Product information management is designed to centrally manage information. The information is related to various products. The primary 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 pool of data is used to acquire accurate, consistent, and up-to-date information. In order to support different demographics, the multilingual situation, and the modification and adjustment of product information in a central catalog, product information has become of paramount importance.
The key to multi-channel success lies in PIMing consistently. If data quality is poor in a multi-channel business, that business cannot thrive for long. You cannot rely solely on product data cleanliness. For best results, retailers, CPG manufacturers, and distributors want a comprehensive solution. In product information management, product information is combined with robust capabilities in data integration and governance.
Functional areas of the data governance case study include supplier 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 managed centrally to be easily found and then formatted and adjusted as per requirements. In the case of business process management, it is ensured that each division and group in an organization follows the same or a similar process for maintaining and creating products. 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 of PIM will be incomplete if we do not take into account mro data cleansing. It is really an essential service. Here, various factors such as proprietary software, expert review, and standard operating procedures (SOPs) are taken together to standardize, validate, cleanse, and improve raw customer data. After cleansing, the data is formatted to meet specific ERP/CMMS/EAM configuration requirements, in addition to rectifying character limitation, field type, and data management. Potential duplicate records are identified during the cleanup process. There are three distinct levels in the MRO data standardization process: cosmetic cleaning, standardization, and improvement.