Data Normalization

Transform inconsistent data into a single, streamlined format.

Data Normalization is at the core of Curator’s functionality, designed to unify catalog data from diverse sources into a consistent and usable format. Suppliers often use different versions of the ACES and PIES standards, naming conventions, and file structures, creating chaos for businesses attempting to integrate the data into their systems. The Curator solves this problem by analyzing each file, identifying its schema, and transforming the data into a standardized format that aligns with your specific needs.

Why Data Normalization Matters: A Real Example

Case Study: Wholesale Auto Parts Distributor Overcomes Data Chaos

A leading wholesale auto parts distributor was struggling to manage catalog data from hundreds of suppliers, each using different ACES or PIES versions, naming conventions, and update schedules. This inconsistency led to major operational challenges, including mismatched inventory data, incomplete product listings, and delayed updates to their e-commerce platform.

The lack of standardized data made it nearly impossible for the distributor to quickly onboard new products. Their internal team spent countless hours manually cleaning and aligning data, often introducing errors and slowing down time-to-market.

How Curator Solved the Problem:
The distributor implemented DataPoints Curator product to address these issues. The curator automatically analyzed the incoming data from hundreds of suppliers, onboarded and audited the data for consistency month in and month out.

In addition, Curator tailored the data to meet the requirements of their ERP and e-commerce systems, ensuring seamless integration.

The system ran nightly audits to catch any discrepancies, keeping their catalog consistently accurate and up-to-date.

The Results

Increased Operational Efficiency: Manual data processing time was reduced, freeing up resources for more strategic tasks.
Improved Data Reliability: Fitment and Product listings became error-free, boosting customer confidence and satisfaction.
Faster Time-to-Market: New products were added to the catalog in hours instead of days, enabling quicker sales.
Scalability: The distributor could now onboard additional suppliers with minimal effort, driving business growth.

This transformation not only improved the distributor's internal operations but also strengthened its competitive position in the market. With Curator’s Data Normalization, they were able to confidently scale their business while ensuring their catalog remained a valuable asset.