PRESS RELEASE

Online and Offline become 1 with FinWEB Customer Online Targeting

Company: FinScore (www.finscore.com)
Release summary: Customer Online Targeting is a software for personalizing web site interactions based on the fusion of customer and web behavior data. This maximizes the value of company web sites and turns them into a truly customer oriented channel.
Date of issue: 02nd August 2010
Contact: Frank Block, FinScore, + 41 (0) 21 647 77 13, contact form

Lausanne, Switzerland – August 2nd, 2010: FinScore has found the answer to the question of how to personalize visitor website experience by predicting behavior and interest affinities: FinWEB Customer Online Targeting. By automating advanced data mining techniques and applying them to the fusion of offline and web behavior data, the road to precise and actionable customer knowledge on the web has been paved.

In today’s oversaturated product market, companies find it hard to increase customer loyalty. They do not offer personalized website interactions, which is crucial to satisfy ever more demanding customers.  By keeping CRM and web data strictly separate, companies could not exploit the full potential of available data. Finally, the business case for websites remains weak since their true contribution to sales and customer acquisition remains blurred as they lack integration with other communication channels.

FinWEB has now taken "personalization" to the next level and delivers the right messages, products, and banners to the right web site visitors by applying leading edge analytics. It integrates online and offline data to generate more customer knowledge and more valuable insights that can be reused for enterprise data warehouses, business intelligence and CRM systems. Furthermore, FinWEB enables companies to consistently communicate to their customers and prospects across all channels including websites.

FinWEB turns the web into a truly personalized channel to generate more leads, acquire new customers, cross- and up-sell to existing customers and help retain them longer. The software enables a unique visitor experience by generating recommendations for three types of web site elements:  targeted placement of editorial elements, products, and advertisements (banners) that maximize the affinity to the website visitor. This leads to increased visitor satisfaction, more sales and higher click-through rates.

Large companies are already successfully applying FinWEB. Our customers say: "FinScore is a unique provider of insightful expertise in analyzing and predicting customer behavior and interests to optimize and personalize the user experience on our company portals. The company’s strength lies in creating knowledge and software for predictive customer behavior and interest analytics. We leverage this capability to drive web content and increase the attractiveness of enterprise portals for customers and partners".

Read more about FinWEB Customer Online Targeting

About FinScore
FinScore SA is a unique provider of software and services for data quality, customer and web intelligence, and reporting. Our clients are active in banking, telecommunication, insurance, and other domains. FinScore’s software processes huge amounts of transactional, behavioral and socio-demographic data to offer a visual and interactive experience that helps companies learn more from customer interactions and anticipate customer needs to better serve them. Our software can be seamlessly integrated with today’s information systems.

Contact
FinScore SA : Dr. Frank Block, CEO, FinScore, Chemin de la Rueyre 116-118, CH-1020 Renens, Switzerland, www.finscore.com, contact form

1st International Conference on Information Quality: John Talburt, Frank Block, Michael Mielke and Larry English were Key Presenters at 300-Strong Meeting'Quality of Information in Brazil' Study Points to the Level of Importance of This AreaPR Newswire

SAO PAULO, May 14, 2010

SAO PAULO, May 14 /PRNewswire/ -- Promoted by QIBRAS - Qualidade da Informacao Brasil and sponsored by the Massachusetts Institute of Technology (MIT), the 1st International Conference on Information Quality was held yesterday (May 13) in Sao Paulo, Brazil. The co-founders of the association, Guilherme Rocha (System Marketing) and Flavio de Almeida Pires (Assesso), underscored the importance of forming the Association, whose creation in February 2010 was the result of studies undertaken in partnership with MIT a year ago. 

Representing MIT, John Talburt, post-graduate professor of Information Quality at the University of Arkansas, Little Rock, opened the morning discussion, during which he said, "The creation of QIBRAS is extremely important. I am highly optimistic that the association will mean increased business in Brazil."

Frank Block, information quality consultant and founder of FinScore SA/Switzerland, had this to say, however, "Information management in companies should not be a privilege of the IT area, but be associated with the company's line of business and management of the business."

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1st International Data Quality Conference May 13, 2010, São Paulo, Brazil

Hosted by Quibras

FinScore CEO and founder Frank Block is invited as key-note speaker on data quality and will present a solution for managing data quality such as to maximize its positive impact on the achievement of company key performance indicators. A model that relates data quality indicators and KPI will be described.

Conference website

FinWEB Targets Behavior Tying Offline Data With Web Analytics

By Laurie Sullivan for MediaPost Blogs: Behavioral Insiders

FinScore consultants believe they have created a successful method to integrate offline and online date to target consumers on specific sites. The application began as a pilot project for a telecommunications company in Switzerland. 

Scheduled for public release within the next few weeks, the platform dubbed FinWEB combines and matches customer offline CRM data with their online behavior to create what Sandro Saitta, a consultant at FinScore S.A., calls an "extended profile."

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Data Mining Anwendertag, Heidelberg

Weitere Infos auf der SAS website