Meet INFOFISCUS Conversa™: A Conversational Analytics Platform
Ask questions. Analyze data. Get AI-powered insights instantly.
INFOFISCUS Conversa™ is an enterprise conversational analytics and no-code decision intelligence platform that enables executives, operational managers, and analysts to chat with their data and get AI-driven insights instantly. Powered by state-of-the-art LLMs and a domain-aware semantic layer, it leverages advanced natural language analytics to translate complex business questions into optimized SQL queries that run on live data warehouses—delivering deep, domain-aware insights, root cause analysis, key drivers, KPIs, and visualizations. By eliminating dashboards, SQL, and manual analysis, INFOFISCUS Conversa™ reduces analyst dependency and accelerates faster, AI-driven decision making at scale.
The Problem
80% of business questions never get answered in time because…
Reports only show predefined metrics and lack deep insights or root cause analysis
Decision-makers must wait for analysts to interpret and deliver answers
INFOFISCUS Conversa Conversational Analytics Platform Capabilities
Natural Language to SQL Engine
INFOFISCUS Conversa’s natural language to SQL engine is not just a translator—it is domain-aware. It understands line-of-business terminology, KPIs, and business logic, and converts complex business questions into optimized SQL queries on live data. By combining advanced natural language analytics with a semantic layer, it delivers accurate, context-rich insights without requiring users to write SQL—reducing analyst dependency and accelerating decision-making.
Multi-Model AI Analytics Engine
INFOFISCUS Conversa supports multiple advanced AI models including Snowflake Cortex Agent, OpenAI, Gemini, and Claude. Organizations can choose the best model for reasoning, document search, or numerical analysis. This flexible AI layer improves accuracy, reduces manual analysis work, and helps maintain leaner data operations.
Advanced Analytics
INFOFISCUS Conversa enhances conversational analytics with advanced, LLM-driven analysis on enterprise data. It not only answers questions but also uncovers patterns, identifies key drivers, and delivers deeper insights with business context. This enables users to move beyond basic reporting to more informed, data-driven decisions.
AI-Powered Document Intelligence
INFOFISCUS Conversa allows users to ask questions across documents as easily as querying data. Its semantic search engine retrieves insights from PDFs, contracts, manuals, and knowledge bases. This unifies structured and unstructured information, helping teams find answers faster while simplifying tools and reducing manual research effort.
Semantic Layer for Trusted Data
INFOFISCUS Conversa’s semantic layer creates a unified, domain-aware view by mapping business terms, KPIs, and relationships to underlying data sources. It ensures every question is interpreted in the right business context with consistent definitions, enabling users to ask in business language and receive accurate, trusted insights
Enterprise Security and Governance
INFOFISCUS Conversa operates directly on enterprise cloud data warehouses with strict governance controls. Features like single sign-on, role-based access, encryption, and detailed audit trails ensure secure access to authorized data. Queries run without moving data, supporting compliance while keeping enterprise data infrastructure streamlined.
Native Desktop Application for macOS and Windows
INFOFISCUS Conversa is available as a native desktop application for both macOS and Windows, giving executives and enterprise teams a fast, secure environment to interact with data. The dedicated desktop experience ensures high performance, secure access, and seamless conversational analysis. It enables users to access insights efficiently across devices with a consistent and reliable experience.
Cost Optimization & Accelerated Insights
INFOFISCUS Conversa streamlines analytics by reducing the need for dedicated resources to build and manage reports while eliminating reporting backlogs. By enabling instant answers to domain-specific questions, it shortens the cycle from question to insight, drives faster decisions, and delivers AI-powered analytics with optimized cost and effort.
INFOFISCUS Conversa: An Enterprise-Ready Conversational Analytics Platform
Faster time-to-insight with natural language data queries
Reduction in analyst workload for ad-hoc data questions
Faster decision-making with real-time enterprise data insights
Industry Use Cases
Conversational Analytics for Finance (FP&A)
INFOFISCUS Conversa enables FP&A teams to ask complex financial questions in natural language and instantly access insights on revenue, costs, margins, and variances.
Ask “What is our current AR aging summary / report?”, “Why did receivables increase this quarter?”, or “Which customers drive overdue risk?” to uncover root causes.
It helps accelerate close cycles, improve forecasting, and support faster, data-driven decisions with real-time visibility, control, and proactive financial intelligence across the organization.
Conversational Analytics for Sales
Sales teams use INFOFISCUS Conversa to analyze pipeline performance, revenue trends, and quota attainment using simple, natural language questions.
Ask “Which sales channel generated the highest revenue in 2024 compared with 2025 across the US?” or “Which regions exceeded targets this month?” INFOFISCUS Conversa delivers instant insights with charts and clear explanations.
This enables leaders to track performance, identify top teams, uncover trends, and adjust strategies quickly without relying on manual reports or delayed analytics.
Conversational Analytics for Operations
Operations leaders can monitor production, supply chain performance, and operational metrics through conversational queries.
Questions like “Show supplier lead times,” or “What is reducing doctor utilization the most?” return instant insights and root cause analysis.INFOFISCUS Conversa helps teams identify bottlenecks, track inventory movement, and respond quickly to disruptions.
This enables faster, more efficient operational decision-making across the organization. It improves visibility and control over processes, allowing teams to stay informed and act with confidence.
Conversational Analytics for Marketing
Marketing teams can evaluate campaign performance and channel impact through natural language questions.
For example, “Can you perform the Market Basket Analysis?” or “How did website traffic change after the product launch?” INFOFISCUS Conversa instantly produces trend analysis, performance comparisons, and insights across channels.
It helps marketing leaders optimize campaigns and understand audience behavior without manual reporting workflows or delays. This enables faster decisions and better budget allocation across initiatives with measurable business impact and growth.
Conversational Analytics for HR
HR teams use INFOFISCUS Conversa to analyze workforce data, employee performance, and engagement trends through simple, natural language questions.
Ask “Is staffing increasing with patient demand?”, “Which departments are understaffed?”, or “How does patient volume impact staff utilization?” to get instant insights.
INFOFISCUS Conversa highlights demand fluctuations, uncovers workforce gaps, and aligns staffing with demand. This enables data-driven hiring, improves efficiency, and supports faster, smarter workforce decisions across the organization.
Who Should Use INFOFISCUS Conversa Conversational Analytics Platform
Conversational analytics for CIO and Chief Data Leaders
CIOs and Chief Data Officers use INFOFISCUS Conversa to deliver secure, organization-wide access to enterprise data without expanding complex tooling. By enabling teams to ask questions directly, they can simplify data architectures, maintain governance, and reduce dependence on analyst-driven workflows.
INFOFISCUS Conversa helps technology leaders scale data access across departments while maintaining control, compliance, and a leaner, more efficient data ecosystem.
Conversational analytics for VP of Analytics and Data Leaders
Analytics leaders use INFOFISCUS Conversa to accelerate insight delivery while maintaining consistent data definitions and governance. By enabling conversational access to enterprise data, they can reduce the volume of routine analysis requests handled by analysts.
This allows teams to focus on strategic analytics initiatives, advanced modeling, and improving data quality while still empowering the wider organization with fast insights.
Conversational anlaytics for Business Leaders and Operational Managers
Business leaders across finance, sales, marketing, and operations can interact with enterprise data using simple questions. Instead of waiting for reports, they can instantly explore trends, performance metrics, and operational drivers.
INFOFISCUS Conversa empowers managers to make informed decisions quickly, investigate changes in performance, and access insights independently without requiring technical skills or analyst assistance.
Conversational analytics for Data Analysts and Data Engineers
Data analysts and engineers use INFOFISCUS Conversa to reduce repetitive query workloads and focus on higher-value initiatives. Routine data questions from business teams are handled through conversational queries, freeing analysts to work on deeper analysis, data modeling, and advanced analytics.
Engineers can concentrate on improving data pipelines, architecture, and quality while maintaining a streamlined data environment.
Conversational analytics for Executives and Board Members
Executives use INFOFISCUS Conversa to quickly understand key trends, risks, and performance indicators across the organization. By asking high-level questions in natural language, leaders receive concise insights, summaries, and visualizations instantly.
This allows them to evaluate performance, monitor strategic goals, and make faster decisions without relying on multiple reports or technical intermediaries.
Ready to unlock instant data insights?
Book a demo or request a trial of INFOFISCUS Conversa™ today, and see how AI-powered conversation can transform decision-making in your enterprise.
INFOFISCUS Conversa – The Conversational Analytics Application for the Modern Enterprise
Infometry Trusted by 150+ Customers Worldwide
Frequently Asked Questions
It’s an AI-driven analytics system that lets users ask data questions in everyday language and immediately get governed answers. Unlike legacy BI tools, it dynamically interprets intent and translates queries into live SQL, so no dashboards or manual coding are needed.
It uses natural language processing and AI to understand your question (including context and follow-ups). It then generates an optimized query against the semantic data model and runs it on your connected databases. The results are returned as charts, numbers, and clear text summaries. Enterprise controls (role-based access, audit logs) are applied at each step to ensure security and compliance.
Yes. Conversa is designed for enterprise security. It uses your existing security frameworks (SSO, database credentials, firewall rules) and adds strict governance. Queries execute on your own cloud warehouse, using its encryption and access controls. Infometry also assists with setting up row-level security and semantic policies to ensure users see only the data they should.
Conversa connects to all major modern data platforms. This includes Snowflake, Google BigQuery, Amazon Redshift, Microsoft Azure Synapse (SQL Data Warehouse), Oracle, PostgreSQL, SQL Server, and more. Any structured data in your cloud or hybrid warehouse can be queried conversationally.
Yes. Conversational analytics is designed to handle complex business questions by converting natural language into precise data queries. Users can ask multi-step, business-specific questions and receive answers grounded in live enterprise data.
It ensures data governance by working within approved data sources, certified metrics, and controlled business definitions. This helps teams maintain consistency, trust, and alignment with enterprise data standards.
Yes. Conversational analytics respects role-based access so users only see the data they are authorized to view. Access controls remain aligned with enterprise security and permission policies.
Implementation time depends on your data environment, number of sources, and governance requirements. In many enterprise cases, deployment can be completed much faster than traditional analytics projects because it connects to existing data systems instead of requiring a full rebuild.
Some level of semantic modeling is usually recommended to define trusted metrics, business terms, and relationships. This helps ensure users get accurate, consistent answers in plain language.
Yes. Conversational analytics can scale to support large, complex enterprise data environments when it is built on a modern warehouse and governed semantic layer. It is designed for growing data volumes and business usage.
Not entirely. Conversational analytics complements dashboards by making it easier to ask ad hoc questions and explore data interactively. Dashboards are still useful for recurring monitoring, while conversational analytics is ideal for investigation and faster decision-making.
It handles ambiguity by asking follow-up questions, using business context, and interpreting terms through the semantic layer. This helps reduce confusion and improves answer accuracy.
Yes, it can support predictive insights when connected to the right data, models, and forecasting logic. It can help users uncover trends, spot patterns, and explore likely future outcomes.
It integrates directly with modern data warehouses to query live data where it already resides. This enables fast, governed access to enterprise information without duplicating data unnecessarily.
INFOFISCUS Conversa is built for enterprise conversational analytics with a strong focus on governance, trust, and usability. It combines natural language queries, direct warehouse access, role-based security, and business-friendly answers in one platform.
Conversa improves data accuracy by relying on governed data sources, trusted metrics, and semantic understanding of business terms. This reduces inconsistent reporting and helps users get answers they can rely on.
Yes. Conversa can complement existing BI tools by adding a conversational layer on top of your current analytics stack. This allows teams to keep their existing dashboards while making ad hoc analysis easier and faster.
Conversa can often be deployed quickly because it connects to your existing warehouse and data ecosystem. Actual timelines depend on your data setup, security requirements, and the scope of use cases.
