Ted Friedman

Vice President
Gartner Research

"The Data Quality Coefficient: Key To Maximizing The Business Value of Information"

Within the Gartner information infrastructure team (of which Ted is a member), research focuses on adoption and usage trends, best practices, and technology developments in the disciplines of data integration and data quality. In his presentation Ted will use data from recent studies, that show how data quality capabilities are (and are not) being applied to maximize the business value of information. He will discuss both current practise as well as evolving/future practise. This presentation is a "must see" for every data quality professional.

Dr. Mathias Klier

Assistant Professor
University Innsbruck

"Marketing effectiveness and DQ"

Companies have serious problems with data quality in their marketing campaigns. An international survey revealed that 67% of marketing managers think that the satisfaction rate of their customers suffers from poor data quality. But how good is a company’s data quality? To answer this question and to analyze economic effects of data quality, well-founded and applicable data quality metrics were developed. In cooperation with a mobile services provider, the metrics were successfully applied to improve both success rates and profits of marketing campaigns.

Sabine Palinckx

CEO
Human Inference

"Value your future"

Business is done by people. Customers, partners, employees or vendors; they all deserve respect and quality. Human Inference helps you to value your business relations, which is the first step towards valueing your future. In this keynote presentation Sabine Palinckx will elaborate on the inextricable link between data value and business benefits.

Stefan Hegglin

Manager Client Facing Solutions
COMIT Schweiz AG

"Customer data as a strategic resource - business cases from the financial industry in Switzerland"

Customer data has been seen more and more as a strategic resource – good data quality helps enterprises to differentiate in the competitive market. This presentation will show how to set up companywide and sustainable data governance programs, by building and implementing data quality business cases.

Jos Leber

Data Manager
T-Mobile

"DQ maturity → past, present and future"

Data Quality must be measured and likewise every organisation should identify precisely where they are and where they want to go with their data management infrastructure. Jos Leber is managing data quality at T-Mobile since 2001. He will present about data maturity models and will link his practical experience to the theory and use of data maturity models.

The presentation will cover:

• Theory and benefits of data (quality) maturity models
• How data mature is your organisation?
• How to use data maturity models in practice?

Mike Turner

Head of MIS
Wolters Kluwer UK

"Data Quality or Quality Data?"

This presentation will demonstrate the benefits of quality data to sales, marketing and service divisions, the challenges faced in answering the data challenge and results achieved, and the plans for future data, which includes extending the single customer view to include social data.

Paul Drenth

Product Manager Data Quality & SAP
Human Inference

"SAP integrations - HIquality for SAP"

This presentation will focus on the importance of data quality in SAP systems. Paul will demonstrate the benefits of the seemless integration of HIquality Suite in SAP ERP and SAP CRM, supporting users in their day to day business processes:

• First-Time-Right entry of new business partners, contacts, debtors and creditors, with validated, standardized and up-to-date contact details (name, address, etc.)
• Prevention and correction of duplicates
• Internal and external file cleansing and matching
• Management of periodical postal data updates

Drs. Jeroen van Dullemen

Manager Customer Data Management
ING Retail

"Data Quality in a large organisation merger"

Data quality played a vital part in the merger of Postbank and ING Bank in the Netherlands. This presentation will address the significance of data quality with regard to customer service, the role of data quality in a large organisation merger and the subsequent data integration methods. In addition, the presentation will go into the distribution of tasks between business and IT and the lessons learned in this process.

Ivan Pellegrin

Principal Consultant
KVL Inspiratie Technologie

"Data Quality: A Management Approach"

Management is often overwhelmed at the prospect of organising a project or program on Data Quality. Where to start? What should be done first? Ivan will guide managers and consultants through a first-things-first practical and inexpensive approach for starting up your Data Quality projects.

François Ruiter

Director Product Strategy
Human Inference

"Future DQ-developments at Human Inference"

Have you ever struggled with the need to clean an entire data file? Put the data in a washing machine? Instead of contemplating the complexity of such a task, we should ask ourselves how we can turn this into an easy process. Selecting meaningful options and having the file sent back to you with cleansed, deduplicated and enriched content. That's what the Data Improver is about. Furthermore, Francois will have a look at the need to lower the total cost of ownership. With Data Quality on Demand there is no need to install the product on your premises; you simply select the services in the cloud and pay per use.  Finally, new, faster and easier ways to integrate data quality functions in your existing products will be discussed - both for OEM's as for organizations with many different input channels. If you are  struggling with multiple countries and if you do want to prevent "dirty" data to accumulate in your systems, you'll be happy to hear about these capabilities ...

Marc Bijl

Business Consultant
Dun & Bradstreet B.V.

"Own your data. Own your future"

How can you achieve a clean and reliable database? Make sure you own your data! This presentation will focus on tips and tricks to cleanse, enrich and maintain your databases. In addition, Marc will show you how to make use of your data to create added (commercial) value for the organization.

Bob Rongé

Data Quality Specialist
Vivium

"How to guide a DQ-project through a migration?"

Bob Rongé is responsible for a DQ-project that started about four years ago from scratch. As a result of this project the quality of the customer data has risen significantly. Today, correct customer data are available for marketing actions and the postal returns are minimal. During the first nine months of 2009 the database was linked to another customer database as a result of the sale of the company to Vivium (part of the P&V Group). What actions were taken to keep the quality of the data up-to-date? … and how will we implement the DQ-idea in the new organisation (and later in other companies part of the P&V group)?

Holger Wandt

Principal Advisor (Host)
Human Inference

"Introduction and Wrap-up"