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Compared 48% of the time.
Compared 20% of the time.
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Compared 18% of the time.
Compared 26% of the time.
Compared 22% of the time.
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Compared 21% of the time.
The system offers real time data analysis and the quality of the data that is being used for processing. Also, the system will provide the necessary statistics for data availability which will help the management in streamlining the data entry processes. Because of the improvements that can be proposed because of this system analysis fraudulent customers can be reduced, saving time in terms of delivery, easy access to communicate to the stakeholders, helps in up-selling and cross selling of products, etc.
The system offers to analyze the matching rules that are currently implemented and can be modified based on the analysis to improve the precision and recall of the matched records. The system also offers insights on customer segmentation which will influence the decisions based on risk, net exposure, cross-sell and up-sell products, etc.
The system helps in multiple areas of the decision making by providing the information that is rich graphically helping the users to visualize, easy of exporting, easy to share the results, consolidation of information from multiple data sources, simplifying the analysis and more.
|Winpure Data Cleaning Matrix provides a method of applying a whole host of cleaning processes onto your data. Containing an array of tools to help clean, correct, standardize and transform your data the matrix is divided into 7 sections, each section focusing on a specific data cleaning operation. All settings can then be stored and used on other similar data sets thus saving a lot of time.|
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|Sample Customers||ICICI Bank, HDFC Bank, Reliance Capital, Tata Motor Finance Ltd, ICICI Prudential Life Insurance Company, Bharti Airtel Limited, Idea Cellular, Credit Information Bureau||Birmingham Hippodrome, Luton Borough Council, Apex Innovations, Sandia National Laboratories, Clear Blue, Vodafone|