What is deduplication?
Data deduplication refers to the process of matching related data and then cleansing a dataset of redundancies.
In the age of big data, data sets are growing exponentially larger as digitalization and transformation inform modernization processes in organizations the world over. Data deduplication is an essential practice to ensure a given entity such as a customer or product is uniquely represented for any subsequent use.
Benefits of deduplication
The central benefit of deduplication is ensuring a unique and accurate representation of each entity. Initiatives such as Single Customer View (also called Customer 360), Know Your Customer (KYC), and Master Data Management (MDM) in general, or new business initiatives such as AI and machine learning, all rely upon data deduplication techniques. Whether the focus is on customer engagement and loyalty, marketing campaigns, or better inventory management with products and suppliers, deduplication ensures a complete, trusted, and accurate view of the data.
As organizations address complex regulatory requirements such as GDPR and CCPA, an accurate and complete view of entity data such as customer is critical. Where data appears in non-standard or complex format, data cleansing and data deduplication are leveraged to overcome these challenges and achieve the highest levels of precision.
A side benefit of deduplication can be the elimination of redundant data to reduce data transmission, integration, and storage costs and increase backup speeds.
Precisely's data cleansing, enrichment & deduplication tools help improve the quality of your data.