Six tips to optimize data visualization in companies

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Qlik explains the most important aspects to take into account in order to get the most out of massive data storage through the optimal integration of data visualization technologies.
The saying “a picture is worth a thousand words” makes perfect sense in today’s world where both users and companies generate large amounts of data, which when stored, become the already popular concept of Big Data . This data has no value in itself if it cannot be displayed in a simple, accessible and visual way, so that any business user can make agile decisions.

While graphics have been used in the business world for decades, visualization technologies have improved to keep up with today's needs of mobility, big data and the new profile of the business user.

«With the integration of optimal data visualization oman phone number lead technology, it is possible to display key information through graphs, tables, maps, etc., which allows conclusions to be drawn from them in a simple and visual way, which is essential for companies to be able to make better decisions in real time, as well as improve the functioning of their business, discover areas to promote or anticipate problems before they become a real problem for the company.» explains José Antonio Miguélez, technical director of Qlik Ibérica.

For an organization to get the most out of next-generation data visualization, it must focus on five aspects:


#1 Have clear objectives
A common mistake when visualizing information is trying to cover too much, which results in charts with too much information that makes it difficult to view. To avoid this, each visualization should not have seven to nine data points. In addition, it is essential to specify a specific number of KPIs in the dashboard, as having too many indicators is distracting.

“The less there is to interpret, the easier it is for the user to understand what they are seeing, which is why the cleanest format is usually the best option. Likewise, the format must be chosen well for each case to maximize the result,” explains Miguélez.

#2 Choosing the right chart
It is not only essential not to choose too much data, but to choose the right graph based on what you want to show, as well as the target audience.

A good example is the pie chart, a very common format for visualizing information, which, however, for certain visualizations makes comparisons between areas difficult and when working with more than 5 categories, making it more advisable to use the bar chart in those cases where a greater number of categories are handled.

#3 Using color to facilitate understanding and perception
Using colour correctly makes a graph better and more understandable, while allowing users to easily identify the most relevant information. It can be used, for example, to highlight positive or negative aspects or to show changes and developments over time.

“Despite the importance of using the right colours, it is important to remember that analysis is key. Many companies fall into the trap of using their corporate colours in visualisations, but this is not always the best option. You have to take into account what you want to convey with your messages and make an appropriate choice based on this ,” Miguélez recalls.

#4 Choose your data carefully
Good visualizations start with good data. To avoid displaying erroneous results in a graph, special care must be taken with the data collection processes. Data quality is essential for subsequent decision-making processes.

#5 Collaboration and mobility are presented as key elements in the evolution of data visualization
Collaboration and mobility are currently two fundamental aspects that affect the way we work. Having data visualization technology that integrates capabilities as important as mobility, to access the key information visualizations we need from any mobile device, as well as the possibility of carrying out the necessary analysis of our information and, in addition, having the possibility of collaborating and sharing the visualizations and analysis with other departments or work teams and facilitating participation in decision-making.