By Robert M Clark
Robert M. Clark explains collaborative, target-centric technique makes it possible for better research, whereas greater assembly shopper wishes.
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Extra resources for Intelligence Analysis: A Target-Centric Approach
Example text
In practice, intelligence officers might jump from analysis back to collection, then to requirements, to collection again, then back to analysis, in what seems a very untidy process and which in no way resembles a cycle. Despite its irrelevance to the real world of intelligence, the concept of an intelligence cycle persists. S. S. director of national intelligence, and noted British author Michael Herman, have questioned its relevance. Both McConnell4 and Herman5 noted that the so-called cycle is actually a collection of feedback loops.
S. and Colombian intelligence officers that had endured for more than a year. S. S. governments, each with different intelligence needs. The information sources included COMINT focused on Escobar’s cell phones and those of his associates, HUMINT from Escobar’s associates, and financial information from other sources. The operations team focused on finding Escobar; the intelligence analysts who supported them had a more extensive target that included Escobar’s family, his business associates, his bankers, and his agents in the Colombian government.
The traditional conception of the intelligence cycle also prevails because it fits a conventional paradigm for problem solving. It flows logically from the precept that the best way to work on an intelligence problem is to follow a sequential, orderly, and linear process, working from the question (the problem) to the answer (the solution). One begins by understanding the question; the next step is to gather and analyze data. Analysis techniques are then applied to answer the question. This pattern of thinking is taught in the simplest problem-solving texts, and we use it almost instinctively.