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  1. The New Maturity Model

    In Tamaya, the Community discussed and agreed to change the way the Maturity Model is represented graphically:

    1. Outcomes has been changed to Goals.

    2.  The Value Creation category, which was always the weakest element in the model in terms of content, has been replaced with Business Outcomes.

    3.  Data Risk Management has been moved from Outcomes/Goals to Enablers.

    In terms of underlying content, these changes are at this point cosmetic.  The new 5  Outcome Maps are designed to fill in the broader Business Outcome category in the Goals section, and the Community may move to build more maps or incorporate other content.

    I’m posting this for feedback and discussion.

  2. Infogov on Youtube

    There are three new videos from Council Members on our infogovcommunity YouTube Channel.  Tune in and have a look at what your peers have to say about the Smart Governance Forum meeting in Tamaya, the new Maturity Model Outcome Maps, the importance of the Community and what lies ahead.

    http://www.youtube.com/user/ibminfogov

    My video skills aren’t the best, but the value shines through anyway.  These are authentic and unrehearsed practitioner perspectives from some terrific contributors:

    - David Bartholomew, Southern California Edison
    - Amy Pfaff, TIAA-CREF
    - Cengiz Barlas, Discover Financial.

    We will post more video interviews in the months ahead, but should anyone want to contribute in this way please let me know.

  3. Business Outcomes

    Last week at the IBM Governance council meeting in Tamaya, NM the council voted to restructure the Maturity Model. The data risk management and compliance section moved from outcomes to an enabler. The Value Creation outcome was eliminated and replaced by a Business Outcomes category. Both moves are good. Value Creation has always been tough for people to get their arms around whereas Business Outcomes should be an easier concept for people to grasp and adopt.

    Back on my August 10th blog, I stated there were four types of value impacts – business outcomes – that were possible to achieve. The four are:

    1. financial or stakeholder loss of upside potential
    2. financial downside exposure
    3. business operations gains/losses
    4. customer relationship management

    I still believe these are the four outcomes people should be focused on when addressing information governance. I would be interested in other opinions. Are there more major categories?  Do the five business outcome maps make sense in this context? Looking for your inputs.

  4. Information is like Water

    In a white paper that I read a few months ago, the distinction between the technology and the business part of Information Governance was made by comparing the technology to the plumbing that delivers water.  To take the analogy further….

    Information is like water…

    Everybody needs it

    It surrounds us

    We take it for granted

    We expect it to be available

    We don’t think about what happens to it after we use it

    If there’s a leak in the system we often don’t know it.

    When it looks, smells, or tastes funny we have a hard time figuring out why …..

  5. Change isn’t just a Word

    Data Governance isn’t  a new word for the same old stuff.  If your organization isn’t achieving sustainable results from your data and information management projects, Data Governance can help.  But you’ll need to do more than just adopt a new name.  You’ll need to do something far harder – you will need to change how you work and how your IT systems work.

    This isn’t easy.  Best practices, Maturity Models, and Starter’s guides can help.  But at the end of the day if you don’t change, everything stays the same and the results are desultory and predictable.

    I meet a lot of people who ask me about the Data Governance products or roadmaps organizations should buy.  The best products you can buy are the ones that tell you what you don’t already know.  To govern effectively, you need to know what’s going on in the context to when it is happening, what it means, and how it relates to other things.  Governance without awareness is a dictatorship of ignorance – people make decisions in their comfort zones because they don’t know any better and don’t know that they don’t know any better either.

    OK, nice words Adler but what does that really look like?  It looks like Android.

    Last week I switched from an iPhone 3GS to a Samsung Galaxy S.  Lots of reasons behind the switch, a primary motivator for me is that Android is based on Linux, which in turn is based on the collective contributions of a global community coordinating their ideas for the common good.  I like that, and I like Android because as a mobile operating system it integrates lots of disparate applications to provide me with useful information when I need to know it.

    Example: Boingo.  Boingo is a wifi service that works in some 80,000 airports, hotels, and other hotspots around the world.  You pay a monthly service to Boingo to connect for “free” in these hotspots.  Very hand for a global traveler.  On the Iphone, you have an app but you have to first connect with the iPhone to a local hotspot and then see if Boingo works there.  This is an example of the old, industrial model of application development.  A single application developed for a singe purpose that the operator has to initialize.

    In Android, Boingo is integrated into the wifi backbone of the phone and the information notification system.  As I drive around my neighborhood, the phone alerts me automatically when I enter a Boingo hotspot and can connect.  It tells me what I don’t know and helps me take advantage of services I may need.  It is intelligent and by sharing information it offers me new opportunities.  It gives me content and context, when I know I need it and when I don’t.

    That’s the point of Data Governance.  You need to learn what you don’t know and help others to benefit from that information.  You need to enable and empower new information sharing technologies and methodologies.  Include the excluded, bring in the outliers, benefit from diverse points of view and find new solutions to age old problems that have befuddled and bemoaned your organization for decades.  You can’t warm over the same old stuff and call it Data Governance.  You can’t govern data, manage information or knowledge because these things are inert.

    But you can govern people and empower their decision-making with trusted information and insight about what’s going on every day that they don’t already know.  Because with knowledge, human beings can change their behavior and that’s what Data Governance is all about – changing organizational behavior.

    This isn’t a small thing.  This is a very big thing.  Its about the influence of Information on organizational structures, how corporations change how they work in an Information driven transformation.  This change isn’t coming from within.  We aren’t transforming organizations with information.  My god, if that were the case we would have succeeded decades ago with the first mainframes.  What’s happening today is that our organizations are being confronted with the change of billions of new sources of autonomous information production we don’t control.  This is the mass of humanity communicating with each other over the Internet with the speed of now and the intimacy of a small village.

    We aren’t transforming with information.  We are being transformed by information, and this is a wave of change we are either riding or drowning in.

    Newspapers, Magazines, Music and Movie production are already being replaced by global and autonomous information distribution.  Not everywhere, not all at once.  But even the strongest brands feel the pressure and are adapting to change.  In the beginning they will change their models of distribution.  Soon after, they will change models of work.

    Industrial models of organization – Thomas Gradgrind and the repetitive drudgery of assembly-line work, the process controls and enslaving stopwatch measurements of efficiency – these last vestiges of the way we worked in the latter 19th and 20th Centuries hold on in our organizations like a virus resisting antibiotics.  There are power structures invested in these models, and they will continue to hold on for some time yet to come.

    But you need to ask yourselves.  Where do you want to be working, in the past or in the future?  Riding on the wave or under it?

    Change isn’t just a word and Data Governance isn’t just an option.

  6. Data as an (un)natural resource

    When folks talk about information governance, I often hear the tag line: “Treat information like an asset.” We also talk about “information as a service” and about utility models of computing. This got me to thinking about how we steward and govern natural resources (water, oil, crops, etc.) and I tried to think about how governed information is like (and unlike) a natural resource.

    - Information can be transformed (grapes into wine!) into
    something more powerful
    - Information can be consumed
    - Information can age and lose value (like crops in the field)
    - Information can be polluted
    - Information can be destroyed

    On the “Not a Natural Resource” side of the ledger:

    - Information seems to grow and grow, unlike other natural
    resources (information as a weed?)

    I can’t figure out if this is a useful metaphor or just the result of too much Amaretto Bread Pudding at the Range Cafe in Bernalillo, New Mexico. What do you think?

    Ivan

  7. IBM Governance Council Recommends Outcome Oriented Maturity Model Templates

    In the beautiful Hyatt Regency Tamaya, the IBM Governance council voted on Tuesday on five use cases with a focused business outcome. Wednesday over a lively discussion of observed behaviors  and experiences, we came up with an outcome oriented maturity model for each of the five business outcomes.  What you see below is the minimum level of maturity for each of the areas of the model to achieve the specified business outcome.

    DG Business Value Maturity

    Now we need the help of the entire community to vet our opinions. Do you agree with our choices? Why? Why not? What would make each of these use cases more “real” or more useful?  Are there behaviors you have experienced in your environment that would change the level of maturity for one of the items on the list?

    Share with us your opinions, your experiences and ideas. — amy

    Semantic Consistency
    Initial Repeatable Defined Managed Optimizing
    Org Structures and Awareness X
    Stewardship X
    Policy X
    Data Risk Mgmt and Compliance X
    Info Security and Privacy X
    Data Architecture X
    Data Quality Mgmt X
    Classification and Metadata X
    ILM X
    Audit Information Logging and Reporting X
    Improve Quality of Reporting and Analytics to Promote Organizational Effectiveness
    Initial Repeatable Defined Managed Optimizing
    Org Structures and Awareness X
    Stewardship X
    Policy X
    Data Risk Mgmt and Compliance X
    Info Security and Privacy X
    Data Architecture X
    Data Quality Mgmt X
    Classification and Metadata X
    ILM X
    Audit Information Logging and Reporting X
    Single View of the Truth to Supply the Right Information to Run the Business
    Initial Repeatable Defined Managed Optimizing
    Org Structures and Awareness X
    Stewardship X
    Policy X
    Data Risk Mgmt and Compliance X
    Info Security and Privacy X
    Data Architecture X
    Data Quality Mgmt X
    Classification and Metadata X
    ILM X
    Audit Information Logging and Reporting X
    Transform Data into Valued Business Information to Make Smarter, Faster Decisions
    Initial Repeatable Defined Managed Optimizing
    Org Structures and Awareness X
    Stewardship X
    Policy X
    Data Risk Mgmt and Compliance X
    Info Security and Privacy X
    Data Architecture X
    Data Quality Mgmt X
    Classification and Metadata X
    ILM X
    Audit Information Logging and Reporting X
    Information that is Secured and Protected to Reduce Risk and Improve Compliance
    Initial Repeatable Defined Managed Optimizing
    Org Structures and Awareness X
    Stewardship X
    Policy X
    Data Risk Mgmt and Compliance X
    Info Security and Privacy X
    Data Architecture X
    Data Quality Mgmt X
    Classification and Metadata X
    ILM X
    Audit Information Logging and Reporting X DG Business Value Maturity
  8. Business Outcome Maturity Maps

    The  IBM Information Governance Council Meeting is meeting in Tamaya, New Mexico.  Yesterday, the Council created five Business Outcome Maturity Maps.  These charts recommend minimum levels of Information Governance Maturity to achieve these five desired business outcomes:

    1. We want semantic consistency to improve enterprise information understanding.
    2. Improve quality of reporting and analytics to promote organizational effectiveness
    3. Single View of the Truth to supply the right information to run the business
    4. Transform data into valued business information to make smarter, faster decisions
    5. Information that is secure and protected to reduce risk and improve compliance

    Rather than create new maturity models, the council has applied these maps as Points of View on the existing model, like a different lens on a camera to shoot different kinds of shots.

    These are Council Recommendations in draft from.  The Council will create new charts with contextual descriptions for each level on a Macro Level, and we are asking the Community to dig deeper into each Recommendation in each Business Outcome Map to make sure all the sub-categories support the category recommendations.  We also hope this exercise will reveal the need for new sub-categories related to people, process, and technology.

    We welcome community comments and look forward to discussions.

  9. Information Governance Maturity

    The IBM Information Governance Council Maturity Model is a model you use when you don’t know what IG is.  Its purpose is to encourage people to start a program by learning the basics.  That purpose remains extremely valid.  If you want to deliver trusted information to make smarter business decisions, this is a great resource.

    But we want to build IG into all the projects that people do today without IG -  like getting to know your customers, mining data for insights, protecting it from abuse, calculating operational risk, etc.  These are real world problems that companies solve today well and more often not so well.

    Often, people have to get things done today with fewer resources than they had yesterday and the best anyone can do is make the problem go away NOW.  Information Governance in these solutions are an afterthought at best and therefore the outcomes are only sustainable for a short time.

    In this presentation, I am proposing that our Community work on building Information Governance new maturity models based on the business outcomes organizations commonly seek.  By building these new models with the wisdom we already have, we can help advance Information Governance as a business enabler that helps every IT-based project achieve sustainable results.

    And that creates a business case for measuring maturity more often and will help make our Community the go-to resource for the latest know-how, thought leadership, and solutions.

    I am sharing this presentation in advance to give the Community time to absorb it and respond with comments and ideas.

    This is a flash file.

    Smart Governance Forum Tamaya Introduction

  10. Kloofzicht South Africa

    On August 20, IBM  hosted the fourth Information Governance Forum in South Africa in two years.  And this was by far the largest.

    184 people registered to attend, 92 participated in person, 35 filled out evaluation forms with a short survey, and 24 requested workshops following the event.

    Survey results:

    HAVE YOU DEFINED A BUSINESS PROBLEM(S) THAT IS DRIVING A NEED FOR INFORMATION GOVERNANCE?
    YES = 15
    NO = 7
    OTHER = 6

    IS THERE STRONG SPONSORSHIP FOR INFORMATION GOVERNANCE WITHIN YOUR ORGANISATION?
    YES = 10
    NO = 15
    OTHER = 4

    DO YOU HAVE AN INFORMATION GOVERNANCE PROGRAM? – IF SO, HOW LONG HAS IT BEEN?
    YES = 9
    NO = 7
    OTHER = 12

    HOW WOULD YOU RATE THE CURRENT LEVEL OF INFORMATION GOVERNANCE IN YOUR ORGANISATION?
    NON EXISTENT = 6
    IMMATURE = 12
    EMERGING = 13
    MATURE = 1

    It was a fantastic event with terrific audience participation and we look forward to working with all of our customers in South Africa on successful Information Governance programs and solutions.

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