Unfortunately, as engineers, or technicians in general, our training does not address in detail the techniques for writing insights. This short text seeks to serve as a basic guide for future analysts. I introduce the concept of insight and provide advice for the . Providing your client with insights, briefly defined as short texts of analytically processed information, is a valuable addition to the services provided by virtually any company. creation of concise and short intelligence pieces As a senior data analyst, I must do precisely what Ray Dalio, finance magnate, mentions in his when asked what role machine learning will play in making decisions and in the analysis: December 2019 conversation with Lex Fridman in his podcast “Artificial Intelligence” “AI is particularly good at processing data, but the notion of what you want to do is most of the time better determined by the human mind. What are the principles? ” (Approximate quote) - Ray Dalio in an interview with Lex Fridman TSC.ai (where I work as a Senior Data Analyst) is a technology company that uses artificial intelligence to provide, precisely, intelligence to our customers. . In part, this intelligence is provided through insights . An insight is a short text, less than 2,000 words, that provide intelligence to a client who does not expect to read a 10,000 paper or read five news to arrive to a conclusion on a topic. Examples of what are perhaps the most famous insights are in . Be careful, an insight is not the same as a report or a thorough investigation the Bloomberg QuickTake series The insights provided to the client require information processing for their creation. . The AI has serves as an invaluable tool for the creation of intelligence, it is formidable in the work of processing data for the prediction or identication of patterns. However, we are at a point where (playing Go or Poker does not apply): As Dalio says in the same interview, you will not allow an AI to dene how you are going to educate your children. For the information processing the analyst can use tools such as articial intelligence, for example Atium of TSC.ai, however, this is not enough AI is not yet excellent in decision making that involves considering a large number of variables that evolve over time Once data is processed by the AI, . Think, for example, of an NLP algorithm that identies names of persons in news and creates a summary of the story; in this case, when carrying out the analysis, it must be decided whether, given the fundamentals of what is important for our client, the news is of sufcient relevance or not, and whether the individuals identied are relevant to the story we want to provide to our client Ajay Agrawal, Joshua Gans and Avi Goldfarbo, make it clear in “Prediction Machines: The Simple Economics of Artificial Intelligence”: . the analyst has the decision of how to use the information, if he uses it, to make it useful for the client although prediction (provided through AI) is a key component of intelligence, it is not one in the same To provide intelligence, artificial intelligence is not enough. Insights are precisily that and can only be made by humans. Next, I will present some relevant points that my team and I have found for performing quality insights. But, first of all, remember the main rule: Put crudely, the objective is to develop quality insights that will be sent to very, very busy people (customers) who want to see the note in two minutes. The work of the analysts will be based on three fundamental pillars which I adressed here: 1) search for information, 2) writing, and 3) content structuring. 1)  Search for information For this, a reliable and reliable search engine must be used. . To my experience, Google is enough At the time of the search it is advisable to . Example: If the insight must address the process and current state of the regulation of financial technology companies (FinTech) in Argentina, it is advisable to enter keywords in the Google search bar as follows: regulation+fintech+Argentina. use keywords on the subject under investigation . The idea is to offer the reader the latest events on the requested topic. Select recent information, as recent as possible . On the internet there is a lot of information and most is not good or serious. Consider the information contained in reliable websites As an additional, you can read: ; although, according to my experience, this is enough most of the time. 10 Advanced Web Search Techniques You Probably Never Knew About 2) About the writing The quality of an insight is not in its extension but in its content: clear ideas, short and successful writing. As I mentioned, most customers want to read your insight in two minutes. For this, At TSC.ai we provide maps of relationships between stakeholders that make insights more digestible. For example, look at this map, in Spanish, about the exponents of a new 2020 tax in Argentina: the extension of the insight will range between one and two pages. Visualizations are great! If you have not previously read about the subject under investigation, it is impossible to start developing the insight. Therefore, it is necessary to start by making a good reading of the information found. Then, . The title could be something like "New Mexican Tax Focus on Digital Services" or "The Influence of Cristina Fernandez on the Argentinean Government in 2020". write a very concise title that reflects the objetive of your text Whenever possible, . The only objective mentioned in the title must be met. look at the title of your insight to remember what it is about If you are still your first insights, I recommend that . This will force you to keep it concrete and short. This concept and more are in the excellent book " " by William Zinsser. at the end of your insight you reread it and make a commitment to reduce at least one third of the words used On Writing Well ! Do not write superfluous words for padding 3) Content structuring Since the content of the insight depends on the addressed topic, there is no recipe for the structure of the insight. Therefore, the creativity of the analyst and his own initiative is appreciated at the time of bashing the ideas in a coherent and orderly speech. Here is the general structure I recomend. For the beginning of the insight: : it must be (consider that it will not be aimed at academics) and . Title concise, easy to understand directly related to the main objective of the insight : indicate the day on which the report has been prepared/updated and the place from where it has been prepared. Date and place : in a paragraph, the topic to be addressed should be briefly introduced; In other words, give (what will it be about?). Introduction an opening on the purpose of the insight For the main body: Avoid writing a lot and saying little. That is, go to the point. It can contain as many parts as the analyst considers, as long as they are . directly linked to the subject under investigation and offer accurate and important information A clear wording is essential to understand ideas perfectly. . Force yourself to explain thoroughly in the least possible words; I know, it requires work. Write as if your insight was directed at someone who doesn't know anything about the topic While it is true that information sources will be used, ! please do not copy and paste The argument must be taken care of; that is, . maintain the logical (or chronological, if necessary) order of ideas as they develop Try to and if they branch out another level of bullets can be used to show that the idea has "subideas". In my opinion, there is no limit to the use of levels, you just need to maintain the relationship and order. organize your ideas in bullets Our clients are generally interested in knowing , for example, regulations, so we as provided by TSC.ai. As an example, look at this map about who is who in the 2020 regulation of fintechs in Argentina: who are proponents and who are critics of certain topics provide a list of interested parties and their positions on the topics in question. This can be beautifully summarized in a relationship map : Depending on the insight requested, it may close with a brief conclusion, usually a paragraph, which will . It may also contain an (it will depend on the topic). Conclusion indicate the most relevant findings observed during the investigation analysis of its potential future consequences : Suggestions will be established if there are any or if they are required. In this phase . Recommendations the analytical capacity of the one who makes the insight is crucial Finally, remember... Artificial intelligence is an excellent tool to provide intelligence to your customers. However, most of the time it will not be enough; It will take the human component that processes the information. In this short text, the concept of insight is introduced as a piece of short text that provides concise information that, ideally, can be read in two minutes.

Beyond Artificial Intelligence: Providing Insights to Your Customers

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