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Published By: Avanade DACH     Published Date: May 08, 2018
In this six-step guide, we aim to help you solve your data challenges to prepare for advanced analytics, cognitive computing, machine learning and the resulting benefits of AI. We’ll show you how to get your data house in order, scale beyond the proof of concept stage, and develop an agile approach to data management. By continually repeating the steps in this guide, you’ll sharpen your data and shape it into a truly transformational business asset. You’ll be able to overcome some of the most common business problems, and work toward making positive changes: • Improve customer satisfaction • Reduce equipment outages • Increase marketing campaign ROI • Minimize fraud loss • Improve employee retention • Increase accuracy for financial forecasts
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Avanade  DACH
Published By: CA Technologies     Published Date: Jul 13, 2015
The explosive growth of eCommerce has focused attention on security concerns associated with online payment transactions. Cardholders worry about the safety of online transactions while card issuers are concerned about balancing the risks and costs of payment fraud with a loss of revenue caused by transaction abandonment. The 3-D Secure protocol allows payment card issuers to reduce fraud in payment transactions by verifying cardholder identity during Card Not Present (CNP) transactions. Before a transaction is authorized, a cardholder can be challenged to enter a password, answer a question, or use some other form of authentication credential. This interruption in the transaction often causes legitimate customers to abandon the purchase resulting in loss of revenue for the issuer. The challenge is how to reduce fraud without impacting the user purchase experience.
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ca technologies, cnp, emv, otp, 3dsecure
    
CA Technologies
Published By: TIBCO Software     Published Date: Jul 22, 2019
The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management: Investigation teams waste large amounts of time just assembling the data needed to make decisions. Detection engines are always playing catchup with the latest fraud patterns. Ever changing regulations increase the time and cost required to reach compliance and meet audit standards. Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems. This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 20, 2019
The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management: Investigation teams waste large amounts of time just assembling the data needed to make decisions. Detection engines are always playing catchup with the latest fraud patterns. Ever changing regulations increase the time and cost required to reach compliance and meet audit standards. Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems. This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.
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compliance, audit, fraud, data, detection, transactions, investigation, cost
    
TIBCO Software
Published By: FICO EMEA     Published Date: May 31, 2019
: FICO commissioned an independent research study by TM Forum to look at how global telecommunication providers are using (and plan to use) machine learning and advanced analytics to improve the customer experience in credit risk and beyond. This in-depth report includes key insights from a global survey as well as executive interviews with leading communication service providers such as Telstra, Vodafone, Sky, Globe Telecom, and BT on their vision for leveraging artificial intelligence to stop fraud, better engage customers across channels, improve risk management, and drive collection results. Read this report to understand: o What CSPs see as the biggest drivers for deploying advanced analytics over the next two years o How and where BT, Globe Telecom, Vodafone UK, Sky and Telstra are using analytics, from marketing through origination o The opportunities and pitfalls around financing devices as opposed to or in addition to subsidising them o The scope for analytics to improve c
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csp, advanced analytics, telco, improve credit risk, reduce fraud loss
    
FICO EMEA
Published By: IBM     Published Date: Apr 27, 2017
It’s hard to grow your business if you can’t see what’s coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line. Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your business’ profitability with predictive analytics. You’ll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
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predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
    
IBM
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