Harnessing Analytical Insights and Illuminating the Physical Realm of Dark Data – An Interview with Markus Lindelow of Iron Mountain

Eighth in a series of in-depth interviews with innovators and leaders in the fields of Risk, Compliance and Information Governance across the globe.


Markus Lindelow leads the IG and Content Classification Practice Group at Iron Mountain, the world’s largest information management company, where he’s been pioneering breakthrough analytic techniques for over a decade. He holds a Master of Science degree in Computer Information Systems from Saint Edwards University and consults across a broad set of industries. I interviewed him in November to discuss his thoughts on the evolution of metadata, content classification, AI, and how organizations are using the new pillars of data science to break down their silos, help customers get lean and discover the hidden value in their big data sets.

Markus, you work with all kinds of companies to help them better understand and address the often incomplete metadata tied to some of their most valuable information assets in the form of historical paper records and materials retained over decades. In many cases, institutional memory has been completely lost and they’re struggling to figure out whether to dispose of these business records, balancing costs of over retention with risks of untimely destruction. How does your team leverage diagnostic, predictive and prescriptive analytics to make sense of what little data they might have to make informed decisions?

Our content classification process focuses on making the best use of the available metadata. This means classifying records with meaningful metadata as well as analyzing the classified inventory in order to create classification rules for records with little or no metadata. We have identified a number of attributes within the data that tend to correlate with classification conclusions. We assess the classified records associated with an attribute to create a profile that may inform a rule to classify the unclassified records sharing that same attribute…

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Book Review: Infonomics – How to Monetize, Manage, and Measure Information As An Asset For Competitive Advantage by Douglas B. Laney

Are CFO’s finally ready to heed the advice of their Chief Data Officers and begin adding information assets to the balance sheet?

Although the commonly used quote “There is nothing more powerful than an idea whose time has come.” is regularly and erroneously misattributed to Victor Hugo, originating from his account of the French coup d’état of 1851 that brought Napoleon III to power, I feel it’s almost appropriate for Douglas B. Laney’s passionate argument on Infonomics. It’s an idea he’s been meticulously developing and arguing for almost two decades and has at last fully articulated in his latest book published by Taylor & Francis entitled Infonomics: How to Monetize, Manage, and Measure Information As An Asset For Competitive Advantage. Laney previously published his thoughts on Infonomics in Forbes back in 2012.

This brilliantly researched book, supported by industry giant Gartner, is steeped in both a mastery of information technology as well as economics, in particular accounting methodology and complementing business disciplines that range from supply chain economics to compliance frameworks.

Laney, with brevity and unfailing pragmatism, weaves his impressive understanding of the business of information, it’s flow and it’s enormous potential into a convincing pleading that I believe is a must read for not just the aspiring digerati, but any CFO, Chief Data Officer or executive hoping to survive and thrive in the Information Age.

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