Before revealing one (however, widely known) secret about maximizing the effectiveness of intelligence, it is necessary to take a closer look at those who actually do or will do commercial intelligence in a company?
It is about the basic skills and knowledge that your future employees
and specialists should have. You will have to create and organize the work of
an almost complete intelligence unit. Moreover, your team will eventually
master the knowledge of the intelligence specialty, except for those methods and
techniques that are not used in commercial intelligence, based on its
specifics.
From our practical guide, you already know that reasonable care and
caution should be exercised when selecting a commercial intelligence team. (The
principles of selecting and building an exploration team are covered in Part Two of our guide.)
Let's focus, however, on basic knowledge and skills! From the very beginning, it is very important to find a person who not only meets certain social criteria, but who also possesses the necessary knowledge, skills and practices at a basic level.
In reconnaissance ALWAYS and
in ALL cases, the team is selected for specific reconnaissance tasks. It is in
this order: first the TASK, then the selection of a person to SOLVE it.
What's it important to
know?
Do not confuse the field of “Risk Management” and the field of “Crisis
Management” these two fields are practically unrelated and deal with completely
different things.
The field of “Risk Management”
implies knowledge and mastery:
·
Probability
theory;
·
Fundamental
knowledge of decision science;
·
Neuroscience;
·
Math analysis;
·
Differential
equations (what do you know about the Fokker-Planck-Kolmogorov equation?);
·
Financial math;
·
Stochastic
processes;
·
Working with
statistical information.
With this body of knowledge, “risk managers” are able, using:
in mathematics, the methods of Statistics:
·
Descriptive
statistics;
·
Probability
Theory;
·
Hypothesis
testing;
·
Regression
analysis.
in mathematics, the methods of Linear Algebra:
·
Vectors;
·
The Matrices;
·
The eigenvalues
and eigenvectors.
Calculus methods in mathematics
·
Derivatives;
·
Integrals;
·
Optimization
methods.
in mathematics, the methods of Discrete Mathematics:
·
Combinatorics;
·
Graph theory;
·
Logic.
And also using knowledge of the field:
Data Analysis:
·
Data Cleanup;
·
Transformation;
·
Merging
datasets.
As well as some exploratory data analysis (EDA) techniques:
·
Descriptive
statistics;
·
Visualization of
distributions;
·
Correlation analysis,
draw certain
conclusions. Knowing and using all of the above tools will allow you, as a
“risk manager”, to formulate and present what is known as an “invaluable value
gain”.
By linking risk management to management decision quality criteria, you
are likely to gain evidence of effective of company performance and an
understanding of the long-term viability of the business itself, enabling you
to communicate the value of the organization to shareholders and ensure
continued investment for growth.
Don't even ask for clarification or conclusions about the above! As a
former military intelligence officer, I have never encountered anything like
this. Therefore, I do not possess all of the above knowledge and skills. My
personal skills are much more modest. That's why my field is commercial
intelligence and crisis management, it's much easier and more accessible.
I would only add that at its core, so-called “risk management”,
according to the version of “risk management” itself, relies on the analysis of
quantitative data and methods of quantitative analysis: “Monte Carlo” analysis;
“Bow Tie” analysis, etc.
In this regard, I am reminded of a very old anecdote:
A patient comes to the
doctor, but the doctor takes one look at the patient and says to him,
- You look very tired
and exhausted. Which is not surprising given your complaints. I'm not gonna
torture you and take a blood test! Instead, I'll draw from ten random patients,
then mix their blood in a separate flask and analyze it. It's the same blood,
nothing unusual. And a larger and different sample of materials to analyze will
only refine and improve the quality of the analysis itself. Come back in a
week.
A week later, the
patient comes to the doctor again. The doctor looks at him with a long,
surprised look and says,
- I didn't expect to
see you again! According to your blood test, you have end-stage liver
cirrhosis, hepatitis, and a whole bunch of venereal diseases! How do you even
stay on your feet?
Isn't that weird? Research and analysis of objects that have nothing to
do with the patient are unacceptable in medicine! But, in “risk management”,
such analysis of events not directly related to the object of study and even
management is quite welcome.
And lastly. Try, personally, to find an answer to the question: What
percentage of manufacturing and/or selling companies, out of the total number
of companies, have shareholders? This information will come in handy when you
are looking for an easier job.
Scope of knowledge and skills
required in commercial intelligence and “Crisis Management”:
What should a commercial intelligence specialist know and be able to do?
We will proceed from the scope of his/her duties and sphere of activity.
Following Albert Einstein's
dictum:
“If you can't explain
something to a 6-year-old, you don't understand it.” I'll try to explain it to
six-year-olds, because I know a little bit about it. I've served and even
taught.
What exactly does a member
of the commercial intelligence team do?
We do not even forecast any
risks ourselves! (A detailed description of forecasting can be found HERE.) The most probable
and CONCRETE goals and objectives of the research are provided by the head of
the company and managers leading key business areas. They also act as key
customers of the research.
There's not much left for
us, the intelligence team:
·
Tracking (monitoring) of previously identified risks;
We look for “traces” of these events. We deploy our intelligence
collection network in such a way that it covers different areas of the
company's business activities. The point is that information and “traces” of
the events under investigation appear in different areas at different times.
Somewhere earlier, somewhere later. And, at the same time, the appearance of
information in different spheres is an indirect source of confirmation of the
realization of the event under study.
·
Determining the likelihood of the risk being realized
(actually materializing) in real time;
Since we are talking about information uncertainty, a future risk may or
may not occur and materialize. Determining the probability of realization of
the predicted risk is perhaps one of the most difficult tasks of commercial
intelligence and crisis management!
To understand this, we study the directly predicted risk and the
surrounding circumstances. Here, for the first time, the possibilities of math
come into play. What exactly is the math we use? The simplest of operations!
Addition; subtraction; multiplication; division (can be done in columns). “The theory of intelligence indicators” stands us in good stead. (Our guide will tell you.)
·
Informing about what happened and the development of
the situation, in case the risk is realized;
Round-the-clock informing of the main customer (business owner/director
and leading managers) about the state of affairs at three levels of the
company's business activity: Tactical (daily activities); Strategic (planned
activities); Operational (random events not predicted earlier).
·
Risk follow-up (observation) to better understand
communicate the real-life scenario and notification of this;
If a risk is realized, intelligence accompanies it in information and
analytical terms. A predicted risk quite rarely develops according to the
scenario that was considered when it was predicted.
·
Accompaniment (monitoring) of risk until the risk
loses its significance or conditions for its realization disappear;
Sooner or later, even an unrealized but threatening risk becomes
irrelevant and you should know about it!
All of the above are subject to real-time tracking (monitoring). You are
studying a specific risk(s). Prepare yourself for the fact that you will not
have ready-made statistical information directly related to the object of
research. NOT at all! You will work out everything you need using qualitative,
analytical research methods.
If we talk about statistics, then in the best case, the information
found will not relate to this particular case, but to some past events, at best
very similar. Nevertheless, such information is not in intelligence - reliable!
A meaningful forecast, in our way “evaluation of the event intelligence”, can
be made only on the basis of the most recent information directly related to
the current event being studied.
The specific end goal of all five aspects of intelligence activities is
to maximize the minimization of predicted, but particular risks and their
consequences for the company's business activities. Informing management about
the occurrence of unpredictable events (operational intelligence) and their
likely impact on the company's business. (What to expect, what to prepare for,
what measures are available to minimize risk).
Your company, in most cases, is able to do this proactively and not
through so-called “risk management”, but primarily through competent management
of its own resources and capabilities in a crisis situation.
So what are the key
qualities, knowledge and skills that a potential commercial intelligence agent
should possess?
·
Good knowledge of the business its conditions and the
surrounding business environment;
This is perhaps the most important quality of a commercial scout.
Understanding where and at the expense of where the profit comes from, to whom
(who the customer is) and how exactly we sell. The relevant processes of the
external market environment.
·
Basic (elementary) knowledge of arithmetic and math;
I'm ashamed to admit, but I still don't know what an integral is (I'm
too lazy to read Google, and forget it quickly), where it comes from, why it
needs to be extracted, and what to do with it next? I can see myself at a
meeting saying the phrase “Let's extract the integral?” (I suppose I would
learn a lot of new and interesting things about myself from my coworkers.) In
my more than 20 years of intelligence practice this has never come in handy.
·
Basic knowledge of methods of analyzing and analytical
processing of information;
Analysis, synthesis, induction, deduction - it is necessary to have an
idea about it. The most general knowledge is enough. All this is acquired very
quickly with practical experience.
That's probably all! Compare this with the amount of knowledge and
skills required by an average “risk manager”, and most importantly, with the
end results, and you will see for yourself that “crisis management” is much
simpler in content and production than “risk management”.
Benchmarking remains a separate topic of intelligence interest, but it
is written about in some detail in our“Practical Guide”.
Lastly, I can't resist telling another entertaining story. Many people
think it's funny, but I can't figure out what's so funny about it.
A blonde going for a
promenade is asked,
- What are the odds
that you'll meet a live mammoth on your walk?
The blonde replies,
- Well, either I will
or I won't. It's about 50/50!
It is customary to laugh at this point. I admit that I do not find
anything funny in this answer. I would even say that it is an absolutely
accurate answer of an intelligence officer and specialist. When we accept an
“order” for research from our “customer”, we will either discover what we are
looking for or we will not! A mammoth, after all, could be specially bred
genetically from a test tube!
Next time, I'll talk about the technology that allows commercial
intelligence to work as effectively and proactively as possible in the area of
“crisis management”. Yes! The technology is completely borrowed from the
military. What to do? Sun Tzu wrote his work over 2'400 years ago. And we, until
now, only draw wisdom...
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