Experian Decision Analytics

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Experian is expert in managing and enriching customer data to enable organisations to make accurate, relevant decisions for each customer, in order to maximise the profitability and performance of each relationship. Experian protects the customer and organisation, by detecting and preventing fraud at every stage of the customer life cycle.

Over more than 30 years, Experian has developed its best practice analytical, consulting and product capabilities to support organisations to manage and optimise risk; prevent, detect and reduce fraud; reduce debt; meet regulatory obligations; and gain operational efficiencies throughout the customer relationship.

Specialties

Risk Management, Analytics Models, Fraud Prevention, Optimisation, Customer Management, Basel II, Collections, etc

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New Hires and Recent Promotions at Experian Decision Analytics

  • Anastas Gogov, Head of Business Analysis, Sofia Delivery Centre

    was Solutions Manager - last month

  • Quyet Le, Software Manager

    was Software Developer Consultant - 2 months ago

  • Emmanuel Cappellari, Project Manager

    was Business Analyst - 3 months ago

  • Edouard Kieffer, Senior Solutions Analyst

    was Delivery Support Engineer - last month

  • Phil Watson, Principal Consultant, Telecommunications

    was Global Solutions Director - 6 months ago

To see more new hires & promotions: Join Now or Sign In

Last edited by Microfinance Program Manager at Experian

Key Statistics about Experian Decision Analytics

Top Locations

Experian Decision Analytics Headquarters Address
Landmark House NG2 Business Park, Experian Way
Nottingham, Co. Dublin NG80 1ZZ
United Kingdom
Phone: +44 115 941 0888
Fax: 353 1 846 9150
IndustryFinancial Services
TypePublic Company
StatusOperating
Company Size 15,500 employees
2007 Revenue $3,481 mil (14%)
Founded1980
Websitehttp://www.experian-da.co...
More Experian Decision Analytics info »
Common Job Titles
Solution Analyst7%
Business Consultant6%
Consultant5%
Analyst5%
Project Manager4%
Top Schools
Université de Nice-Sophia Antipolis4%
Sofiiski universitet Sv. Kliment Ohridski4%
Median Age31 years
Gender
Male70%
Female30%
Estimated based on LinkedIn Data

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