Product information management is designed to manage information centrally. The information is related to various products. The main focus of this task is to sell and market products through distribution channels. This management system has been implemented by different entities such as websites, ERP system, printed catalogs and electronic data sources. In the process, a central data pool is used to acquire accurate, consistent, and up-to-date information. In order to support different demographics, multilingual situation, and product information modification and adjustment in a central catalogue, product information has become critically important.
The key to multi-channel success lies in consistent PIM. If data quality is poor in a multi-channel business, that business cannot thrive for long. You can’t rely solely on clean product data. For best results, retailers, CPG manufacturers, and distributors want a comprehensive solution. In product information management, product information is combined with robust data integration and governance capabilities.
Functional areas of the data governance case study include vendor integration portal, master data management, product data creation, digital asset management, business process management, commerce, and web access . Each of the activities has certain characteristics. For example, in digital asset management, raw products such as graphics, images, audio, documents, and videos are centrally managed to be easily found and then formatted and adjusted according to requirements. In the case of business process management, it is ensured that every division and group in an organization follows the same or a similar process for product creation and maintenance. The ultimate goal is to improve operational efficiencies. With the help of PIM’s web interface, simple, powerful and very fast web-based search is performed and, as a result, the company is able to create product information to drive sales and marketing.
The discussion on PIM will be incomplete without taking mro data cleansing into account. It is truly an essential service. Here, various factors such as proprietary software, peer review, and standard operating procedures (SOPs) are taken together to standardize, validate, cleanse, and improve customer raw data. After cleansing, the data is formatted to meet specific ERP/CMMS/EAM configuration requirements, as well as rectify character limitation, field type, and data management. Potential duplicate records are identified during the cleanup process. There are three distinct levels to the MRO data standardization process: cosmetic cleanup, standardization, and improvement.