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Case Study

A Framework for Master Data - Enhanced Product Data, Reporting and Analytics

Taiga Building Products Ltd. is a leading wholesale distributor of building materials in North America; headquartered in Burnaby, British Columbia. The company operates 15 distribution centers across …

Wholesale Distribution PIM/MDM Data Centralization Self-Service Portal Product Data Syndication North America
18
Distribution centers in North America
500+
Employees relying on product data
1
Single source of truth for master data
Challenge
Challenge The Challenge Inefficient Product Data Requests: Teams spend excessive time responding to internal and external requests for product information, slowing down decision-making and customer service.Poor Product Data Quality: Inaccurate or incomplete product data across spreadsheets and syste…
Solution
Solution Our Solution Centralized Product Information: Implemented Pimcore to serve as a single source of truth for all product data, consolidating information from multiple systems.Improved Data Structure: A cleaner and more holistic design to our data model greatly improved both data quality and a…
Results
Results The Results Improved Understanding of Product Data: Gained a clearer, more structured understanding of our product information, helping teams make better-informed decisions.Optimized Data Structure: Collaboration with Torq resulted in a more organized and scalable product data structure, lay…
Customer
Taiga Building Products
Products Used
PIM/MDM
Solution Partner
Torq It

Challenge

The Challenge

Inefficient Product Data Requests: Teams spend excessive time responding to internal and external requests for product information, slowing down decision-making and customer service.Poor Product Data Quality: Inaccurate or incomplete product data across spreadsheets and systems leads to errors in pricing, specifications, and descriptions, affecting sales and customer satisfaction.Fragmented Master Data Management: Product information is scattered across multiple systems without a single source of truth, making it difficult to maintain consistency and control.Limited Reporting and Insights: Lack of centralized data prevents management from easily analyzing product performance, data quality, and operational efficiency.Time-Consuming Manual Processes: Teams rely heavily on manual data entry and consolidation, which is prone to errors and slows down product launches and updates.Challenges in Scaling Operations: As the product catalog grows, existing processes struggle to handle the volume, risking further inaccuracies and inefficiencies.

“We've made significant strides with our PIM system, optimizing product data and enhancing stakeholder tools.​ Current efforts aim to boost visibility and streamline content.​ Looking ahead, we’ll expand into customer data enrichment and improved personalization, ensuring continuous growth and innovation.”

Catalog Manager

Solution

Our Solution

Centralized Product Information: Implemented Pimcore to serve as a single source of truth for all product data, consolidating information from multiple systems.Improved Data Structure: A cleaner and more holistic design to our data model greatly improved both data quality and accessibility.Efficient Product Data Requests: Enabled quick access to up-to-date product information through the use of Pimcore Portals, reducing the time spent by teams responding to internal and external requests.Enhanced Reporting and Analytics: Provided dashboards and reporting tools to monitor data quality and identify errors and enrichment requirements.Scalable Processes: Designed the system to handle a growing product catalog, ensuring that scaling operations doesn’t compromise data accuracy or efficiency.Cross-Channel Consistency: Ensured that product data is uniform across our home-grown ecommerce platform, and downstream customer integrations.

Results

The Results

Improved Understanding of Product Data: Gained a clearer, more structured understanding of our product information, helping teams make better-informed decisions.Optimized Data Structure: Collaboration with Torq resulted in a more organized and scalable product data structure, laying a strong foundation for future growth.Guidance on Best Practices: Torq offered constructive feedback and recommendations, helping us adopt industry-leading practices in master data management.Enhanced Collaboration and Knowledge Sharing: Teams were able to work more effectively, using the PIM system as a single source of truth and standardizing workflows.Strategic Confidence: The project enabled us to approach future product data initiatives with confidence, knowing we have a robust, scalable system and expert guidance behind it.

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