Data is increasingly important to companies and knowing how to interpret them correctly and quickly is a constant challenge. The current business world is very fast, so it is no longer possible for companies to survive only at the expense of lengthy reports. Business Intelligence, artificial intelligence and the need for real-time information are changing the way we view data. In today’s article, we present the key trends in data visualization!
Location-based data analysis and visualization
Mobile applications and social networks are increasingly using geo-referencing. In this way, it is possible to know where a customer is located and to send personalized and useful information at the moment, in order to stimulate a purchase. This trend will be well present in the future, where applications will begin to integrate more analysis based on geotags.
Data visualization for all
The tendency is for all employees in a company to have access to data that is important for the performance of their obligations. If the data were previously only available to top managers and decision makers, in the future it is expected that there will be a democratization of data access so that all employees are better informed and better able to perform their tasks.
The large volume and complexity of data requires new ways of analyzing information. Interactive dashboards are going to be a big trend next year. Softwares such as Multipeers allow the creation of an interactive dashboard with information from several data sources, which makes the analysis faster and, consequently, the decision making is faster and efficient.
Presence on multiple platforms
Companies should be present on various platforms (social media, blog, website) and thus collect data from various sources. This information can be used to better understand customers and their needs and desires. In this way, business portfolio can be adapted to the real needs of consumers, which will make them more loyal to the brand.
This will be one of the most important professions in the future. A data scientist is an analytical professional who has the technical capabilities to solve complex problems and has come up to deal with the huge amount of unstructured data that companies have to deal with on a daily basis. This professional creates algorithms to extract insights from the data generated by the diverse sources of information and presents them in a practical and simple format to analyze by the decision makers, who will be able to define strategies and decide the best way for the company.