Explore how our Master Data Management has helped a leading Retail Customer by providing Omnichannel Experience for their Consumers.
Customer
A leading Retail Customer.
Use Case
Improve the Data Quality and omnichannel experience for their consumers.
Business Challenge
- Automate multiple source data processing using a single platform.
- Need to maintain a single source of truth by matching and merging the duplicate records.
- Managing future data enrichment in a robust and faster way.
Project Requirements
- Create an MDM implementation to maintain Consumer (individual) and Customer (Business) records.
- Integration of different source data.
- Cleansing the data with given business validation data quality rules.
- Defining the data management strategy to master current and future consumers and customer data.
Solution Highlights
- Created an automated process to integrate the data collected from multiple sources
- Managing the Data Quality requirements for the selected attributes in Data Asset through the standard business validation rules.
- Assessing the quality of the data source by generating operational reports.
- Data model to support the feeding source system with require changes as per the business requirement so that further transactions can be initiated without any confusion.
- Easy edit for Master data through MDM data Browser.
- Different data models for various specifications as per business (e.g. Customer, Partner, Sales, etc.)
AMURTA Value
- Supported in managing the operational metrics as per business validation rules.
- Reduced the time taken to view all merged consumers' information as per their corresponding roles with the compilation of multiple source data.
Results
- Key metric information was provided in near real-time to business executives.
- Related operational Dashboard updated.
- Business found the number of consumers with specific consumer role to improve the performance in Sale.
- Improved business resource optimization.
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