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09:30-17:00
MDM Workshop
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Aaron Zornes
Founder & Chief Research Officer
The MDM Institute |
Here's a rare chance to improve your success as an enterprise architect,
CIO, CTO or other IT professional embarking upon your first MDM
initiative.
During your focused tutorial, you'll learn the best practices every
IT professional must know to fast-track success and minimize risk.
This is your pre-conference opportunity to ask the questions and
set your own personalized agenda to maximize your MDM SUMMIT experience
the following two days. Combining presentations, small group discussions,
and case studies, the MDM Boot Camp's proven agenda is practical,
personal, and uniquely tailored to the needs of the participants.
- Establishing key MDM strategic planning assumptions
- Business imperatives 2009-10
- Technical challenges 2009-10
- Deployment strategies
- Justification strategies
- MDM futures
- Determining MDM evaluation criteria
- "Top 10" evaluation criteria in use by large IT
organisations
- Reviewing case studies as templates for “out of box”
MDM strategising
- Requirements on industry "use case" basis
- Leveraging the experience & opinions of others via MDM Field
Reports
- Software – D&B/Purisma Data Hub, DataFlux, i2
MDM, IBM MDM Server (WCC/WPC), Initiate Systems Master Data
Services, Microsoft MDM, Oracle (Customer Data Hub, Universal
Customer Master, & Hyperion DRM), SAP NetWeaver MDM, Siperian
Hub, Sun MDM Suite, Teradata MDM, TIBCO CIM, & VisionWare
- SIs – Accenture, Atos Origin, BearingPoint, Capgemini,
Cognizant, Detica, HP/EDS, IBM GBS, et al
- Q&A & wrap-up
09:30-17:00
Product Information Management (PIM)
Tutorial
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Jeff
Chapman
Vice President, Professional Services
Liaison Technologies |
Lack of either a “single unified view” of product,
supplier or distributor can seriously harm your business. Business
management is struggling to meet business objectives due to the
lack of "single view of the product" across multiple channels
and business lines to facilitate their enterprise’s customer-centric
growth strategies. This tutorial/workshop will provide an introduction
to product information management (PIM) hubs and help get newcomers
up to speed before tackling more advanced MDM topics during the
main conference.
Questions to be addressed include: How PIM differs by industry and
which approach is best for your organization? How dos PIM address
various use cases such as e-commerce, discrete manufacturing, and
process manufacturing? How does PIM align with enterprise-wide MDM
initiatives?
This lively day will provide key insights into these main topics:
- Why PIM data hub instead of ERP?
- Pros and cons of multi-entity hub (i2, IBM, Oracle, SAP, Siperian)
vs. best-of-breed PIM data hub (QAD/Fulltilt, Heiler Software,
Riversand, Silver Creek Systems, Stibo Systems)
- Overview of business drivers
- Overview of technology challenges
- Overview of key vendors
- Overview of best practices
09:30-17:00
Data Governance & Data Quality
Workshop
Spend a day with three of BT's gnarled,
wizened and mightily experienced Data Quality consultants! Discover
why Data Quality is a business rather than an IT issue.
This workshop will help you understand why data quality issues
lie at the heart of almost all business problems. Find out how BT
began its Data Quality journey and developed principles, methodologies
and governance structures to drive cost savings in its core business.
See how BT's DQ programme facilitated the early implementation of
MDM, and formed the basis of the company's current MDM strategy
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Then try it for yourself as CIO of the fictional Gwesty hotel and
casino group. It has some business survival issues that need to
be sorted out and quickly if it is to thrive in the cut-throat hotel
and casino business sector. Be warned though it's not for the faint
hearted. You have to do some work. This is not a 'chalk and talk'
session. You'll be expected to identify the business issues and
link them to the underlying data quality issues and come up with
some proposals to make improvements. Enjoy -- it'll be great fun.
The day will look like this:
- Overview of the History of DQ in BT -- how we got to where we
are now -- business drivers, how governance structures were developed,
journey through DQ maturity short case studies of the projects
we did at each stage and why, success stories.
- DQ Principles and DQ Methodology -- How we did it, why we did
it in that way, use of tools for data profiling, development of
business cases, implementation of solutions, go/no go decisions,
DQ measures.
- Case Study -- a hotel group with significant business challenges.
Working in groups of 4-6 the class will conduct a business dependency
matrix and work out how each of the problems identified could
or may be attributed to a data quality problem. Then using the
methodology discussed earlier come up with business cases and
solution proposals to be presented back for discussion/debate
to the rest of the group.
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