Conference Sessions - June 28, 2011

Tuesday
28 June
7:30–8:30
Registration and Continental Breakfast
7:30 - 8:15 

Tuesday
28 June
7:30–8:15

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Data Governance

 

Getting Help for Your Data Governance Initiative
Kira Chuchom, VP Marketing, Data Governance Professionals Organization
Michele Koch, VP Membership, Data Governance Professionals Organization

The Data Governance Professionals Organization (DGPO) is a newly formed international non-profit, vendor neutral, association of business, IT and data professionals dedicated to advancing the discipline of data governance.
Our vision is to be the primary resource for practitioners working in data governance.

The DGPO provides:

  • A virtual and social networking community for data governance professionals to connect and share experiences.
  • Face to face networking through member meetings at industry events and conferences.
  • Webinars and interactive member teleconferences that focus on best practices and real life member experiences.
  • Member discounts to training, conferences and tools.
  • Influence and endorsement of data governance education, training and certification.

Join us  on Tuesday morning and learn more about this group and how we can help you in your data governance initiatives!

Speakers:
Kira Chuchom

Kira Chuchom
VP Marketing
Data Governance Professionals Organization

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Michele Koch

Michele Koch
VP Membership, Data Governance Professionals Organization

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Tuesday
28 June
7:30–8:15

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IDQ

 

The Skills of the Information/Data Quality Professional
Christian Walenta, Information Management, IBM
C. Lwanga Yonke, Advisor, IAIDQ

What are the skills of an information/data quality practitioner? What differentiates an IQ/DQ professional from professionals of other disciplines?

As part of the Job Analysis/Role Delineation Study it recently conducted, IAIDQ enlisted the help of a broad group of information/data quality practitioners across the globe to develop a consensus answer to these important questions.

This presentation describes the knowledge and skills of an information/quality professional, defined in the context of IQ/DQ framework IAIDQ developed for its Information Quality Certified Professional’s credential (IQCP). These knowledge and skills also form the basis of the certification exam. Beyond this immediate purpose, the IQCP knowledge and skills inventory can be used to define training plans and a career ladder for IQ/DQ staff. For academia, it can also be used to structure information quality curriculum at the undergraduate and graduate levels.

Attend this session for an exciting professional development conversation!
Speakers:
Christian Walenta

Christian Walenta
Information Managemen
IBM

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C. Lwanga Yonke C. Lwanga Yonke
Advisor
IAIDQ

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Tuesday
28 June
8:30–8:45

Welcome

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Tuesday
28 June
8:45–9:45
KEYNOTE: Data You Love: Building Data Governance and Instilling Data Quality at ConAgra Foods
Dan Hartley, VP of Data Governance, ConAgra Foods

In the early 2000’s, ConAgra Foods embarked on a series of systems implementations to address the inefficiencies of their decentralized Independent Operating Company (IOC) approach. Post-implementation, ConAgra Foods struggled to overcome many of the very inefficiencies they had set out to mitigate, which drove the need for continuous fire-fighting, adding to the complexity of the constraints the company was facing. Research and root-cause analysis provided insight into the impact that the role of poor Master Data had played in their daily operational issues.

Attendees will learn how ConAgra Foods built a Data Management Program with the following characteristics:
  • Top-down approach with executive sponsorship
  • Data governance driven by business ownership of data
  • Enterprise view that is business-driven and aligned (Data you love)
  • Value driven approach to data quality
  • Flexibility to address enterprise initiatives (SAP, Innovation, etc.)
  • Industry-leading position
Speaker:
Dan Hartley

Dan Hartley
VP of Data Governance
ConAgra Foods

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10:15 - 11:15 CONCURRENT SESSIONS

Tuesday
28 June
10:15–11:15

Data Governance

 

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Practical Data Governance Use Cases that Deliver Tangible Value
Winston Chen, CTO, Kalido


In an ideal world, data governance is embedded into the corporate fabric - throughout the business processes and applications that run the business. But in the real world, you usually have to start somewhere. In this session, we'll highlight three of the best use cases for data governance and how they can impact your organization.

In this session, attendees will discuss:

  • Data Governance for Compliance - meeting regulatory requirements quickly and   completely
  • Master Data Governance - getting your MDM program up and running - even if you have multiple MDM hubs
  • Data Governance for Business Intelligence - improving decision-making for your organization with better information.
Speaker:
Winston Chen

Winston Chen
CTO
Kalido

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Tuesday
28 June
10:15–11:15

Data Governance

 

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Governing Organization and Operation Structure Data to provide Tangible Business Value
Greg Wibben, Master Data Program Manager, Schlumberger
Tinh Mai, IT Architect, Schlumberger
Alberto Palazzi, Business Process Manager, Schlumberger


The Schlumberger master data governance program provides an enterprise framework and methodology for individual data domains to establish governance related to data ownership, definitions, stewardship, quality, and communication. Key aspects of governance for a particular data domain are a policy statement and a data management standard. Using the enterprise framework and methodology, the Engineering, Manufacturing, and Sustaining (EMS) group within Schlumberger has put in place governance of their organization structure data. The governance formalizes the business definition and model which allows the IT systems the opportunity to align with the business. That alignment provides a valuable communication tool between the business and IT. The business recognizes the value of the governance through the reporting and aggregation of data which was not previously possible and through increased quality and efficiency of other reports. In addition, governing the organization and operation structure data provides a foundation to build the governance of other data domains as well as the information architecture of current and future IT systems.


Attendees will learn to implement data governance by:

  • Putting in place an enterprise governance framework
  • Getting business buy-in to obtain a policy statement
  • Creating a data management standard
  • Implementing a data repository, change workflow, and integrations
  • Identifying, demonstrating, and validating business value to maintain buy-in
Speakers:
Greg Wibben

Greg Wibben
Master Data Program Manager
Schlumberger

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Tinh Mai Tinh Mai
IT Architect
Schlumberger

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Alberto Palazzi Alberto Palazzi
Business Process Manager
Schlumberger

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Tuesday
28 June
10:15–11:15

Data Governance

 

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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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Tuesday
28 June
10:15–11:15

Data Governance

 

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How a Governance & Stewardship Program can provide a Valued Customer Experience  
Eileen Moyer, Sr. Director, Information Stewardship & Standard Reporting, Merck
Elizabeth Senay, Project Mgr, Governance & Stewardship, Merck

Governance & Stewardship Programs can be "behind the scenes" and elusive to key stakeholders as well as not easily understood by Data Stewards. Merck Pharmaceuticals matured its Information Management Governance Program and shifted its culture to one that embraced Governance by creating a vision and an implementation blueprint rooted in providing quality data with a positive stakeholder experience. We will describe some tactics and visual tools created by the business-led Data Governance & Stewardship Program that "brands" the Governance & Stewardship Program, measures and communicates its value to stakeholders and executives, and provides a gauge for continued maturity along the Governance trajectory.

The presentation will include:

  • Background on Information Management & Governance at Merck
  • Program Vision, Objectives and Approach
  • Action Plan and Tools
  • Why this Approach is Successful
Speakers:
Eileen Moyer

Eileen Moyer
Sr. Director, Information Stewardship & Standard Reporting
Merck

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Elizabeth Senay Elizabeth Senay
Project Mgr, Governance & Stewardship
Merck

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Tuesday
28 June
10:15–11:15

IDQ

 

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Global Data Quality and Governance of Materials Data at ConocoPhillips  
Greg Ardoin, Supervisor Data Management, ConocoPhillips
Andrew Simpson, VP of Business Development, Riversand Technologies

In order to streamline procurement and operations processes, ConocoPhillips decided to implement a single global instance of a popular ERP and associated MDM system in 2006. Due to its global scale, ConocoPhillips was dealing with many data quality and master data management issues including duplicate Material records and inaccurate/incomplete data. As a result, the success of these projects depended heavily on implementing processes to clean the data one time and to keep it clean on an on-going basis

This presentation describes the data quality approach ConocoPhillips adopted, including:
  • Determination of content standards for classification (PIDX) and unit of measures.
  • One-time cleanup of content within Material Master that involved activities such as Classification to PIDX, Attribute Extraction and population to PIDX schema, Data Enrichment, Normalization, Description Generation and Duplicate Identification (including Form-Fit-Function matching).
  • Deployment of a Product Information Management and Data Quality Management solution to ensure that data remains clean on an on-going basis.
  • As a direct result of this project ConocoPhillips achieved the following immediate benefits: reduced procurement costs, reduced costs for material creation, reduced inventory costs, and reduced risk of Plant shutdowns.
Speakers:
Greg Ardoin

Greg Ardoin
Supervisor Data Management
ConocoPhillips

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Andrew Simpson

Andrew Simpson
VP of Business Development
Riversand Technologies

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Tuesday
28 June
10:15–11:15

IDQ

 

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Towards a Single View of the Customer: Business Benefits, Data Quality Challenges and Data Governance Plan 
Delphine Clément, Data Quality Consultant,  Analyse Informatique des Donnees
William Courtier, BI and CRM IT Manager, FNAC

FNAC, a French distributor of cultural and electronic goods, is implementing a customer master data hub with the business objective to centralize and maximize customer knowledge by bringing together online store data and physical shops data. The project includes defining, implementing and maintaining the multisource customer data strategy as well as executing a customer data governance plan.

This case study covers:
    • The expected business benefits and the criteria used to assess the ROI of implementing a customer master data hub
    • The key project milestones for this large project, including those for the main stakeholders in Business and IT
    • The steps taken to overcome the data quality challenges caused by the mix of offline and online store data in the same repository
    • The essential components of the customer data governance plan we developed (motivation, data to monitor, structure of the governance organization, links between Key Quality Indicators and KPIs
Speakers:
Delphine Clement

Delphine Clément
Data Quality Consultant
Analyse Informatique des Donnees

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William Courtier

William Courtier
BI and CRM IT Manager
FNAC

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arrow11:30 - 12:00 GOVERNANCE AND IQ SOLUTIONS

Tuesday
28 June
11:30–12:00

 

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Step Up Your Data Governance Program Using Existing Technologies
Sarah Kohler, Director, Trillium Software


Join this session to hear how Data Governance teams are finding success using existing technologies to drive more value out of their efforts.  Specifically, learn about how data profiling, data quality, and data monitoring technologies can be applied strategically as part of data governance programs, and what works and what doesn’t based on field experience.  Hear about how to use these tools to track and drive value, to ensure quantified results and align success to the data governance program.  Also, take away some implementation considerations for early stages of new programs and projects.
Speaker:
Sarah Kohler

Sarah Kohler
Director
Trillium Software

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Tuesday
28 June
11:30–12:00

 

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From Data Discovery to MDM: The Single-Platform Approach to Data Management
John Marrama, Senior Solutions Engineer, DataFlux Corporation


Companies worldwide are struggling with the spread of data throughout the enterprise – and an ever-growing mix of technologies to manage that data. In this session, participants will learn how a single platform for the key requirements of data management, including data quality and data integration capabilities, can help companies fix their data challenges today and realize immediate benefits from their data assets. The session will also demonstrate how these capabilities can be extended to build the foundation for more complex, resource-intensive goals like data governance and MDM.
Speaker:
John Marrama

John Marrama
Senior Solutions Engineer
DataFlux Corporation

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Tuesday
28 June
11:30–12:00

 

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Data Centric Project/SDLC Governance using a Data Quality Portal- Investment Bank Case Study
Sandesh Gawande, CTO, Abyss Group Inc


This presentation is a case study of an investment bank that needed to integrate a new back office system, and distribute data from this system to a number of different areas - covering hundreds of downstream processes.  The bank decided to mitigate risk on this strategic project by leveraging their existing data governance practice, which for some time had been assuring data quality in the production environment.  Basically, the data quality assurance methodology was extended to quality assurance in the Systems development Lifecycle (SDLC).  In fact, the SDLC was transformed to become a Data-centric Life Cycle with the methodology and supporting tool playing a key role.  The specific risks that had to be mitigated also extended beyond data quality.  Because this was a global project, communications among geographically dispersed development teams and management needed to be clear, consistent, and frequent.  Metadata management capabilities in the methodology and tool assisted in reducing communication risk.

The case study will cover:

    • Use of the central data quality portal for governance (iCE±)
    • Integration of the Testing teams with the governance process.
    • Strategy for rules-based data quality checks
    • Rules-based data reconciliation among external and internal systems
    • Automatic KPIs population and feedback for management for decision making and project status monitoring
Speaker:
Sandesh Gawande

Sandesh Gawande
CTO
Abyss Group Inc

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Tuesday
28 June
11:30–12:00

 

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Building-in Data Governance Controls While Automating Customer Data Integration
Arka Mukherjee, CEO, Global IDs
Thierry Roullier, Strategist, Global Products & Solutions, Acxiom Corporation


Data Governance managers are often restricted in their choices when leveraging their customer data assets. Integrating data sources to an MDM or a data warehouse project is a manual and expensive process. Also, selecting the most appropriate customer data sources from the many available is not a simple task. What distinct information does each data source bring to the table? What is their overall level of quality?  Not knowing the answer to these questions may result in a suboptimal use of your customer data assets.

This presentation offers an innovative solution to this problem by automatically discovering the metadata for each data source, recognizing each customer in each source using a reference customer database that provides a customer link, and leveraging that link across all data sources. Consequently, the customer data process is automated and more data sources can be included in your data warehouse or MDM deployment. As a result, the overall data quality of your deployment is improved and data governance costs are reduced by design.

An example is provided to illustrate this new methodology.

Speakers:
Arka Mukherjee

Arka Mukherjee
CEO
Global IDs

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Thierry Roullier

Thierry Roullier
Strategist, Global Products & Solutions
Acxiom Corporation

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1:15 - 2:15 CONCURRENT SESSIONS

Tuesday
28 June
1:15–2:15

Data Governance

 

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Applying MDM-Driven Data Quality to Master Patient Index Initiative: A Mount Sinai Case Study
Vincent Lam, Product Marketing Director, Information Builders


As a technology leader that is well known for its cutting-edge information systems, Mount Sinai Medical Center devotes a great deal of time to curing data quality problems. That’s why the venerable New York institution utilized data quality and data profiling technologies to improve the accuracy and integrity of its patient management systems. 

Topics include:

  • Overcoming the challenges to automate the cleansing, matching & merging of very complex business rules
  • Applying data stewardship to enable human oversight to automated process
  • Enhancing ROI of IT by providing for reusable rules for future phases to significantly decrease time-to-deployment for new projects
Speaker:
Vincent Lam

Vincent Lam
Product Marketing Director
Information Builders

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Tuesday
28 June
1:15–2:15

Data Governance

 

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Picking Your Battles - Strategies in Data Quality Improvement and Data Governance 
Kira Chuchom, Enterprise Data Quality and Data Governance, Cisco Systems Inc.

Whether you are embarking on your first data management journey or are a seasoned data quality and/or data governance professional, some of these topics will ring true for you. In any large program or initiative, especially highly cross-functional or enterprise-wide ones, you will at one time or another need to “pick your battles” – but which ones do you pick? When do you go after the “quick wins”, “safe-bets”, “low hanging fruit”, or “easy” versus the strategically insightful decisions and actions.

Discussion topics include:
  • Beauty is in the eyes of the beholder
  • This land is my land
  • Visibility is a double-edged sword
  • Throw more bodies at it
  • Let’s just buy a tool
  • What price success?
Speaker:
Kira Chuchom

Kira Chuchom
Enterprise Data Quality and Data Governance
Cisco Systems Inc.

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Tuesday
28 June
1:15–2:15

Data Governance

 

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Kicking off Data Governance
Teresa Black, Technical Architect, Alere Health


This presentation provides a highlight of the journey Alere Health has experienced with Data Governance. It will give attendees a perspective as to what they may run into as they launch their Data Governance Program as well as ideas that may help you get your program back on track if it should stray.

Topics covered:

  • How to convey that a Data Governance Program is important to your organization
  • Keeping all the balls in the air (Where we were, where we are today.)
  • Challenges we’ve experienced to date
  • People we’ve engaged
  • Process implemented
  • The plan for the future
Speaker:
Teresa Black

Teresa Black
Technical Architect
Alere Health

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Tuesday
28 June
1:15–2:15

Data Governance

 

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A Marathon, Not a Sprint: Sustaining a Data Governance Program
Thomas Fontanella, IT Director, Genzyme Corporation


Corporate data governance initiatives often launch amidst anticipation, enthusiasm and fanfare. Gaining agreement from data owners and stakeholders to establish a governance program to help elevate their data to a true enterprise asset is exciting. Once the strategy is set and the organization formed, the program begins to execute on the data governance objectives. The pace invariably slows when it encounters hurdle after hurdle on the way to fulfilling its original vision. Commitment to the success of data governance wanes, and often the program needs to re-establish the momentum to get back on course.

This presentation examines the topic by describing a company’s launch – and re-launch – of its data governance program
  • Establishing the program goals and strategy
  • Launching the organization
  • Making progress…and facing hurdles
  • Re-energizing the program
  • Sustaining for the long-run
Speaker:
Thomas Fontanella

Thomas Fontanella
IT Director
Genzyme Corporation

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Tuesday
28 June
1:15–2:15

IDQ

 

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Six Sigma and Data Quality:  Using DMAIC for Information and Data Quality Improvement
Jeremy Benson, Vice President, Swiss Re


Our data management group within an insurance company currently has approximately 20 data/reporting processes. These processes are taking too much time and are subject to too many errors. Using six sigma techniques, we are reducing the number of processes, shortening their cycle times and improving the quality of data.

In this presentation, I will demonstrate:

  • The principles of DMAIC (Define, Measure, Analyze, Improve, Control)
  • How these principles are used within the context of information and data quality
  • How DMAIC was applied to process and data quality improvement within the context of our processes
  • Successes that we have achieved as a result of using DMAIC
  • Challenges that we have faced
  •  Next steps
Speaker:
Jeremy Benson

Jeremy Benson
Vice President
Swiss Re

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Tuesday
28 June
1:15–2:15

IDQ

 

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How we Used Data Quality and Spatial Analysis to Shorten Cycle Time and Increase Profits
Uma Venkataraman, CEO & Founder, Ixsight Technologies Pvt Ltd
Savita Modak, COO and Cofounder, Ixsight Technologies Pvt Ltd
This case study discusses a project undertaken to help an Indian telecom service organization address a dual problem of increasing bad debts and costs of collections.

The project’s sub-objectives were to:

  • Identify geographical pockets of defaults
  • Reduce the time taken for bills to reach customers ensuring lower mail returns, and reduced billing costs
  • Relocate and increase the number of bill collection centers and drop boxes.

The data quality work consisted of: data preparation, scrubbing, enrichment, relationship linkage identification and geographical analysis. The presentation also discusses original uses of data enrichment to positively impact customer emotional touch points. Exacerbating factors included the very large volume of data, and the geographic spread out among several states each having separate linguistic background and unique data quality issues.

Speakers:
Uma Venkataraman Uma Venkataraman
CEO & Founder
Ixsight Technologies Pvt Ltd

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Savita Modak Savita Modak
COO and Cofounder
Ixsight Technologies Pvt Ltd

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arrow2:30 - 3:30 CONCURRENT SESSIONS

Tuesday
28 June
2:30–3:30

Data Governance

 

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Governance and Control of Roles for Sensitive Information at MetLife 
Carl Mattocks, Information Architecture and Security Analyst, CheckMi


Regulatory compliance requires that organizations maintain effective controls over who has access to sensitive and personal information, particularly about employees and customers. A major consideration during compliance audits is whether there is an appropriate Segregation of Duties (SoD) so that a single user cannot carry out or conceal an illegal or prohibited action. The objective of SoD governance is to ensure that duties related to business information are well understood, and that access to the underlying information is thoroughly defined in an individual's role and access permission. 

This presentation describes a taxonomy-enabled matrix to define permissions and eliminate the risk of information being misuses or disclosed by improper handling.

It employs:

  • A Controlled Vocabulary of Business Activities
  • A Profile of System Functions
  • A Classification of Role-based Access Control
Speaker:
Carl Mattocks

Carl Mattocks
Information Architecture and Security Analyst
CheckMi

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Tuesday
28 June
2:30–3:30

Data Governance

 

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Effective Data Governance Committees
Jeffrey Yefsky, CEO, 5x Technology

At the end of the business day, information and clearly communicating it is what each department of any organization needs from one another.

Setting up the data structure is only the beginning. The real work is in understanding customer needs, putting systems in place to help defend against dirty data, and ultimately keeping it clean. These are the cornerstones of Data or System Governance Committees.

The only way to ensure information is available, clean and reliable is through a governance committee which creates a level of interest and understanding within an organization’s political environment.

The processes, rules and guidelines should allow for a winning solution for everyone. People involved in this process should be stakeholders with decision-making ability, who can understand the impact of the overall goals of the organization. This will allow for a complete understanding of what information is required in a data warehouse and how it will benefit the organization at every level.
Speaker:
Jeffrey Yefsky

Jeffrey Yefsky
CEO
5x Technology

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Tuesday
28 June
2:30–3:30

Data Governance

 

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How to Successfully Implement and Govern Metadata Management in Your Organization
Dan Myers, Farmers Insurance


Attendees will learn how to govern metadata collection during the software development life-cycle phases based on a case-study at Farmers Insurance.

It became clear that due to increasing IT development and maintenance costs for BI projects, metadata management should be implemented to shorten the life-cycle and reduce analysis time. Business Intelligence users at Farmers Insurance were also struggling to understand and find the data they needed prior to implementation of this governance process. By establishing a concrete and comprehensive metadata governance process, validating metadata at each phase of the project, your organization can maximize data search ability and usefulness of your enterprise metadata repository.

Attendees will learn how metadata governance can:

  • Improve BI project scope using metadata list of possible data attributes for data marts
  • Reduce project risk by clarifying detailed descriptions of required attributes in application
  • Prevent enterprise metadata tools from becoming “shelfware”
  • Reduce IT management costs in both transactional and analytical applications
  • Maximize user adoption of data-driven applications
  • Reduce training duration and costs
  • Facilitate accurate communication of terms and data implementation of those concepts
Speaker:
Dan Myers

Dan Myers
Farmers Insurance

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Tuesday
28 June
2:30–3:30

Data Governance

 

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Data Governance in the Context of an MDM Hub Implementation – A Case Study
Rachel Haines, Senior Practice Consultant, EMC Consulting

Most data governance is not implemented as a stand-alone, top-down Enterprise Data Governance program. When a Data Governance Program is built in support of an MDM, or DQ, or DW/BI program, there are specific challenges related to scope, timeline, and longevity.

This Case study will focus on the challenges of building a Data Governance Program a part of an IT initiative to implement an MDM hub for customer data.

Topics to be covered include:
  • Ensuring an appropriate level of Data Governance
    • Project DG vs. Enterprise DG
    • DG Project vs. DG Program
    • The role of organizational culture
  • Data Governance Organizational Design
    • Business and IT stakeholders
    • Key roles
    • Identification of key people
  • Communication
    • Key success indicators
    • Measuring success
    • Ensuring transparency
  • Strategic and tactical steps toward implementation
    • Data Governance core development
    • Onboarding the data
    • The transition from startup to steady state
Speaker:
Rachel Haines

Rachel Haines
Senior Practice Consultant
EMC Consulting

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Tuesday
28 June
2:30–3:30

IDQ

 

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Implementing Data Quality Management using Lean Six Sigma and Continuous Improvement methods
David Ho, Director - Global Data Quality Management, Warner Bros

This presentation describes the journey in implementing a data quality management (DQM) program on material master data for an Enterprise Resource Planning (ERP) system (Supply Chain Management module) at Warner Bros. It also illustrates how we implemented important supporting organizational structures such as Data Governance, Master Data Management and Communities of Practice.

Topics include:
  • DQM architecture
  • Approach using Lean Six Sigma (DMAIC) and Continuous Improvement methods to ensure data is complete and accurate
  • Roles and responsibilities
  • Managing and applying business rules through SQL and other tools to capture and correct data errors at the source
  • Leveraging in-database techniques and process automation
  • Key deliverables (e.g. metrics reporting on various data quality dimensions)
  • Benefits and Lessons learned
Speaker:
David Ho

David Ho
Director - Global Data Quality Management
Warner Bros

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Tuesday
28 June
2:30–3:30

IDQ

 

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Pervasive Data Quality Drives Success at U.S. Xpress
Tim Leonard, CTO, US Xpress Inc

Moving millions of tons of cargo over the nation's roads on 7,000 trucks generates vast volumes of disparate data. Come learn how Informatica allows U.S. Xpress to ensure data accuracy and reliability so it can cut costs, improve productivity, and support both customer service and strategic planning. US Xpress, one of the world’s largest truckload carriers, grew at a record pace over the last 20 years. As the company expanded, it could no longer manage business the same way and expect the same returns. The task was clear: work smarter, not harder. To achieve this goal, executives implemented a BI program that has achieved an ROI of several million dollars. This session will show how US Xpress’s BI team identified the right opportunities, overcame data quality challenges, integrated data, operationalized analytics into actionable processes, and measured the results.
Speaker:
Tim Leonard

Tim Leonard
CTO
US Xpress Inc

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3:30 - 4:00 EXHIBITS OPEN
4:00 - 5:00 KEYNOTES

Tuesday
28 June
4:00–5:00

Data Governance

 

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Award Winning Data Governance
Sallie Mae, Winner of the 2011 DG Best Practice Award
Michele Koch, Director, Data Governance Office, Sallie Mae
Barbara Deemer, Chief Data Steward, Sallie Mae


In this keynote, learn how Sallie Mae, the winner of the 2011 Data Governance Best Practice Award, deployed a strong Data Governance (DG) Program to solve enterprise boundary-spanning data issues by pulling together the pieces of the data puzzle. 

Attendees will learn:

  • The “non-traditional” Data Governance framework Sallie Mae used and the benefits of that approach
  • How the DG Program contributed to the success of Sallie Mae during tumultuous industry changes
  • The key critical success factors and lessons learned
Speakers:
Michele Koch

Michele Koch
Director
Data Governance Office

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Barbara Deemer Barbara Deemer
Chief Data Steward
Sallie Mae


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Tuesday
28 June
4:00–5:00

IDQ

 

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Creating the Emerging Realized Information Age 3.0 Organization
Larry English, President, INFORMATION IMPACT International, Inc.


In the past sixty years of High Technology, organizations have continued to struggle to effectively exploit their Information Technology for Business Effectiveness. The reality is that most organizations failed to understand the Paradigm Shift from the Industrial Age to the emerging Realized Information Age 3.0.

This presentation addresses the new rules and regulations required for organizations to effect the cultural transformation required to create an effective and sustainable business management Culture that will enable them to accomplish their Mission effectively and to consistently meet their Customers’ and Stakeholder expectations.

This presentation describes how World-Class organizations have made the transition from the now-obsolete Industrial Age to the emerging, Realized Information Age 3.0.

What you will learn:

  • The Principles of the Information-Age 3.0 Paradigm: New Rules and Regulations
  • Managing Information through the Universal Resource Management Life-Cycle
  •  How sound Quality Management Principles Apply to intangible Information Production Processes
  • Quality Management Techniques Applied to Information Quality Management
Speaker:
Larry English

Larry English
President
INFORMATION IMPACT International, Inc.

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5:00 - 7:00 EXHIBITS AND RECEPTION
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