Clarke Patterson

Clarke Patterson
Clarke Patterson is the Senior Director of Data Quality Product Marketing at Informatica. Clarke is responsible for product and technical marketing activities for Data Profiling, Data Quality and Data Governance as part of the overreaching Data Quality business unit at Informatica. Clarke joined Informatica after spending almost nine years in product marketing and product management at IBM. Prior to IBM he held product management positions at both Informix and Red Brick Systems. Clarke brings over 15 years of leadership experience to Informatica having lead teams in product marketing, product management and engineering. He holds a Bachelor of Science degree from the University of Calgary and an MBA from Duke University’s Fuqua School of Business.

Informatica World 2013: What’s Happening in the World of Data Governance?

It’s never been a more exciting to be in the data management industry.  With more and more organizations looking to make the most of their enterprise data, the need to do things better, faster & cheaper is ever increasing.  It should come as no surprise then, that data governance continues to be an important initiative surfacing across industries of all types.  Through data governance, organizations are looking to unleash the true potential of data and leverage it for competitive advantage.

Since this is such an important and relevant topic these days, we have a number of sessions next week at Informatica World designed to help your organization drive success with your data governance initiative, regardless of whether you’re just getting started or are looking to drive improvement in your current program.  Here are just a few of the highlights surrounding data governance next week:

 Holistic Data Governance: A Framework for Competitive Advantage

  • Learn how to make data governance a competitive differentiator that identifies critical business processes, decisions, and interactions and establishes policies, processes, roles, responsibilities, and architectures to support them with trusted, secure data.

Holistic Data Governance: Customer Roundtable

  • Rob Karel, VP of Strategy at Informatica, moderates this panel discussion featuring customers detailing their successful implementations of holistic data governance.

Data Governance in Action at Wells Fargo

  • Learn about the bank’s journey to a successful data governance program, the supporting role Informatica has played, and what lessons other organizations can take away from Wells Fargo’s experiences.

This is just a sample of what’s in store.  In addition to compelling sessions, you’ll also have the opportunity to hear and talk with Informatica executives and several of our customers who can help you on your journey to data governance success.

It’s not too late to register for Informatica World, check out the registration page for full program details.  I hope to see you there next week in Las Vegas!

Posted in Business/IT Collaboration, Customers, Data Governance, Data Quality, Enterprise Data Management, Informatica Events, Master Data Management, Uncategorized | Tagged , , , , | Leave a comment

Data Chaos: Public Enemy Number One

This year marks the 20th anniversary for Informatica. Twenty years of solving the problem of getting data from point A to point B, improving its quality, establishing a single view and managing it over its life-cycle. Yet after 20 years of innovation and leadership in the data integration market, when one would think the problem had been solved, all data had been extracted, transformed, cleansed and managed, it actually hasn’t — companies still need data integration. Why?  Data is complicated business. And with data increasingly becoming central to business survival, organizations are constantly looking for ways to unlock new sources of it, use it as an unforeseen source of insight and do it all with greater agility and at lower cost. (more…)

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Big Data is Your Data – Are You Ready?

What is big data? Simply put, it’s data that is big, it’s your data when it gets big.  And for most of you, that’s already happened or inevitable. Regardless of how you define big data, a more important question is “Are you ready for big data?”.  Without some careful consideration of your data architecture, when faced with big data challenges you may find yourself writing some big checks as you scramble to address the new demands on your business.  Fortunately not all is lost.  As many Informatica customers have already learned, next generation data integration can help arm you to handle big data without  ripping and replacing your existing data integration architecture.  (more…)

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The Inches We Need Are Everywhere

So goes the line in the 1999 Oliver Stone film, Any Given Sunday. In the film, Al Pacino plays Tony D’Amato, a “been there, done that” football coach who, faced with a new set of challenges, has to re-evaluate his tried and true assumptions about everything he had learned through his career. In an attempt to rally his troops, D’Amato delivers a wonderful stump speech challenging them to look for ways to move the ball forward, treating every inch of the field as something sacred and encouraging them to think differently about how to do so.


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2012 Gartner Magic Quadrant for Data Quality Tools – Informatica Positioned as a Leader

It’s that time of year again when Gartner publishes their annual Magic Quadrant for Data Quality Tools  and Informatica has been positioned as a leader. Informatica continues to build off of a strong heritage of success in delivering enterprise data quality solutions  through a continued focus on delivering industry leading data management solutions to address the end-to-end data quality lifecycle. In large part, our progress can be attributed to our product roadmap, specifically our recent release of Informatica Data Quality 9.5, aimed at helping organizations maximize their return on data. Let’s look at a few of the more significant additions for this release:

Data Governance and Stewardship

Data governance as a corporate initiative is certainly here to stay and increasingly, organizations are looking for ways to leverage technology more effectively in support of their governance efforts. In Informatica Data Quality 9.5 we’ve added new capabilities so data stewards can use technology to their advantage. In particular, new workflow and task management capabilities help automate otherwise manual, error prone data reconciliation steps. Armed with such capabilities, data stewards can effectively align the activities of both business and IT in addressing data quality issues without excessive overhead.

All Data

With the rise of social computing platforms, customer analytics has a new wealth of information from which to produce unforeseen insight into customer and product patterns. The challenge, however, is how to make sense of what is otherwise unstructured information.  One solution is natural language processing (NLP) which uses probabilistic analytics initiatives. With NLP available in Informatica Data Quality 9.5 organizations can now make sense of free form text from feeds like Facebook or LinkedIn and use that to sharpen their decision making processes while harnessing the benefits of big data.

Data Discovery

Data discovery, quite simply, is the process of uncovering specific types of data when its meaning is not otherwise known. With new data discovery capabilities now available in Informatica Data Quality 9.5, organizations can easily and effectively identify key pieces of information without the need for manual intervention. This is particularly of value in areas such as data masking, where the identification of sensitive information such as personally identifiable information (PII) is of utmost importance.

These are just a few of the capabilities introduced in Informatica Data Quality 9.5 last month.  As is evidenced in the 2012 Magic Quadrant, we believe the innovation and roadmap for our products is clearly going in the right direction. We’re excited by what lies ahead and have plans to continue to drive new and innovative capabilities for the data quality market.

About the Magic Quadrant

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose

Posted in Business/IT Collaboration, Data Governance, Data Quality, Enterprise Data Management, Informatica 9.5, Pervasive Data Quality, Uncategorized | 4 Comments

Data Quality and Big Data

In the world of big data, getting access to data and making sense of it is often times a more important consideration than managing sheer volume itself.  Companies that are successful in unlocking true value from big data open themselves up to a world of insight for better understanding of things like customer preferences, satisfaction and regional purchasing differences. Doing this obviously is often harder than it seems due to the variety of information itself, leading to standardization and duplication issues.  Ownership is often an issue as well, with departmental lines being the most common constraint to sharing important data across the enterprise. (more…)

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Reading The Tea Leaves: Predictions For Data Quality In 2012

Following up from my previous post on 2011 reflections, it’s now time to take a look at the year ahead and consider what key trends will likely impact the world of data quality as we know it. As I mentioned in my previous post, we saw continued interest in data quality across all industries and I expect that trend to only continue to pick up steam in 2012. Here are three areas in particular that I foresee will rise to the surface: (more…)

Posted in Data Governance, Data Quality, Identity Resolution, Master Data Management, Pervasive Data Quality, Profiling, Scorecarding, Uncategorized, Vertical | Tagged , , , , , , , | 3 Comments

Reflecting On Data Quality In 2011

With just a few days remaining in what has been an eventful year, I thought I’d take some time to reflect on the world of data quality as I’ve observed it over the past twelve months.  While the idea of data quality improvement in general didn’t change much, the way that companies are viewing and approaching it most certainly have.  Here are three areas that seemed to come up quite frequently:

Data governance awareness grew

In thinking about all the customer interactions that I was involved in throughout the year, it’s hard to come up with one where the topic of data governance didn’t surface.  Whereas before, the topic of data governance only seemed to come up for companies with more mature data management organizations, now it seems everyone is looking to build a governance framework in conjunction with their data quality efforts.  Furthermore, while previously the conversation was largely driven by IT, now it’s both IT and business stakeholders that are looking for answers to how data governance can help them drive better business outcomes.  In increasingly competitive market conditions, we can only expect this trend to continue.  Whether it’s focused on increasing revenue, driving out cost or managing risk and compliance, data quality with data governance is where companies of all sizes are turning to create and sustain a differentiated edge.   Trends like big data will only make this need more acute. (more…)

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Data is the Answer, Now What’s the Question? Hint: It’s The Key to Optimizing Enterprise Applications

Data quality improvement isn’t really anything new; it’s been around for some time now.  Fundamentally the goal of cleansing, standardizing and enriching enterprise data through data quality processes remains the same.  What’s different now, however, is that in an increasingly competitive marketplace and in difficult economic times, a complete enterprise data quality management approach can separate the leaders from the laggards.  With a sound approach to enterprise data quality management, organizations reap the benefits of turning enterprise data into a key strategic asset. This helps to increase revenue, eliminate costs and reduce risks.  Using the right solution, organizations can leverage data in a way never possible before, holistically and proactively, by addressing data quality issues when and where they arise.  Doing so ensures key IT initiatives, like business intelligence, master data management, and enterprise applications, deliver on their promises of better business results. (more…)

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Is There Such A Thing As A Data Governance Crystal Ball?

Imagine you have a crystal ball. With it, you can look into the future and see where your business will be next year, whether or not that key project will be a success or failure. You could take corrective actions today that would help ensure that success. Life would be great.

Unfortunately, we don’t have a crystal ball so we have to embark on projects not knowing with any degree of certainty whether they will succeed or fail. Fortunately, we can increase our chances of success by conducting some due diligence which helps uncover otherwise unforeseen twists in the road. All too often, however, the due diligence step is left out and projects more often than not fail. (more…)

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