Tag Archives: Governance

Talk Amongst Yourselves: Why Twitter Needs #DataChat

Listeng to #DataChatWithin Government organizations, technologists are up against a wall of sound. In one ear, they hear consumers cry for faster, better service.

In the other, they hear administrative talk of smaller budgets and scarcer resources.

As stringent requirements for both transparency and accountability grow, this paradox of pressure increases.

Sometimes, the best way to cope is to TALK to somebody.

What if you could ask other data technologists candid questions like:

  • Do you think government regulation helps or hurts the sharing of data?
  • Do you think government regulators balance the privacy needs of the public with commercial needs?
  • What are the implications of big data government regulation, especially for users?
  • How can businesses expedite the government adoption of the cloud?
  • How can businesses aid in the government overcoming the security risks associated with the cloud?
  • How should the policy frameworks for handling big data differ between the government and the private sector?

What if you could tell someone who understood? What if they had sweet suggestions, terrific tips, stellar strategies for success? We think you can. We think they will.

That’s why Twitter needs a #DataChat.

Twitter Needs #DataChat

Third Thursdays, 3:00 PM EST

What on earth is a #DataChat?
Good question. It’s a Twitter Chat – A public dialog, at a set time, on a set topic. It’s something like a crowd-sourced discussion. Any Twitter user can participate simply by including the applicable hashtag in each tweet. Our hashtag is #DataChat. We’ll connect on Twitter, on the third Thursday of each month to share struggles, victories and advice about data governance. We’re going to begin this week, Thursday April 17, at 3:00 PM Eastern Time. For our first chat, we are going to discuss topics that relate to data technologies in government organizations.

What don’t you join us? Tell us about it. Mark your calendar. Bring a friend.

Because, sometimes, you just need someone to talk to.

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Posted in Big Data, Data Governance, Governance, Risk and Compliance, Public Sector | Tagged , , , , | Leave a comment

Why the Government needs Data Integration

Data IntegrationLoraine Lawson does an outstanding job of covering the issues around government use of “data heavy” projects.  This includes a report by the government IT site, MeriTalk.

“The report identifies five factors, which it calls the Big Five of IT, that will significantly affect the flow of data into and out of organizations: Big data, data center consolidation, mobility, security and cloud computing.”

MeriTalk surveyed 201 state and local government IT professionals, and found that, while the majority of organizations plan to deploy the Big Five, 94 percent of IT pros say their agency is not fully prepared.  “In fact, if Big Data, mobile, cloud, security and data center consolidation all took place today, 89 percent say they’d need additional network capacity to maintain service levels. Sixty-three percent said they’d face network bottleneck risks, according to the report.”

This report states what most who work with the government already know; the government is not ready for the influx of data.  Nor is the government ready for the different uses of data, and thus there is a large amount of risk as the amount of data under management within the government explodes.

Add issues with the approaches and technologies leveraged for data integration to the list.  As cloud computing and mobile computing continue to rise in popularity, there is not a clear strategy and technology for syncing data in the cloud, or on mobile devices, with data that exists within government agencies.  Consolidation won’t be possible without a sound data integration strategy, nor will the proper use of big data technology.

The government sees a huge wave of data heading for it, as well as opportunities with new technology such as big data, cloud, and mobile.  However, there doesn’t seem to be an overall plan to surf this wave.  According to the report, if they do wade into the big data wave, they are likely to face much larger risks.

The answer to this problem is really rather simple.  As the government moves to take advantage of the rising tide of data, as well as new technologies, they need to be funded to get the infrastructure and the technology they need to be successful.  The use of data integration approaches and technologies, for example, will return the investment ten-fold, if properly introduced into the government problem domains.  This includes integration with big data systems, mobile devices, and, of course, the rising use of cloud-based platforms.

While data integration is not a magic bullet for the government, nor any other organization, the proper and planned use of this technology goes a long way toward reducing the inherent risks that the report identified.  Lacking that plan, I don’t think the government will get very far, very fast.

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Posted in Data Integration, Public Sector | Tagged , , | Leave a comment

Asset in, Garbage Out: Measuring data degradation

Following up on the discussion I started on GovernYourData.com (thanks to all who provided great feedback), here’s my full proposal on this topic: 

We all know about the “Garbage In/Garbage Out” reality that data quality and data governance practitioners have been fighting against for decades.   If you don’t trust data when it’s initially captured, how can you trust it when it’s time to consume or analyze it?  But I’m also looking at the tougher problem of data degradation.  The data comes into your environment just fine, but any number of actions, events – or inactions – turns that “good” data “bad”.   

So far I’ve been able to hypothesize eight root causes of data degradation.  I’d really love your feedback on both the validity and completeness of these categories.   I’ve used similar examples across a number of these to simplify. (more…)

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Posted in Data Governance | Tagged , , , , , , , | 1 Comment

Enterprise Data Archiving Is White Hot

Informatica recently hosted a webinar on Enterprise Data Archiving Best Practices with guest speakers, Tony Baer from Ovum and Murali Rathnam from Symantec IT.  With over 600 registrations, I would say that enterprise data archiving is not hot, it is white hot.  At least for Informatica.  With Big Data entering the data center, organizations are looking for ways to make room – either in the budget or in the data center itself.  Archiving is a proven approach that achieves both.  Given the complexities and interconnections of enterprise applications, Enterprise Data Archive solutions based on market leading technologies such as Informatica Data Archive, can deliver on the value proposition while meeting tough requirements.  (more…)

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Posted in Application ILM, Data Archiving | Tagged , , , , , , , | Leave a comment

Learn How Ochsner Health System is Unlocking the Potential of Data in Booth 5005

Nothing tells a more compelling story than a happy customer. This is why we are excited to have Ochsner Health System join us during HIMSS. Jonathan Stevenson, Director of Analytics and Data Management, will be in Informatica booth 5005 sharing the Ochsner Health System accountable care plans, the analytics vision, success to date and lessons learned.

Ochsner Health System is Southeast Louisiana’s largest healthcare delivery network with eight hospitals, thirty eight health centers, over twelve-thousand employees and hundreds of applications. This data resides in disparate clinical and operational data silos. This is a challenge for an organization that has been chosen to be one of the early shared savings program participants. The requirements for success include knowing what’s happening with patients outside of the four doors of Ochsner, forming community best practices and knowing where patients are seeking care. (more…)

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Posted in Data Integration, Data Integration Platform, Data Migration, Healthcare | Tagged , , , , , | Leave a comment

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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Posted in Data Governance | Tagged , , , , , , , , , , , | 1 Comment

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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2013 Cloud Data Management Predictions

Ok, I know it’s a little late to post 2013 technology predictions, but with so many good ones published already, I figured I’d sandbag a little and not only post a few of my own but also share a few of my favorites so far. For me, it starts with Mary Meeker’s Internet Trends presentation. 2013 is going to be a year of “re-imagining” enterprise software, from social, to mobile, to cloud, to Big Data and Analytics.

I summarized my 2012 predictions in an earlier post and Informatica already posted some great predictions from the world of data. Here are my 2013 cloud data management predictions. (more…)

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Posted in Business/IT Collaboration, CIO, Cloud Computing, Enterprise Data Management, Integration Competency Centers, Master Data Management, PaaS, SaaS | Tagged , , , , , , , , , | 1 Comment

The Carrot and Stick Are Must-Haves in the Data Governance Toolbox

The next facet of our Data Governance Framework recognizes the key dependency any data governance-related effort has on change management.  No matter how compelling the vision and business case, making data a trusted corporate asset on par with your financial and people assets is a major culture shift for most organizations.

(more…)

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The Process Stages of Data Governance

To truly manage data as a valued enterprise asset, data governance must be managed as a business function like finance or human resources.  A finance function is comprised of multiple core business processes such as accounts payable, accounts receivable, payroll and financial planning.  So to manage data governance as a function, what are the core business processes that comprise data governance? (more…)

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Posted in Data Governance | Tagged , , , , , , , , | 1 Comment