Michele Goetz

Principal Analyst

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The Theory of Data Trust Relativity

Michele Goetz December 16, 2014

Since the dawn of big data data quality and data governance professionals are yelling on rooftops about the impact of dirty data.  Data scientists are equally yelling back that good enough data is the new reality.  Data trust at has turned relative. Consider these data points from recent Forrester Business Technographics Survey on Data and […]

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When CRM Fails On Customer Information

Michele Goetz November 26, 2014

Early this year a host of inquires were coming in about data quality challenges in CRM systems.  This led to a number of joint inquires between myself and CRM expert Kate Legget, VP and Principal Analyst in our application development and delivery team.  Seems that the expectations that CRM systems could provide a single trusted […]

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Data Before Technology: IBM Watson's Vision

Michele Goetz November 2, 2014

I sat down with Steve Cowley, General Manager for IBM Watson, on Tuesday at IBM Insights to talk about Watson successes, challenges since the January launch, and what is in store.  While the potential has always intrigued me, the initial use cases and message gave me more than a bit of pause: the daunting task […]

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Creating the Data Governance Killer App

Michele Goetz October 15, 2014

One of the biggest stumbling blocks is getting business resources to govern data.  We've all heard it: "I don't have time for this." "Do you really need a full time person?" "That really isn't my job." "Isn't that an IT thing?" "Can we just get a tool or hire a service company to fix the […]

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Disruption Coming For MDM - The Hub of Context

Michele Goetz October 8, 2014

Spending time at the MDM/DG Summit in NYC this week demonstrated the wide spectrum of MDM implementations and stories out in the market.  It certainly coincides with our upcoming MDM inquriry analysis where: Big data is influencing MDM strategies and plans Moving from MDM silos to enterprise MDM hubs Linking MDM to business outcomes and […]

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Quality, Trusted, Fit for Purpose Data?

Michele Goetz September 9, 2014

Often lagging in priorities when it comes to data strategy, it appears that data quality is coming back in favor. As organizations expand beyond data exploration and discovery to putting real action in place organization wide based on these insights, the risk of getting the answer wrong or having dirty data is higher.   But, […]

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Cognitive Computing Forum: 7 Things You Need To Know

Michele Goetz August 21, 2014

Day one of the first Cognitive Computing Forum in San Jose, hosted by Dataversity, gave a great perspective on the state of cognitive computing; promising, but early.  I am here this week with my research director Leslie Owens and analyst colleague Diego LoGudice.  Gathering research for a series of reports for our cognitive engagement coverage, […]

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Are Data Governance Tools Ready for Data Governance?

Michele Goetz June 25, 2014

An IT mindset has dominated the way organizations view and manage their data.  Even as issues of quality and consistency raise their ugly head, the solution has often been to turn to the tool and approach data governance in a project oriented manner.  Sustainability has been a challenge, relegated often to IT managing and updating […]

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Can You Afford To Ignore The Artificial Intelligence Wave?

Michele Goetz June 12, 2014

Recent news of a a computer program that passed the Turing Test is a great achievement for artificial intelligence (AI).  Pulling down the barrier between human and machine has been a decades long holy grail pursuit.  Right now, it is a novelty.  In the near future, the implications are immense. Which brings us to why […]

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PIM: MDM on Business Terms

Michele Goetz June 6, 2014

Along with Peter Sheldon in our eBusiness and Channel Strategy role, we just released the Forrester's Wave on Product Information Management.  I'm really exited about this report for two reasons: Clients now have a report that helps them make more informed choices about selecting a PIM solutions.  PIM is not always a well understood  master […]

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MDM: Highly recommended, still misunderstood

Michele Goetz June 3, 2014

Master data management is a hot topic.  And, this is at times surprising to me because the noise of big data is deafening.  Big data is certainly sexier.  MDM is like mom nagging to clean up the room – necessary, but a total buzz kill. Here is some of the anecdotal evidence that is raising […]

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Artificial Intelligence Needs More Than A Name, It Needs Personality

Michele Goetz May 21, 2014

IBM's acquisition of Cognea, a startup that creates virtual assistants of multiple personalities, further reinforces that voice is not enough for artificial intelligence.  You need personality. I for one cheer IBM's investment, because to be honest, IBM Watson's Jeopardy voice was a bit creepy.  What has made Apple's Siri intriguing and personable, even if not […]

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Welcome To The Future Of Data Management

Michele Goetz May 9, 2014

 The demand for data has never been greater.  The expectations are even grander.  On the other hand, what the business wants has never been more ambiguous.   Welcome to the future of data management.   According to recent Forrester research, most of us are ill prepared. The business is placing the ownership on data professionals […]

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Big Data Quality: Certify or Govern?

Michele Goetz April 17, 2014

We've been having an intersting conversation with clients and internally about the baggage associated with Data Governance.  As much as we (the data people) try, the business thinks it is a necessary, but the commitment, participation, and application of it is considered a burden worth avoiding.  They wonder, "Is this really helping me?"  Even CIOs […]

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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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