Michele Goetz

Principal Analyst

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Why Every Data Architect Should Be An Analyst First

Michele Goetz April 6, 2014
“Context” is the new buzz-word for data.  Jeffery Hammond talks about it in Systems Of Automation Will Enrich Customer Engagement, Robert Scoble and Shel Israel talk about it in their book “Age of Context”, and you can’t ignore it when it comes to a discussion for Cognitive Computing and the Internet of Things.  We’ve live […]
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Data Governance: Did We Make The Right Choices?

Michele Goetz March 6, 2014
Coming back from the SAS Industry Analyst Event left me with one big question – Are we taking into account the recommendations or insights provided through analysis and see if they actually produced positive or negative results? It's a big question for data governance that I'm not hearing discussed around the table.  We often emphsize […]
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Top 4 Things to Keep In Mind When Evaluating MDM Vendors

Michele Goetz February 5, 2014
The Forrester Wave for Multi-Platform MDM is out! The last Forrester Wave for MDM was released in 2008 and focused on the Customer Hub.  Well, things have certainly changed since then.  Organizations need enterprise scale to break down data silos.  Data Governance is quickly becoming part of an organization's operating model.  And, don't forget, the […]
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Artificial Intelligence – What You Really Need to Know

Michele Goetz January 28, 2014
It looks like the beginning of a new technology hype for artificial intelligence (AI). The media has started flooding the news with product announcements, acquisitions, and investments. The story is how AI is capturing the attention of tech firm and investor giants such as Google, Microsoft, IBM. Add to that the release of the movie […]
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The Seven Deadly Sins of Data Management Investment and Planning

Michele Goetz January 15, 2014
When it comes to data investment, data management is still asking the wrong questions and positioning the wrong value.  The mantra of – It's About the Business – is still a hard lesson to learn.  It translates into what I see as the 7 Deadly Sins of Data Management.  Here are the are – not […]
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Can Machines Be Our Friend? IBM Watson Thinks So.

Michele Goetz January 10, 2014
IBM launched on January 9, 2014 its first business unit in 19 years to bring Watson, the machine that beat two Jeopardy champions in 2011, to the rest of us. IBM posits that Watson is the start of a third era in computing that started with manual tabulation, progressed to programmable, and now has become […]
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Big Data Governance Protect And Serve Are Equals

Michele Goetz September 10, 2013
I had the opportunity to speak and participate in a panel on data governance as it pertained to big data. My presentation was based on recently completed research sponsored by IBM to understand, what does data governance look like by firms embarking/executing on big data? The overarching theme was that data governance is about protect […]
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Data Quality And Data Science Are Not Polar Opposites

Michele Goetz August 6, 2013
Big data gurus have said that data quality isn’t important for big data. Good enough is good enough. However, business stakeholders still complain about poor data quality. In fact, when Forrester surveyed customer intelligence professionals, the ability to integrate data and manage data quality are the top two factors holding customer intelligence back. So, do […]
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Data Quality Blooms With Crowdflower

Michele Goetz July 31, 2013
Sometimes getting the data quality right is just hard, if not impossible. Even after implementing data quality tools, acquiring third-party data feeds, and implementing data steward remediation processes, often the business is still not satisfied with the quality of the data. Data is still missing and considered old or irrelevant. For example: Insurance companies want […]
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Data Science And “Closed-Loop” Analytics Changes Master Data Strategy

Michele Goetz July 26, 2013
I had a conversation recently with Brian Lent, founder, chairman, and CTO of Medio. If you don’t know Brian, he has worked with companies such as Google and Amazon to build and hone their algorithms and is currently taking predictive analytics to mobile engagement. The perspective he brings as a data scientist not only has […]
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Make Story-Telling The Goal Of Customer MDM

Michele Goetz July 10, 2013
It is easy to get caught up in the source and target paradigm when implementing master data management. The logical model looms large to identify where master data resides for linkage and makes the project — well — logical. If this is the first step in your customer MDM endeavor and creating a master data […]
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Cross-fit Data Program

Michele Goetz July 2, 2013
I’ve been presenting research on big data and data governance for the past several months where I show a slide of a businesswoman doing a backbend to access data in her laptop. The point I make is that data management has to be hyper-flexible to meet a wider range of analytic and consumption demands than […]
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MDM Is About Golden Profiles

Michele Goetz April 29, 2013
There is a shift underway with master data management (MDM) that can't be ignored. It is no longer good enough to master domains in a silo and think of MDM as an integration tool. First-generation implementations have provided success to companies seeking to manage duplication, establishing a master definition, and consolidating data into a data […]
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Big Data: The Big Divide Between IT and Business

Michele Goetz April 22, 2013
  I met with a group of clients recently on the evolution of data management and big data.  One retailer asked, “Are you seeing the business going to external sources to do Big Data?” My first reaction was, “NO!” Yet, as I thought about it more and went back to my own roots as an […]
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Without Data Management Standards – Anarchy!

Michele Goetz April 2, 2013
  When I posted a blog on Don’t Establish Data Management Standards (it was also on Information Management's website as Data Management Standards are a Barrier) I expected some resistance.  I mean, why post a blog and not have the courage to be provocative, right?  However, I have to say I was surprised at the […]
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Avoiding Big Data Sand Traps

Michele Goetz March 26, 2013
Data management history has shown, it is not what you buy; it is how you are able to use it that makes a difference. According to survey results from the Q4 2012 Forrsights BI/Big Data Survey, this is a story that is again ringing true as big data changes the data management landscape.  Overall . […]
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Don’t Establish Data Management Standards

Michele Goetz March 5, 2013
A recent survey of Enterprise Architects showed a lack of standards for data management.* Best practices has always been about the creation of standards for IT, which would lead us to think that lack of standards for data management is a gap. Not so fast. Standards can help control cost. Standards can help reduce complexity. […]
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Don’t Establish Data Management Standards

Michele Goetz March 5, 2013
A recent survey of Enterprise Architects showed a lack of standards for data management.* Best practices has always been about the creation of standards for IT, which would lead us to think that lack of standards for data management is a gap. Not so fast. Standards can help control cost. Standards can help reduce complexity. […]
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What Master Data Management Metrics Matter?

Michele Goetz February 21, 2013
I recently had a client ask about MDM measurement for their customer master.  In many cases, the discussions I have about measurement is how to show that MDM has "solved world hunger" for the organization.  In fact, a lot of the research and content out there focused on just that.  Great to create a business […]
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The Great Divide: MDM and Data Quality Solution Selection

Michele Goetz February 8, 2013
I just came back from a Product Information Management (PIM) event this week had had a lot of discussions about how to evaluate vendors and their solutions.  I also get a lot of inquiries on vendor selection and while a lot of the questions center around the functionality itself, how to evaluate is also a […]
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