster and increase the quality of their content.

The performance and usability of TE’s product pages also improved. Product catalog page views increased 20% for the Printed Circuit Board Connectors category.¬†Search and compare filters were also made more effective by consolidating values with the same meaning to a single LOV.¬†

25%       25%        25%

Site Traffic Increase     Site Traffic Increase     Site Traffic Increase

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