Datavisual
Datavisual is a data visualization platform founded in 2013 that simplifies the creation of charts and graphs for non-technical users.
Profile
Web-based tool for creating data visualizations without coding or design skills
Datavisual is a data visualization platform founded in 2013 that simplifies the creation of charts and graphs for non-technical users. The company offers a web-based interface with pre-designed templates, allowing teams to quickly generate visualizations for web, mobile, presentations, and print. While the company has not disclosed recent funding rounds or revenue figures, its client base includes media organizations, corporate teams, and design professionals.
The New York Daily News has publicly cited the platform as a 'game-changer' for its newsroom workflow. Datavisual's approach focuses on removing design and technical barriers, enabling users to manipulate data cell-by-cell or upload files directly. The platform's simplicity has attracted customers ranging from journalists needing rapid turnaround on breaking news graphics to enterprises managing brand-consistent visual assets at scale. As of its last public updates, the company continues to operate with a lean team, though specific headcount remains undisclosed.
Who buys this
- Newsrooms and media organizations needing rapid chart production
- Corporate teams creating internal reports and presentations
- Design agencies managing high-volume client deliverables
- Academic and research institutions visualizing findings
- Government and nonprofit communicators
Publicly disclosed clients
- New York Daily News
- Infinia Group
- The Governance Laboratory
Strengths and what to watch
Strengths
- Template library reduces design time for non-specialists
- End-to-end workflow from data import to publication-ready output
- Cited by clients for measurable workflow improvements
Watch for
- No disclosed funding since launch suggests bootstrapped operations
- Increasing competition from AI-powered visualization tools
- Limited public updates on product roadmap since early 2020s
Key Information
- Founded
- 2013
Frequently Asked Questions
What is Datavisual?
Datavisual is a web-based data visualization platform founded in 2013, designed for non-technical users to create charts and graphs without coding. It offers pre-designed templates for quick generation of visualizations across web, mobile, and print formats, serving media, corporate, and academic users with simplified design workflows.
Who uses Datavisual?
Primary users include newsrooms needing rapid chart production, corporate teams creating reports, design agencies handling client deliverables, academic researchers visualizing findings, and government communicators. Notable clients like New York Daily News cite its workflow improvements for breaking news graphics and brand-consistent visual asset management.
How does Datavisual simplify chart creation?
The platform removes technical barriers through its template library and cell-by-cell data manipulation. Users can upload files directly or work within the interface to produce publication-ready visualizations. This end-to-end workflow enables non-designers to create professional graphics without specialized skills.
What makes Datavisual different from other visualization tools?
Datavisual focuses specifically on simplicity for non-technical users rather than advanced analytics. Unlike AI-powered competitors, it emphasizes pre-designed templates and rapid output for communicators rather than data scientists. Clients report measurable workflow improvements in time-sensitive environments like newsrooms.
Can Datavisual handle large-scale business reporting?
Yes, enterprises use it for brand-consistent visual assets at scale. The platform supports corporate teams creating internal reports and presentations, with clients like Infinia Group managing high-volume deliverables. However, it lacks some advanced features of enterprise BI tools, prioritizing accessibility over complex data manipulation.
Is Datavisual suitable for academic research visualizations?
Academic institutions use it to simplify findings presentation. The platform's template library helps researchers quickly convert data into publishable charts without design expertise. While not replacing statistical software, it bridges the gap between raw data and presentation-ready visuals for papers, conferences, and public communication.
Sources
- datavisu.al — Product capabilities and client testimonials
- techcrunch.com — Competitive landscape context
- www.sec.gov — Indirect market context through competitor filings
- www.prnewswire.com — Industry trends in data visualization