5 Product Data Levels to Consider

Different kinds of product data may be divided into the schemas. Product pricing is usually a subject mainly belonging to the ERP side of things. But how to connect the dots and take things to next level, this write-up throws light on Product Master data Management.

Liliendahl on Data Quality

When talking about Product Master Data Management (Product MDM) Product Information Management (PIM) I like to divide the different kinds of product data into the schema below:

Five levelsLevel 1, Basic Data

At the first level, we find the basic product data that typically is the minimum required for creating a product in any system of record.

Here we find the primary product identification number or code that is the internal key to all other product data structures and transactions related to the product within an organization.

Then there usually is a short product description. This description helps internal employees identifying a product and distinguishing that product from other products. Most often the product is named in the official language of the company.

If an upstream trading partner produces the product, we may find the identification of that supplier here too. If the product is part of internal production, we may…

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Author: Abhishek Srivastava

Solutions-focused, Innovative, and accomplished Enterprise architecture expert with more than 2 decades of technical management achievements with F500 companies (AmEx, American Airlines, Western Union), Abhishek Srivastava continues to deliver exceptional enterprise architecture buildout, revamp, and modernization efforts as Director/VP of Enterprise Architecture. As a technology leader, Abhishek works for Deloitte, where he excels in building and overseeing high performing consulting teams in Strategy and Analytics biz area in delivering large, high-availability systems. He also forges lasting relationships, driving stakeholder engagement and project alignment. As an out-of-the-box thinker, he provides unique solutions and uses state-of-the-art technologies – including AI, ML, cloud, and data solutions – to exceed all expectations. Supporting these achievements are his exemplary educational qualifications. These include an MBA from The University of Texas at Austin, an Engineering degree from IIT, PMP certification, and attainment of 3X AWS Certifications (Solutions Architect, Machine Learning, and Cloud Practitioner). Abhishek blogs about Data, Cloud and Enterprise architecture at http://www.abhisrivastava.com. He can be reached at asrivastava3@gmail.com and https://www.linkedin.com/in/abhisheksrivastava10/

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