What we build
Executive Dashboards
High-level views of business health for leadership. KPIs, trends, and alerts designed to surface what matters without drowning in detail.
- Revenue and growth metrics
- Operational health indicators
- Automated exception alerting
Operational Analytics
Detailed views for teams who need to act on data daily. Sales performance, marketing attribution, support metrics, inventory levels.
- Team and individual performance
- Pipeline and funnel analysis
- Drill-down and filtering
Self-Service Analytics
Empower your team to answer their own questions. Semantic layers, governed datasets, and intuitive interfaces that don't require SQL knowledge.
- Business-friendly data models
- Drag-and-drop exploration
- Governed access controls
Embedded Analytics
Analytics embedded directly in your applications. Customer-facing dashboards, in-app reporting, white-labeled visualizations.
- API-driven visualizations
- Multi-tenant data isolation
- Custom branding and theming
Platforms we work with
We recommend tools based on your team's skills, existing stack, and budget—not what's trendy.
Enterprise BI
- Tableau
- Power BI
- Looker
- Qlik
Modern Analytics
- Metabase
- Mode
- Hex
- Sigma Computing
Custom Solutions
- React + D3.js
- Plotly / Dash
- Observable / Vega
- Custom web applications
Why work with us
User-centered design
We design for the people who'll actually use the dashboards. That means understanding their workflow, not just their data.
Actionable insights
Pretty charts aren't the goal. We focus on visualizations that lead to decisions and actions, not just observations.
Performance matters
Dashboards that take 30 seconds to load don't get used. We optimize queries, caching, and data models for speed.
Common use cases
Sales & Revenue
Pipeline tracking, forecast vs. actual, rep performance, deal velocity, win/loss analysis.
Marketing
Campaign performance, attribution, funnel analysis, CAC/LTV, channel mix optimization.
Operations
Inventory levels, fulfillment metrics, supplier performance, capacity planning.
Customer Success
Health scores, churn risk, NPS trends, support ticket analysis, feature adoption.
Finance
P&L reporting, cash flow, budget vs. actual, departmental spending, revenue recognition.
Product
Feature usage, user engagement, conversion funnels, A/B test results, error tracking.
Frequently Asked Questions
Which BI tool should I use?
It depends on your team's technical skills, existing tech stack, and budget. Tableau and Power BI are enterprise standards with strong governance. Looker integrates well with modern data stacks. Metabase is great for startups. We help you evaluate options and implement the right fit.
Can you build custom dashboards without a BI tool?
Yes. For embedded analytics or highly custom requirements, we build dashboards using React, D3.js, and other web technologies that integrate directly with your application. This gives you full control over the user experience.
How do you ensure dashboards actually get used?
We design dashboards around specific business questions and workflows, not just available metrics. We involve end users in the design process, build role-specific views, and train teams on how to use the tools effectively.
Can you connect to our existing data sources?
Yes. We connect to databases, data warehouses, APIs, spreadsheets, and most SaaS tools. If your data isn't analytics-ready, we can build the data pipelines needed to prepare it.
Do you provide training for our team?
Absolutely. Every dashboard project includes documentation and training so your team can maintain and extend the work. We also offer ongoing enablement programs for teams that want to build internal analytics capabilities.
How long does it take to build a dashboard?
A single executive dashboard typically takes 2-4 weeks including data modeling, design, and iteration. A comprehensive analytics suite with multiple dashboards and self-service capabilities takes 6-12 weeks. We scope based on your specific metrics and user needs.
What makes a dashboard fast vs slow?
Dashboard performance depends on data modeling, query optimization, caching strategies, and the BI tool's architecture. We build aggregated data models, implement incremental refreshes, and use appropriate caching to ensure dashboards load in seconds, not minutes.
Can you embed dashboards in our product for customers?
Yes, embedded analytics is a specialty. We implement multi-tenant dashboards with proper data isolation, custom branding, and SSO integration. Whether using Looker, Metabase, or custom React components, we ensure your customers see only their data.
What's a semantic layer and do I need one?
A semantic layer defines business metrics consistently across all reports—ensuring 'revenue' means the same thing everywhere. If multiple teams build their own reports and get different numbers, a semantic layer creates a single source of truth. Tools like Looker, dbt metrics, and Cube.js provide this capability.
Should I use Looker or Tableau?
Looker excels at semantic modeling and integrates well with modern data warehouses—great for companies standardizing on dbt and BigQuery/Snowflake. Tableau offers more visualization flexibility and handles complex dashboards well. Power BI is often chosen by Microsoft-heavy organizations. We help you evaluate based on your specific needs.
Related services
Data Engineering
Build the data pipelines that power your dashboards with clean, reliable data.
Data Strategy
Define what metrics matter and align your analytics with business objectives.
Full Stack Development
Build custom applications with embedded analytics and data-driven features.
Training & Enablement
Train your team to build and maintain their own dashboards and reports.