Trends In Data Visualization
The following trends in data visualization reflect the general
move toward use-case optimized visual experiences and the
accessibility of data visualization across both devices and
industries.
1. Emergence of High-Fidelity Digital Twins
Digital twins are virtual models of physical objects/systems
created by pulling in data streams related to the physical asset
in question (e.g., telemetry from onboard sensors monitoring
temperature, vibration level, etc.). This enables the remote
monitoring of performance and health/condition parameters,
allowing for physical assets to be analyzed and assessed from
afar.
In the past, these digital models were presented to users in the
form of interactive dashboards and continuously updated metrics.
Newer offerings such as Oracle’s IoT Asset Monitoring Platform
and Microsoft Azure Digital Twins integrate data streams with
3D asset models for truly high-fidelity digital twins — the
ultimate in data visualization.
2. More Powerful JavaScript Visualizations
With software as a service (SaaS) being today’s preferred way to
consume software, web front ends are the primary interfaces
between applications and users. In this space, technologies like
Flash and Java have all but died out, while JavaScript continues
to reign supreme. These days, popular JavaScript frameworks
such as Vue.js, React.js, and Angular.js are used to streamline
the development of complex front-end visualizations, while
specialized frameworks like Three.js and Babylon.js add 3D and
immersive reality to JavaScript-based data visualization.
3. Verticalized Data Visualization Offerings
As traditional industries undergo digitization, data visualization
will become more specialized to the needs of specific industry
audiences. For example, data visualization in shipping and
maritime is enabling ship owners/operators to improve vessel
performance and monitor safety and operational conditions.
Similarly, the automotive industry is using data visualization to
optimize vehicle product development workflows.
4. Data Visualization Optimized for Mobile
With over half of total page views in 2020 occurring on phones
and handheld devices, site operators have been well-advised to
focus on mobile in their user experience optimization and
improvement efforts. Enterprise SaaS offerings and business
software platforms are following suit by taking a mobile-first
approach to data visualization. That is, they are prioritizing their
data visualization and widget designs for optimal viewing on the
small screen. For example, the mobile version of Salesforce
offers a feed-first design, mobile-enhanced dashboards/reports,
and a flexible “Component Visibility Rules” feature for defining
which data visualization components are displayed on mobile
devices.
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