Nextgen business intelligence
without replacing what already works

Modern BI isn't just about building more dashboards. TO THE NEW helps enterprises improve reporting, strengthen semantic foundations, and introduce conversational and agentic analytics while building on the BI investments already in place.
  • Warehouse-preserving approach
  • Stack-agnostic BI and LLM-on-BI expertise
  • Built for business adoption
  • Dedicated BI specialists

BUSINESS SCENARIO

Is your BI investment falling short of its potential?

Enterprise BI investments can become harder to scale as dashboards multiply, usage falls, and performance declines. At the same time, teams exploring conversational or agentic analytics need a semantic layer and BI foundation that can support the next stage of adoption.

Dashboard sprawl and low adoption: Business users ask the same questions repeatedly while teams maintain dashboards and reports that see little use.

Slow BI performance: Dashboards take longer to load, extract refreshes run for hours, and reports arrive late.

Conversational analytics outpacing the foundation: Teams want natural-language queries and LLM-on-BI capabilities such as Genie, Copilot, Tableau Pulse, or RAG-on-SQL, but need a clear path to production.

WHAT WE DO

Business intelligence built around how your organization makes decisions

TO THE NEW helps enterprises modernize business intelligence without replacing existing warehouse and BI investments. Whether you're improving reporting, enabling self-service analytics, strengthening the semantic layer, or introducing conversational and agentic BI, our approach is tailored to your business needs—not a preferred technology stack.

Organizations can adopt a complete BI modernization approach or focus on individual capabilities:

  • Enterprise reporting & dashboards
  • Self-service BI platforms
  • Semantic layer
  • Embedded analytics & data products
  • Conversational analytics
  • Agentic BI workflows

WHY TO THE NEW

Modernize BI without disrupting your analytics foundation

Many BI modernization initiatives focus on replacing technology. TO THE NEW helps enterprises improve analytics adoption, performance, and conversational capabilities while building on the warehouse and BI investments already in place.
Traditional approachTO THE NEW approach
Replace the existing BI platformExtend existing warehouse and BI investments
Focus on dashboards aloneStrengthen reporting, semantic layers, and conversational analytics together
Vendor-led platform recommendationsStack-agnostic delivery across BI and LLM-on-BI platforms
Success measured by deploymentSuccess measured by business adoption

FAQS

Your questions, answered.

What is AI-powered decisioning?

AI-powered decisioning brings traditional BI together with conversational and agentic analytics to support how users access and act on business data.

What is conversational analytics?

Conversational analytics allows users to query and explore data using natural language, including through LLM-on-BI approaches.

Can we introduce conversational BI without replacing our existing BI stack?

Yes. TO THE NEW follows a warehouse-preserving approach, allowing organizations to build conversational and agentic capabilities around their existing BI and data investments.

Which BI platforms and LLM-on-BI engines does TO THE NEW work with?

The approach is stack-agnostic across Tableau, Power BI, Qlik, ThoughtSpot, Genie, Copilot, Tableau Pulse, and RAG-on-SQL.

Why is the semantic layer important for conversational BI?

The semantic layer provides the discipline and foundation needed to support consistent analytics experiences as organizations move toward conversational and agentic BI.

Can traditional BI and conversational analytics coexist?

Yes. Organizations can use traditional reporting and self-service BI where they fit, while introducing conversational or agentic layers where they add value.

What BI capabilities does TO THE NEW provide?

Capabilities include enterprise reporting and dashboards, self-service BI platforms, semantic layer, embedded analytics and data products, conversational analytics, and agentic BI workflows.