About Forrester
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Connie is a member of Forrester's Business Technology Futures team, which serves CIOs and their business partners by predicting the long-term business impact of information technology. Her research focus is on smart computing and analytics.
Connie came to Forrester through its acquisition of Giga Information Group in 2003. She has more than 25 years of experience in the IT industry and has been an analyst for 19 years. Most of her research focuses on business process management and business optimization. Prior to joining Giga, Connie managed BIS Strategic Decisions' European IT consulting group, headquartered in the UK. Before then, Connie was vice president of product marketing at TDC (now part of BancTec), a manufacturer of high-end document capture systems. She was also a manager with Andersen Consulting (now Accenture), specializing in document management, document imaging, and end user computing. Earlier, Connie was with Wang Laboratories, where she managed Wang's technical support resources for the US Department of Defense and intelligence agencies. She began her career in IT and management at Mathematica Policy Research.
Connie was the co-champion of Forrester's 2009 Business Technology Forum, with its theme of "Lean: The New Business Technology Imperative." Connie also co-championed Forrester's 2007 Technology Leadership Forum, with the theme of "Design for People, Build for Change," and Forrester's 2008 Technology Leadership Forum, themed as "Embrace Technology Chaos, Deliver Business Results." Connie is a widely sought speaker. She has keynoted at many industry events, chaired 10 business process and workflow conferences in Europe and the US, and co-chaired Giga's "Leveraging Knowledge" conference. Connie also served as a director of AIIM International, the premier association for the content management industry, and is a member of the Association of Business Process Management Professionals.
Connie attended the University of North Carolina at Chapel Hill and holds a B.A. in political science and history from East Carolina University and an M.B.A. in information systems from George Washington University.
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....
Security and privacy have always been at the core of data governance. Typically, company policies, processes, and procedures have been designed to comply with these regulations to avoid fines...
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...

As the new analyst on the block at Forrester, the first question everyone is asking is, “What research do you have planned?” Just to show that I’m up for the task, rather than...
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...
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...
Let’s face it: managing data is not an easy task. The business certainly wishes, and may even think, that this is the case. So, we cut corners on fulfilling data requirements to meet short-term...
The number one question I get from clients regarding their data strategy and data governance is, “How do I create a business case?” This question is the kiss of death and here is...
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...
When you last pulled up a chair to this blog we talked about data quality persistence and disposability for big data. The other side of the coin is, should you even do big data quality at all? So,...
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...
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...
Tools And Technology: The Data Management Playbook
Today's enterprise data architecture is changing to accommodate models and definitions that are frequently abstracted from data sources, federated sources, and data analytics performed during the...
Assessment: The Data Management Playbook
Enterprise architects who drive data management strategy must contend with new data source platforms and complex consumption and analysis scenarios. Current data management systems were built as...

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...
A Critical Component For Data Agility
The increasingly complex task of managing data requires new master data management (MDM) capabilities. While the first MDM implementations focused on a single domain — such as customer data...

Joining in on the spirit of all the 2013 predictions, it seems that we shouldn't leave data quality out of the mix. Data quality may not be as sexy as big data has been this past year....

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...
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...
Processes: The Data Management Playbook
Forrester clients describe their data governance work as long on effort, but limited in success. Clients describe an inability to sustain data governance beyond a project, feel it is too...

There was lots of feedback on the last blog (“Risk Data, Risky Business?”) that clearly indicates the divide between definitions in trust and quality. It is a great jumping off point for...

We last spoke about how to reboot our thinking on master data to provide a more flexible and useful structure when working with big data. In the structured data world, having a model to work from...