fraud analytics

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Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: IBM     Published Date: Jan 26, 2017
By taking full advantage of the integration and advanced capabilities currently being offered by leading counter fraud solution providers - including predictive analytics and cognitive computing - enterprises can expect to achieve significantly better outcomes.Aberdeen Group's analysis helps to quantify the value of counter fraud analytics in the insurance industry.
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ibm, analytics, fraud analytics, insurance, fraud, finance
    
IBM
Published By: Akamai     Published Date: Jun 04, 2010
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
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akamai, predictive, online advertising, tracking pixels, online shopping, in-market, site visitors, performance marketing
    
Akamai
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Today, businesses pour Big Data into data lakes to help them answer the big questions: Which product to take to market? How to reduce fraud? How to retain more customers? People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast. The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
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Waterline Data & Research Partners
Published By: BAE Systems     Published Date: Dec 29, 2015
Learn about the challenges involved in combating first-party fraud and emerging best practices
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bae systems, applied intelligence, fraud, first-party fraud, financial institution, network analytics, detection, prevention
    
BAE Systems
Published By: ParAccel     Published Date: Dec 16, 2010
This solution brief explains how Fidelity Information Services (FIS) executives realized that they needed an analytics database solution that could keep up with additional fraud complexity as well as much larger sets of data to improve detection rates.
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paraccel, analytic database, financial fraud analytics, fidelity information services
    
ParAccel
Published By: ParAccel     Published Date: Nov 15, 2010
This solution brief explains how Fidelity Information Services (FIS) executives realized that they needed an analytics database solution that could keep up with additional fraud complexity as well as much larger sets of data to improve detection rates.
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paraccel, analytic database, financial fraud analytics, fidelity information services
    
ParAccel
Published By: IBM     Published Date: Sep 25, 2013
Learn why an Enterprise Fraud Management Platform allows for data to be shared more efficiently while simultaneously applying analytics to prioritize workflows, which will increase productivity per employee and assist insurers in detecting emergent fraud patterns in order to reduce loses.
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investigation management, investigation management team, fraud, enterprise fraud management platform, fraud management, data, analytics, fraud detection
    
IBM
Published By: HP     Published Date: Jan 20, 2015
Security breaches can happen anywhere in an organization, and having the ability to analyze any form of data can give you the edge against fraud, theft, and infiltration by pinpointing abnormal behavior patterns. Understanding your security vulnerabilities requires rapid, deep analytics against business data, machine data, and unstructured human information.
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big data, hp haven, scalable, secure data platform, ecosystem, security
    
HP
Published By: IBM     Published Date: Jul 24, 2012
Tax revenues have been declining recently and some of this loss is caused by fraud, tax evasion, and various forms of tax cheating. The ineffective recovery techniques can give government agencies poor results, which results in 20% of broad-approach audits ending in "no charge". By using IBM SPSS Predictive Analytics Solutions it is possible to maximize revenues, analyze the data you already collect, detect non-compliant accounts efficiently, and identify important differences in tax records. This program has tremendous power and features an easy to use interface that focuses investigations on case that yield large adjustments ensuring a successful ROI for clients.
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tax revenues, fraud, ibm, business analytics, spss solutions, tax cheating, roi, insurance
    
IBM
Published By: SAS     Published Date: Mar 01, 2012
This white paper provides a top-level overview explaining what business analytics can do for your company - and the 8 key steps to accelerating product innovation, optimizing pricing and discovering drivers of financial performance.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
The traditional managed reporting approach to BI is challenged to keep up with changing demand for business information. This research finds that providing business users with highly visual/interactive tools can help ensure they get what they need.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
Learn about the emerging best practices for mobile BI usage and the framework by which you can assess your own management capabilities for enterprise mobile BI adoption.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
This white paper reveals the results of a Bloomberg Businessweek Research Services survey of 930 respondents globally on the current state of business analytics within organizations. You'll discover how and why the use of analytics is growing!
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
Learn what criteria distinguished certain companies as top performers within the SMB sector, the factors to consider when assessing your organization's BI competency and the required actions to achieve best-in-class performance.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
How does an organization make the best use of data, and what is the proper role of IT? This paper describes how organizations can foster a culture of data analytics that promotes cooperation and collaboration between IT and business.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
This paper shows the results of the survey, as well as trends and expert opinions focusing on why some top organizations are able to successfully extract insight from "big data."
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
This paper defines predictive analytics, then details ways this type of analytics can be applied to marketing, risk, operations and more. It also includes information relevant to a wide variety of industries - from manufacturing to hospitals.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Mar 20, 2012
The banking sector routinely manages massive amounts of data, ranging from financial transactions to customer, operational and regulatory data. All this data means big challenges - but also big opportunities - for the industry. Find out more now!
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: IBM     Published Date: Jul 12, 2016
Join us for a complimentary webinar with Mark Simmonds, IBM big data IT Architect who will talk with leading analyst Mike Ferguson of Intelligent Business Strategies about the current fraud landscape. They will discuss the business impact of fraud, how to develop a fraud-protection strategy and how IBM z Systems analytics solutions and predictive models can dramatically reduce your risk exposure and loss from fraud.
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ibm, z systems, fraud loss reduction, fraud management, fraud prevention, fraud analytics, roi, security
    
IBM
Published By: SAS     Published Date: Feb 29, 2012
In this white paper, Ian Henderson of Sword Ciboodle and Retha Keyser of SAS describe what that ideal can look like and how to achieve it.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Feb 29, 2012
This paper presents technologies and recommendations for not only surviving, but thriving, as a marketer in today's demanding and dynamic business climate.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Feb 29, 2012
This paper presents the 5 most common practices that result in losing a customer and how to avoid those pitfalls. You'll also learn how more customer-centric measures can help you deepen and grow relationships with your most valuable customers.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Feb 29, 2012
This white paper includes practical, candid and irreverent advice from Scott on what it really means to be real time in marketing and PR.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Feb 29, 2012
In a webcast co-hosted by the AMA and SAS, presenters described three areas of focus for using social media, and the five best practices for being effective in social media. This paper provides a summary of that webcast.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
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