Faster Insights
Reduce analyst backlogs and empower your teams to make faster, data-driven decisions.
Unlock Faster Insights with Gen AI in Business Intelligence
Our platform uses GenAI agents to deliver instant insights, automate dashboards, and answer data questions, all within your enterprise governance framework.
Ask data questions
Automated KPI insights
Governed AI analytics
Automate Your BI
Workflows with Gen AI:
Connect your data sources, interpret complex metrics, and generate instant narratives to significantly reduce your organization's time-to-insight and clear analyst backlogs.
Ask Anything
Get trusted answers by asking questions in plain English, backed by governed metrics.
Automated Dashboards
Automatically create and update dashboards, monitor key performance indicators, and generate narratives.
Data Governance
Ensure full trust with data lineage, user permissions, and consistent definitions.
Find Anomalies
Automatically detect important business anomalies and surface their underlying drivers.
Retail
Retail
Solve your biggest BI challenges, from slow reporting cycles to low user adoption, with practical, AI-driven applications that deliver immediate business value.
Natural Language Q&A
Ask 'why' about your sales KPIs and get immediate, accurate answers.
Anomaly Detection
Receive alerts when customer churn spikes and understand the root causes instantly.
Narrative Reporting
Generate automated weekly performance summaries for executive review, saving hours of manual work.
Lyzr turns your complex retail data into clear business narratives and actionable insights for everyone.
Benefits of Gen AI in
business intelligence
Faster Time-to-Insight
Move from data requests to strategic decisions in minutes, not weeks or months.
Increased BI Adoption
Empower non-technical users with self-service analytics, boosting platform engagement and ROI.
Consistent Metric Truth
Eliminate data silos by ensuring everyone works from a single, governed source of truth.
Lower Reporting Costs
Reduce manual effort spent on building and maintaining endless dashboards.
An Enterprise-Grade
AI Platform
Lyzr connects to your data, understands your business logic, and takes safe actions to generate trusted answers, dashboards, and reports.
Source Connectors
Securely plug into your existing data warehouses, databases, and BI tools.
Semantic Metric Layer
Define your KPIs and business logic once to ensure consistent, accurate answers everywhere.
Natural Language Query
Our interface translates plain English questions into precise queries against your governed data.
Insight Automation Engine
Proactively monitors your data for anomalies and automatically surfaces critical business insights.
Governance Controls
Maintain full control with role-based access, audit trails, and data governance.
How Does Lyzr Gen AI
for BI Compare?
| Feature | Traditional BI | Generic AI Tools | Lyzr |
|---|---|---|---|
| Natural Language Q&A | Rigid filters | Ungoverned answers | Governed, precise answers |
| Semantic Integration | Manual definitions | No metric context | Uses existing layer |
| Anomaly Detection | Requires manual setup | Unreliable results | Automated and contextual |
| Automation | Manual dashboard builds | Lacks data context | Automated KPI narratives |
| Data Governance | Siloed permissions | No data controls | Integrated access controls |
| Automated Insight Discovery | Analyst-dependent | Generic observations | Proactive business insights |
| KPI Monitoring Alerts | Static threshold alerts | No alerting feature | Dynamic, intelligent alerts |
| Data Storytelling | Static text boxes | Generic text summaries | Automated data narratives |
| Audit Trail Output | Limited usage logs | No auditability | Full query and usage logs |
| Enterprise Scale | Performance issues | Not built for scale | Scales with your data |
Built for the Modern
Data Stack
Enterprise Security
Deploy in your cloud with enterprise-grade security controls.
Governed Outputs
Ensure every insight and answer is accurate, compliant, and fully auditable.
Fast Implementation
Connect to your existing BI tools and data sources for a rapid, seamless deployment.
Scalability
Our architecture is built to handle complex queries across massive datasets effortlessly.
Trusted by Leading
Retail Enterprises
Leading retail and SaaS companies trust Lyzr to power their business intelligence, driving faster decisions and higher BI adoption across their organizations.
Lyzr has transformed our BI workflow. Instead of waiting weeks for dashboard updates, our marketing teams can now ask questions about campaign performance and get governed, trustworthy answers in seconds. This has massively accelerated our decision-making and improved our trust in the data.
Director, BI · Fortune 500 Retailer
Zero
Data exfiltration incidents
Deploy Governed Gen AI
in 4 Steps
Connect Data
Securely hook into your data warehouse with permissions intact.
Define Metrics
Map your business logic and KPIs to our semantic layer.
Pilot Use Case
Launch NL Q&A for your executive team to prove value quickly.
Scale and Govern
Expand access with full governance, monitoring, and robust user controls.
Frequently Asked Questions
About Gen AI for BI
What is Gen AI in business intelligence used for?
Gen AI in business intelligence is used to automate complex analytical tasks. It enables users to ask questions in natural language, automatically generate data narratives, detect anomalies in KPIs, and create dashboards on demand, making insights accessible to everyone in the organization.
How does Gen AI in business intelligence improve dashboard workflows?
It drastically reduces the time spent on manual dashboard creation and modification. Gen AI can automatically generate visualizations and narrative summaries based on a user's request, freeing up analyst time and clearing reporting backlogs for faster decision-making.
Is Gen AI in business intelligence safe for enterprise data?
Yes, when using an enterprise-grade platform like Lyzr. We ensure safety through private deployments, strict data governance, role-based access controls, and comprehensive audit trails. Your data is never used for training public models and remains within your secure environment.
How accurate are answers in natural language BI?
Accuracy is paramount. Our system relies on a semantic layer where your business logic and KPIs are defined. This ensures that when a user asks a question, the AI provides answers that are not only contextually relevant but also consistent with your single source of truth.
What data sources are used for AI-powered analytics?
Lyzr connects to a wide range of modern data sources. This includes cloud data warehouses like Snowflake, BigQuery, and Redshift, as well as existing BI tools and databases. Our connectors are designed for secure, read-only access to respect your existing data infrastructure.
How do automated insights and anomaly detection work?
Our AI models continuously monitor your key metrics against historical patterns and forecasts. When a significant deviation or anomaly is detected, the system automatically alerts you and performs a root-cause analysis to surface the key drivers behind the change.
Do we need a semantic layer to use generative AI for BI?
A semantic layer is crucial for ensuring accuracy and governance in generative AI for BI. It acts as a translation layer between business terms and your physical data, guaranteeing that the AI interprets questions correctly and uses the right metrics for every calculation and answer.
Can this support self-service analytics for non-technical teams?
Absolutely. That is one of the primary benefits. By enabling natural language questions, we empower business users in marketing, sales, and operations to get their own data answers without needing to write SQL or rely on an analyst, which significantly increases BI adoption.
How does data storytelling help executives and business teams?
Data storytelling automatically translates complex charts and numbers into clear, easy-to-understand written narratives. This helps executives and business teams quickly grasp key insights, trends, and performance drivers without needing to interpret raw dashboard data themselves.
What does implementation look like and how long does it take?
Implementation is designed to be fast. We typically start by connecting to your data warehouse and defining a core set of metrics. A pilot use case, like Q&A for one department, can be launched in a matter of weeks, demonstrating immediate value to the business.
Got a use case in mind?
8 weeks from use case to
8 weeks from use case to
agents running in production.
Platform, people and FDEs, all in. Bring your environment. We’ll co-build and stay until it’s
live.