Business Intelligence and the Human Brain

Business Intelligence and the Human Brain

data input

Data Preparation: This is the strategy and tactic of preparing data for your primary goal of producing analytics insights. This includes cleaning and consolidating raw data into data that is well-structured and ready for analysis.

data preparation

Data exploration: Data exploration, or exploratory data analysis, is the process of studying and investigating a large data set through sampling, statistical analysis, pattern identification, visual profiling, and more.

data exploration

Data Enrichment: Data is enriched and augmented with inputs and additional data sets to improve analysis.

data enrichment

Data science: It is about applying more advanced methods of data extraction to obtain deeper and more difficult-to-extract meanings and insights, which are largely unattainable through more rudimentary modalities of data processing.

data science

Business intelligence: Business results can be achieved through an organization's combination of data, software, infrastructure, business processes, and human intuition.

business intelligence

Report Builder: The results of data analysis must be shared in an effective way that preserves the insights gained. The Report Generator organizes that knowledge and its results in an easy-to-understand format.

reporting

Optimization: Since variables change over time, it is necessary to optimize and improve models so that they continue to serve their original purpose or to evolve from this purpose based on new inputs or changing characteristics.

Simulation in Business Intelligence

AI Artificial Intelligence

Behavior of the Human Brain when Analyzing Data

Data Inputs

Simulation and Prediction

Projecting the objectives into the future and simulating possible scenarios with multiple hypotheses and variables on the business model, allows Corporations to anticipate critical situations, as well as detect opportunities with an objective: to be prepared to act, have plans of alternative actions and provide responses to unforeseen situations, in short, "take action".

Scenarios

The creation of multiple versions of reality, supported by multiple hypotheses and variables, and all based on the company's business model, allows the definition of alternative critical paths aimed at achieving objectives and resolving incidents in the event of changes and unforeseen situations.

“From a support point of view, the speed with which problems and incidents have been resolved during implementation stands out.

Characteristics

• Simulation of Organizational changes (Commercial Structure, Product Mix, Divisions, Markets).
• Unlimited versions for scenario simulation.
• Cascade models with generic variables (Interest Rate, Exchange Rate, etc…) and/or specific ones (Prices, Quantities…).
• Simulation on Drivers: Impact of the Cost of Raw Material, Simulation of Prices, Margins and %, etc.
• Sensitivity Analysis before variations in exchange rates (eg Manufacture or Buy and where to do it).

Projections

The realization of projections on the results of the Company and the variables that will influence the optimization of these, are key factors for the achievement of objectives and above all to know the possible growth scenarios to know where to direct the Company and what adjustments along the way, distinguishing where it is necessary to improve and where and how much it is necessary to invest.

Predictive Models

The application of complex statistical algorithms, to business models with large volumes of information, by business users, in minimum response times, has meant an important advance so that Companies can make predictions about the future or even about events. not known.

Artificial Intelligence (AI) is the combination of algorithms proposed with the purpose of creating machines that have the same capabilities as humans. A technology that is still distant and mysterious to us, but that for a few years has been present in our daily lives at all hours.

Artificial intelligence (AI) is the foundation from which human intelligence processes are mimicked by creating and applying algorithms created in a dynamic computing environment.

Artificial intelligence refers to computer systems that seek to imitate human cognitive function through machines, processors, and software in order to perform data processing and analysis tasks.

There are four types of artificial intelligence types, classified according to a generalized vision of the advances in Artificial Intelligence (AI) research. It is a kind of consensus that concludes that intelligent and sensitive machines are getting closer.

What dangers does AI have?

There are three fundamental risks: accidents, misuse and arms races. Artificial intelligence systems sometimes malfunction. For now, the damage they can cause is limited, although there have already been fatal accidents involving autonomous cars.

Greater control in processes: artificial intelligence is capable of controlling and being much more efficient in production processes and production lines. · Greater productivity: in addition, thanks to automation and rapid decision-making, AI favors the increase and quality of productivity.

Information processing begins with input from the sensory organs, which transform physical stimuli such as touch, heat, sound waves, or photons of light into electrochemical signals.

The brain receives information and external and internal influences that allow it to trigger the most appropriate behaviors at all times. In addition, our behavior entails consequences in the environment, which can be experienced as positive or negative for us.

Information from the world around us is conducted to the brain through a complicated sensory system consisting of receptors of various kinds that act as transducers; they transform physical and chemical stimuli in the environment into nerve impulses that the brain can interpret and give meaning to.

There is a great variety of brains in the animal kingdom, but since the sensory system is also very different between the different species, the interpretation cannot necessarily be the same; that is, the interpretation of the external world is characteristic of each species.

Likewise, intelligence, creativity, communication and relationship between living beings have reached their maximum capacity and refinement in humans, and this is mainly due to the remarkable development and evolution of the brain.

In information theory, the term input refers to the information received in a message, or to the process of receiving it.

Just like the computer and the outside world.
In human-computer interaction, the input is the information produced by the user for the purpose of program control.

The user communicates and determines what kinds of input programs will accept (for example, typed text or control sequences via keyboard and mouse).

Input also comes from networking and storage devices (for example, disk drives).

Example: 1 + 2 = 3
1 and 2 are the inputs, while 3 is the output.

In control theory, the inputs of a system are the signals that are fed into it and that can be altered by it. In particular, inputs differ from states.

Data analytics is the process of exploring, transforming, and examining data to identify trends and patterns that reveal important insights and increase efficiencies to support decision making. A modern data analytics strategy enables systems and organizations to work from automated analytics in real time, ensuring immediate, high-impact results.

The data analysis process

The data analysis process is based on several steps and phases. Findings from later phases may require rework at an earlier phase, implying a cyclical rather than a linear process. Most importantly, the success of data analysis processes depends on the repeatability and automation of each of these steps.

The analysis process is best divided into the following steps and phases:

Data Entry: Determines the requirements and collects the data. This involves some investigative work, such as talking to stakeholders, finding out who is responsible for the data, and gaining access to the data.