TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Presentation

Organizations must realize what it means to utilize data quality management in support of business strategy.  This webinar focuses on obtaining business value from data quality initiatives.  I will illustrate how organizations with chronic business challenges often can trace the root of the problem to poor data quality.  Showing how data quality should be engineered provides a useful framework in which to develop an effective approach.  This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from re-occurring.

Learning objectives include:

• Data quality concepts & activities
• Data Quality Management (DQM) cycle
• Data quality awareness & requirements
• Data quality dimensions, tools & frameworks
• Guiding principles & best practices
• Understanding foundational data quality engineering concepts based on the Data Management Body of Knowledge (DMBOK)
• Utilizing data quality engineering in support of business strategy

About the Speaker

Peter Aiken is an award-winning, internationally recognized thought leader in the area of organizational data management, architecture, and engineering. As a practicing data manager, consultant, author and researcher, he has been actively performing and studying these areas for more than 30 years. His sixth book is titled XML in Data Management. He has held leadership positions with the US Department of Defense and consulted with more than 50 organizations in 20 different counties. Dr. Aiken’s achievements have resulted in recognition in Outstanding Intellectuals of the 21st Century and bibliographic entries in Who’s Who of Emerging Leaders in America, Who’s Who in Science and Engineering, and other recognitions. His entertaining but clear and concise insights make him a sought after speaker, lecturer and consultant. He is an Associate Professor in Virginia Commonwealth University’s Information Systems Department and the Founding Director of datablueprint.com.

This presentation is brought to you in collaboration with:

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Presentation

Certain systems are more data focused than others.  Usually their primary focus is on accomplishing integration of disparate data.  In these cases, failure is most often attributable to the adoption of a single pillar (silver bullet).  The three webinars in the Data Systems Integration and Business Value series are designed to illustrate that good systems development more often depends on at least three DM disciplines (pie wedges) in order to provide a solid foundation.

Much of the discussion of metadata focuses on understanding it and the associated technologies.  While these are important, they represent a typical tool/technology focus and this has not achieved significant results to date.  A more relevant question when considering pockets of metadata is: Whether to include them in the scope organizational metadata practices.  By understanding what it means to include items in the scope of your metadata practices, you can begin to build systems that allow you to practice sophisticated ways to advance their data management and supported business initiatives.  After a bit of practice in this manner you can position your organization to better exploit any and all metadata technologies.

Learning objectives include:

• How do metadata practices contribute to business value
  • Lower operational costs
  • More flexible/adaptable architectures
• What is metadata and why is it important (value proposition focus)
• Metadata variety (types & subject areas)
• Metadata Management Building blocks
• Understanding foundational metadata concepts based on the Data Management Body of Knowledge (DMBOK)
• How to utilize metadata practices in support of business strategy

About the Speaker

Peter Aiken is an award-winning, internationally recognized thought leader in the area of organizational data management, architecture, and engineering. As a practicing data manager, consultant, author and researcher, he has been actively performing and studying these areas for more than 30 years. His sixth book is titled XML in Data Management. He has held leadership positions with the US Department of Defense and consulted with more than 50 organizations in 20 different counties. Dr. Aiken’s achievements have resulted in recognition in Outstanding Intellectuals of the 21st Century and bibliographic entries in Who’s Who of Emerging Leaders in America, Who’s Who in Science and Engineering, and other recognitions. His entertaining but clear and concise insights make him a sought after speaker, lecturer and consultant. He is an Associate Professor in Virginia Commonwealth University’s Information Systems Department and the Founding Director of datablueprint.com.

This presentation is brought to you in collaboration with:

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Presentation

Certain systems are more data focused than others.  Usually their primary focus is on accomplishing integration of disparate data.  In these cases, failure is most often attributable to the adoption of a single pillar (silver bullet).  The three webinars in the Data Systems Integration and Business Value series are designed to illustrate that good systems development more often depends on at least three DM disciplines (pie wedges) in order to provide a solid foundation.

Many organizations are modifying their IT portfolios to fully take advantage of the benefits of cloud computing. While the motivation is specific and focuses on broad-based challenges, all organizations are prepared to benefit from aspects of the cloud. This is accomplished by ensuring that cloud-hosted data share three attributes.  Cloud-hosted datasets must be of:

1. Higher quality data than those data residing outside of the cloud;
2. Lower volume (1/5 the size of data collections) than similar collections residing outside of the cloud; and
3. Increased share-ability than data residing outside the cloud.

Increases in capacity utilization, improved IT flexibility and responsiveness, as well as the forecast decreases in cost accruing to cloud-based computing are all possible after these first three conditions have been met.  Necessary investments in data engineering can help organizations to save even more money by reducing the amount of resources required to perform their duties and increasing the effectiveness of their duties and decision-making.  This webinar will show you how to recognize the opportunities, ‘size up’ the required investment, and properly supervise your efforts to take advantage of the opportunities presented by the cloud.

Learning objectives include:

• What are the great strengths of cloud-based data?
• Why cloud will likely be part of your future
• Three necessary but insufficient conditions for cloud-based DM success

About the Speaker

Peter Aiken is an award-winning, internationally recognized thought leader in the area of organizational data management, architecture, and engineering. As a practicing data manager, consultant, author and researcher, he has been actively performing and studying these areas for more than 30 years. His sixth book is titled XML in Data Management. He has held leadership positions with the US Department of Defense and consulted with more than 50 organizations in 20 different counties. Dr. Aiken’s achievements have resulted in recognition in Outstanding Intellectuals of the 21st Century and bibliographic entries in Who’s Who of Emerging Leaders in America, Who’s Who in Science and Engineering, and other recognitions. His entertaining but clear and concise insights make him a sought after speaker, lecturer and consultant. He is an Associate Professor in Virginia Commonwealth University’s Information Systems Department and the Founding Director of datablueprint.com.

This presentation is brought to you in collaboration with:

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Presentation

Certain systems are more data focused than others.  Usually their primary focus is on accomplishing integration of disparate data.  In these cases, failure is most often attributable to the adoption of a single pillar (silver bullet).  The three webinars in the Data Systems Integration and Business Value series are designed to illustrate that good systems development more often depends on at least three DM disciplines (pie wedges) in order to provide a solid foundation.

Integrating data across systems has been a perpetual challenge.  Unfortunately, the current technology-focused solutions have not helped IT to improve its dismal project success statistics.  Data warehouses, BI implementations, and general analytical efforts achieve the same levels of success as other IT projects – approximately 1/3^rd are considered successes when measured against price, schedule, or functionality objectives.  The first step is determining the appropriate analysis approach to the data system integration challenge.  The second step is understanding the strengths and weaknesses of various approaches. Turns out that proper analysis at this stage makes actual technology selection far more accurate. Only when these are accomplished can proper matching between problem and capabilities be achieved as the third step and true business value be delivered.

Learning objectives include:

• The intractable origins of most basic data system integration challenges
• Data system integration challenge analysis
• Understanding of a range of data system-integration technologies including
  • Problem space: BI, Analytics, Big Data
  • Data: Warehousing, Vault, Cube
  • Alternative approaches: Virtualization, Linked Data, Portals, Meta-models
• Understanding foundational data warehousing & BI concepts based on the Data Management Body of Knowledge (DMBOK)
• How to utilize data warehousing & BI in support of business strategy

About the Speaker

Peter Aiken is an award-winning, internationally recognized thought leader in the area of organizational data management, architecture, and engineering. As a practicing data manager, consultant, author and researcher, he has been actively performing and studying these areas for more than 30 years. His sixth book is titled XML in Data Management. He has held leadership positions with the US Department of Defense and consulted with more than 50 organizations in 20 different counties. Dr. Aiken’s achievements have resulted in recognition in Outstanding Intellectuals of the 21st Century and bibliographic entries in Who’s Who of Emerging Leaders in America, Who’s Who in Science and Engineering, and other recognitions. His entertaining but clear and concise insights make him a sought after speaker, lecturer and consultant. He is an Associate Professor in Virginia Commonwealth University’s Information Systems Department and the Founding Director of datablueprint.com.

This presentation is brought to you in collaboration with:

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Presentation

Failure to successfully monetize data management investments sets up an unfortunate loop of fixing symptoms without addressing the underlying problems.  As organizations begin to understand poor data management practices as the root causes of many of their business problems, they become more willing to make the required investments in our profession.  This presentation uses specific examples to illustrate the costs of poor data management and how it impacts business objectives.  Join us and learn how you can better align your data management projects with business objectives to justify funding and gain management approval.

Learning objectives include:

• The general ineffectiveness of data management investments and how to ensure success
• Root case analysis of data-related IT systems failures
• Success stories and monetization examples

About the Speaker

Peter Aiken is an award-winning, internationally recognized thought leader in the area of organizational data management, architecture, and engineering. As a practicing data manager, consultant, author and researcher, he has been actively performing and studying these areas for more than 30 years. His sixth book is titled XML in Data Management. He has held leadership positions with the US Department of Defense and consulted with more than 50 organizations in 20 different counties. Dr. Aiken’s achievements have resulted in recognition in Outstanding Intellectuals of the 21st Century and bibliographic entries in Who’s Who of Emerging Leaders in America, Who’s Who in Science and Engineering, and other recognitions. His entertaining but clear and concise insights make him a sought after speaker, lecturer and consultant. He is an Associate Professor in Virginia Commonwealth University’s Information Systems Department and the Founding Director of datablueprint.com.

This presentation is brought to you in collaboration with:

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Presentation

In order to succeed, organizations must realize what it means to utilize reference and MDM in support of business strategy.  This presentation provides you with an understanding of the goals of reference and MDM, including the establishment and implementation of authoritative data sources, more effective means of delivering data to various business processes, as well as increasing the quality of information used in organizational analytical functions, e.g. BI.  We also highlight the equal importance of incorporating data quality engineering into all efforts related to reference and master data management.

Learning objectives include:

• What is Reference & MDM and why is it important?
• Reference & MDM Frameworks and building blocks
• Guiding principles & best practices
• Understanding foundational reference & MDM concepts based on the Data Management Body of Knowledge (DMBOK)
• Utilizing reference & MDM in support of business strategy

About the Speaker

Peter Aiken is an award-winning, internationally recognized thought leader in the area of organizational data management, architecture, and engineering. As a practicing data manager, consultant, author and researcher, he has been actively performing and studying these areas for more than 30 years. His sixth book is titled XML in Data Management. He has held leadership positions with the US Department of Defense and consulted with more than 50 organizations in 20 different counties. Dr. Aiken’s achievements have resulted in recognition in Outstanding Intellectuals of the 21st Century and bibliographic entries in Who’s Who of Emerging Leaders in America, Who’s Who in Science and Engineering, and other recognitions. His entertaining but clear and concise insights make him a sought after speaker, lecturer and consultant. He is an Associate Professor in Virginia Commonwealth University’s Information Systems Department and the Founding Director of datablueprint.com.

This presentation is brought to you in collaboration with:

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Presentation

Organizations must realize what it means to utilize document and content management in support of business strategy.  The volume of unstructured data is growing at an enormous pace.  While we are still far away from automated content comprehension, increasingly sophisticated technologies are extending our business and data management capabilities into more critical and regulated areas.  This presentation provides you with an understanding of the dimensions of these new developments, including electronic and physical document monitoring, storage systems, content analysis and archive, retrieve and purge cycling.

Learning objectives include:

• What is Document & Content Management and why is it important?
• Planning and Implementing Document & Content Management
• Document/Record Management Lifecycle
• Levels of Control
• Content management building blocks
• Guiding principles & best practices
• Understanding foundational document & content management concepts based on the Data Management Body of Knowledge (DMBOK)

How to utilize document & content management in support of business strategy

About the Speaker

Peter Aiken is an award-winning, internationally recognized thought leader in the area of organizational data management, architecture, and engineering. As a practicing data manager, consultant, author and researcher, he has been actively performing and studying these areas for more than 30 years. His sixth book is titled XML in Data Management. He has held leadership positions with the US Department of Defense and consulted with more than 50 organizations in 20 different counties. Dr. Aiken’s achievements have resulted in recognition in Outstanding Intellectuals of the 21st Century and bibliographic entries in Who’s Who of Emerging Leaders in America, Who’s Who in Science and Engineering, and other recognitions. His entertaining but clear and concise insights make him a sought after speaker, lecturer and consultant. He is an Associate Professor in Virginia Commonwealth University’s Information Systems Department and the Founding Director of datablueprint.com.

This presentation is brought to you in collaboration with: