Maxeda DIY Group
Maxeda, a large retail store wanted to understand user behavior, both online and in-store to create a more personalized approach.
See how Maxeda used DataMatch Enterprise to clean data, remove duplicates of customer information & match data from multiple stores to get a consolidated view.
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This case study will help you:
- Gain insight on how DataMatch Enterprise can be used to help a retailer get a single customer view & achieve their goals.
- Discover the powerful features in DataMatch Enterprise that helps users identify data defects, remove duplicates & allow for data integration in one platform.
- Understand the impact clean data has on your business operations and ROI.
Data Ladder’s visual approach for business users is cutting-edge. The visual interface and well thought-out options make for simple and effective data cleansing implementations.
Gartner.
Ted Friedman, Gartner – Author Magic Quadrant for Data Quality Tools