In today's digital-first marketplace, product data has emerged as a critical organizational asset that drives everything from customer experience to regulatory compliance. Well-managed product information isn't just a technical necessity—it's a strategic imperative that impacts trust, efficiency, and ultimately, your bottom line.
The True Value of Product Data
Product data has been called "the new oil" by industry leaders like Leandro Balbinot, former CIO of Kraft Heinz and current VP of Technology at Amazon. But as he pointedly observes, "the derricks are all broken and leaking." While organizations recognize the theoretical value of product data, many struggle with fragmented, manual processes that prevent them from realizing its full potential.
Trust is fundamental to business success. Over 87% of marketers agree that trust is important—more important than ever. What drives this trust? Accurate, comprehensive product information.
The Hidden Costs of Poor Product Data Management
Gartner estimates that poor data quality costs organizations an average of $15 million per year. These costs manifest in channel-specific processes leading to inconsistent content across platforms, SKUs appearing online with missing content or pricing, missing or disappearing product images, incorrect brand attributions with potential legal implications, and shipping errors due to inadequate product information.
Product Data: The Foundation for Customer Experience
Nearly 50% of marketers credit product data as the information type with the biggest impact on building customer trust. Online shoppers lack the ability to physically interact with products—they rely on product data to understand items and feel confident that purchases will meet their expectations.
Research shows 72% of survey respondents indicate that digital assets like photography and videos, along with product marketing content, have the biggest impact on driving sales. When high-quality marketing assets are paired with accurate product data, the combined information becomes more convincing and effective at driving conversions.
The Challenges Organizations Face
- Manual and duplicate work: Not knowing what data exists or how to use it results in wasted effort
- Inadequate systems: Legacy systems that lack capabilities for bulk edits or multi-value assignments
- Time-consuming processes: Manual setup of merchandising packages and product relationships
- Asset management issues: Labor-intensive image tasks without proper search or validation capabilities
- eCommerce platform limitations: Painful maintenance processes and unreliable synchronization
- Marketplace challenges: Listing errors resulting in limited product visibility
- Feed management issues: Inability to efficiently manage product feeds across channels
Building a Product Data Strategy
- Establish a central repository: Set up a trusted repository of high-quality product data (PIM)
- Ensure cross-channel consistency: Simplify delivery of consistent product selection, content, and pricing
- Enhance customer experience: Leverage granular data to boost search and buying experiences
- Centralize governance: Implement consistent processes to create, update, and obsolete products
- Leverage validation tools: Use governance rules, bulk edits, and approval workflows to improve data quality
- Facilitate easy capture: Make it simple to add new categories, attributes, and images as needed
The Future: AI and Product Information Management
The integration of AI with product information management is transforming how organizations handle product data through automated decisions, time and cost savings, real-time personalization, increased ROI, and sales prediction via AI-driven analytics.
Conclusion
Making product data core to your organization isn't just about implementing new technology—it's about recognizing that in today's digital marketplace, the quality and accessibility of your product information directly impacts customer trust, operational efficiency, and competitive advantage. By investing in robust product information management systems and processes, organizations can transform product data from a necessary evil into a strategic asset that drives growth, enhances customer experiences, and builds lasting trust.