Post-Conference Tutorials - June 26, 2014

Thursday
June 26
7:00–3:00
Registration
Thursday
June 26
7:30–8:30
Continental Breakfast
8:30 - 4:15 POST-CONFERENCE TUTORIALS

Thursday
June 26
8:30-4:15

 

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T13: Sustaining Data Governance and Adding Value for the Long Term
Kelle O’Neal, Managing Partner, First San Francisco Partners

Data Governance is becoming a more mature and better understood practice that reduces risk and creates value across all industries. Many organizations have launched Data Governance Programs either to support technology initiatives like Master Data Management, or to address compliance issues - such as Basel & LEI in the Financial Services industry, or The Sunshine Act & Unique Device Identification in the Health and Life Sciences sector. And many companies have even launched Data Governance more than once!

Part of the reason many companies launch a Data Governance program again and again is that over time, it is challenging to maintain the enthusiasm and excitement that accompanies a newly initiated program.

In this tutorial we will talk about the challenges of making Data Governance a "going concern" in your organization and how to sustain a program for the long term.

We will cover:

  • Typical obstacles to sustainable Data Governance
  • Re-energizing your program after a key player (or two) leave and other personnel challenges
  • Staying relevant to the company as the business evolves over time
  • Understanding the role of metrics and why they are critical
  • Leveraging Communication and Stakeholder Management practices to maintain commitment
  • Embedding Data Governance into the operations of the company

Level of Audience
Advanced

Speaker:
Kelle O’Neal Kelle O’Neal
Managing Partner
First San Francisco Partners

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Thursday
June 26
8:30-4:15

 

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T14: Ten Steps to Data Quality
Danette McGilvray, President and Principal, Granite Falls

If the following situations sound familiar, this course is for you: Maybe you have complaints about reports coming out of the data warehouse. You need to analyze the data quality and set a baseline against which to compare future improvements. In other cases, projects involve migrating or integrating data and high quality data is a critical success factor. Perhaps you purchased a data quality profiling and/or cleansing tool but are not sure how to make the best use of it. Maybe you are formalizing your information quality efforts and need a structured, yet flexible, approach to apply against the many data quality-related situations in your organization.

Join us to learn Ten Steps to Quality Data and Trusted Information™ – a practical approach to creating, improving, and managing the quality of information critical to your organization. What you learn here applies to all kinds of data and every type of organization – for-profit businesses of all sizes, education, government, healthcare, and nonprofit – because all depend on information to succeed.

Key topics include:

  • The Ten Steps™ process
  • The Framework for Information Quality
  • Dimensions of data quality
  • Business impact of information quality
  • Real-life application of the methodology

Come with your particular needs in mind, learn how these topics apply to your situation and leave with realistic methods for improving information quality.

This course is based on the extensive experience of the trainer/author/consultant and the book Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ (Morgan Kaufmann Publishers, 2008) by Danette McGilvray.

Level of Audience
Introductory

Speakers:
Danette McGilvray Danette McGilvray
President and Principal
Granite Falls

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Thursday
June 26
8:30-4:15

 

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T15: 6 Keys to Shifting Culture for Successful Data Governance
Len Silverston, President, Universal Data Models

Is it possible to influence corporate culture? Yes!!!! This seminar will share how we have successfully shifted the culture in numerous organizations towards a more enterprise wide perspective regarding data governance and data stewardship, and how this has led to their success.  In fact, on one of these data governance programs, our client won the Data Governance Best Practice Award, due in part to realizing their vision which included ‘A culture that values and trusts its enterprise wide data.’

For several decades, Len Silverston, has been involved in various data governance and data management programs and over the last 10 years, he has reviewed and analyzed many efforts and concluded that there are 6 key factors in successful data governance programs. This seminar will share information about these 6 factors along with techniques, case studies and exercises for each of these factors.  There will be fun and interactive exercises where participants can practice scenarios that commonly arise in data governance and apply the principles learned in this class.

This seminar will cover:

  • Case studies on how organizations succeeded or failed in data governance and why
  • What makes data governance programs successful and what are the big ‘gotchas’
  • Tools, principles techniques, and exercises to enable data governance including keys to gaining sponsorship, facilitating a common vision, communicating effectively, gaining involvement and commitment, developing trust, and managing conflict
  • Interactive and fun exercises allowing participants to apply the principles, tools, techniques and information from the class to practice important data governance interpersonal skills.

This seminar will be very applicable to anyone involved in a data governance program. Cultural and personal factors are often overlooked and they have been proven to be a key to success in data governance.

Level of Audience
Intermediate

Speaker:
Len Silverston Len Silverston
President
Universal Data Models

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