master data management

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The Insights Beat: Get Smarter About Your Competitors, Customers, And Company

Srividya Sridharan April 4, 2019
Insights come in many flavors. Customer insights. Consumer insights. Competitor insights. Market insights. Company insights. Operational insights. Process insights. Sales insights. Marketing insights . . . you get the drift. All types of enterprise data (big, medium, small, and petite), as well as external data, fuel these insights and make you smarter about how you […]
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Is There A Single-Source Provider For Data Management? Not Yet

Michele Goetz April 2, 2019
Architects can, and do, choose a primary cloud service provider and/or Hadoop system to house their data. Moving, transforming, cataloging, and governing data is a different story, so architects come to me after throwing up their arms searching for solutions to tame the information fabric, thinking they must be missing something: “Isn’t there a single […]
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The Insights Beat: Quash The Groundhog Day Effect In Your Insights Journey

Srividya Sridharan February 7, 2019
It’s early February. Punxsutawney Phil predicted an early spring this year, and there is hope (and warmth) in the air.[i] But it’s not always rosy for you as a data, analytics, and insights leader. You tirelessly toil to get value from your enterprise data and try to apply those insights at scale to impact business […]
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The Forrester Wave Master Data Management: Which MDM Tool Is Right For You?

Michele Goetz March 16, 2016
The Forrester Wave for Master Data Management went live today. The results may surprise you. MDM tools today don’t look like your father’s MDM. No longer an integration hub between applications and DBMSs, today’s tools are transitioning or have reinvented MDM to handle the context missing from system traditional implementations. Visualizations, graph repositories, big data […]
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Semantic Technology Is Not Only For Data Geeks

Michele Goetz October 30, 2015
You can't bring up semantics without someone inserting an apology for the geekiness of the discussion. If you're a data person like me, geek away! But for everyone else, it's a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world. It […]
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3 Ways Data Preparation Tools Help You Get Ahead Of Big Data

Michele Goetz February 17, 2015
The business has an insatiable appetite for data and insights.  Even in the age of big data, the number one issue of business stakeholders and analysts is getting access to the data.  If access is achieved, the next step is “wrangling” the data into a usable data set for analysis.  The term “wrangling” itself creates […]
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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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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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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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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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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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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 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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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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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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Master Data Management Does Not Equal The Single Source Of Truth

Michele Goetz October 26, 2012
The number one reason I hear from IT organizations for why they want to embark on MDM is for consolidation or integration of systems. Then, the first question I get, how do they get buy-in from the business to pay for it? My first reaction is to cringe because the implication is that MDM is […]
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Data Quality Reboot Series For Big Data: Part 1 Master Data

Michele Goetz August 22, 2012
What data do you trust? Increasingly, business stakeholders and data scientists trust the information hidden in the bowels of big data. Yet, how data is mined mostly circumvents existing data governance and data architecture due to speed of insight required and support data discovery over repeatable reporting. The key to this challenge is a data […]
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