15 November 2022
The quantity of data available to most tech communities keeps growing, and tech businesses are constantly searching for better solutions to understand and put that data to use.
By 2025, global data creation is projected to grow to more than 180 zettabytes. With these high volumes that keep growing and growing, many businesses are starting to drown in a sea of data. Rather than pulling useful insights from the data available, they are simply overwhelmed by the volume and unable to find the most valuable nuggets of information.
Data visualisation is there to help tech communities swim rather than sink in their sea of data. Tech communities are now free to make greater use of data visualisation to gain deeper insights from their data.
And data visualisation will continue to grow in importance for tech communities as the volumes of data available grow. In this article, we will explore the benefits of data visualisation and explore the best use cases of data visualisation.
A tech community is a group of people who have similar interests or jobs that relate to a specific area of tech. For example, there are tech communities for specific coding languages, software, demographics, and more.
Tech communities work together to achieve all kinds of common goals. This can vary from developing new technology to dealing with diversity and inclusion. Whatever your interest is in tech, you can probably find an existing community already talking about the topic – and if not, you can create your own.
For example, numerous tech communities discuss data visualisation, such as the Data Visualization Society and Elevate.
While each tech community may have a specific goal it is working towards, the overall goal of all tech communities is to share knowledge. Crowd-sourcing knowledge is a part of the culture in tech. Rather than duplicating efforts, many developers would rather work together with others who share the same interests and reach a solution faster.
As such, data visualisation communities are an excellent resource for anyone looking to improve their skills. By discussing ideas, best practices and more with people who have the same interest, you can quickly develop your skills.
With the quantity of data growing all the time, the tech community needs a way to understand it. This is where data visualisation comes in handy. It’s a useful tool for almost every tech community to have in their arsenal. Here are a few reasons why.
Data visualisation speeds up the process of analysing data. Instead of looking through immense libraries of raw data, interactive dashboards and graphics help you spot patterns and useful information in the blink of an eye.
Rather than struggling to find the insights hidden in your reports because there are many confusing, indigestible numbers, you can quickly glance over easy-to-digest visuals, spotting anomalies or trends.
Companies like Vizlib are committed to helping tech communities visualise their big data in interactive interfaces and easy-to-navigate dashboards. With data visualisation tools, tech communities can move away from depending on certain members for interpreting their data. Dashboards make it simple for non-technical users and those with lower skill levels to review data in an approachable format.
When data scientists write advanced analytics or machine learning algorithms, data visualisation becomes a vital tool in conveying the output. Tech communities can monitor the results of their advanced analytics projects and ensure that their models are working as intended.
According to IDC, around 22% of data is useful to businesses. The challenge is finding it. A lot of time is spent analysing data that is later disregarded due to inaccuracy or irrelevance. On a business level, this represents a significant challenge: how can the process of finding the data you’re looking for become more efficient?
Data visualisation helps tech communities identify meaningful insights and trends in their sea of data. You can not only find patterns and see where there is room for improvement, but you can also quickly establish what data is useless and irrelevant. What’s more, businesses can have more confidence in the accuracy of their data.
Data visualisation helps tech communities maximise efficiency and make innovations faster. Community members can then take those innovations and use them to support their role in the business.
For example, Verizon Connect started increasing operational efficiency with data dashboards. Their data visualisation works through an IoT sensor that companies attach to vehicles which track mileage, fuel usage, and speed.
The information is then communicated via data visualisation, and companies can quickly gauge where they can increase efficiency by driving more economically, saving fuel or taking a shorter route. This is a simple but effective example of using data to make more efficient business decisions.
Vizlib’s solution can supercharge how your team approaches data analytics. And you can call on Vizlib’s data visualisation expertise any time. To learn more about how Vizlib’s tool can help you do more with your data, get in touch.
Vizlib’s feature-rich data visualisation products will help you get started on your data storytelling journey.
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