Imagine a world where every product on a retailer’s shelf tells its own story—what drives its sales, who buys it, and why it stands out. For many retail and CPG brands, making sense of these stories through effective product data management could be a game-changer. But with fragmented data sources, inconsistent attributes, and countless product variations, the process of integrating and categorizing data is often messy and slow. These challenges prevent brands from seeing the complete picture, missing out on insights that could fuel smarter decisions and sharper strategies.

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What if, instead, your product data worked seamlessly in sync, giving your teams an edge through a unified, accurate view of every product? When companies tackle the real obstacles behind product attribution & categorization, they can transform everyday product data into a strategic asset that drives faster, better-informed decisions.

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Why Data Attributes Are Hard to Integrate and Categorize

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Major product data management challenges come from inconsistencies in product attributes—like different naming conventions, data structures, or missing key details. For example, attributes like “immunity boosting” may not be cataloged the same way across data sources. This makes data categorization difficult and prevents companies from getting a full view of their product attributes across all channels.

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Additionally, mapping retailer-specific product IDs to UPCs often involves manual, error-prone tasks, adding to the workload for data product managers. Many companies find it hard to organize complex data and harmonize sources, which limits their ability to gain valuable insights.

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The Impact of Inconsistent Data on Decision-Making

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Without an effective product data management system, decision-making suffers. Inconsistent data structures mean teams often work with incomplete or inaccurate insights. As a result, teams in marketing, category management, and innovation struggle to find the true drivers of product performance.

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Harmonya’s attribution management platform solves these issues by creating a single, reliable source for product data across any schema or data source. This gives data product managers and category teams access to accurate, consistent data & insights. With Harmonya, businesses can make faster, more effective decisions based on a clear view of their product attributes and market trends.

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Existing Approaches to Solve Data Integration Challenges

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Many companies try to solve data integration problems manually or with basic data product management tools. But manual methods take time and are often prone to mistakes, especially for teams working with large, complex data sets. Harmonya addresses this with AI-powered automation and machine learning to organize and enrich product data consistently.

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With Harmonya, companies can efficiently harmonize complex data structures. The insights platform provides category, insights, and analytics teams with enriched, consumer-focused attributes from sources like customer reviews and product descriptions, ensuring faster, more accurate insights while cutting down on manual tasks.

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The Benefits of Automated Data Categorization

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An automated product data management process brings major benefits, boosting efficiency and improving data analytics for large CPG companies. By simplifying product data management, companies can:

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•Automate coding and attribution, cutting down on manual work and errors.
•Build a single, reliable source of truth, so teams in marketing, product development, and category management have accurate, current data.
•Gain deeper insights into product attributes like flavors, buying occasions, and consumer benefits.
•Speed up decision-making with harmonized data that highlights important consumer and market trends.

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When data is categorized with enriched attributes and redundancies are removed, teams can focus on strategy rather than data cleanup.

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Supporting Better Product Data Management and Categorization

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As product data management systems become more complex, extra support is crucial to keep data accurate and consistent. Harmonya’s AI-powered solution provides automated product attribution and categorization, making it easy to harmonize product data, while helping brands spot patterns and better understand customer preferences.

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By turning data into actionable insights, brands can maximize the value of their data, enabling cross-functional teams to drive growth and make confident, informed decisions.