Tag Archives: Governance
If you’ve spent some time studying and practicing data governance, you would agree that data governance is a challenging yet rewarding endeavor. Across industries, a growing number of organizations have put data governance programs in place so they can more effectively manage their data to drive the business value. But the reality is, data governance is a complex process, and most companies practicing data governance today are still at the early phase of this very long journey. In fact, according to the result from over 240 completed data governance assessments on http://governyourdata.com/, a community website dedicated to everything data governance, the average score for data governance maturity is only 1.6 out of 5. It’s no surprise that data governance was a hot topic at last week’s Informatica World 2015. Over a dozen presentations and panel discussions on data governance were delivered; practitioners across various industries shared their real-world stories on topics ranging from how to kick-start a data governance program, how to build business cases for data governance, frameworks and stewardship management, to the choice of technologies. For me, the key takeaways are:
- Old but still true – To do data governance the right way, you must start small and focus on achieving tangible results. Leverage the small victories to advance to the next phase.
- Be prepared to fail more than once while building a data governance program. But don’t quit, because your data will not.
- One-size doesn’t fit all when it comes to building a data governance framework, which is a challenge for organizations, as there is no magic formula that companies can immediately adopt. Should you build a centralized or federated data governance operation? Well, that really depends on what works within your existing environment.
In fact, when asked “what’s the most challenging area for your data governance effort” in our recent survey conducted at Informatica World 2015, “Identify roles and responsibilities” got the most mentions. Basic principle? – Choose a framework that blends well with your company‘s culture.
- Let’s face it, data governance is not an IT project, nor is it about fixing data problems. It is a business function that calls for people, process and technology working together to obtain the most value from your data. Our seasoned practitioners recommend a systematic approach: Your first priority should be people gathering – identifying the right people with the right skills and most importantly, those who have a passion for data; next is figuring out the process. Things to consider include: What’s the requirement for data quality? What metrics and measurements should be used for examining the data; how to handle exceptions and remediate data issues? How to quickly identify and apply security measures to the various data sets? Third priority is selecting the right technologies to implement and facilitate those processes to transform the data so it can be used to help meet business goals.
- “Engage your business early on” is another important tip from our customers who have achieved early success with their data governance program. A data governance program will not be sustainable without participation from the business. The reason is simple – the business owns the data, they are the consumers of the data and have specific requirements for the data they want to use. IT needs to work collaboratively with business to meet those requirements so the data is fit for use, and provides good value for the business.
- Scalability, flexibility and interoperability should be the key considerations when it comes to selecting data governance technologies. Your technology platform should be able to easily adapt to the new requirements arising from the changes in your data environment. A Big Data project, for example, introduces new data types, increased data speed and volume. Your data management solution should be agile enough to address those new challenges with minimum disruption to your workflow.
Data governance is HOT! The well-attended sessions at Informatica World, as well as some of our previously hosted webinars is testimony of the enthusiasm among our customers, partners, and our own employees on this topic. It’s an exciting time for us at Informatica because we are in a great position to help companies build an effective data governance program. In fact, many of our customers have been relying on our industry-leading data management tools to support their data governance program, and have achieved results in many business areas such as meeting compliance requirements, improving customer centricity and enabling advanced analytics projects. To continue the dialogue and facilitate further learning, I’d like to invite you to an upcoming webinar on May 28, to hear some insightful, pragmatic tips and tricks for building a holistic data governance program from industry expert David Loshin, Principal at Knowledge Integrity, Inc, and Informatica’s own data governance guru Rob Karel.
“Better data is everyone’s job” – well said by Terri Mikol, director of Data Governance at University of Pittsburgh Medical Center. For companies striving to leverage data to deliver business value, everyone within the company should treat data as a strategic asset and take on responsibilities for delivering clean, connected and safe data. Only then can your organization be considered truly “Data Ready”.
There is no shortage of buzzwords that speak to the upside and downside of data. Big Data, Data as an Asset, the Internet of Things, Cloud Computing, One Version of the Truth, Data Breach, Black Hat Hacking, and so on. Clearly we are in the Information Age as described by Alvin Toffler in The Third Wave. But yet, most organizations are not effectively dealing with the risks of a data-driven economy nor are they getting the full benefits of all that data. They are stuck in a fire-fighting mode where each information management opportunity or problem is a one-time event that is man-handled with heroic efforts. There is no repeatability. The organization doesn’t learn from prior lessons and each business unit re-invents similar solutions. IT projects are typically late, over budget, and under delivered. There is a way to break out of this rut. (more…)
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.
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.
Loraine 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.
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…)
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…)
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…)
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…)
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…)
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.