Frequently Asked Questions

Are you a consultant, or do you deliver working software?

Both — and that’s the nice part.
I work as a consultant, but instead of stopping at advice or presentations, I usually deliver a fully working proof-of-concept. You get a real, integrable prototype that demonstrates the core idea — including the visualization, interaction, scalability, and technical feasibility.

You also receive the full source code and IP.
That means you own it: you can integrate it into your system, extend it internally, or even license it onward — with no restrictions.

What is visual analytics?

Visual analytics combines interactive data visualization, computational analysis, and human reasoning to help experts explore complex datasets, discover patterns, and make informed decisions. Unlike static charts or dashboards, visual analytics emphasizes interaction, exploration, and analytical thinking.

How is visual analytics different from dashboards or BI tools?

Dashboards focus on monitoring predefined metrics, while visual analytics supports open-ended exploration. Visual analytics tools allow users to zoom, filter, cluster, compare, and interact with data to ask new questions, not just view predefined answers. Dashboards aim at conveying information, whereas visual analytics uses information visualization and interaction to extract information and analytics.

When should I use visual analytics instead of traditional data visualization?

Use visual analytics when:

  • The data is large, complex, or multidimensional

  • Questions are not fully known in advance

  • Expert judgment and interpretation matter

  • Patterns, anomalies, or relationships must be discovered, not just displayed

What services does VisualAnalytics provide?

VisualAnalytics designs and develops custom interactive visual analytics systems, including:

  • Network and graph visualizations

  • Matrix and comparison views

  • Spatial and geospatial analytics (2D & 3D)

  • Large-scale data exploration tools

  • Domain-specific analytical interfaces

Do you build off-the-shelf dashboards?

No. VisualAnalytics specializes in bespoke analytical interfaces, not generic dashboards. Each system is tailored to the data, domain, and analytical tasks of the client.

Can you work with existing data infrastructure?

Yes. VisualAnalytics integrates with existing data pipelines, APIs, databases, and analytics systems. The focus is on mapping data to visuals, not restructuring your backend.

What industries benefit most from visual analytics?

Visual analytics is especially valuable in:

  • Healthcare and medical research

  • Defense and security

  • Transportation and mobility

  • Urban planning and smart cities

  • Finance and risk analysis

  • and, of course, cyber security

  • but, also many others!


Is visual analytics suitable for geospatial or map-based data?

Absolutely. Visual analytics excels at spatial and spatiotemporal data, combining maps with charts, networks, matrices, and interactive filters to support deep geographic analysis.

Do you support 3D visualizations?

Yes — when appropriate.
VisualAnalytics carefully evaluates when 3D adds analytical value and avoids unnecessary 3D where it harms perception or accuracy.

How do you design a visual analytics system?

That is the $1million question… The process typically includes:

  1. Understanding analytical tasks and decision goals

  2. Studying data structure and scale

  3. Selecting appropriate visual encodings

  4. Designing interaction and exploration mechanisms

  5. Iterative testing with domain experts

Is visual analytics suitable for large datasets?

Yes. VisualAnalytics specializes in scalable techniques, including aggregation, sampling, clustering, semantic zooming, and progressive rendering to handle large and complex datasets.

Do you follow academic research or best practices?

Yes. VisualAnalytics is grounded in visualization research, cognitive principles, and established design frameworks, translating theory into practical, usable systems.

Is visual analytics only for data scientists?

No. Visual analytics is designed for domain experts — doctors, analysts, planners, engineers — enabling them to explore data without writing code.

How long does a typical project take?

Project duration depends on scope and complexity.
Typical engagements range from short exploratory prototypes to long-term analytical platforms.

Can visual analytics support decision-making?

Yes. Visual analytics is explicitly designed to support reasoning, comparison, and decision-making, especially in high-stakes or complex environments.