Interview with Dr Richard D. De Veaux
De Veaux is Professor of Statistics at Williams College, but for next year (2006/7) he will be the Kenan Visiting Professor for Distinguished Teaching at Princeton University. De Veaux has been a consultant for over 20 years for such Fortune 500 companies as Hewlett-Packard, Alcoa, American Express, Bank One, GlaxoSmithKline, Dupont, Pillsbury, Rohm and Haas, Ernst and Young, and General Electric. Predictive Analytics Insight had an exclusive interview with him.

+50 to +75 percent greater conversion on direct marketing campaigns
Financial services are primarily aiming for customer satisfaction. After all, various banks offer almost the same products. In the competition for customers satisfaction, it is essential understand individual customers’ needs. Predictive analytics enables Fortis Bank to make better target group selections and to do proposals that fit in well with the wishes and expectations of their customers.

Web analytics needed for multichannel CRM
While the data that many organizations rely on provides superficial metrics, it doesn't increase customer understanding or, for example, determine how online customers might compare to customers in other channels. This article helps to identify the issues you should consider when developing a Web measurement and analytical strategy and will help you understand the range of Web analytics available.

Real-time marketing: the role of predictive analytics software in call centers
Analytical technology is increasingly being deployed in call centers. A call center conversation is by definition a one-to-one contact and therefore an ideal opportunity for a fully personalized customer approach. Read about the many ways in which the ability to predict and act upon customer needs in real time can contribute to reducing costs and increasing revenues.

Natexis Assurances
Natexis dedicated significant portions of its marketing budget to direct mail campaigns that are followed up on by the local branches. Since branch participation is discretionary, it is crucial that the marketing department demonstrate that its campaigns generate high-quality responses. Read about how predictive analytics enables Natexis Assurances' marketers to efficiently create and execute their outbound marketing campaigns and measure true ROI.

Insurance: minimize claims risk and maximize customer value
In today's volatile market, insurance claim losses and unprofitable customer relationships can quickly overwhelm an insurance provider. Predictive analytics solutions help insurance companies minimize claims risk and maximize customer value by integrating real-time analysis within their existing systems and processes.

Nucleus Research finds customers realize positive returns from predictive analytics
Read an in-depth evaluation report that shows how companies can improve marketing ROI.

Merck Sharp & Dohme
Like any other profession, the medical industry is comprised of a vast array of beliefs and opinions. MSD needs to capture and understand what doctors are saying out in the field and be able to pass the analyses on so it can create effective marketing campaigns for the drugs MSD manufactures. Read how MSD solves this problem.

Interview with Dr. Joseph Hair
Dr. Hair is Professor of Marketing at Kennesaw State University, USA and a visiting Professor at Henley Management College, UK. He has published 44 books, including market leaders Marketing, Thomson Learning, 8th edition, 2006, used at over 500 universities globally. Predictive Analytics Insight had an exclusive interview with him.

Leading Danish insurer improves claim handling and customer service
Leading Danish insurer ALKA is fighting customer fraud and enhancing customer services with a predictive analytics application. Recently they purchased and implemented the software to reduce the cost of fraudulent claims.

Maximizing the Business Value of Customer Insight: Three Critical Ingredients for Success
Businesses have lost the customer focus they once had. However, recent experience shows that in order to improve corporate bottom lines and gain a competitive advantage, this focus must be regained. Read about the three critical ingredients for success.

Actionable Mining and Predictive Analytics for the Applied Public Safety and Security Community
Read about how the same tools that are being used for business intelligence on a daily basis can be used to support safety and security. Predictive analytics have proven to be an extremely effective approach in the identification, characterization, modeling, and prediction of potential threats.

KPN Mobile saves more than 1 million euro through more efficient and effective direct marketing process
The telecom market is a very competitive market. The average churn percentage of customers in the mobile telecom market is approximately 20-25 per cent. Read about KPN Mobile who believes predicting customer behavior and needs is an important method to further improve the effectiveness of direct marketing campaigns.

How to deploy a successful multichannel customer contact approach
Today businesses increasingly choose to implement predictive analytics software that allows them to better understand and predict individual customer behavior and directly act upon this knowledge in their marketing or call center environments. Read about how this can be done successfully.

Telecom: Effective Customer Marketing
Using predictive analytics, telecom companies develop effective customer retention strategies, acquire new customers, and detect and prevent fraud. These organizations also employ predictive analytics to design and implement customer-friendly marketing programs and campaigns.

Butler Group performs Technology Audit of an Enterprise Platform for Predictive Analytics
Read a report on the value of having an integrated Enterprise Platform for Predictive Analytics (EPPA) in place.

Interview with CRM guru Don Peppers
Recognized for over a decade as one of the leading authorities on CRM strategies for business, Don Peppers is an acclaimed author and a founding partner of Peppers and Rogers Group, the leading customer-centered management consulting firm. Predictive Analytics Insight had an exclusive interview with him.

Ask the expert
Increasingly, organizations get the benefits of predictive analytics. An expert out of the field tells you what the five best practices for analytical projects are. A must read for organizations who are at the beginning of implementing predictive analytics into their organization.

Rabobank aims to strengthen its position as a market leader
Financial services provider Rabobank deploys predictive analytics to create and execute targeted direct marketing and lead generation campaigns. As a result, the company has considerably increased the success rate of its actions, while decreasing the completion time for campaigns by two to four weeks.

Saga has a solution to improve the effectiveness of its mail campaigns
Predictive analytics helped holiday and financial services provider Saga in the UK to achieve $1.5 million additional revenue on just two marketing campaigns, by marketing to new and promising customers that were not usually targeted, which enabled the company to continue to grow the size of its business.

How to increase customer satisfaction, decrease costs and detect more fraud in insurance claims handling
New technological developments are offering to resolve these three issues in insurance. Read more about how fraud detection solutions can be integrated with existing claim handling systems in order to provide claim handlers with an instantaneous advice on how to handle a particular claim during the notification process.

Combining market research and predictive analysis will enable shift from mass to micro-marketing
In order to satisfy today's customer, major marketers must shift from casting a wide marketing net over a vast crowd to selling to millions of individual customers. Read about the opportunities and challenges to market researchers.

Finance: gaining key customer insight
Market forces such as mergers, globalization, intensifying competition, and new regulatory requirements are radically altering the financial services landscape. Leading financial services firms are prospering during this turbulent time by applying predictive analytics to their most valuable asset - customer data.

Butler Group presents findings of predictive analytics solution for claims handling
Read about Butler Group’s Technology Audit on a predictive analytics solution (e.g. PredictiveClaims from SPSS). This application helps insurance companies detect and control fraud and improve the efficiency of the claims handling process.