| 08:00–09:00
|
|
"By
invitation" Breakfast |
| 09:00–10:00 |
KEYNOTE |
Conference
Chairman Keynote:
Product Evaluation Criteria
& MarketPulse™ Field Reports for “Top 15” MDM Solutions
Aaron
Zornes, Chief Research Officer, The MDM Institute |
| 10:00–10:45 |
KEYNOTE |
Plenary Keynote
Driving Business Value
from MDM in Times of Uncertainty: Journey to High Performance
Royce
Bell, Chief Executive Officer, Accenture Information Management
Services |
| 10:45–11:15 |
|
Refreshment
& Networking Break in the Exhibit Hall |
| 11:15–12:00 |
KEYNOTE |
Plenary
Keynote
Active & Passive
Data Governance: Managing the Data Life-Cycle for Integrated
ERP
Steve
Barker, European Sales Director, BackOffice Associates
|
| 12:00–13:30 |
|
Lunch
& Networking Break in the Exhibit Hall |
| 12:40–13:25
|
|
Industry
Innovation Session 3 - Sponsored by Cognizant Technology Solutions
MDM - Faster Time to
Value. How Cognizant's MDM-in-a-Box Quickstart Solution Can
Help Realise MDM Benefits Faster
Dileep
Srinivasan, Asst. Vice President – MDM & CRM,
Cognizant Technology Solutions
Ralf Teschner, Business
Consultant, CDI/MDM Practice, Cognizant Technology Solutions
|
| 12:40–13:25 |
|
Industry
Innovation Session 4 - Sponsor TBC |
| 13:30–14:15
|
KEYNOTE |
Plenary
Keynote
Understanding Data Relationships
- A Precursor to MDM
Philip
Howard, Research Director, Bloor Research |
| |
| 14:15–15:00
|
Track
1 |
CASE
STUDY:
MDM Best Practises for the Global Enterprise
Andy
Walker, MDM Lead, BP |
| Track
2 |
Avoiding
the MDM SI Money Pit
Aaron
Zornes, Chief Research Officer, The MDM Institute |
| Track
3 |
CASE
STUDY:
Collaborative MDM for Identity Resolution & Link Analysis
Techniques in Financial Services
Burak
Akusta, Project Manager, IBTECH/Finansbank
Ertu Uysal, Product Manager,
KOMTAS |
| 15:00–15:30 |
|
Refreshment
& Networking Break in the Exhibit Hall |
| 15:30–16:15 |
Track
1 |
Enabling
IT Agility with Help from MDM & Semantic Data Integration
Jean-Michel
Detavernier, Co-Head IT, SMABTP
Pierre Bonnet, IS Consultant,
Orchestra Networks |
| Track
2 |
CASE
STUDY: Extending
the Vocabulary of Master Data Across Enterprise-Wide Business
Networks
Arnold
van Overeem, Global Architect - Sector Products, Architecture
and Infrastructure, Capgemini Netherlands |
| Track
3 |
CASE
STUDY:
Addressing Data Quality “Pain Points” via Data Governance
Frederic
Loriaux, Data Quality Manager, Nestlé France |
| 16:15–17:00 |
Track
1 |
CASE
STUDY:
Data Governance at British Airways: “The Good Times &
the Bad”, or “How We Saved Data Governance from
the Credit Crunch”
Paul
Woodward, Enterprise Data Architect, British Airways |
| Track
2 |
CASE
STUDY:
"Multi-Entity MDM: Adding 'Product' to 'Customer"
Jeanette
Møller, Master Data Program Manager, Nordea Bank |
| Track
3 |
BEST
PRACTISES: Maintaining
Customer Loyalty Though Data Quality & Data Management Practices
Andrew
Bridges, Data Quality Manager, Groupe Aeroplan London |
| |
|
Wednesday
22 April
09:00–10:00
 Back
to top
|
Conference
Chairman Keynote
Product
Evaluation Criteria & MarketPulse™ Field Reports for “Top
15” MDM Solutions
Aaron
Zornes, Chief Research Officer, The MDM Institute
Master data is a critical asset that must be increasingly synchronized
within and beyond the enterprise. During 2009-10, many large
enterprises will focus on MDM by deploying a 3rd
generation database-centric infrastructure to deliver a panoramic
customer view across multiple channels, business lines, and
heterogeneous IT environments. Other “type A” organizations
will undertake phase two of their MDM programs to either go
enterprise wide with a single master entity (customer, product,
or supplier) or endeavour to go “multi-entity” by adding a second
master data domain to the scope. This session will focus on
the "why" and "how" of MDM technical evaluations
for both scenarios by providing insight into:
- Validating the pros & cons of the dominant architectural
models and evaluation criteria – e.g., data models, process
models, scalability, privacy management, etc.
- Inventorying the vendor landscape – e.g., registry, data
hub, EAI/EII, portals, SOA-based web services, data service
provider, etc.
- Applying a rigorous methodology to MDM product evaluations
& implementations for both mega vendor solutions (IBM
MDM Server, Microsoft MDM, Oracle Fusion MDM, SAP NetWeaver
MDM) and best-of-breed (D&B/Purisma, DataFlux, Initiate,
Siperian, Teradata, & Tibco)
|
| Featured Speaker:
|
| |
|
Wednesday
22 April
10:00–10:45
Back
to top |
Plenary
Keynote
Driving Business Value from MDM
in Times of Uncertainty: Journey to High Performance
Royce Bell, Chief Executive
Officer, Accenture Information Management Services
In times of economic volatility, an organization’s best
assets — its information assets — can be critical
to survival. By making data management a part of a comprehensive
information management strategy, companies can work to weather
economic volatility and define a course toward high performance.
Accenture’s Information Management Services(AIMS) will
discuss the importance of managing data across its entire life
cycle to ensure it is accurate, reliable, secure and consistent
throughout the enterprise. This session will discuss the efforts
to implement a global data management program at one of Accenture’s
European clients. Working with Accenture, the organisation defined
a strategic vision spanning data management, metadata, master
data and data quality, and is implementing a global data management
program that will give the company access to correct and establish
reliable data so that it can make better business decisions,
run its business more effectively, and be prepared to weather
economic uncertainty. Insights to be gained from this plenary
keynote include:
- Leveraging a framework and approach to help business leadership
see their concerns in a broader context so that they can
achieve larger possibilities
- Eradicating the complexity of fragmented and inconsistent
master data to grease the wheels of an extended, global
machine
- Establishing a single source of the truth that, in turn,
informs processes and decision making, drives competitive
advantage and allows organizations to pursue strategic initiatives
with greater confidence
|
| Featured Speaker:
|
Wednesday
22 April
10:45–11:15 |
Refreshment
& Networking Break in the Exhibit Hall |
| Wednesday
22 April
11:15–12:00
Back
to top |
Plenary
Keynote
Active & Passive Data Governance:
Managing the Data Life-Cycle for Integrated ERP
Steve Barker, European
Sales Director, BackOffice Associates
Global corporations and companies operating nationally both
struggle with managing the ongoing creation, collection, and
maintenance of their data for their integrated ERP systems.
This session helps determine if there is a logical business
process for master data governance and how to apply it. Examine
the Passive and Active Data Governance applications and methodologies
for governing the creation of master data in SAP, including
automated workflow, scenarios, and rules Solving data governance
issues is not solely a technology problem. Enterprises need
to understand how to overcome the complexities (“politics”)
of building an effective data governance organization. This
keynote will highlight such best practices in proactive data
governance as:
- Creating a data governance organization that can effectively
manage complex data-related relationships, roles, &
scenarios
- Understanding how passive data governance allows users
to interact directly with source systems to monitor results
& identify data issues
- Recognizing how active data governance differs from passive
data governance by providing a guided process for the introduction
& management of data into selected systems
|
Featured Speaker:
|
Wednesday
22 April
12:00–13:30 |
Lunch &
Networking Break in the Exhibit Hall |
Wednesday
22 April
12:40–13:25 |
INDUSTRY INNOVATION SESSION 3 - Sponsored
by Cognizant Technology Solutions
MDM
- Faster Time to Value. How Cognizant's MDM-in-a-Box Quickstart
Solution Can Help Realise MDM Benefits Faster
Dileep
Srinivasan, Asst. Vice President – MDM & CRM,
Cognizant Technology Solutions
Ralf
Teschner, Business Consultant, CDI/MDM Practice, Cognizant
Technology Solutions
MDM initiatives can be highly effective, but first need to overcome
perceptions of complexity and hesitation around cost and time-to-ROI.
Clearly, implementing MDM is not easy. Aside from technology
implications – which can be highly complex – successfully
deploying a full MDM solution requires that multiple business
units and stakeholders agree on data hierarchies and definitions
and are prepared to implement them consistently. That’s
no small task in today’s large, complex and fast-changing
financial world. For this reason alone, enterprise-wide MDM
projects are expensive and time-consuming, the implementation
risk is high and the reward is hard to quantify. This session
will describe a modular approach to implementing off-the-shelf
MDM hub solutions by discussing:
- Creating a strategic vision and roadmap for MDM to extend
deployment beyond customer-facing processes, and foster
unified data views across the enterprise
- Focusing on business-critical customer data needs that
allow organisations to implement MDM features and realise
the benefits quickly.
- Resolving key implementation issues such as ownership
of the data and establishment of data governance processes
|
Speakers:
|
 |
Wednesday
22 April
12:40–13:25 |
INDUSTRY INNOVATION SESSION
4 - Sponsor TBC
|
|
Wednesday
22 April
13:30–14:15 |
Plenary
Keynote
Understanding
Data Relationships - A Precursor to MDM
Philip
Howard, Research Director, Bloor Research
The discovery, understanding and maintenance of data relationships
is vital at all stages within the process of establishing an
MDM implementation. By understanding the relationships that
exist within and across your data sources you are better placed
to decide which data sources, or subsets thereof, to use to
form the foundation of your MDM implementation. In addition,
understanding your data relationships is also key to the process
of creating the MDM system: ensuring that these remain intact
during the migration is fundamental to a successful project.
Unfortunately, discovering and maintaining data relationships
is not trivial. In this presentation, we will discuss in more
detail the importance of:
- Understanding data relationships within the context of
MDM
- Comparing and contrasting the different technologies available
to discover data relationships
- Creating a feature:function evaluation checklist for
relationship discovery tools
|
Featured
Speaker:
|
| |
| |
Customer
Data Integration (CDI)
| Track Sponsor: |
 |
|
| |
Product
Information Management (PIM) Hub
| Track Sponsor: |
 |
|
| |
Data Governance
and Data Quality
| Track Sponsor: |
 |
|
| 14:15–
15:00 CONCURRENT SESSIONS |
| Wednesday
22 April
14:15–15:00
Back
to top |
CASE STUDY: MDM Best Practises for the Global Enterprise
Andy Walker, MDM Lead, BP
A successful MDM strategy results in actionable, accurate information
on business partners so that you can increase revenue, reduce
risk and improve compliance. Regardless of MDM platform, robust
business processes for maintaining quality data are critical
to its success. Key capabilities must include: capability to
readily identify existing business partners’ relationships
and to understand new or potential relationships, as well as
flexibility to adapt to the dynamic and inter-related nature
of customers and vendors. In this session, learn how global
energy leader BP has implemented an MDM solution with access
to high quality, integrated customer and vendor data via these
best practices:
- Championing the key principles of MDM including business
partner authentication, lifecycle management and master
data fitness
- Determining and communicating the business case and benefits
to be derived from a major MDM implementation
- Understanding how to implement a practical MDM program
across an organization by balancing both the centralized
and consolidated MDM models
|
Speaker:
|
|
| Wednesday
22 April
14:15–15:00
Back
to top |
Avoiding
the MDM SI Money Pit
Aaron
Zornes, Chief Research Officer, The MDM Institute
The recent buzz around MDM is rivaled only by the intensity
in which systems integrators and consultancies have “found
MDM religion”. MDM projects typically incur a substantial
amount of systems integration in the first 12-24 months as businesses
wire up their data sources into the enterprise's customer data
hub. Given the substantial investment businesses undertake with
their SI partners, this is an area that must be given scrutiny
- not only in an effort to contain costs, but to insure the
success of this vital infrastructure investment. This presentation
will discuss:
- Determining the evaluation criteria for selecting SI partners
for your MDM projects
- Identifying which SIs are market leaders in your industry
and your chosen software technologies
- Managing the SI relationship from phase zero and POCs
all the way through to systems integration
|
Speaker:
|
|
| Wednesday
22 April
14:15–15:00
Back
to top |
CASE STUDY: Collaborative MDM for
Identity Resolution & Link Analysis Techniques in Financial
Services
Burak Akusta,
Project Manager, IBTECH/Finansbank
Ertu
Uysal, Product Manager, KOMTAS
Founded in 1987, Finansbank is one of the leading banks in Turkey
and operates an extensive network of 458 Turkish branches as
well as activities in ten other countries. Within the Financial
sector, the need for collaborative approach in detecting fraudsters,
criminals, money launderers, etc. is no longer optional. The
use of these collaborative applications is often mandated by
regulatory bodies as in anti-money laundering (AML); or this
initiative is directly taken by the board of banks, in order
to detect/prevent internal/external fraud. Such applications
often require the transactional data to be monitored and the
entire master data set be analyzed to depict hidden relationships
between entities. This session will provide an update on the
challenges on know-your-customer projects within the context
of AML and fraud. Session attendees will be learn about best
practices such as:
- Applying “collaborative MDM” for know-your-customer
(KYC) via identity resolution and link analysis techniques
- Orchestrating the collaborative flow of financial data
across key business units despite it residing in multiple
complex systems and being managed by many different techniques
- Utilizing leading edge techniques for case management
applications in fraud prevention/detection and AML context
– e.g., identity resolution combined with techniques
to identify entities and relationships/linkages in raw tabular
data.
|
| Speakers:
|
Wednesday
22 April
15:00–15:30 |
Refreshment
& Networking Break in the Exhibition Hall |
| 15:30–
16:15 CONCURRENT SESSIONS |
| Wednesday
22 April
15:30–16:15
Back
to top |
Enabling
IT Agility with Help from MDM & Semantic Data Integration
Jean-Michel Detavernier,
Co-Head IT, SMABTP
Pierre Bonnet, IS Consultant,
Orchestra Networks
The IT department of SMABTP (Société Mutuelle d’Assurance du
Bâtiment et des Travaux Publics -- the leading insurer for the
French construction industry) was challenged to keep “master”
product information for insurance policy management sufficiently
flexible to allow for projected growth and partnering opportunities.
By staging an MDM methodology to manage a sustainable and cross-domain
master data program, SMABTP were able to reduce IT maintenance
costs, shorten time-to-market of new insurance products, and
better support the evolving business strategy. Key topics discussed
in this session include:
- Applying cross-domain semantic data integration to avoid
the risk of silo’ed MDM
- Overcoming the “blank page effect” when undertaking master
data modeling
- Assessing an organisation’s maturity model to obtain a
“progressive IT agility” based on MDM and business process
management
|
| Speakers:
|
|
| Wednesday
22 April
15:30–16:15
Back
to top |
CASE STUDY: Extending the Vocabulary
of Master Data Across Enterprise-Wide Business Networks
Arnold van Overeem, Global
Architect - Sector Products, Architecture and Infrastructure,
Capgemini Netherlands
Royal Philips Electronics is one of the largest electronics
companies in the world and as such increasingly needed to attain
synergy across its key sectors – Consumer Lifestyle, Domestic
Appliances and Personal Care, Lighting, and Healthcare. Innovation
is highly prized and nurtured at Philips – pioneering examples
include the compact cassette tape, VCR, laser disk, etc.).
Again, Philips is pioneering in MDM with its plans to tackle
two key challenges with regard to vocabulary standardization
across a very large enterprise (€26.79 billion annual turnover
and 125,000+ employees in more than 60 countries). Therefore,
Philips is tackling both the lack of standard methodologies
to realize a common vocabulary of data definitions within such
a multi-business enterprise as well as need to extend MDM data
domains beyond enterprise borders. Universal Data Element Framework
(UDEF), the open standard foundation for building a controlled
vocabulary, is a viable approach to tackle these challenges
by providing a way to structure the set-up of and increase the
alignment between different vocabularies.
This session will provide an update on the
challenges and successes at Philips regarding cross-enterprise
MDM efforts:
- Understanding what UDEF is and how it is supported as
one of the standards of The Open Group consortium
- Applying UDEF’s methodology and (distributed) vocabularies
to deliver time- and cost-savings in the data definition
and production phase of any enterprise-level MDM implementation
- Organising and staffing the requisite IT and business
positions to effect an enterprise-wide master data vocabulary
|
Speaker:
|
|
| Wednesday
22 April
15:30–16:15
Back
to top |
CASE STUDY: Addressing Data Quality
“Pain Points” via Data Governance
Frederic Loriaux, Data
Quality Manager, Nestlé France
“Master data quality” is critical
to the information systems of the world's #1 food company –
with more than 20,000 products, 10,000 customers and 35, 000
vendors. The goal is worldwide visibility into its data quality
and data management performance, while providing tools to enable
markets to take corrective measures and to drive continuous
improvement. The two main business-driven activities are:
(1) Data Control and Approval, and (2) Data Performance. Master
data “pain points” could arise anywhere and everywhere, for
example, a “material” requires more than 200 fields. Moreover,
data quality is expressed via different dimensions: completeness,
uniqueness, accuracy, consistency, non-obsolescence. This combination
of dimensions by data fields by items lead to an immense challenge
for IT. At Nestlé, risk analysis is the primary means to assess
criticality of impact versus its probability. Initial findings
lead to proper audits to confirm the risk analysis with the
end goal to corrective actions and regular KPIs. These are embedded
in a Data Quality Assurance framework, adapted from industry
to enable an increasing degree of Data Governance. Attending
this session, attendees will learn about best practises such
as:
- Leveraging a Data Governance steering committee to assess
the real magnitude of data quality
- Applying risk analysis as the entry key to weigh and address
sub-optimal data quality
- Adapting a industry-derived Data Quality Assurance model
as part of the long term DQ roadmap
|
| Speaker:
|
| 16:15–
17:00CONCURRENT SESSIONS |
| Wednesday
22 April
16:15–17:00
Back
to top |
CASE STUDY: Data Governance at British Airways: “The
Good Times & the Bad”, or “How We Saved Data
Governance from the Credit Crunch”
Paul Woodward, Enterprise
Data Architect, British Airways
For British Airways, a full service global airline, the corporate
goal of “One Destination” has seen a number of recent
challenges – with a particular challenge this past year
being the credit crunch. This session chronicles how BA’s
data team established Data Governance at BA and then changed
their approach to ensure data governance continues whilst money
is in short supply. The goal of a “customer-enabled British
Airways” has been underway for the past five year with
the purpose of better servicing Executive Club members, online
budget travelers, etc. as well as other valued business and
leisure travelers, in the market-appropriate manner. Knitting
together these numerous data sources (Teradata, SAS, Oracle,
SAP, Business Objects etc.) across multiple business units in
normal times would constitute a challenge. Despite a recessionary
economy and respective travel market issues, British Airways
has implemented data governance within the organisation albeit
with changes made to the program as a result of the credit crunch.
This session will provide insights into the rolling out of the
data governance processes and organizational structures by discussing:
- Championing & selling data governance to the business
- Defining the processes & designing the organisation
- Implementing the initial business area
|
Speaker:
|
|
|
Wednesday
22 April
16:15–17:00
Back
to top |
CASE STUDY: "Multi-Entity MDM: Adding 'Product' to 'Customer”
Jeanette Møller, Master
Data Program Manager, Nordea Bank
Growth through acquisitions has led Nordea to become one of
the largest banks in the Nordic region – serving 10+ million
customers in more than 10 different countries across 100+ master
data solutions. Pursuing an organic growth strategy going forward,
it is absolutely imperative to give customers a highly professional
and consistent experience at all touch points – and to respond
with the same, correct, and up-to-date information related to
the specific customer addressing the customer’s need in a most
efficient and effective manner. “Multiple entity MDM” provides
the potential for giving customers “one-stop
shopping” by leveraging and integrating the individual
assets from the diverse 10+ multiple entities – major ones being
Customer, Product, Agreement, Organisation, and Employee. Learn
from this bank’s pioneering MDM journey as they drive a
series of innovative projects to accelerate business transformation
across their enterprise through focus on multi-entity MDM.
The session will address the ever relevant topics
of business buy-in and the MDM business case as well as the
specific topics of:
- Rationalising the considerations
when choosing an MDM solution for a multi-entity MDM
strategy
- Meeting business KPIs through
multiple MDM deployment
- Applying best practises to keep
and accelerate the MDM initiative’s momentum
|
Speaker:
|
|
|
Wednesday
22 April
16:15–17:00
Back
to top |
BEST
PRACTISES: Maintaining Customer Loyalty Though Data Quality
& Data Management Practices
Andrew Bridges, Data Quality
Manager, Groupe Aeroplan London
As one of the world’s leading owners and operators of
multi-company loyalty programmes, Groupe Aeroplan London provides
services to millions of Nectar card customers. Their customer
service includes two million contact centre inquiries per year,
200 million personalised emails, and over 600 highly personalised
direct marketing campaigns. The key to Nectar’s continued
success is maintaining collector and sponsor trust – therefore
data privacy, data quality, and data management are a fundamental
business requirement.
Attend this session and learn how the best practices of high-end
direct marketing can be universally applied to MDM and data
governance strategies of your industry as well as via topics
discussed such as:
- Delivering a universal name and address matching process
to enable household, individual and business level services
- Applying geographic data and address cleansing technologies
to better engage sponsors and collectors
Anticipating and supporting the evolving role of the Data
Analyst to enable smaller, more targeted campaigns, more sophisticated
targeting techniques and more privacy and compliance mandates |
Speaker:
|
| |
|
|
