Understand Data, Not Just Display It

Standard charts fall short when data is complex: network relationships between thousands of nodes, geographic distributions with multiple data layers, temporal developments with anomaly detection, or narrative data stories for investor presentations. Elasticbrains builds custom visualizations that show precisely what your data actually means.

Datenvisualisierung Custom Charts

Visualization Is Not the Same as a Dashboard

Data visualization and dashboard building are two distinct disciplines. A dashboard aggregates KPIs that a user monitors regularly. A visualization explains a complex data structure so it becomes understandable even without prior knowledge. We cover both, but focus here on the art of visualization:

  • Structural Complexity

    Network graphs, hierarchies and connections that cannot be represented with bar or line charts

  • Spatial Dimensions

    Geo visualizations with heatmaps, choropleth maps, route networks or 3D terrain data

  • Temporal Narratives

    Animated time series that explain developments rather than just showing them, including interactive jump points

  • Data Storytelling

    Scrollytelling formats and interactive reports for marketing decks, investor pitches and ESG reports

Typical Use Cases

These projects arise when standard chart libraries reach their limits:

Investor Relations with Live Data

Animated visualizations of revenue development, market shares and growth forecasts, loaded directly from your data source, for pitch decks or investor portals

Supply Chain Analysis as Network Graph

Supplier relationships, dependencies and risk zones are displayed as an interactive graph - searchable, filterable and exportable

ESG Transparency Reports

Carbon footprint, site data and sustainability metrics as cartographic overlay visualizations with temporal animation

Scientific Data Analysis

High-dimensional data points as scatter matrices or t-SNE projections, interactively explorable and annotatable

Marketing Reports with Storytelling

Campaign performance data prepared as a scrollable story, with contextual explanations and automated comparison points

Technologies for Custom Visualizations

We choose the library based on the use case, not preference:

D3.jsObservable PlotApache EChartsPlotlyMapbox GL JSLeaflet.jsdeck.glSigma.jsCytoscape.jsThree.jsVega-LiteVue 3TypeScriptWebGL

Our Approach to Visualization Projects

  1. Data Structure Analysis: We analyze your raw data: what relationships, dimensions and time axes are present? What questions should the visualization answer?
  2. Visualization Concept: We develop sketches and chart types that match the data structure. Which interactions make sense? Where are animations needed?
  3. Data Pipeline: We clarify how data will be loaded: REST API, GraphQL, direct database connection or static files. Preprocessing steps are defined.
  4. Prototype: A working prototype with real or structurally identical test data is created and iterated with you.
  5. Interactivity and Responsiveness: Zoom, pan, filter, tooltips and export functions are implemented. Mobile fallbacks for complex visualizations are defined.
  6. Integration and Performance: The visualization is integrated into your existing infrastructure. Performance optimizations for large datasets (Canvas, WebGL, virtualization) are implemented.

Frequently Asked Questions About Data Visualization

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