Tag Archives: Information Lifecycle Management

What Information Leaders should know about delivering secure, fresh, and accurate data

If you haven’t already, check out the Potential at Work for Information Leaders site. We’ve just posted three great new articles designed to help you be more successful:

  1. “Driving value without locking down your data” Securing your data doesn’t mean inhibiting its use – far from it.  Did you know that effective data masking practices allow information leaders to optimize the value data delivers to the organization while ensuring its security? Some forward-thinking information leaders are doing this and getting great results.
  2. “How fresh is your data?” Simply delivering data is not good enough anymore. You must get it to the right people at the right time while it is still fresh enough to be useful. Find out how to do it right.
  3. “Turn an application data migration initiative into a data governance pilot” A data migration effort can accomplish so much more than simply transferring data. Think about using it as an opportunity to improve the quality of existing data and apply new, higher standards to the information powering your organization.

Don’t miss out on topics that are key to your success. Please join the Potential at Work for Information Leaders community today. Available in nine languages, this site will continue to feature fresh, new ideas to promote the value of information management from a variety of top technology leaders.Sign up now!

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Build A Prioritized Data Management Roadmap

In my recent white paper, “Holistic Data Governance: A Framework for Competitive Advantage”, I aspirationally state that data governance should be managed as a self-sustaining business function no different than Finance.  With this in mind, last year I chased down Earl Fry, Informatica’s Chief Financial Officer, and asked him how his team helps our company prioritize investments and resources.  Earl suggested I speak with the head of our enterprise risk management group … and I left inspired!   I was shown a portfolio management-style approach to prioritizing risk management investment.  It used an easy to understand, business executive-friendly visualization “heat map” dashboard that aggregates and summarizes the multiple dimensions we use to model risk .    I asked myself: if an extremely mature and universally relevant business function like Finance manages its business this way, can’t the emerging discipline of data governance learn from it? Here’s what I’ve developed… (more…)

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Data Governance: How Immature Can You Be?

No organization begins to implement a data governance program from an entirely blank slate; every organization likely has some capabilities to leverage. Determining an organization’s current level of data governance maturity is a useful and necessary first step in developing a customized plan that is both relevant and executable.  So how do you assess your maturity?  Well throw a rock in any direction and you’re likely to hit a software vendor, consulting company or industry analyst that offers a maturity model and assessment tool to support your data management and data governance efforts.  Actually don’t throw rocks, you could hurt somebody.  (Yes, we offer one too – more on that below).  (more…)

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Introducing GovernYourData.com!

I’m excited to officially announce the public launch of www.GovernYourData.com, a new one-stop data governance resource center and online community hosted and sponsored by Informatica.    This vendor-neutral site is open to all data governance stakeholders, solution providers and thought leaders (no relationship with Informatica is required) and we welcome any non-promotional content and contributions that share best practices, tips and tricks that aim to help data governance evangelists succeed.  (more…)

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Data Governance Program Management: Herding Chickens – Really Important Chickens!

For the final facet of our data governance framework, I’ve intentionally saved Program Management for last.  I felt to fully demonstrate why your organization must invest in skilled program managers I should first introduce all the simultaneous moving parts that make up a comprehensive data governance strategy.  (For links to my posts deep diving into each facet, see my blog page). (more…)

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Comparing Native Oracle Database Tools to Third Party Solutions – The Missing Link Part 1 of 2

As one of the founders of Informatica’s Smart Partitioning capability, I am constantly asked, “Why can’t we just use (insert DB vendor here) tools to accomplish the same thing?”  What a great, simple, straightforward question…and what a nuanced answer!  Instead of talking about how great our technology is or walk through all the features and functionality, I thought it would be best to answer the actual question, “Why can’t we do this on our own?” In this two part series, we will explore the manual process of implementing Oracle database partitioning and compression in complex OLTP applications. (more…)

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Data Governance Measure & Monitor Processes Open a Window to Data and its Value

As mentioned in my post describing the major business processes that comprise a data governance function, the Measure and Monitor processes i) capture and measure the effectiveness and value generated from data governance and stewardship efforts, ii) monitors compliance and exceptions to defined policies and rules, and iii) enables transparency and auditability into data assets and their life cycle.  (more…)

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Data Governance Apply Processes Operationalize Human and Machine Roles

As mentioned in my post describing the major business processes that comprise a data governance function, the Apply processes aim to operationalize and ensure compliance with all the data governance policies, business rules, stewardship processes, workflows, and cross-functional roles and responsibilities captured through the Discover and Define process stages. (more…)

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Data Governance Define Processes Capture Business Policies, Rules and Standards

As mentioned in my post describing the major business processes that comprise a data governance function, the Define processes documents data definitions and business context associated with business terminology, taxonomies, relationships, as well as the policies, rules, standards, processes, and measurement strategy that must be defined to operationalize data governance efforts. This process runs parallel and is iterative to the Discover process stage as Discovery drives Definition, and Definition drives more targeted focus for Discovery(more…)

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