MDM & Data Governance Summit Asia Pacific 2014

DAY TWO - Wednesday 30 July 2014

08:30 Welcome and coffee

08:45 Review of Day One

INTERNATIONAL KEYNOTE PRESENTATION

09:00 Field Reports for Top 10 MDG Solutions

Data Governance for MDM is moving beyond simple stewardship to convergence of
task management, workflow, policy management and enforcement. And to make it
even more “career challenging”, the evaluation of Master Data Governance (MDG)
solutions is critical to the success of most large-scale enterprise MDM programs.
Through 2014-15, most enterprises will struggle with MDG while they initially focus
on customer, vendor, or product. Moreover, integrated and active MDG that includes
end-to-end data lifecycle support will increasingly be mandated as a phase 1 MDM
program deliverable. This session will provide an overview of the top 10 evaluation
criteria used by many organisations to evaluate such MDG capabilities— whether
standalone or integrated with an MDM platform. By 2014-15, vendor MDM solutions
will finally move from “passiveaggressive” mode to “proactive” Data Governance mode.
This session will focus on the “why” and “how” of MDM platform technical evaluations:

Understanding the pros and cons of passive, active and integrated MDG capabilities
Assessing the vendor landscape – e.g., mega MDM vendor offerings (IBM MDPM; Informatica IID, Oracle DG Framework, SAP MDG. SAS Data Governance) vs. best-of-breed offerings (Ataccama, Collibra DG Central, Kalido DG Director, Winshuttle, etc.)
Applying a rigorous methodology to product evaluations by applying the MDM Institute’s top 10 evaluation criteria for MDG solutions

Aaron Zornes, Chief Research Officer, THE MDM INSTITUTE (USA)

AWARD WINNING INTERNATIONAL CASE STUDY

09:50 Database Permit – Data Governance & Quality Framework

The business mandates single version of truth. The ever-increasing footprint of
databases raises issues of data quality and increased cost overhead due to redundant
maintenance and security. The database permit is an innovative approach to data
governance that enables business agility. In this award-winning innovative case study,
Rashmi will share insights into how Metlife:

Planned and deployed the framework in three waves over 18 months
Created a high level roadmap and provided a framework, which can be applied to any organisation
Designed a service model that described IT policy, architecture standards and engagement model with partners
Incorporated processes into the operational model to ensure enterprise application development adoption, integrated with project lifecycle (SDLC) and Remedy request workflow
Utilised dashboards with KPIs to drive project delivery
Managed the human element – communicating, training and managing the team and reviewing performance

Rashmi Gupta, Data & Information Manager, METLIFE (USA)
This case study was the winner of the “American Financial Technology Award for Most Innovative Data Management”

KEYNOTE PRESENTATION

10:30 Harnessing Big Data to Improve Governance in a Hyper-connected World

The network economy is here, it’s the next economic revolution. We are all feeling it with new businesses that offer networked experiences like Uber, airbnb and new devices such as fitness bracelets, connected watches and sensors everywhere including soccer players on the field. It is the start of unprecedented change fuelled by hyper-connectivity. Hyperconnectivity is reinventing the world economy; individuals, businesses and societies are becoming inter-connected in real time, leading to a new “Networked Economy” that is simultaneously more collaborative, intelligent, responsive, and efficient with dramatic increases in productivity and economic value. The network economy is digitized and tracked as we measure every move we make in all facets of personal and business life. It is connected – every device, system and service we use. Its transforming business to provide greater customer loyalty, open innovation, and resource abundance. Every corporate business knows that transformation is upon their industry or it is coming as a result of hyper connectivity. At the end of the day, hyper connectivity translates to a lot of data, the bigger and more varied it is - the more important it is to derive trusted insights from it and allow the business to take advantage of it. Plan for the networked economy now, so you can activate, optimise and transform for growth. See how SAP can help with Connecting businesses, Connecting people, Connecting “things”, Connecting data and Connecting processes so you can maximize the business value of your data.

Ryan Blackwood, Regional Director – Database, Technology and Analytics, SAP

11:00 Morning refreshments and networking opportunity

INTERACTIVE PANEL DISCUSSION

11:30 Building Enterprise Data Governance and Data Quality Capability

Although enterprise Data Governance, Master Data Management and Data Quality are
often seen as separate processes, they are in reality mutually dependent. This panel will
focus on the differences between DG, MDM and DQ, how they fit together and how
they are all key aspects of the same business drivers.

Defining and discussing DG, DQ and MDM: features, differences and interdependencies
Creating a culture of data integrity – linking people, processes, policies and practices
Critical success factors: What are the main impediments to achieving data quality and data governance excellence
Lessons from the coalface: If you had your time again, what would you do the same or different?
What do you know now that you wish you had known then?
And the number one recommendation is…..?

Panellists:
Glenn Goodman, Head of Business Systems & Data Quality, ANZ BANK
Gabrielle Harrison, Senior Data Analyst, RMIT UNIVERSITY
Darshil Mehta, Data Governance Manager – Consumer & Operations, GE CAPITAL
Ken Self, Global Data Manager, Strategy & Standards, Shell Group

INTERNATIONAL KEYNOTE PRESENTATION

12:10 Five Steps to a Successful MDM Implementation

Spearheading the organisational change required to implement Master Data
Management at your company is challenging. This talk walks through the fundamental
steps required to ensure success over the short and long term. Drawing on real-world
case studies from some of the worlds largest companies it presents all of the areas to
avoid and those that guarantee success.

Resourcing your project
Selecting the best partners, creating a realistic timeline
Getting executive approval to get your MDM strategy up and running

Erin Burrell, Managing Consultant, STIBO SYSTEMS (NZ)

CASE STUDY

12:40 Next Generation e-Health – Delivering Trusted Healthcare in the
Cloud

Innovative Australian company, SmartClinics, have established one of the country’s
first cloud-based primary health care systems. In this session, SmartClinics’ CIO,
Staffan Flodin, will share insights into this ground breaking initiative. Some of the key
points he will cover include:

Healthcare in the cloud – considerations, benefits and challenges
How do you manage patient identity/identifiers to get a single, integrated view?
How do you ensure information & data quality, integrity and governance?

Staffan Flodin, Chief Information Officer, SMART CLINICS

13:10 Lunch in the networking and exhibition hall

International Keynote Presentation

14:00 Multi-Dimensional Master Data Management

There are critical questions that every enterprise needs to be able to answer about
Master Data Management, which are, “What does MDM Mean? What does it mean to
us? What benefits will it bring? Do we want it? How do we get it?” This keynote talk
will enable every enterprise to be able to answer these questions. This session will
unambiguously;

Define, in plain English terms, what Master Data Management (MDM) means and why it is vital for every enterprise to be clear about this meaning. It will define what is ‘in’ and, just as importantly, what is ‘out’.
Debunk many of the myths and fallacies that surround MDM that prevent it from being effectively implemented and provide clear, pragmatic business definitions that lead to success.
Show how to identify those elements that are essential for successful MDM and explain how knowing these enables an enterprise to build a roadmap to achieve fully integrated MDM across the breadth of enterprise and along the length of the supply chain.

John Owens, Founder, JOHN OWENS INTERNATIONAL (New Zealand)
Renowned thought-leader and creator of the Integrated Modelling Method (IMM)

INTERNATIONAL KEYNOTE CASE STUDY

14:30 Exploiting and Realising the Value from Processes and Data

At Shell, data is an integral part of the business strategy and is a key enabler in the
achievement of business goals. Exploiting and unlocking the full range of the value
available from data across operational processes and innovation capabilities is
essential to optimise business performance and achieve the best-in-class customer
experience. This session will recount Shell’s 5-year Customer Master Data Journey
to successfully embed data governance and data quality in the Offer to Cash
organisation and will show what else is required to take data management in other
process areas to world-class levels. The presentation will focus on:

Can a big company succeed at process management?
Success story: Shell’s 5-year customer master data journey
Creating a data excellence roadmap
Key projects executed to exploit value from data including the methodology applied
To infinity and beyond: further opportunities for process integration and end- to-end value exploitation

Carol Capulong, Global Process Manager Customer Data, SHELL SHARED SERVICES ASIA B.V. (Philippines)

15:00 Afternoon refreshments and networking opportunity

INTERACTIVE PANEL DISCUSSION

15:25 Trends in Enterprise and Financial Reference Data Management

Joan Troy, Enterprise Information Architect, WESTPAC BANKING GROUP
David Gray, Asset Owner Master Data, NATIONAL AUSTRALIA BANK
Naren Truelove, Director, Analytic MDM & BI, SERENE CORPORATION

INTERACTIVE PANEL DISCUSSION

15:55 Governance for Product and Material Master Data

Applying MDM to create and maintain product hierarchies across multiple systems
Creating a roadmap for product and material MDM excellence
Embedding MDM into business processes
Identifying signs of trouble and guidelines for root cause analysis of material and product master issues
Applying a phased approach to establish Master Data Governance
Implementation challenges – tips and techniques for moving from concept to practice

Panellists:
Jan Righetti, Enterprise Information Architect, SIMPLOT
Herman Hattingh, General Manager, Commercial & Master Data Governance, BOC SOUTH PACIFIC
Wayne Shaw, Information Architect, UNILEVER
Mohammad Mirshamsi, Lead Consultant, BackOffice Associates
Ajay K. Dhir, Chairman, APAC CXO FORUM (India)
“Multi-Award Winning CIO, Visionary & Thought-Leader”

16:40 Final remarks from the Chair

16:50 Close of summit