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Today, it’s almost impossible to think of a banking app, fitness tracker, or business software that doesn’t have some type of chart to track your finances, health, or business KPIs. Software apps generate an overwhelming amount of data points, and your product users need good visualizations to make sense of it all.
But what does it mean to build “good visualizations” in 2024? According to a recent study, 74% of employees feel overwhelmed when working with large datasets. So one thing is for sure: traditional business intelligence will no longer cut it.
Your product users are craving new ways of data analysis to make data-driven decisions. How can your software adapt? Here are 7 data visualization trends to help you build a better user experience, keeping your software users happy and engaged.
Visualization software like Tableau or Power BI is phenomenal for data analysts. However, for the average business user who needs quick data points to back up their decisions, they are not very user-friendly. It’s time-consuming to extract data from many different data sources and build visualizations on top of complex datasets.
Instead of using a separate data visualization tool to analyze data, metrics and graphs will start appearing tightly integrated into the software apps we use on a day-to-day basis. When business users get access to insights in their workflows, making data-driven decisions becomes more natural.
If you’ve ever worked with enterprise software systems, you’re probably very familiar with the traditional KPI dashboard. Usually, they are hidden behind a tab called “analytics” or “reporting”, and they open up to a boatload of dashboards and reports.
These traditional KPI dashboards are making way for a more immersive data analysis experience. To break free from a fixed canvas, more and more software applications are seamlessly blending charts into other parts of their application. As a result, insights are appearing everywhere: from single charts to pop-ups, browser extensions, email alerts,... For example:
Imagine you’ve built a social media platform for marketers. Naturally, the head of marketing will look at different KPIs than the social media manager. And even then, two social media managers with the same role at different companies may care about totally different metrics too. It all depends on their context.
Modern data visualizations will take into account a user's context. If company A posts only on TikTok, they will see metrics like video views and follower growth rate. If company B, on the other hand, uses LinkedIn for B2B advertising, they will see metrics like cost per lead and number of downloads.
Other ways of personalizing the experience include localization, presenting data in the user’s own language and timezone, as well as responsiveness. No matter when a user wants to view insights, they should adapt to look great on desktop, tablet or mobile devices.
In terms of user experience, this is groundbreaking for your product users. They get served with the most relevant, valuable insights in their preferred language.
Even with advanced personalization, certain ‘power users’ will want full control over their data. They want to dive deeper into raw data, or explore niche metrics. For that reason, customizable interfaces to analyze your data are gaining in popularity.
More and more modern software apps adopt a user-centric design for analytics. Think of user interfaces where software users can create their own charts, pin them to your app’s homepage, or select widgets from a set of templates you offer them.
Data analysis is no longer a privilege for data scientists or large enterprises. This has been an emerging trend over the last years, but with recent advancements in artificial intelligence, data democratization will further explode.
Thanks to generative AI interfaces, users will be able to analyze big data sets using natural language. Imagine typing a simple question – “What was my best-selling product in the last quarter?” – and then getting a pie chart in return, presenting data about your product sales.
With the help of machine learning algorithms, data analytics will become a much more conversational process. And that goes hand in hand with data storytelling, since generative AI can help you spot compelling narratives in your data.
Static graphs are officially a thing of the past. Businesses that use interactive data visualization tools are 28% more likely to find information quicker than those who rely on static dashboards.
In the next years, interactivity will go beyond basic filtering. Modern apps will connect data visualizations to other functionalities of their product to streamline the decision-making process. Imagine you’re looking at a stock chart in your investment app, and you’re able to immediately sell the stock when the price hits a certain threshold.
For a truly immersive experience, elements of virtual reality and augmented reality are making their way to data visualization. Think of 3D animations - like this 3D model of an apartment building - which you can filter and control through interactive data visualizations.
When you need to make an important decision, time is of the essence. Especially in sectors like healthcare, manufacturing, finance, a slow decision could cause huge losses, both financially and on a human level. And on the contrary, 80% of companies who used real-time data analytics saw an uplift in revenue.
Real-time insights is a cornerstone for effective data visualization. No matter how beautiful your charts are, if the information is outdated, it’s not useful. With modern visualization techniques, like real-time alerts or pop-ups, teams can take action much faster on very complex information.
The field of data visualization is changing rapidly, and as a software developer, it can be hard to keep up with all the latest trends. You need to build data-powered products, but at the same time, analytics is just one piece of the complicated product puzzle.
And it doesn’t get easier, because software users are raising the bar. They expect data insights to be:
If you’re looking to develop visualizations from scratch, matching all of these requirements, tough luck. For a faster and easier alternative, try Luzmo instead. Our flexible toolkit for analytics makes building a superior analytics experience a breeze.
With Luzmo's low-code embedded analytics platform, you can inject interactive charts and dashboards straight into your application with just a few lines of code. Use real-time data connectors and an AI-powered chart generator to give your customers the experience they desire.
And if you’re looking for even more customization, hyper-personalization, and a truly immersive experience, stay tuned for what’s coming next! Soon, Luzmo is launching a brand-new code-first analytics SDK.
Book a meeting with our product experts, and let us help you elevate your in-app data visualizations!
Experience the power of Luzmo. Talk to our product experts for a guided demo or get your hands dirty with a free 10-day trial.
