Blogs

Richard Lee
Managing Partner, IMECS, LLC

Richard Lee is the managing partner of IMECS, LLC, an executive consulting firm that works with senior executive teams in the domains of business transformation, governance, risk & compliance, advanced analytics and business informatics. Prior to this role, Richard was the data governance officer at the Insurance Corporation of British Columbia (ICBC) and director of their Enterprise Information Transformation Program. Over his career he has worked with clients around the world and within multiple industry segments (insurance, financial services, utilities & energy, technology, telecommunications, pharma & healthcare and more). Richard is an IBM Champion for information management and an active blogger, specifically on the subjects of information governance and advanced analytics.

Read more on Richard's blog and Information Age magazine

Is privacy dead?

December 31, 2014 | by Richard Lee, Managing Partner, IMECS, LLC
It has been a year of startling privacy revelations, including extreme outrage in response to data breaches and government snooping, which all point to the same question: “is privacy is already dead?”

Discrimination drives the need for ethics in big data

October 13, 2014 | by Richard Lee, Managing Partner, IMECS, LLC
Big data and analytics are profoundly affecting the world around us. One of the focal points of my postings has been how big data and analytics affects, specifically, our personal privacy. An old and perhaps far too familiar twist on this has risen to the forefront of discussion and that is the...

Privacy and the Internet of Things

September 22, 2014 | by Richard Lee, Managing Partner, IMECS, LLC
Few people really understand what the Internet of Things really is, much less the privacy implications attached. 

Privacy and social experimentation

August 15, 2014 | by Richard Lee, Managing Partner, IMECS, LLC
“When people use a service for free, they are de facto lab rats for market researchers.” This is one of the responses to the Facebook social experimentation revelations that makes more sense than much of the hyperbolic ones that are saturating all forms of media at the moment.

Data brokers: Just how much should they know about you?

July 2, 2014 | by Richard Lee, Managing Partner, IMECS, LLC
Consider this quote from the recent “Improving Government Performance in the Era of Big Data: Opportunities and Challenges for Federal Agencies Workshop” at Georgetown University: “The seduction of big data is that it allows you to do things that you could not do in the past.” The question is,...

Privacy, big data and analytics: A perfect storm

June 6, 2014 | by Richard Lee, Managing Partner, IMECS, LLC
A delicate balance of appropriate uses, relevant policies and consumer awareness is needed to achieve an effective privacy strategy for use by the big data and analytics community.

Privacy engineering in the era of big data and advanced analytics

May 12, 2014 | by Richard Lee, Managing Partner, IMECS, LLC
With the growth of big data and analytics comes additional responsibilities to ensure privacy. Privacy engineering are the tools, use case scenarios and measures to insure that privacy has been designed into your solutions and operational practices. 

Privacy Corner, April 2014: The role of trust as it applies to privacy

April 4, 2014 | by Richard Lee, Managing Partner, IMECS, LLC
Trust relies on many factors with privacy being the most critical.

IBV 2013 Analytics Study

November 4, 2013 | by Richard Lee, Managing Partner, IMECS, LLC
This week, IBM’s Institute for Business Value (IBV) released its 2013 Study entitled “Analytics: A blueprint for value.”Stylized as an Executive Report, it is really a manifesto on the challenges that face every analytics-driven organization in their quest for success (and tangible value). The...

Confidence in Big Data

September 20, 2013 | by Richard Lee, Managing Partner, IMECS, LLC
Confidence (aka Veracity) in Big Data is one of the central themes that has emerged recently in the Information Governance community. It is based on the growing awareness that when using Big Data there may not be the Confidence in its quality, lineage or accuracy that exists with more conventional...