OCDQ Blog Feed - OCDQ Radio

Solvency II and Data Quality

Jim Harris — Tue, 17 Apr 2012 01:00:00 PDT

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

During this episode, Ken O’Connor and I discuss the Solvency II standards for data quality, and how its European insurance regulatory requirement of “complete, appropriate, and accurate” data represents common sense standards for all businesses.

Ken O’Connor is an independent data consultant with over 30 years of hands-on experience in the field, specializing in helping organizations meet the data quality management challenges presented by data-intensive programs such as data conversions, data migrations, data population, and regulatory compliance such as Solvency II, Basel II / III, Anti-Money Laundering, the Foreign Account Tax Compliance Act (FATCA), and the Dodd–Frank Wall Street Reform and Consumer Protection Act.

Ken O’Connor also provides practical data quality and data governance advice on his popular blog at: kenoconnordata.com

Solvency II and Data Quality

Additional listening options:

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Click here to Browse the OCDQ Radio Archives and Schedule

Related OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

Data Governance Star Wars — Special Guests Rob Karel and Gwen Thomas joined this extended, and Star Wars themed, discussion about how to balance bureaucracy and business agility during the execution of data governance programs.

The Data Governance Imperative — Guest Steve Sarsfield discusses his book The Data Governance Imperative, explaining how data governance is about changing the hearts and minds of your company to see the value of data quality.

So Long 2011, and Thanks for All the . . . — The OCDQ Radio 2011 Year in Review, featuring Jarrett Goldfedder, who discusses Big Data, Nicola Askham, who discusses Data Governance, and Daragh O Brien, who discusses Data Privacy.

Data Driven — Guest Tom Redman (aka the “Data Doc”) discusses concepts from one of my favorite data quality books, which is his most recent book: Data Driven: Profiting from Your Most Important Business Asset.

Organizing for Data Quality — Guest Tom Redman (aka the “Data Doc”) discusses how your organization should approach data quality, including his call to action for your role in the data revolution.

Making EIM Work for Business — Guest John Ladley discusses his book Making EIM Work for Business, exploring what makes information management, not just useful, but valuable to the enterprise.

The Johari Window of Data Quality — Guest Martin Doyle discusses helping people better understand their data and assess its business impacts, not just the negative impacts of bad data quality, but also the positive impacts of good data quality.

The Blue Box of Information Quality — Guest Daragh O Brien on why Information Quality is bigger on the inside, using stories as an analytical tool and change management technique, and why we must never forget that “people are cool.”

Studying Data Quality — Guest Gordon Hamilton discusses the key concepts from recommended data quality books, including those which he has implemented in his career as a data quality practitioner.

The Fall Back Recap Show — A look back at the Best of OCDQ Radio, including discussions about Data, Information, Business-IT Collaboration, Change Management, Big Analytics, Data Governance, and the Data Revolution.

The Data Governance Imperative

Jim Harris — Tue, 03 Apr 2012 01:00:00 PDT

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

During this episode, Steve Sarsfield and I discuss how data governance is about changing the hearts and minds of your company to see the value of data quality, the characteristics of a data champion, and creating effective data quality scorecards.

Steve Sarsfield is a leading author and expert in data quality and data governance. His book The Data Governance Imperative is a comprehensive exploration of data governance focusing on the business perspectives that are important to data champions, front-office employees, and executives. He runs the Data Governance and Data Quality Insider, which is an award-winning and world-recognized blog. Steve Sarsfield is the Product Marketing Manager for Data Governance and Data Quality at Talend.

The Data Governance Imperative

Additional listening options:

Click here to Download the MP3 file for this OCDQ Radio episode

Click here to Subscribe to OCDQ Radio via iTunes

Click here to Subscribe to OCDQ Radio via its RSS feed (non iTunes)

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Click here to Browse the OCDQ Radio Archives and Schedule

Win a copy of the Book

Steve Sarsfield wants to give one OCDQ Radio listener a free copy of The Data Governance Imperative

Here is how the book contest will work:

(1) Book Contest Question — Name at least one of the characteristics of a data champion that Steve Sarsfield described during this OCDQ Radio episode.

(2) Book Contest Deadline — By or before April 30, 2012, Email Jim Harris with your answer to the book contest question.

(3) Book Contest Winner — In May 2012, one winner will be randomly selected from the emails containing the correct answer to the contest question, and Steve Sarsfield (or his publisher) will email the winner requesting a shipping address for the book.

Data Governance and Data Quality

MacGyver: Data Governance and Duct Tape

Data Governance Frameworks are like Jigsaw Puzzles

The Three Most Important Letters in Data Governance

Data Governance and the Adjacent Possible

Data Governance Star Wars: Balancing Bureaucracy and Agility

Beware the Data Governance Ides of March

Aristotle, Data Governance, and Lead Rulers

Data Governance and the Buttered Cat Paradox

The Data Governance Oratorio

Video: Declaration of Data Governance

The Collaborative Culture of Data Governance

Related OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

Data Governance Star Wars — Special Guests Rob Karel and Gwen Thomas joined this extended, and Star Wars themed, discussion about how to balance bureaucracy and business agility during the execution of data governance programs.

So Long 2011, and Thanks for All the . . . — The OCDQ Radio 2011 Year in Review, featuring Jarrett Goldfedder, who discusses Big Data, Nicola Askham, who discusses Data Governance, and Daragh O Brien, who discusses Data Privacy.

Data Driven — Guest Tom Redman (aka the “Data Doc”) discusses concepts from one of my favorite data quality books, which is his most recent book: Data Driven: Profiting from Your Most Important Business Asset.

Making EIM Work for Business — Guest John Ladley discusses his book Making EIM Work for Business, exploring what makes information management, not just useful, but valuable to the enterprise.

The Johari Window of Data Quality — Guest Martin Doyle discusses helping people better understand their data and assess its business impacts, not just the negative impacts of bad data quality, but also the positive impacts of good data quality.

The Blue Box of Information Quality — Guest Daragh O Brien on why Information Quality is bigger on the inside, using stories as an analytical tool and change management technique, and why we must never forget that “people are cool.”

Data Quality and Big Data

Jim Harris — Thu, 08 Mar 2012 01:00:00 PST

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

This is Part 2 of 2 from my recent discussion with Tom Redman. In this episode, Tom and I discuss data quality and big data, including if data quality matters less in larger data sets, if statistical outliers represent business insights or data quality issues, statistical sampling errors versus measurement calibration errors, mistaking signal for noise (i.e., good data for bad data), and whether or not the principles and practices of true “data scientists” will truly be embraced by an organization’s business leaders.

Dr. Thomas C. Redman (the “Data Doc”) is an innovator, advisor, and teacher. He was first to extend quality principles to data and information in the late 80s. Since then he has crystallized a body of tools, techniques, roadmaps and organizational insights that help organizations make order-of-magnitude improvements.

More recently Tom has developed keen insights into the nature of data and formulated the first comprehensive approach to “putting data to work.” Taken together, these enable organizations to treat data as assets of virtually unlimited potential.

Tom has personally helped dozens of leaders and organizations better understand data and data quality and start their data programs. He is a sought-after lecturer and the author of dozens of papers and four books. The most recent, Data Driven: Profiting from Your Most Important Business Asset (Harvard Business Press, 2008) was a Library Journal best buy of 2008.

Prior to forming Navesink Consulting Group in 1996, Tom conceived the Data Quality Lab at AT&T Bell Laboratories in 1987 and led it until 1995. Tom holds a Ph.D. in statistics from Florida State University. He holds two patents.

Data Quality and Big Data

Additional listening options:

Click here to Download the MP3 file for this OCDQ Radio episode

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Click here to Listen to OCDQ Radio on your Mobile with Stitcher SmartRadio

Click here to Browse the OCDQ Radio Archives and Schedule

Bayesian Data-Driven Decision Making

Magic Elephants, Data Psychics, and Invisible Gorillas

Big Data el Memorioso

Neither the I Nor the T is Magic

Information Overload Revisited

HoardaBytes and the Big Data Lebowski

WYSIWYG and WYSIATI

The Speed of Decision

The Data-Decision Symphony

A Decision Needle in a Data Haystack

The Big Data Collider

Dot Collectors and Dot Connectors

Related OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

Data Driven — Guest Tom Redman (aka the “Data Doc”) discusses concepts from one of my favorite data quality books, which is his most recent book: Data Driven: Profiting from Your Most Important Business Asset.

Organizing for Data Quality — Guest Tom Redman (aka the “Data Doc”) discusses how your organization should approach data quality, including his call to action for your role in the data revolution.

So Long 2011, and Thanks for All the . . . — The OCDQ Radio 2011 Year in Review, featuring Jarrett Goldfedder, who discusses Big Data, Nicola Askham, who discusses Data Governance, and Daragh O Brien, who discusses Data Privacy.

Big Data and Big Analytics — Guests Jill Dyché and Dan Soceanu discuss big trends in Business Intelligence, including Cloud, Collaboration, and Big Data, the last of which lead to a discussion about Big Analytics.

Good-Enough Data for Fast-Enough Decisions — Guest Julie Hunt discusses Data Quality and Business Intelligence, including the speed versus quality debate of near-real-time decision making, and the future of predictive analytics.

Decision Management Systems — Guest James Taylor discusses concepts from his book: Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics

Data Driven

Jim Harris — Mon, 05 Mar 2012 15:00:00 PST

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

This is Part 1 of 2 from my recent discussion with Tom Redman. In this episode, Tom and I discuss concepts from one of my favorite data quality books, which is his most recent book: Data Driven: Profiting from Your Most Important Business Asset.

Our discussion includes viewing data as an asset, an organization’s hierarchy of data needs, a simple model for culture change, and attempting to achieve the “single version of the truth” being marketed as a goal of master data management (MDM).

Data Driven

Additional listening options:

Click here to Download the MP3 file for this OCDQ Radio episode

Click here to Subscribe to OCDQ Radio via iTunes

Click here to Subscribe to OCDQ Radio via its RSS feed (non iTunes)

Click here to Listen to OCDQ Radio on your Mobile with Stitcher SmartRadio

Click here to Browse the OCDQ Radio Archives and Schedule

Win a copy of the Book

Tom Redman wants to give one OCDQ Radio listener a free copy of Data Driven: Profiting from Your Most Important Business Asset

Here is how the book contest will work:

(1) Book Contest Question — Name at least one of the five aspects of the hierarchy of data and information needs that was described by Tom Redman during this OCDQ Radio episode.

(2) Book Contest Deadline — By or before March 31, 2012, Email Jim Harris with your answer to the book contest question.

(3) Book Contest Winner — In April 2012, one winner will be randomly selected from the emails containing the correct answer to the contest question, and Tom Redman (or his publisher) will email the winner requesting a shipping address for the book.

A Farscape Analogy for Data Quality

The Data Quality Wager

DQ-View: Data Is as Data Does

Common Change

DQ-View: Talking about Data

Hailing Frequencies Open

Beyond a “Single Version of the Truth”

DQ-Tip: “Don't pass bad data on to the next person...”

Hyperactive Data Quality (Second Edition)

Data Quality: Quo Vadimus?

Data Quality and Miracle Exceptions

Related OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

Organizing for Data Quality — Guest Tom Redman (aka the “Data Doc”) discusses how your organization should approach data quality, including his call to action for your role in the data revolution.

Making EIM Work for Business — Guest John Ladley discusses his book Making EIM Work for Business, exploring what makes information management, not just useful, but valuable to the enterprise.

The Johari Window of Data Quality — Guest Martin Doyle discusses helping people better understand their data and assess its business impacts, not just the negative impacts of bad data quality, but also the positive impacts of good data quality.

Studying Data Quality — Guest Gordon Hamilton discusses the key concepts from recommended data quality books, including those which he has implemented in his career as a data quality practitioner.

The Blue Box of Information Quality — Guest Daragh O Brien on why Information Quality is bigger on the inside, using stories as an analytical tool and change management technique, and why we must never forget that “people are cool.”

Master Data Management in Practice — Guests Dalton Cervo and Mark Allen discuss their book MDM in Practice, and how to properly prepare for a new MDM program.

Decision Management Systems

Jim Harris — Tue, 07 Feb 2012 01:00:00 PST

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

During this episode, I discuss decision management with James Taylor, author of the new book Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics.

James Taylor is the CEO of Decision Management Solutions, and the leading expert in Decision Management Systems, which are active participants in improving business results by applying business rules, predictive analytics, and optimization technologies to address the toughest issues facing businesses today, and changing the way organizations are doing business.

James Taylor has led Decision Management efforts for leading companies in insurance, banking, health management, and telecommunications. Decision Management Solutions works with clients to improve their business by applying analytics and business rules technology to automate and improve decisions. Clients range from start-ups and software companies to major North American insurers, a travel company, the health management division of a major healthcare company, one of Europe’s largest banks, and several major decision management technology vendors.

Decision Management Systems

Additional listening options:

Click here to Download the MP3 file for this OCDQ Radio episode

Click here to Subscribe to OCDQ Radio via iTunes

Click here to Subscribe to OCDQ Radio via its RSS feed (non iTunes)

Click here to Listen to OCDQ Radio on your Mobile with Stitcher SmartRadio

Click here to Browse the OCDQ Radio Archives and Schedule

Win a copy of the Book

James Taylor wants to give one OCDQ Radio listener a free copy of Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics

Here is how the book contest will work:

(1) Book Contest Question — Name at least one of the four principles of decision management systems that was described by James Taylor during this OCDQ Radio episode.

(2) Book Contest Deadline — By or before February 29, 2012, Email Jim Harris with your answer to the book contest question.

(3) Book Contest Winner — In March 2012, one winner will be randomly selected from the emails containing the correct answer to the contest question, and James Taylor (or his publisher) will email the winner requesting a shipping address for the book.

Dot Collectors and Dot Connectors

Bayesian Data-Driven Decision Making

The Speed of Decision

The Big Data Collider

Decision-Driven Data Management

Satisficing Data Quality

The Data that Supported the Decision

Related OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

Good-Enough Data for Fast-Enough Decisions — Guest Julie Hunt on Data Quality and Business Intelligence

Big Data and Big Analytics — Special Guests Jill Dyché and Dan Soceanu on big trends in Business Intelligence

Making EIM Work for Business — Guest John Ladley discusses his book: Making EIM Work for Business

The Johari Window of Data Quality

Jim Harris — Thu, 26 Jan 2012 01:00:00 PST

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

The Johari Window is a term from psychology for a technique used to help people better understand their personality and behavior by combining a self assessment with assessments from their peers. In relation to data, the Johari Window is a metaphor for helping people better understand their data and assess its business impacts, not just the negative impacts of bad data quality, but also the positive impacts of good data quality.

During this episode, I discuss the Johari Window of Data Quality with Martin Doyle. Our discussion, inspired by our blog comment banter on my post There is No Such Thing as a Root Cause, includes root cause analysis, the pursuit of data perfection, metadata, communication, Business-IT collaboration, change management, defect prevention, and continuous improvement.

Martin Doyle is a Data Quality Improvement Evangelist and the CEO of DQ Global, which is a UK-based data quality software and services vendor providing data cleansing, international address and email verification, data deduplication, and data matching solutions for Customer Relationship Management, Single Customer View, and Master Data Management. DQ Global has worked with over 500 businesses worldwide on a variety of projects, providing their clients with improved data quality, making their data fit for business use, and enabling them to trust their data and make decisions based on a foundation of fact.

The Johari Window of Data Quality

Additional listening options:

Click here to Download the MP3 file for this OCDQ Radio episode

Click here to Subscribe to OCDQ Radio via iTunes

Click here to Subscribe to OCDQ Radio via its RSS feed (non iTunes)

Click here to Listen to OCDQ Radio on your Mobile with Stitcher SmartRadio

Click here to Browse the OCDQ Radio Archives and Schedule

There is No Such Thing as a Root Cause

The Dichotomy Paradox, Data Quality and Zero Defects

The Asymptote of Data Quality

To Our Data Perfectionists

DQ-View: The Cassandra Effect

The Data Quality Wager

DQ-View: Data Is as Data Does

Selling the Business Benefits of Data Quality

Related OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

Redefining Data Quality — Guest Peter Perera discusses his proposed redefinition of data quality

The Blue Box of Information Quality — Guest Daragh O Brien on why Information Quality is bigger on the inside

Studying Data Quality — Guest Gordon Hamilton on the key concepts from recommended Data Quality books

Organizing for Data Quality — Guest Tom Redman (aka the “Data Doc”) discusses Data Quality best practices

Scary Calendar Effects

Jim Harris — Fri, 13 Jan 2012 01:00:00 PST

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

During this episode, recorded on the first of three occurrences of Friday the 13th in 2012, I discuss scary calendar effects.

In other words, I discuss how schedules, deadlines, and other date-related aspects can negatively affect enterprise initiatives such as data quality, master data management, and data governance.

Please Beware: This episode concludes with the OCDQ Radio Theater production of Data Quality and Friday the 13th.

Scary Calendar Effects

Additional listening options:

Click here to Download the MP3 file for this OCDQ Radio episode

Click here to Subscribe to OCDQ Radio via iTunes

Click here to Subscribe to OCDQ Radio via its RSS feed (non iTunes)

Click here to Listen to OCDQ Radio on your Mobile with Stitcher SmartRadio

Click here to Browse the OCDQ Radio Archives and Schedule

Data Quality and #FollowFriday the 13th

The Moirae, Deadlines and Working within Limits

The Fiscal Calendar Effect

Eternal September and Tacit Knowledge

“What is is the was of what shall be”

Popular OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

So Long 2011, and Thanks for All the . . . — Don’t Panic! This is the OCDQ Radio 2011 Year in Review episode

The Fall Back Recap Show — Celebrating the autumnal equinox with a look back at the Best of OCDQ Radio

The Blue Box of Information Quality — Guest Daragh O Brien on why Information Quality is bigger on the inside

Redefining Data Quality — Guest Peter Perera discusses his proposed redefinition of data quality

Studying Data Quality — Guest Gordon Hamilton on the key concepts from recommended Data Quality books

So Long 2011, and Thanks for All the . . .

Jim Harris — Thu, 29 Dec 2011 01:00:00 PST

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

Don’t Panic! Welcome to the mostly harmless OCDQ Radio 2011 Year in Review episode. During this approximately 42 minute episode, I recap the data-related highlights of 2011 in a series of sometimes serious, sometimes funny, segments, as well as make wacky and wildly inaccurate data-related predictions about 2012.

Special thanks to my guests Jarrett Goldfedder, who discusses Big Data, Nicola Askham, who discusses Data Governance, and Daragh O Brien, who discusses Data Privacy. Additional thanks to Rich Murnane and Dylan Jones. And Deep Thanks to that frood Douglas Adams, who always knew where his towel was, and who wrote The Hitchhiker’s Guide to the Galaxy.

So Long 2011, and Thanks for All the . . .

Additional listening options:

Click here to Download the MP3 file for this OCDQ Radio episode

Click here to Subscribe to OCDQ Radio via iTunes

Click here to Subscribe to OCDQ Radio via its RSS feed (non iTunes)

Click here to Listen to OCDQ Radio on your Mobile with Stitcher SmartRadio

Click here to Browse the OCDQ Radio Archives and Schedule

Previous OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

Redefining Data Quality — Guest Peter Perera discusses his proposed redefinition of data quality

Making EIM Work for Business — Guest John Ladley discusses his book: Making EIM Work for Business

The Fall Back Recap Show — Celebrating the autumnal equinox with a look back at the Best of OCDQ Radio

The Blue Box of Information Quality — Guest Daragh O Brien on why Information Quality is bigger on the inside

Good-Enough Data for Fast-Enough Decisions — Guest Julie Hunt on Data Quality and Business Intelligence

Studying Data Quality — Guest Gordon Hamilton on the key concepts from recommended Data Quality books

DAMA International — Guest Loretta Mahon Smith provides an overview of the DAMA DMBOK and CDMP

The Higher Education of Data Quality — Guest Mark Horseman discusses Data Quality in Higher Education

International Data Quality — Guest Graham Rhind discusses international name and address Data Quality

Big Data and Big Analytics — Special Guests Jill Dyché and Dan Soceanu on big trends in Business Intelligence

Organizing for Data Quality — Guest Tom Redman (aka the “Data Doc”) discusses Data Quality best practices

The Age of the Platform — Guest Phil Simon discusses his fourth book: The Age of the Platform

Social Media Strategy — Guest Crysta Anderson of IBM Initiate on Social Media strategy and content marketing

Data Profiling Early and Often — Guest James Standen discusses Data Profiling concepts and practices

Data Governance Star Wars — Special Guests Rob Karel and Gwen Thomas discuss Data Governance programs

Master Data Management in Practice — Guests Dalton Cervo and Mark Allen on their book: MDM in Practice

The Art of Data Matching — Guest Henrik Liliendahl Sørensen discusses Data Matching concepts and practices

Data Quality Pro — Guest Dylan Jones discusses new features coming soon to DataQualityPro.com

A Brave New Data World — We are now living in a brave new data world where everyone is a data geek

Redefining Data Quality

Jim Harris — Mon, 19 Dec 2011 01:00:00 PST

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

During this episode, I have an occasionally spirited discussion about data quality with Peter Perera, partially precipitated by his provocative post from this past summer, The End of Data Quality...as we know it, which included his proposed redefinition of data quality, as well as his perspective on the relationship of data quality to master data management and data governance.

Peter Perera is a recognized consultant and thought leader with significant experience in Master Data Management, Customer Relationship Management, Data Quality, and Customer Data Integration. For over 20 years, he has been advising and working with Global 5000 organizations and mid-size enterprises to increase the usability and value of their customer information.

Redefining Data Quality

Additional listening options:

Click here to Download the MP3 file for this OCDQ Radio episode

Click here to Subscribe to OCDQ Radio via iTunes

Click here to Subscribe to OCDQ Radio via its RSS feed (non iTunes)

Click here to Listen to OCDQ Radio on your Mobile with Stitcher SmartRadio

Click here to Browse the OCDQ Radio Archives and Schedule

You Say Potato and I Say Tater Tot

You only get a Return from something you actually Invest in

Listen to John Ladley discuss why Data and Information are Enterprise Assets on OCDQ Radio

Listen to Daragh O Brien discuss Data and Information Quality on OCDQ Radio

Listen to Gordon Hamilton discuss the Information Product on OCDQ Radio

Listen to Peter Benson discuss Metadata, Data, and Information on the Knights of the Data Roundtable

Plato’s Data

Data, Information, and Knowledge Management

The Data-Information Continuum

The First Law of Data Quality

Making EIM Work for Business

Jim Harris — Tue, 13 Dec 2011 01:00:00 PST

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

During this episode, I discuss Enterprise Information Management (EIM) with John Ladley, the author of the excellent book Making EIM Work for Business, exploring what makes information management, not just useful, but valuable to the enterprise.

John Ladley is a business technology thought leader with 30 years of experience in improving organizations through the successful implementation of information systems. He is a recognized authority in the use and implementation of business intelligence and enterprise information management. John Ladley frequently writes and speaks on a variety of technology and enterprise information management topics. His information management experience is balanced between strategic technology planning, project management, and, most important, the practical application of technology to business problems.

Making EIM Work for Business

Additional listening options:

Click here to Download the MP3 file for this OCDQ Radio episode

Click here to Subscribe to OCDQ Radio via iTunes

Click here to Subscribe to OCDQ Radio via its RSS feed (non iTunes)

Click here to Listen to OCDQ Radio on your Mobile with Stitcher SmartRadio

Click here to Browse the OCDQ Radio Archives and Schedule

Win a copy of the Book

John Ladley and Morgan Kaufmann Publishers want to give one OCDQ Radio listener a free copy of Making EIM Work for Business

Here is how the book contest will work:

(1) Book Contest Question — During this OCDQ Radio episode, John Ladley explained how EIM requires a change in the data and business environment using what sports analogy?

(2) Book Contest Deadline — By December 31, 2011, Email Jim Harris with your answer to the book contest question.

(3) Book Contest Winner — In January 2012, one winner will be randomly selected from the emails containing the correct answer to the contest question, and then Morgan Kaufmann will email the winner requesting a postal address to ship the book.

Previous OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

The Fall Back Recap Show — Celebrating the autumnal equinox with a look back at the Best of OCDQ Radio

The Blue Box of Information Quality — Guest Daragh O Brien on why Information Quality is bigger on the inside

Good-Enough Data for Fast-Enough Decisions — Guest Julie Hunt on Data Quality and Business Intelligence

Studying Data Quality — Guest Gordon Hamilton on the key concepts from recommended Data Quality books

DAMA International — Guest Loretta Mahon Smith provides an overview of the DAMA DMBOK and CDMP

The Higher Education of Data Quality — Guest Mark Horseman discusses Data Quality in Higher Education

International Data Quality — Guest Graham Rhind discusses international name and address Data Quality

Big Data and Big Analytics — Special Guests Jill Dyché and Dan Soceanu on big trends in Business Intelligence

Organizing for Data Quality — Guest Tom Redman (aka the “Data Doc”) discusses Data Quality best practices

The Age of the Platform — Guest Phil Simon discusses his fourth book: The Age of the Platform

Social Media Strategy — Guest Crysta Anderson of IBM Initiate on Social Media strategy and content marketing

Data Profiling Early and Often — Guest James Standen discusses Data Profiling concepts and practices

Data Governance Star Wars — Special Guests Rob Karel and Gwen Thomas discuss Data Governance programs

Master Data Management in Practice — Guests Dalton Cervo and Mark Allen on their book: MDM in Practice

The Art of Data Matching — Guest Henrik Liliendahl Sørensen discusses Data Matching concepts and practices

Data Quality Pro — Guest Dylan Jones discusses new features coming soon to DataQualityPro.com

A Brave New Data World — We are now living in a brave new data world where everyone is a data geek

OCDQ Blog Feed - OCDQ Radio

Solvency II and Data Quality

Solvency II and Data Quality

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The Data Governance Imperative

The Data Governance Imperative

Win a copy of the Book

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Data Quality and Big Data

Data Quality and Big Data

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Data Driven

Data Driven

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Decision Management Systems

Decision Management Systems

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The Johari Window of Data Quality

The Johari Window of Data Quality

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Scary Calendar Effects

Scary Calendar Effects

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So Long 2011, and Thanks for All the . . .

So Long 2011, and Thanks for All the . . .

Previous OCDQ Radio Episodes

Redefining Data Quality

Redefining Data Quality

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Making EIM Work for Business

Making EIM Work for Business

Win a copy of the Book

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