Complex illustration showing the three types of PIM data. On the top left in blue: logistical data. This includes icons representing the number of items on a pallet, pallet size and weight, shipping info, and UPCs. On the right in yellow: website attributes. This includes icons representing photos/illustrations, instructional videos, graphics, infographics, and XML or catalog feeds. At the bottom in red: marketing data. This includes icons representing collections, colors, textures, finishes, patterns, dimensions, and weight. At the center of all this is the PIM, which includes blue, yellow, and red circles to represent all three types of data it stores.

Govern your product data with PIM

Protect your investment into product data cleanup with a proper data governance strategy. Ntara helps businesses create governance SOPs and establish data governance committees to oversee the new processes. We also train crossfunctional teams to use PIM and deliver documentation that can be used to train all new hires.

Ntara’s data governance process

Here’s what it would look like to work with Ntara on product data governance:

  • Interview cross-functional stakeholders to identify their current roles and needs regarding product data. 
  • Document governance SOPs to train your current teams and all future new hires on governance processes. 
  • Establish one source of truth for your product data with cross-functional teams working in one system. 
  • Build a governance committee that enforces SOPs, adjusts them as needed, and adapts them to new business needs.  

A solid product data governance strategy offers incredible ROI for businesses, such as: 

  • Data integrity across downstream channels 
    Less confusion; stronger brand preference 
  • Consistent onboarding processes 
    Less duplication of work; more high-value work 
  • Proactive plan for remediation 
    Committee decision-makers resolve new issues  
Dozens of small circles in red, yellow, and blue. Some are filled in completely; others are outlined. Sporadic gray circles are labeled "dirty data." Gray dotted line circle outlines are labeled "missing data."

Schedule a call today for a free initial consultation.

Let’s build a product data governance strategy that works for you. 

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