Tutorials - December 8, 2010

Wednesday
8 December
7:30–8:30
Registration and Continental Breakfast
8:30 - 11:45 MORNING TUTORIALS

Wednesday
8 December
8:30-11:45

Beginner
Track

 

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Data Governance: Starting from Scratch
Data Governance 101 

David Plotkin, Data Governance Manager, Automobile Association of Northern California, Nevada, and Utah

What would you do if you walked into a business that was committed to doing Data Governance -- but everything had to be built from the ground up? Where would you start? What approach would you take? This presentation details just such a journey at a major membership and insurance provider. The business is totally committed to Data Governance, and looked to the presenter to tell them what to do, from laying out the plan to determining what tools they have and what they need. And the presenter had to live with the results!

You will learn how to:
  • Set realistic expectations
  • Get the message out
  • Figure out an approach
  • Adjust project methodology to include metadata, data quality, and governance
  • Starting up a metadata and data quality practice and integrating it into the organization
  • Stand up a Data Governance organization
Speaker:
David Plotkin

David Plotkin
Data Governance Manager
Automobile Association of Northern California, Nevada, and Utah


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Wednesday
8 December
8:30-11:45

Intermediate and Advanced
Track

 

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The Governance Challenge for Master Data Management 
Malcolm Chisholm, President, AskGet.com

It is generally accepted that success in Master Data Management (MDM) requires data governance. Yet problems continue to plague MDM implementations. This tutorial examines both the technology-oriented solutions that IT has traditionally championed for delivering data governance, and the viewpoint of operations that emphasizes both process reengineering and optimal use of data vendors. The governance concepts advocated by both IT and operations are explored, with particular reference to the financial services industry. Advanced governance using workflow is contrasted with integration of data legacy data produced in legacy transaction applications and post-facto stewardship in MDM hubs. The points at which data governance is necessary in the master data supply chain is also described, including the need for management of the relationship with data vendors.

Attendees will learn:
  • The IT perspective and the operations perspective on data governance
  • How governance of production of master data in specialized environments contrasts with reactive stewardship in MDM hubs.
  • The role of governance in the interaction between the enterprise and data vendors
  • How architecture influences governance and vice versa
  • The unique aspects of governance that are required for MDM
Speaker:
Malcolm Chisholm

Malcolm Chisholm
President
AskGet.com

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Wednesday
8 December
8:30-11:45

Data Governance
in Practice

 

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Federating Data Governance 
John Ladley, President, IMCue Solutions

Relatively large organizations are challenged by a paradox – Data Governance implies central oversight. But there is no way to govern all data elements and content in a large organization. Demanding adherence to a standard model for all data elements is impossible. So how do you determine where to draw the line? The standard advice is to "Think Global, Act local" but how do you define local? What doe Global really mean? Is there anything in the middle? This work shop will define the issue of determining the level of federation that is right for your organization. Two case studies will be used to demonstrate various techniques.
Speaker:
John Ladley

John Ladley
President
IMCue Solutions

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Arrow12:00 - 12:30 DATA GOVERNANCE SOLUTIONS

Wednesday
8 December
12:00–12:30

 

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IBM Data Governance Unified Process for Security & Privacy
Brian Roosevelt, World Wide Business Development Manager, Data Governance, IBM


Data has become the most crucial part of the business enterprise.  Protecting critical data is an integral part of every Data Governance program.  This session will discuss the IBM Data Governance Unified Process for Security & Privacy approach and methodology of protecting sensitive data.  The IBM methodology will be specific to structured data for production and non-production environments ensuring the 'best practices' for incorporating demonstrative controls for data that Executives, Customers and Industry Regulators demand.
Speaker:
Brian Roosevelt

Brian Roosevelt
World Wide Business Development Manager, Data Governance
IBM

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Wednesday
8 December
12:00–12:30

 

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Data Governance & Data Quality - How they work together
James Orr, Global Director, Enterprise Data Strategy, Trillium Consulting
Whether your focus is MDM, CRM, ERP, BI, EDW, or a 360 degree view of your business data quality is an essential component of any data intensive project. In fact the success of these and other projects are directly related to the caliber of the information they produce. Join Jim Orr of Trillium Consulting as he provides insight into how data quality and data governance work together to drive optimal data outcomes for your business and high visibility projects.
Speaker:
James Orr

James Orr
Global Director, Enterprise Data Strategy
Trillium Consulting

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1:30 - 4:45 AFTERNOON TUTORIALS

Wednesday
8 December
1:30–4:45

Beginner
Track

 

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Data and Data Quality Primer for Business People 
Thomas C. Redman Ph.D. , the Data Doc, Navesink Consulting Group

Business managers and executives intuitively sense both danger and opportunity in their organization’s data. They see the danger every day—in reports they can’t trust, in customer data files that simply won’t merge, in their inability to find out what’s really going on. At the same time they know that fascinating opportunities to better understand their markets, enrich products, understand customers, and take costs out of operations are buried in these same data.

This tutorial aims to help business people get their minds around data and data quality. It brings the issues and opportunities into sharp relief, provides novel ways to “think about data,” and crystallizes the decisions that business people must make. Since improving data quality yields (relatively) quick wins, it is a good way to start the data program. Toward that end, the tutorial summarizes the “how-tos” of data quality management.
Speaker:
Thomas C. Redman

Thomas C. Redman Ph.D.
the Data Doc
Navesink Consulting Group

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Wednesday
8 December
1:30–4:45

Intermediate and Advanced
Track

 

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Operational Data Governance: Business Policies, Information Requirements, and Auditable Compliance
David Loshin, President, Knowledge Integrity

A key objective of establishing a data governance board and engaging data stewards is ensuring compliance with data policies linked to corporate business objectives. However, data governance cannot be operationalized through the creation of an organizational structure alone unless operational data management practices are aligned with the corporate business goals. Bridging the gap between business policy and data governance requires a corresponding processes for isolating information requirements from documented policies coupled with business policies related to information management techniques.

This workshop presents four operational data governance processes:
  • Refining information requirements from business policies
  • Linking embedded metadata for business terms, definitions, and constraint to the specific business policy
  • Developing information policies
  • Implementing auditable methods for monitoring compliance with information policies

The interactive component applies these processes by reviewing a selection of business policies incorporated within government regulations, industry organization directives, and internally-defined business policies, demonstrating an agile approach to business policy definition aligned with operational data governance capabilities.

Attendees will take away these skills:

  • Information policy definition
  • Implementation within a data governance framework
  • Enforcement of policies and monitoring compliance
  • Continuous maintenance of relationship between business policies and information requirements
Speaker:
David Loshin

David Loshin
President
Knowledge Integrity

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Wednesday
8 December
1:30–4:45

Data Governance
in Practice

 

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Building a Data Stewardship Practice from Soup to Nuts (especially the nuts) 
David Plotkin, Data Governance Manager, Automobile Association of Northern California, Nevada, and Utah

More and more companies are coming to terms with the fact that they need to have a data stewardship function in order to be effective in collecting metadata (including definitions, derivations, and data quality rules), MDM, and data quality. A lot has been said and spoken about why stewardship is important, but HOW do you do it and be effective with limited resources (in the “real world”)? This presentation details how to set up a data stewardship function, how to run it, the details of managing the stewardship committee, recruiting help from IT for technical stewards, what the duties of the data stewards are, and what decisions they have to make. In addition, it covers how to staff projects for stewardship and funnel the information from projects back into the overall stewardship process.

You will learn:

  • How to recruit stewards
  • What the steward’s responsibilities are
  • How to break up responsibilities by functional area
  • Resources you can use to minimize endless meetings
  • What the decision process is
  • The use of stewards for projects
  • What and how to document decisions
Speaker:
David Plotkin

David Plotkin
Data Governance Manager
Automobile Association of Northern California, Nevada, and Utah


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5:00 - 6:00 AFTERNOON SESSIONS

Wednesday
8 December
5:00–6:00

Beginner
Track

 

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Getting Board Level Buy In for Data Governance
Anwar Mirza, Financial Systems & Data Governance Director, TNT Express

At TNT Express’ Head Office in the Netherlands, there is an obvious requirement to continually improve the confidence and speed in the preparation of their decision making data and hence was born the TNT Data Governance program.

The projects within the program will embed a framework of data stewardship, governance principles, controls and enabling tools within the organization. However, TNT recognizes that these projects are merely the enablers for Data Governance and that the coherence of a full strategy is critical to ensure success in the enabling projects.

This presentation provides a practical approach to:

  • Developing a layman’s guide to Data Governance
  • Obtaining Board level buy-in to fund the initiatives
  •  Proposing an integrated approach to implementing Data Governance
  •  Identifying and phasing the deliverables

This presentation is suitable for those companies wishing to formalize or startup their approach to Data Governance.

Speaker:
Anwar Mirza

Anwar Mirza
Financial Systems & Data Governance Director
TNT Express


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Wednesday
8 December
5:00–6:00

Intermediate and Advanced
Track

 

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Governing Public Data: An Open Discussion on Ownership, Use, and Exploitation of Social Network Data 
David Loshin, President, Knowledge Integrity


 

Speaker:
David Loshin

David Loshin
President
Knowledge Integrity

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Wednesday
8 December
5:00–6:00

Data Governance
in Practice

 

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Governing the Cloud - Impact of Cloud Computing on Data Governance 
Malcolm Chisholm, President, AskGet.com

Cloud computing is a new paradigm that is proving highly attractive to many enterprises.  Its basic value proposition is to reduce capital expenditure in infrastructure by utilizing services that are paid for as they are used.   However, one of the major issues is that of governance.  Within its own firewalls an enterprise can have as little governance as it can get away with.  The cloud is a shared environment with multi-tenancy and worries about data governance are a major concern.  Data movement auditing, contractual aspects concerning promises made to stakeholders about data, chargeback management, data provisioning and purging rules, are just a few examples of data governance issues that are poorly recognized in private infrastructures, but which are important in the cloud.  This presentation looks at the enhanced governance required for cloud computing.  It also looks at cloud beyond the pure infrastructure play, to private clouds and columnar databases, and the governance challenges they raise.

Attendees will learn:

  • The basics of cloud computing and what it offers
  • How enterprises are using the cloud
  • The immediate governance issues that cloud computing presents, and how to deal with them
  • The governance challenges of future of cloud computing, especially with ultra-large scale and columnar databases.
Speaker:
Malcolm Chisholm

Malcolm Chisholm
President
AskGet.com

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Arrow6:15 - 8:00 RECEPTION

Wednesday
8 December
6:15–8:00

 

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You’re Invited!
Join Kalido as we celebrate the announcement of Data Governance Director, the solution that operationalizes data governance programs through data policy management. Enjoy food, drinks and unique entertainment – complete with games and prizes.. Don’t miss out - register today at http://info.kalido.com/RSVPDGConferenceReception.html. Open to all attendees of the Data Governance Winter Conference.