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Leading the shift from self-service
to prompt-generated BI

The self-service era asked everyone to become a dashboard builder. The next era is different: describe what you need and get a trusted answer. TURBOARD is built for that transition — and for the enterprises that need it to work at scale.

See TURBOARD in action

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Why BI still matters

AI without BI is just guessing

GenAI does not replace business intelligence — it makes it more critical than ever.

01

AI can’t function without governed data

ChatGPT can’t query your ERP. LLMs hallucinate without structured context. Enterprise AI needs clean, governed data layers — exactly what a BI platform provides. No BI foundation, no reliable AI.

02

No audit trail, no accountability

When a decision costs millions, “the AI said so” is not an answer. Regulators, boards and auditors require lineage, version control and reproducible calculations. BI platforms provide them.

03

Individual tools don’t scale

One analyst can prompt ChatGPT. A thousand users across departments need consistent definitions and a single source of truth. Without BI, you get a thousand different answers.

04

AI amplifies BI — it doesn’t replace it

Every AI success story runs on structured data infrastructure. Prompt-generated analytics, automated insights and intelligent alerts are all built on BI foundations.

Beyond “we have a BI tool”

Many organizations have BI software in their stack — bundled in enterprise agreements, deployed years ago, technically available. But availability isn’t adoption, and dashboards aren’t decisions. TURBOARD is built for organizations ready to move from having BI to using it.

Design philosophy

What guides every product decision

Liberate your data

One platform for all data needs. No connector surcharges and no “premium tier” surprises: pricing is transparent, so you know upfront what the platform, JAS and any add-on modules will cost.

Answers, not dashboard homework

Business users describe what they need; JAS builds the analysis from governed definitions. Analysts keep full control of the model underneath.

Built for real usage

We optimize for adoption and daily active use, not deployment counts. 500K+ business users work in TURBOARD today.

Proven at scale

Tested where the load is real

Scale claims are easy to make and hard to prove. Ours come from production.

500K+business users across our installations
200K+named users in a single installation
900+concurrent users at monthly peaks, via corporate SSO
79%of large pharma use our engine through PharmaCircle
Patentedtechnology, including a granted US patent
2004enterprise BI since, founded in Chicago

Month-end, every month

On a national Ministry of Health platform, concurrent usage passes 900 users on the first and last days of every month — the reporting peaks when everyone logs in at once. Every session authenticates through corporate single sign-on, and permissions are enforced per user, per row.

How TURBOARD keeps its performance on top →
Visual depth

One chart type. Many stories.

TURBOARD’s 19 main chart types are only the starting point. The depth comes from the flexible settings built into each one: a single chart type can be reshaped into entirely different visuals that tell your data’s story clearly and beautifully — infographic-level design control, with no custom code.

One example: the pie chart

Pie → parliament chart

Turn a pie into a parliament (hemicycle) chart: set the arc angle and the number of seats, and every dot stays bound to your data.

Pie → Nightingale rose

Switch the same pie to a Nightingale rose, where radius carries the value — ideal for seasonal and cyclical patterns.

Pie → donut with a live image

Open the pie into a donut, set the ring width, and place an image in its centre that changes with the active filters — a product, a region, a brand.

That is one chart type. Every chart type in TURBOARD comes with this kind of depth.

Shipped monthly, driven by customers

We listen closely to client requests and ship them in monthly releases. Many enterprise BI platforms release on quarterly cycles; our record is public.

See what we delivered this month →
Where TURBOARD makes sense

Built for organizations that want real value from their data

Wide user base, not just analysts

When BI must reach operations, sales and managers — hundreds or thousands of people, not only a central data team. Pricing that rewards adoption instead of punishing it.

Data sovereignty requirements

Full on-premise deployment — including the AI — plus hybrid options and private LLM support. Your data stays where regulation or policy requires.

A vendor partner, not just software

Support by BI professionals who know your setup, with our engineering team one step behind them. Feature requests that actually get built. A company small enough to care, large enough to deliver.

One platform, GenAI-first

Reporting, dashboards, advanced analytics and prompt-generated insight — without assembling a fragmented stack or paying extra for what is “premium” elsewhere.

“Our previous BI had 40% monthly active users. After switching to TURBOARD, we’re at 78%. The difference is people actually finding answers instead of requesting reports.”
BI Program Manager · Retail company, 1,800+ BI users
Questions we often hear

What evaluators ask during selection

“We already have Power BI included in our Microsoft license.”

“Included” often means basic licenses buried in an enterprise agreement — not deployment readiness. When organizations move from having a BI tool to using it at scale, they meet premium capacity costs, per-user upgrades and support tiers. Even with Premium subscriptions, support tickets can take weeks to resolve. TURBOARD’s pricing is transparent upfront, and support comes directly from BI professionals who know your setup.

Read more →
“What’s the real total cost of ownership?”

Ask every vendor to quote your actual use case: user count, features, deployment model and support expectations. “Free” or “included” BI often costs more than transparent pricing once capacity fees, premium features, connector licenses and adequate support are added. We are happy to build a side-by-side TCO comparison with you.

“Tableau has the biggest community. What about support?”

Tableau and Power BI do have larger communities, and they are great for forums and tutorials. But when something breaks at 2 a.m., you need direct vendor support, not a forum thread. Ours is direct vendor support, handled by BI professionals who know your setup.

Read more →
“We’re looking at open-source options like Superset.”

Apache Superset is free to download, but “free” has hidden costs: your engineers’ time for deployment, upgrades, security patches and troubleshooting. Superset has no GenAI assistant embedded in the product. Its community is building an MCP connector that lets other AI tools show Superset visuals — useful, but far from an agent like JAS working inside the BI platform itself. With TURBOARD, JAS is built into the platform, and support and ongoing maintenance come from the vendor, not from your own engineers.

Read more →
“How do we know TURBOARD can scale for our organization?”

500K+ business users across our customer base. Single installations with 200K+ named users, and 900+ concurrent users at monthly peaks on a national Ministry of Health platform, all through corporate SSO. Through PharmaCircle, 79% of large pharma companies use our visualization engine. Twenty years of enterprise deployments across healthcare, finance, retail, manufacturing and the public sector.

Read more →
“Can our data — and the AI — stay on-premise?”

Yes. TURBOARD runs fully on-premise, including JAS with offline models, so no data leaves your environment. Hybrid and cloud deployments are available too, and you can swap LLM providers at any time.

Read more →
“We haven’t heard of TURBOARD as often as the big names.”

We have invested in product over marketing. Our proof points: 500K+ business users, 79% of large pharma through PharmaCircle, patented technology including a granted US patent, and more than twenty years in operation since our founding in Chicago in 2004.

“Is there a native mobile app?”

Yes — native apps on both iOS and Android, plus white-label and embedded options for custom-branded experiences.

Detailed platform comparisons

In-depth analysis for each alternative

TURBOARD vs Tableau Tableau

Tableau is known for visual polish; the move to TURBOARD usually centres on licensing flexibility and removing technical hurdles in complex data environments.

Read comparison →

TURBOARD vs Power BI Power BI

The hidden costs of Microsoft’s ecosystem: why users move away from complex DAX and “included” license limits toward a streamlined, high-engagement platform.

Read comparison →

TURBOARD vs IBM Cognos IBM Cognos

How a modern architecture stands up against a legacy suite — ease of deployment, reporting speed and the path to modernization.

Read comparison →

TURBOARD vs OBIEE OBIEE

Replacing traditional Oracle BI: from rigid, analyst-heavy workflows to a dynamic, user-centric environment built for current data demands.

Read comparison →

TURBOARD vs Crystal Reports Crystal Reports

Legacy reporting traps data in static formats. Migrating to reports that are interactive, automated and accessible to non-technical users.

Read comparison →

TURBOARD vs MicroStrategy MicroStrategy

On-premise roadmap continuity, Oracle-aware query execution, hybrid data architecture, modern visualization and AI availability — without choosing between database-level performance and a modern BI experience.

Read comparison →

TURBOARD vs Qlik Sense Qlik Sense

Qlik’s in-memory architecture versus TURBOARD’s hybrid of live connectivity, columnar storage and intelligent caching — as data volumes, concurrency and memory needs grow.

Read comparison →

TURBOARD vs Apache Superset Apache Superset

A supported, business-ready platform versus a developer-oriented open-source stack: implementation effort, maintenance, adoption, security, TCO and native GenAI.

Read comparison →
Quick reference

Key capabilities at a glance

CapabilityTURBOARDPower BITableauQlikSuperset
Learning curveModerate, eased by JAS promptsModerate (DAX for advanced)Moderate – highHighHigh (SQL required)
GenAI assistantJAS, built into the platformCopilotTableau Agent (premium)Insight Advisor / Qlik AnswersNone built in (MCP connector in development)
DeploymentCloud, on-premise, hybridCloud-firstCloud-firstCloud, on-premiseSelf-hosted
Support modelDedicated BI professionalsTiered, slow resolutionTieredTieredCommunity only
Community sizeGrowingVery largeVery largeLargeActive open source
Custom / on-prem LLMYes — including on-prem LLMs; data never leaves your environmentNo (Microsoft AI only)No (Salesforce AI only)No (Qlik AI only)No native GenAI
MobileNative iOS & Android + white-label / embeddedNative iOS & AndroidNative iOS & AndroidNative iOS & AndroidResponsive web only
Pricing modelTransparent per-user“Included” + hidden costsPer-user tiersCapacity-basedFree (self-managed)

✽ Based on publicly available information as of late 2026. Features evolve — verify with each vendor.

Where the industry is heading

The shift to prompt-generated BI

2015 – 2024Self-service era
→
2024 +Prompt-generated era

The self-service promise was “everyone can build dashboards.” The reality: most people don’t want to. The next era removes that friction — describe what you need, get the analysis. We are betting our roadmap on this shift.

TURBOARD GenAI assistantExample
“Show me regional sales trends for Q4.”
1.2 secWest Region shows 23% growth over the last two months, leading all regions.

TURBOARD

JAS — GenAI assistant
  • Full dashboard creation from prompts
  • Multi-step conversational refinement
  • SQL generation with validation
  • 4+ LLM providers, swap at any time
  • On-prem LLM: your data never leaves your environment
  • Production-ready, built into the platform

Power BI

Copilot
  • Report page suggestions
  • Natural-language Q&A
  • DAX formula assistance
  • Microsoft AI only

Tableau

Tableau Agent
  • Visualization suggestions
  • Calculation assistance
  • Salesforce AI integration
  • Premium tier required

Superset

No built-in GenAI
  • No GenAI assistant in the product
  • MCP connector in development: serves Superset visuals inside other AI tools
  • Not an agent like JAS embedded in the BI platform
  • Self-hosted Superset: SQL editor only

Bring one real business question. See how TURBOARD answers it.

We demonstrate JAS against your reports, your definitions and your security context — not a generic sample database.

Are you curious?