10.30 - 11.15 The Role of DA
in Managing an Enterprise Portal
Arvind Shah, Managing Principal, Performance Development Corporation
The Enterprise Portal is a central gateway to the processes, databases,
systems and workflows of an enterprise. When personalised to the
job responsibilities of employees via the Intranet, the enterprise
portal provides a seamless, single point of access to all of the
resources that employees need to do their jobs. When further personalised
securely via the Internet and Extranets to the interests of suppliers,
customers and business partners, the enterprise portal becomes the
integrating conduit of the many disparate databases, systems and
workflows each enterprise uses to carry out business with others.
It also becomes a single place to manage rapid enterprise change.
11.15 - 12.30 Know Thy
Data: Monitoring Data Behaviour
Michael Scofield, Director, Data Quality, Experian
Traditionally, Meta Data has focused upon normative definitions
and descriptions of data-'normative' in that it is what some analyst
or designer thinks the data ought to mean, and how it ought to behave.
Many external pressures around the enterprise force it to morph,
and to change its logical business data architecture, and in so-doing,
stress current applications and databases to accommodate new kinds
of data, and uses for existing data elements. In large organisations,
these changes in meaning may not be documented, and may be discovered
only by maintaining surveillance of actual data behaviour in business
databases. Monitoring data behaviour need not be difficult, but
it does require a simple query tool or a 4GL. The behaviour of latent
data ('at rest' in databases) and data flows are both important.
Particular emphasis is given to data from external sources whose
rules and meaning may be (a) volatile and (b) not under your control.
We show a basic plan for setting up urveillance and alarms when
incoming data does not meet specifications.
1.30 - 2.15 Managing Customer
Information Quality in Pan-European Databases - Challenges and Approaches
Danette McGilvray, Customer Information Quality Program Manager,
Agilent Technologies
Does this situation sound familiar: You are a global company with
a common customer information system being used in several countries
throughout Europe. Business uses range from the field (sales reps)
to conventional marketing to more sophisticated Customer Relationship
Management. Knowledge workers have needs from 'within-the-country'
uses and 'central pan-European' uses. Different languages, cultures,
and business needs (such as differing address standards) also complicate
the situation. The information collected and maintained often does
not fit the various needs. Hear how one company, Agilent Technologies,
is tackling this tough situation in Europe. Learn techniques to
improve data quality and manage customer information to meet business
needs.
- Working together - the roles of data, processes, people, and
technology
- Case studies - three European organisations
- Where to focus - and where NOT to focus
- Metrics - make sure they work for (not against) you
- Challenges and best practices
2.15 - 3:00 UML Extends
the Data Modelling Technology Davor Gornik, Marketing
Engineer, Rational Software
UML is the modelling language of software development and expanding
into database modelling, adding new possibilities for better understanding
and design of persistent data. The presentation will explain use
cases, use case realisations, interaction diagrams, class diagrams,
component and deployment diagrams, and their value for data analysts,
data designer, and DBA. The communication is the biggest add-in
for data modelling using UML. For the first time, data analysts
use the same language as the software developer and are full members
of the software development team.
3.15
- 4.05 DAMA International Q& A and Conference Wrap-up