Category Archives: Intelligence Analysis Techniques
The other day I had a conversation with someone who was facing an issue that most of us have faced; not knowing the exact time when an event occurred but knowing the time range when it happened. Example: a business was burgled after the shop closed at 7p and before it opened at 9a.
We were talking about how to handle this type of situation, how can it be included in the analysis even though we do not have an exact time of occurrence? I was searching for different methods when I came across an article and paper written by Jerry Ratcliffe back in 2002 on aoristic crime analysis.
It is an interesting way of looking at the temporal nature of events, the article defines three ways of searching when time is a factor:
Rigid – search to determine whether an the event occurred within in a defined time range. This method will only select events that happened between the start and end time point.
Average – search to determine if the average time calculated by the possible start time and end time of the event occurred in the defined time range. The average will take the midpoint of the time range and determine if it falls within the time range.
Aoristic – this type of search looks to determine if the event might have occurred within the search time range.
I can see this as being another good tool in the toolbox when time is one of the variables. Now I just need to figure out how to write that as a query in my GIS application…
Source Information: Ratcliffe, J.H. (2002) Aoristic signatures and the spatio-temporal analysis of high volume crime patterns. Journal of Quantitive Criminology, 2002, Volume 18 Issue 1: 23-43
We’ve talked before about how the analytic techniques and critical thinking that serve as the foundation of intelligence analysis are the same used by many of us in our daily tasks and across a range of professions. In particular, I am always struck by the similarities between intelligence analysis and investing.
Investing uses standard analytic techniques and critical thinking to calculate risks, organize and analyze imperfect data, and identify alternative hypotheses, information gaps, and contrary evidence. Those who invest must be forward thinking and predictive of future events when considering information and circumstances within and outside of their control. While the goal is to make money, the process is similar to an analyst analyzing emerging trends and threats or the evolution in intent and capability of a group or country.
Consider the recent announcement by Hewlett Packard that the company is planning to spin off its personal computer business unit. The stock was hammered on Friday after downgrades and doubts about its future strategy followed. Without a clear vision forward, some investors may decide to avoid investing in HPQ altogether. Others may see an opportunity to consider whether investing in this down-but-maybe-not-out company presents a potentially lucrative upside.
An investor could use an intelligence analyst’s toolbox to calculate the risk and opportunity of an investment in HPQ, crunch numbers, gather data, analyze imperfect information, and develop an analytic product of where HPQ may be in a set time frame. Could the company survive without a third of its profits from a unit that had a low operating margin? How should the statements and outlook of the company’s leaders be interpreted? Is this an oversell, or is the company heading for more trouble and the selling is justified and likely to continue?
I read a book recently that said the best traders on Wall Street only make money on fifty-three percent of their trades. It’s in their analytic techniques and risk calculation that they maximize their chances for success and, perhaps more importantly, minimize their losses. They push themselves to think smarter and act on information that indicates a favorable risk-reward. News and global events that affect the market will come and go, but tried and tested analytic techniques and critical thinking methods are constants. Intelligence analysts take note.