Tag Archives: competitive intelligence

Constructing Cassandra Now Available

Our new book on strategic surprise, Constructing Cassandra:  Reframing Intelligence Failure at the CIA, 1947-2001, is now available for pre-order worldwide.


Interested readers in North America can read reviews and order it via  Amazon.com or Barnes&Nobel;  in the UK you can use Amazon.co.uk; in the rest of the EU, you may wish to use Amazon.fr or Amazon.de; and in Asia you may wish to use  Amazon.jp.

If you do order it thank you.  Naturally, if you have any questions about the book, please ask us.

Meet us next week at SCIP in Orlando to talk about intelligence failure

We will be presenting our upcoming book, “Constructing Cassandra: Reframing intelligence failure at the CIA, 1947-2001” at the 28th Annual Strategic and Competitive Intelligence Professionals (SCIP) International Conference & Exhibition in Orlando (FL), USA. The conference runs from May 6th to 9th.

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Is Your Company Heading For a Cuban Missile Crisis? Steps to Make Sure Big Data is Working For You, Not Against You

Big data evidence hiding in plain sight

The rise of big data – the ability to gather massive amounts of information about both environment and operations – rests on the assumption that having more data gives organizations better control and the ability to avoid nasty surprises. It doesn’t. To understand why, consider the Cuba missile crisis that started exactly 50 years ago today.

Read more on our latest Forbes piece here.

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Competitive intelligence and strategic surprises: Why monitoring weak signals is not the right approach

The difficulty of anticipating strategic surprises is often ascribed to a ‘signal-to-noise’ problem, i.e. to the inability to pick up so-called ‘weak signals’ that foretell such surprises.  In fact, monitoring of weak signals has become a staple of competitive intelligence.  This is all the more so since the development of information technology that allows the accumulation and quasi-automatic processing of massive amount of data.  The idea is that the identification of weak signals will enable an organization to detect a problem (or an opportunity) early and, hence, to react more quickly and more appropriately.  For instance, a firm can detect a change in attitude of consumer behavior by spending time with the most advanced of them, as Nokia did in the early 1990s, a move that enabled the firm to realize that the mobile phone was becoming a fashion item.

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