Simplify the product classification with PIM data models
Designing product data models is a complex task for the brands as they need to collect and manage a lot of information related to products to enable the customers with an exact view of the product. However, it is essential to help shoppers make the right buying decision.
Credencys has successfully deployed product information management solutions along with the adaptable PIM data models. We have worked with different types of products and created varied product master data models. Due to the executive experience creating product data modeling, we establish a relationship of the product with different aspects such as product category, family, SKUs (Stock Keeping Units), and more.
Establishing relationships with the different product attributes, we connect the relevant product data that are easily accessible for the enterprises. To create a powerful product information management data model, our PIM developers utilize Pimcore’s product information management framework.
Harnessing the potential of Pimcore’s PIM, we create avant-garde yet flexible product data models. We create accurate product information management data models by integrating different systems to construct accurate relations amongst product data.
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Hi I’m Sagar Sharma.
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Our process to build product information management (PIM) data modeling
1
Requirement Gathering & Analysis
- Understanding your business
- Comprehending requirements
- Drafting proposal document
2
Wireframes & Design
- Screenflow strategy
- Creating wireframes
- Designing the UI
3
Quality Assurance
- Testing the PIM solution
- Sharing test report
- Get final approval from client
4
Deployment & Launch
- Deploying a PIM solution on the client’s server
- Launching the PIM solution
- Post-launch support
Tools & Technologies
At Credneycs, we have proven expertise in developing PIM solutions with highly complex product data modeling that ensure brands for effective and accurate product data management. Enabling the modern tech stack, we build highly effective yet advanced PIM data models that simplify product information management.
Clients who believed in us!
FAQs: product information management (PIM) data modeling
Product data models refer to all the data elements related to a product that is defined for each product throughout the product lifecycle. This data could be related to product attributes, performance, relationships, topology, geometry, tolerance, and more.
According to the definition of Edger Codd the data model is composed of three components: 1) data structure, 2) operations of data structure, and 3) integrity constraint for operations and structure.
A good data model has four criteria that involve 1) it can be easily consumed, 2) large data changes are scalable, 3) it offers more predictable performance, and 4) it adapts changes in requirements.
Integrating product data management, we enable your project manager, salespeople, engineers, quality assurance, and buyers with reporting and knowledge management capabilities.
Data modeling is a process of ordering and defining the product data for use and analysis by certain business processes. The key purpose of data modeling is to generate high-quality, structured, and consistent data for running business solutions and attaining consistent results.
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Credencys Solutions is a data management solutions provider tailored to the unique needs of retail & consumer goods brands and manufacturing businesses. Widely regarded as a trusted advisor and strategic partner, the company has 15+ years of proven success in implementing cutting-edge PIM & MDM solutions that empower businesses to harness the full power of their data.
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