Br24, a strong arm in decision-making: data and process analysis

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If there is one constant in the business world, it is the need to make quick and effective decisions. The ability to make informed choices is the foundation of successful companies. In this article, we will delve into the world of decision-making, revealing what it is, its importance for companies and exploring types and processes that can revolutionize the way managers, directors and business professionals conduct their operations.


Understand what decision making is
Decision-making is important in any organization. It is the process by which choices are made between two or more alternatives. Whether it is to define market strategies , launch new products or manage teams, the act of decision-making permeates all levels of a company.

To truly understand its essence, it is crucial to view decision-making as a set of structured steps that culminate in tangible results.

Importance of decision making for a company
Decision-making is not just an operational function; it is a compass that guides a company’s destiny. Informed decisions can drive growth, while poor choices can result in significant challenges.

For managers and leaders, understanding the strategic importance of this process is vital. When applied effectively, decision-making not only solves immediate problems, but shapes the future of the organization.

Learn about the types of decision making
Now, let’s explore the different types of decision making, each playing a distinct role in the corporate landscape.

Expert decision making
In the business context, expert decision-making emerges as a vital element, where subject matter experts lead the decision-making process. This unique approach, centered on technical knowledge, aims to provide accurate and efficient solutions to specific challenges that organizations face.

A good example of this approach can be found in the consultancy of a specialist in implementing CRM software and automating organizational processes . Imagine a company that seeks to improve its operational efficiency and optimize customer relationship management (CRM).

By bringing in a software implementation specialist, the company benefits from specialized technical knowledge to guide its decision-making, ensuring a solution tailored to its specific needs. This involves not only the experts’ sharp technical skills, but also their deep understanding of the industry.

Collaborative decision making
Six professionals at a meeting table evaluating graphs and important data for the company's decision-making.

Today, collaborative decision-making is emerging as an essential strategy. Synergy among team members not only drives collaboration, but is also the driving force behind strategic choices.

Gathering insights and exchanging ideas are not merely parts of collaboration, they are fundamental tools that shape robust decisions. Bringing diverse minds together provides a holistic view of challenges, resulting in innovative solutions that go beyond the conventional.

This approach is not just a process, it is a culture that strengthens trust among team members, driving innovation and setting companies up for long-term success in an ever-evolving marketplace.

Rational decision making
A rational approach to decision-making is crucial to organizational progress. Based on data and logic, this methodology aims to find the best solution after meticulous analysis. Rational decisions serve as solid foundations, reducing risks and maximizing opportunities.

Imagine, for example, choosing an all-in-one software instead of opting for several specialized options. When analyzing the expansion and efficiency of the company , rational decision-making would involve considering software chile telemarketing data that offers integration between areas, automation in repetitive activities and a complete view of organizational processes.

In contrast, using specialized software in different areas can increase costs as the organization grows, making the choice of an all-in-one software a more logical and cost-effective decision. This mindset is not just a methodology, but a principle that elevates choices to a level of reliability.

By prioritizing data and logic, companies not only mitigate risk but also open doors to strategic opportunities, paving the way for solid and sustainable progress.

Value-based decision making
Throughout a manager's personal and professional development, many principles and values ​​are acquired, improved and discovered. Every manager has his or her own ideas, references, influences and experiences, and these can be used to help in decision-making.

Furthermore, your company's mission and vision are also part of value-based decision-making. They are fundamental guides for business management and cannot be left aside in this process.

Intuitive decision making
Those who think that the famous “sixth sense” does not influence business decision-making are very mistaken. Intuition can be used in business management, but it requires a lot of attention.

Generally, intuitive decision-making is done by professionals who do not carry out good planning and end up making choices based only on guesses, emotions and previous experiences, without any type of study or technical knowledge.

Although it is similar to value-based decision-making, intuitive decision-making is much less solid and much more volatile. For these reasons, it can generate many risks for the company, and it is important to avoid it as much as possible.

Simplify your decisions with data visualization
The visual representation of data facilitates the understanding and interpretation of business information, leading to more assertive decision-making both for the business and for the projects developed by the company.

By choosing the right visualization type and customizing the visual details, you can present complex analyses to your team in a simplified and accessible way.

Improve your strategies by adopting data visualization as a strategic tool for decision-making. Take advantage of digital tools, such as Miro , to facilitate the analysis process and integrate the team.

Types of data visualizations for complex decisions
The type of data visualization used to represent information depends on the complexity of the data. Below are the most common representation options:

Graph : uses points, lines, bars, curves, or areas to represent the comparison of different variables, usually along two axes at a right angle.
Infographic : combines visual and textual elements to represent data, using graphs or diagrams.
Data Dashboard : Brings together a collection of data displayed in one place to help with analysis and presentation of information.
Gantt Chart : Used in project management, this model organizes data with the support of a table, creating a timeline for tasks.
Heatmap : It is a type of geospatial visualization in the form of a map that displays specific data values ​​by representing them with different colors that signify greater or lesser activity.
Venn diagram : compares given groups, facilitating the understanding of similarities and differences, using circles to identify each group and their intersections.
Histogram : is a type of graph that uses bars at different heights to represent groups of data related to the variables involved, facilitating analysis.
The Science Behind Data Visualization
You’ve probably heard the saying “ a picture is worth a thousand words .” And science proves this saying. According to the International Forum of Visual Practitioners , the human brain processes images 60,000 times faster than text, and 90% of the information processed and transmitted to the brain is visual.

The main reason is that the transmission of information from the eye to the brain happens at an unimaginable speed. This way, we are able to see, make sense of and insert images into context quickly.

The human brain is capable of recognizing a familiar object in 100 milliseconds. A renowned MIT study estimates that just 13 milliseconds are enough to recognize even unfamiliar images.

In this way, data visualization is a resource that helps tell stories, presenting data in a more organized and understandable way. The tools used, such as graphs and diagrams, also facilitate the interpretation of trends and the elimination of irrelevant items, avoiding bias and errors in the analyses that can compromise decision-making.