Your comprehensive guide to understanding e-commerce and product information management terminology.
Cross-functional collaboration involves different departments or teams working together towards a common goal, sharing knowledge and resources.
Cross-selling is a sales strategy where businesses recommend complementary products to a customer. PIM systems enable effective cross-selling by managing product relationships and rich content.
A Customer Data Platform (CDP) is a software system that unifies customer data from various sources into a single, persistent, and comprehensive customer profile. It enables personalized marketing and enhanced customer experiences.
Customer reviews and ratings are user-generated feedback on products, providing social proof and influencing purchasing decisions in e-commerce.
Customer-centric product data organizes and enriches product information to directly address customer needs, questions, and purchasing journey stages.
Data cleansing is the process of detecting and correcting or removing corrupt, inaccurate, or irrelevant records from a dataset.
Data consolidation is the process of collecting and integrating data from various disparate sources into a single, unified, and consistent view. It aims to eliminate redundancies and inconsistencies, creating a reliable 'single source of truth' for an organization.
Data enrichment is the process of adding, improving, and optimizing existing product data with more detailed, accurate, and valuable information from various sources.
A data feed is a structured file containing product information, used to transmit data efficiently between systems or to various sales and marketing channels. It ensures consistent and up-to-date product listings across platforms.
Data governance establishes policies and processes to manage data availability, usability, integrity, and security across an organization.
Data ingestion is the process of collecting, importing, and processing raw data from various sources into a system like a PIM, often involving initial validation and transformation.
A centralized repository for storing large volumes of raw, unstructured, and semi-structured product data from various sources before it's processed or structured.