Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud
and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes
need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a
Government Fraud Solutions Architect within the SAS Security Intelligence practice.
Profound developments in business telephony have left some small businesses reeling under perceptions of a steep learning curve for expensive new products. But there’s no reason to be left behind. Affordability is the hallmark of the new generation in business telephony, thanks to hosted IP and other networked solutions. Is your business applying the new technology to best advantage?
Published By: SPSS Inc.
Published Date: Mar 31, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
This paper will outline the value and methods involved in data mining across both quantitative and qualitative data. In addition, it will describe the data transformations necessary before doing such work, and the tools that are particularly valuable for mining mixed data types.
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.
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.
The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
Published By: TeamQuest
Published Date: Dec 19, 2014
Businesses are constantly putting pressure on price, performance and reliability of IT services and infrastructure. Recent adoption of technologies such as virtualization, dynamic computing and various forms of cloud computing coupled with changing management paradigms has raised the stakes even more. This ruthless drive for efficiency calls for the use of more sophisticated optimization methods. It is safe to say that if you don’t, chances are you will be “done” by others who do.
When mobile is done right, businesses reap the benefits. Companies using mobile analytics see an 11.2% increase in marketing ROI compared to a 15.9% decrease for companies that don’t. The Aberdeen Group report, Mobile Analytics: Precision Marketing across Mobile Touch-Points, provides insights into better mobile strategies.
Download our new white paper, Top Analysis Tips & Tricks for 2015, to discover best practices for marketing analytics success. Packed with practical advice from digital marketing experts and industry insight from Web Analytics Demystified, this hands-on guide will help you unleash the power of your Adobe Analytics solution so you can:
• Implement advanced segmentation strategies
• Make the most of marketing attribution
• Build models for predictive analysis
Published By: MaritzCX
Published Date: Nov 29, 2016
Learn and recognize the five signs that your financial customer is becoming a customer prospect. This paper will teach you the characteristics of customer prospects, how to win back and identify at-risk customers, identify patterns and predictive behaviors, and how to use your CX data to help you retain your customers.
IBM SPSS Modeler is a powerful, versatile data and text analytics workbench. Learn how you can build accurate predictive models quickly and intuitively, without programming. So you can use data to understand the current state of your organization and get a view into the future.