What else do you need to know and consider when planning your exploration?

 

What is the difference between “investigation” and “research”?

          I was about to describe the intelligence technology we use in crisis management, but I suddenly realized that one important topic may remain untouched and undisclosed.

Have you ever wondered what the fundamental difference is between “investigation” and “research”? Which is easier and which is harder, where the path is much shorter? The topic may not seem serious, but it is very important! It has a significant impact on better matching and subsequent recruitment and selection of candidates for intelligence work.

Who are we going scouting with?

          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.)

What's WRONG with using artificial intelligence (AI) for commercial intelligence and crisis management purposes?

         The spread of artificial intelligence (AI) is becoming more and more widespread in recent times. Go to Linkedin or any other specialized group or social network, you will see many publications offering and advertising AI as an indispensable assistant in business. AI is capable of replacing a lot of inefficient people in their workplaces. Many programs and courses are offered to better master and learn AI.

However, is AI suitable for all tasks? Can it fully replace humans, especially in high-risk areas?

When you're hiring new staff, don't you pre-screen them at the interview? Why not dig a little deeper into AI? Find out more about it? Is it worth the risk?

If you have ever read “combat documents”, for example, intelligence reports on some problem, now by structure of construction, I will reproduce a similar product. How much to trust it is for you to judge! It is better to double-check everything yourself, especially if the topic of research is close and in demand by you. In the future, I will explain why the document is composed in this way! This also directly relates to the very essence of our narrative.

So:

Why is it that (even) entry level analysts, will do the job much better and more efficiently than artificial intelligence (generative network)?

Strategy session in commercial intelligence

 (principles, participants, products, results)

Before starting our brief excursion into the theory of the issue, please accept my apologies in advance for the level of my English. As I wrote earlier, it is not my native language, but the topic is important. Therefore, if something remains unclear or undisclosed, feel free to write in the comments. We will figure it out, I have a lot to share.

1. Why and when is a strategic session necessary in commercial intelligence?

To answer briefly, the main purpose of a strategic session in commercial intelligence is targeting! Defining (identifying) objects for further study by the forces and means of intelligence. Creation of the very “chain of proactivity” of the company's response to future risks, which you already know from the previous post.

Targeting - the accurate definition, identification and specification of targets for intelligence research, is a key factor in the effectiveness of all intelligence activities. In the intelligence services of many countries of the world there is even a special term – “error as to object”. It characterizes the situation when the object of research selected for intelligence is chosen according to erroneous or incorrect, irrelevant parameters. This leads to the fact that instead of a real actual object, a random (erroneous) object falls under the research and development of exploration. While the real risk may be missed and will be able to have a negative impact on the company's activities.

Proactivity or “risk management”

 Why does commercial intelligence always do the first and never the second?

Before we begin, per usual, I apologize wildly for my English again. It's not perfect, but it's not my native language either.

Now let's get started...

The key purpose of this whole story is a cautionary tale!

If you want to have a highly effective intelligence capability in your company that allows you to maintain a high level of competitiveness, do NOT overburden intelligence with functions that are not assigned to it. Especially those that can be handled by other parts of the company.

First, let's look at “risk management” and the reasons why commercial intelligence does not engage in this area of activity. Let's start with opportunities!

Problems and opportunities of “risk management”

Does the commercial intelligence system have real market “risk management” capabilities? Definitely not! Real external market risks are not manageable.

A narrative about a simple thing

 or the nature and content of commercial intelligence work and why it works the way it does

Note:

How to use this cheat sheet? Read the note. If you're not hooked, then maybe it's just not your thing. Drop the case. It's not worth wasting your time and energy.

If you are interested, but not before! If you want to understand and implement the system in your business or company, I recommend downloading the guide at the link. It's pretty comprehensive. Anyway, I tried to create a guide that allows you to deploy the system from scratch. If you have any questions, I'm open to discussion.

 I apologize wildly for my English again. It's not perfect, but it's not my native language either.

You can download a “practical guide” to commercial intelligence absolutely free of charge here: “Hunting black swans” or ask any question you may have here: Discord (https://discord.gg/6eAsU8nBHF)

There is a famous saying by Albert Einstein:

“If you can't explain something to a 6-year-old, you don't understand it yourself.”

I will take the liberty of outlining the essence and practical content of intelligence activities in commercial intelligence.

Commercial Intelligence Beginning

          While participating in a discussion on Linkedin about business competitiveness, I suddenly realized that managers and specialists know almost nothing about the capabilities of commercial intelligence and the advantages it provides to businesses. It is likely that business people themselves have little understanding of these capabilities.

I found it strange, as the technology itself had its origins and development back in the 1990s. And yet!

Well, I will try in a few short notes to outline and remind in general already well known, in passing dispelling a few well-established prejudices and misconceptions.