© Bragona Scalabby. All rights reserved.


Here you’ll find answers to the questions we get asked most often

What is data visualization?

The graphical depiction of information and data is known as data visualization. Data visualization tools, which include visual components such as charts, graphs, and maps, serve as easy means to observe and comprehend trends and patterns in data.

Why Bragona Scalabby?

We are a team of professionals united by one passion – data visualization. We have honed our skills and increased our knowledge during the years of practice, working on a variety of projects and tasks in our careers. The sphere Bragona Scalabby works in now is a bit more narrow, but this is exactly what allows us to focus on growing faster and deepen our expertise to keep providing better services. It also makes us prepared for non-standard, even unique challenges. We are convinced that data visualization makes the life and business experiences of many individuals and companies easier and more pleasant. That’s why we never stop looking for more and more effective solutions for our clients. 

In this century when technology reaches an almost sci-fi level, we want to keep up. That is the reason our products are AI-based, and this is what makes them so helpful and user-friendly. 

There are certainly some out-of-the-box solutions that our company has already developed and that we rely on. But it doesn’t mean that there is no flexibility to them. We will develop a customized solution to any of our products so you’ll feel like that is made only for you, considering your special requirements and suggestions.

We are well versed in the latest technologies and Business Intelligence for effective work. We provide a set of advanced analytics and impressive data-visualization tools.

Is it an efficient way of presenting sets of data?

It is one thing to discuss information representation in a natural manner, however very another to demonstrate it with measurable data. Studies are the proof in the pudding that offer down to earth, genuine time investigation concerning why information representation works. When these details are received and acknowledged by your association, you can utilize them to impact the achievement of your company.

The expanding measures of information from truly developing sources make it practically inconceivable to control the inundation of data. Information perception is the apparatus that can consolidate and correlate information to make prompt and pulpable outcomes.

What are the best features?

Its best highlights are:

  • Adaptable dashboards that is embeddable with many most known applications
  • Ongoing intuitive dashboards for channel on request
  • Effectively filters, consolidates and changes information in adaptive manner
  • A lot of information associations with live and in-memory information
  • Installed Analytics
  • Progressed Analytics Integration with outsider motors like Python
  • Prescient Analysis
  • Shared document features
What makes data visualization an effective tool for business?

High-quality data visualization is critical for data analysis and decision-making based on it. Visualization allows you to quickly and easily notice and interpret connections and relationships, as well as identify emerging trends that would not attract attention in the form of raw data. In most cases, no special training is required to interpret graphical representations, which reduces the likelihood of misunderstandings.

A well-thought-out graphical representation not only contains information but also increases the efficiency of its perception due to visibility, attracting attention, and retaining interest, unlike outdated tables and documents. People respond to visual effects better than to any other type of stimulation. The human brain processes visual information 60 thousand times faster than text. Visual data makes up 90% of the information transmitted to the brain.

Data visualization differs from pure rational analysis in that it aims to tell a story in order to create an emotional response. There may be rational evidence right in front of you, but if you can’t imagine something that has never happened before, it’s impossible to stimulate far-reaching action. Algorithms can predict, people can imagine. Data visualization inspires the imagination the best.

Visualization is used in all industries. It is an important step in data analytics, which gives companies the opportunity to critically evaluate information and audience requests.

What visualization problems do you solve?

At Bragona Scalabby, we assist our customers in designing visualization solutions from the ground up as well as troubleshooting issues with their current data visualization tools. Here are some of the problems we solve:

  • Dashboards and reports that are overloaded:

When producing dashboards and reports, too many graphic components, colors, or data visualization types are employed, it becomes difficult to interpret the data. As a result, we make certain that the trends are easily discernible, that the chart types are consistent, and that the colors are appropriate. 

  • Inadequate flexibility:

Our data visualization services include the creation and design of dashboards for both desktop and mobile users. We even help our clients with data security issues and provide a distinctive UI/UX design. 

  • User role that has been overlooked:

We provide CRMs, desks, servers, dashboards, and reports solutions that are tailored precisely to your needs.

How can using your platform benefit my business?

Data visualization opens up a number of advantages for both large businesses and small enterprises. Visual grouping and sorting of data facilitate access to information arrays for both a businessman or speaker, and for the audience. There are many examples of data visualization and their essence is simple, the main idea is to simplify the life of an entrepreneur.

Interactive dashboard visualization becomes an intermediary between information and a specialist, displaying up-to-date information in real-time. It becomes no more difficult to monitor the changes than it is to monitor the readings of home appliances or the clock hand.

Data visualization tools are used to prepare presentations, visually demonstrate ideas to sponsors and business partners. The preparation of a report or table is several times faster; it takes 5-15 minutes to create an infographic.

By removing and adding details, studying individual sections of the graph or changing the presentation type, you can present the same data in different ways, notice unexpected relationships and sequences.

Endless hours of manual data processing in Excel are a thing of the past. Interactive analytics allows you to cut off the superfluous, leave the necessary, and then return to the discarded information and create a useful graph based on it. Visual analytics is an interactive way to improve the quality of data perception. And the most important thing is that when collecting such data and building infographics, the risks that the human factor assumes are eliminated. Therefore, the question of why data visualization is needed disappears by itself.

Simplicity, visibility, and presentability make data visualization an ideal business tool of the new century. Visualization of tabular business data and infographics globally helps to perceive boring and routine information in a completely different, easier understandable, and engaging format.

Data visualization programs break down the barrier between entrepreneurs and professional analysts. Now everyone can explore data: just upload the information, change the needed variables and choose the presentation format. Just like that!

How to choose the right type of data visualization?

The type of data visualization depends on the kind of data that you need to present and the goals you want to achieve. 

Do you want to compare values? 

Graphs are ideal for comparing one or more sets of values, and they can easily display the lowest and highest values. The best options for a comparison chart are the following: histogram, pie chart, scatter chart, scale with values.

Do you want to show the structure of something?

For example, you want to show the types of products volume divided into segments. The following diagrams will be the optimal choice for you: pie chart, stacked histogram, vertical stack, area chart, waterfall chart.

Do you want to understand how data is distributed?

Distribution tables help to understand the main trends and note what goes beyond. The best diagram types would be: dot chart, line chart, histogram.

Are you interested in analyzing trends in a particular data set?

If you want to know more about how numbers behave during a particular time period, there are types of charts that display this very well. You will need: a line chart, a double axis (column and line), a histogram.

Do you want to better understand the relationship between the set values?

Interconnected graphs are suitable for showing how one variable relates to another or several different variables. This can be used to show a positive, negative, or zero effect on another digit. What will be best for visualizing this type of data: dot chart, bubble chart, line chart.

Is visual data representation easier to digest?

The usage of visual material significantly influences our frontal cortexes’ ability to learn and deal with new information. A mix of words and pictures has exhibited on various events to be a more remarkable impact source than words alone.

Can I be sure that all data is secured?

We guarantee the safety of your data by meeting all the existing requirements for data processing according to the best worldwide standards. They include:

Security requirements for a data-independent database system:

  1. Work in a trusted environment. A trusted environment is an enterprise infrastructure with its security mechanisms determined by the security policy.
  2. Ensuring the physical security of data files. Here the requirements do not differ from those that apply to any other application and user files.

Information integrity requirements for data-dependent systems:

  1. User software security. We are talking about the tasks of building secure access mechanisms and interfaces.
  2. Secure organization of work with data. Data organization and management are key issues for an information storage system. This includes the task of organizing data with integrity control, and other tasks, sometimes specific to the DBMS.

All of our products are developed with consideration for these requirements, as we realize that data security is a primary concern for every business. As result, you are provided with a visualization tool that does not only arrange your data in an organized and attractive system but also ensures its safety.

How does AI make data visualization more efficient?

Artificial intelligence does more than ordinary computer programs. AI algorithms are able not only to perform complex operations but also to extract data from datasets in almost any format, be it images, videos, or even speech files. Artificial intelligence processes input data in the same way as the human brain and can present the results in a visual format. This makes it easier for people/developers to understand the information. It performs the necessary functions with data for you and presents you with a direct output in the form of a visual image or graph.

Artificial intelligence for data visualization can be used for almost any business format. You can pass any raw data to it, and the algorithm will perform the necessary processing, eventually giving you a very accurate, very refined result. This saves a lot of time and provides more accuracy than is possible for a person. The probability of manual errors is reduced to zero, since the work is done by a computer, and the final results are more definite. This improves the overall performance and efficiency of the system.

What is the future of data visualization?

Data visualization is becoming more and more popular every day. A lot of businesses cannot imagine their work without CRM systems, visualization desks, mobile apps that systematize information, and many other tools that make data illustratory, well-arranged and intuitive. And, as well as the demand grows, the service is bound to develop and become more high-tech, spectacular, and comprehensible. 

People will have higher expectations about the availability of data, its accuracy, usefulness, and how it will be visualized in the future. Obviously, the new tools will provide users with more data, not less. They will be easier to use, and therefore they will expand, as we already see due to the growing interest in such tools.

The ways big data visualization is going to change go side by side with general tendencies of the visual data sphere development. AI and Augmented Reality are the latest trends that get integrated into more and more areas of our lives. We are already actively using Artificial Intelligence in our products, and we can see it update and improve every year. Data processing with subsequent visualization becomes faster and more automated.
Augmented Reality is the newest driver of the software development sphere. Having been something from the sci-fi sphere for years, now it is entering our daily life, slowly but steadily. 

Visualizing data through AI and AR will be the next step. More and more data will be superimposed on our physical environment through augmented reality or projection. This means that not only will the data be visualized more, but the visual reality around us will be turned into data.

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