Top 5 data visualisation tools
13 October 2023
Head of Marketing and Communication
Today, companies generate huge volumes of data each year on the results of their marketing strategies, their sales balance sheet, stock, inventory levels, staffing levels, production metrics, expenses and other KPIs, which can make it quite difficult to get an overall view of the business.
In this respect, the various types of data visualisation The current data tools allow all data to be converted into business information that can be presented in a more attractive way and more easily understood to make it more useful. Being the Power BI data visualisation tool one of the best options.
Here we explain what data visualisation is, why it is so important for businesses and what types of data visualisations exist.
The data visualisation is the representation of data through elements such as graphs, infographics, diagrams and tables to identify patterns, trends and unusual values in order to obtain quick and easy to understand information that helps to make more agile business decisions. But also to generate or illustrate ideas, for example.
A very powerful weapon we can use to demonstrate performance, convey trends, make connections and understand the impact of new strategies.
Hidden within the data is useful information that can help drive our business forward. The problem is that it is not always easy to make sense of them when they are raw. On the other hand, the structured data allow us to establish connections and patterns, and to find information that we would not otherwise have noticed.
A good work of data analysis and visualisation helps us to avoid noise and to give relevance to the information that is really useful in order to have the most complete view possible in the shortest possible time. That is why companies should always have a data visualisation programme that is versatile and capable of solving all their needs.
In the business world, speed of decision making is essential. When we know the situation, it does not have to be complicated, but if the circumstances are new, it is important that we have the necessary leeway to research the data in the shortest possible time. Some of the best options in this regard are the following:
Power BI allows the realisation of customised visualisations. For example, storytelling with data data visualisation for PDF professionals. Telling a data-driven story can completely change the way data is analysed and consumed, as narrative can give figures and data a more human touch, making them less overwhelming and more understandable.
But there are also others types of visualisations in Power BI to suit different needs, such as area charts, bar and column charts, cards, single numbering, ring charts, combo charts, funnel charts, meter charts, KPIs, maps, line charts and pie charts.
In addition, the visualisation in Power BI is perfectly compatible with other tools such as ExcelThis makes it a very useful tool from a business point of view.
Excel is a free-to-use tool that allows you to create different types of charts that are often still quite unknown, but can be very useful to support the visualisation of company information. For example, mini charts, funnels and conditional formats.
Kibana is an open source tool that is part of the Elastic Stack suite of products. It is designed to analyse, explore and view the data indexed in the Elasticsearch analytics engine. It incorporates numerous category filters and presents data through customisable dashboards.
This tool is used to generate dynamic and interactive visualisations, allowing interaction through the exchange of data and information panels. It is composed of different databases such as PostgreSQL, MySQL and Elasticsearch, with which it is possible to obtain metrics, filter data and make annotations instantly.
Knowage is an open source tool that provides powerful solutions for reporting, data retrieval, ad-hoc querying, multi-dimensional analysis and dashboarding. You can configure and export documents in a variety of formats, and include interactive graphs, text and crosstabs, for example.
We hope you have found this article useful. Now you know everything you need to start using data visualisation tools to track progress, identify trends and use all that knowledge to make strategic decisions based on solid evidence and rectify potential mistakes if we notice that our business performance is affected for any reason.
But if you want to dedicate yourself to it professionally, you can do this through the Data Science Data Transformation and Data Integration Processes: Basic Visualisation Course. A very complete training to learn how to plan and implement data collection, processing and data loading processes with Python following the ETL model. Helping companies to make more agile decisions based on consistent data.
If you are looking for technology training fill in the form for more information.