About Forrester
Forrester Research, Inc. is an independent research company that provides pragmatic and forward-thinking advice to global leaders in business and technology.

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.
How Customer Intelligence Can Unify Audience Intelligence Across Channels To Enable Advanced Advertising
Marketers constantly seek ways to design addressable marketing programs that reduce media waste and create targeting efficiencies: Direct marketers turn to marketing databases to inform audience...

Vision: The Customer Analytics Playbook
With the growing importance of customer intelligence (CI) in organizations, the role of analytics to extract insight and embed it back into organizational processes is at the forefront of business...

Forrester posits a customer intelligence (CI) quotient with three levels of maturity: functional intelligence, marketing intelligence, and strategic intelligence. At the highest maturity level, the...

The real-time buzzword is back. Marketers, vendors, and service providers use this term in a variety of scenarios to describe technologies, analytics, customer service, and processes. The hype around...
Analytics and creativity are seldom used in the same sentence. The natural instinct is to delineate the two as left-brain and right-brain pursuits. Analytics and creative teams speak different...
Rarely do moments like this occur. Last week, while watching the evening news (yes, I still watch news), I was horrified by the continued coverage of the cruise ship disaster in Italy. But, while...
I’m excited to announce that our new research on how firms use customer analytics was just published today. The new research reveals some interesting findings: Customer analytics serves...
Organization: The Customer Analytics Playbook
A mature customer intelligence (CI) function needs optimized data processes, cutting-edge technologies, and the right analytics talent. Analysts add value to CI with their data-mining and...

Three Approaches For CI Professionals To Deliver Value
Few customer segmentation models deliver on their promise. Some drive organizational strategy and profitability, while others live as glossy reports on the CMO's shelf. Segmentation that merely...
Companies adopt advanced analytics tools and techniques to convert data into intelligence and drive key customer-facing business decisions. We see that customer intelligence (CI) professionals...
Customer Intelligence (CI) professionals invest in data-mining, predictive analytics and modeling tools and technologies to make sense of the deluge of data. In the past, they've had to adapt...
Why Customer Intelligence Pros Must Collaborate With Interactive Marketers
The emergence of data management platforms (DMPs) as a technology that serves the audience segmentation and targeting needs of interactive marketers has wide implications for Customer Intelligence...
Benchmarks: The Customer Analytics Playbook
The customer data explosion shows no signs of abating. Companies need strong customer analytics capabilities to get a handle on customer data and make meaningful decisions based on analytical...

Analytically Driven Personalization Increases Retention And Return
Companies personalize products, offers, content, and communications for a variety of reasons — to treat customers uniquely, to make them feel special, and to encourage them to spend more. Firms...
A Decision-Making Framework For Lifetime Value Analysis
Customer lifetime value (CLV), a forward-looking indicator of customer profitability, became common parlance as relationship marketing gained momentum. However, calculating CLV remains a significant...

The deluge of customer data shows no signs of abating. The perpetually-connected customer leaves data footprints in every interaction with a brand. This presents tremendous opportunities for...
Processes: The Customer Analytics Playbook
Marketers continue to emphasize acquisition and are willing to take the risk of acquiring customers with low long-term profitability. While retention efforts typically enjoy the spotlight in an...
In the future, consumers will manage their data through a concept that Forrester calls personal identity management (PIDM). Customers' control over their data affects the analytics performed on that...
Any big data or analytics conversation would be remiss without the mention of "data scientists." Much has been written about data scientists– who they are, who they should be, and...
Tools And Technology: The Customer Analytics Playbook
With the increased focus on data-driven marketing, few firms have the budgets, technology capabilities, or analytical skills to advance their analytics agendas internally, and they frequently turn to...
Does your firm use customer analytics to optimize relationship marketing efforts? Does your firm use analytical techniques to understand and predict customer behavior? If so, we want to hear...
Relationship marketers love customer lifetime value (CLV) as a concept because it puts the customer at the core of the marketing investment decision and sneaks a peek into the future worth of the...
I was intrigued by the recent announcement that MasterCard and Brighter Planet were teaming up to mine carbon emission data based on corporate cardholder data. This announcement got me thinking about...
Customer segmentation has featured in the marketing tool kit for a long time as a means to understand customers and develop targeted communications. Customer Intelligence (CI) professionals use...

How Six Vendors Stack Up In A Mature Yet Changing Market
In Forrester's 70-criteria evaluation of customer analytics vendors, we identified the six most significant software providers — Angoss Software, FICO, IBM, KXEN, Pitney Bowes, and SAS —...
