Stop waiting on IT and analytics teams for every report. AI-powered self-service analytics lets business users create dashboards, analyze data, and generate insights independently—no SQL or technical training required.
In most organizations, accessing data is a privilege reserved for technical experts, creating massive inefficiencies:
Data teams spend 60-70% of their time on routine reporting requests instead of strategic analysis. Every department competes for limited analyst time, creating week-long backlogs.
Business teams wait days or weeks for data to answer simple questions. By the time they get answers, market conditions have changed and the data is less relevant.
Only 5-10% of employees can access and analyze data independently. The other 90% make decisions without data or rely on outdated reports that may not answer their specific questions.
Employees closest to customers and operations see opportunities and issues first—but can't access data to validate hypotheses or quantify impact, so insights die on the vine.
AI eliminates technical barriers, enabling any business user to explore data, create visualizations, and build dashboards through intuitive, natural interfaces.
Users ask questions in plain English. AI translates questions into queries, retrieves data, and presents results—no SQL knowledge required.
For users who prefer visual interfaces, intuitive drag-and-drop tools let them build dashboards without writing code or learning complex BI software.
AI handles complex data preparation tasks automatically—joins, aggregations, calculations—so users focus on analysis instead of data wrangling.
Pre-built dashboard templates and report formats help users get started quickly while following data visualization best practices.
Self-service doesn't mean unrestricted access. AI enforces row-level security, data permissions, and governance policies automatically.
Created a useful dashboard or report? Share it with your team, schedule automated distribution, or embed it in existing tools.
See how self-service analytics can transform your organization's relationship with data. Get a demo showing how non-technical users can build dashboards and analyze data in minutes.
Business users self-serve 70-80% of their analytics needs, freeing data teams to focus on strategic projects and complex analysis.
Get answers in minutes instead of waiting days or weeks for analyst availability. Speed up every business decision with immediate data access.
When everyone can access data, more decisions are informed by actual metrics instead of gut feel or outdated reports.
Organizations implementing self-service analytics report average returns of $1.2M annually from improved productivity and better decision-making.
Build territory performance dashboards, analyze win rates by segment, and track pipeline health without waiting for sales ops.
Analyze campaign performance, track channel ROI, and measure content effectiveness without relying on marketing ops or analytics.
Monitor feature adoption, analyze user engagement, and understand customer behavior without engineering support.
Track operational KPIs, monitor process efficiency, and identify bottlenecks without building custom reporting infrastructure.
Not when properly implemented. AI-powered self-service includes built-in governance—certified metrics, data quality indicators, and validation rules ensure users access accurate, trustworthy data. The system guides users toward best practices and flags potential errors. Plus, democratizing data access often improves quality as more eyes catch inconsistencies.
The system provides guard rails: certified metric definitions prevent calculation errors, automatic join logic ensures correct data relationships, and AI flags statistically suspicious results. We also include training on data literacy basics and best practices. Over time, users become more sophisticated analysts.
No—they become more valuable. Self-service eliminates routine reporting requests (60-70% of their current workload), freeing them for strategic analysis, advanced modeling, and building new data capabilities. The analytics team transitions from report factory to strategic partner and center of excellence.
Most users can create basic dashboards and run simple analyses within 30-60 minutes of training. Proficiency with more advanced features takes 2-4 weeks of regular use. The natural language interface means users can be productive on day one for simple questions, even without formal training.
The AI assistant provides contextual help and suggestions within the interface. For more complex needs, we typically recommend establishing 'data champions' in each department—power users who can help colleagues. The analytics team remains available for sophisticated analytical questions, but handles far fewer routine requests.
Transform how your team accesses and uses data. See how non-technical users can build dashboards, analyze metrics, and generate insights independently—no SQL or BI tool expertise required.