TopN AnalyticsData and AI capabilities built around your business outcomes.
Six ways we help you go from scattered data to systems your team relies on every day; pick one, or combine them as your needs grow.
Common problems we've built for before.
Illustrative patterns from typical engagements. Your architecture will be shaped by your own data and stack.
Executive Dashboards
Problem: Leadership makes decisions from a mix of gut feel and whichever report someone remembered to update.
Approach: A single, trusted dashboard pulling from your core systems, refreshed automatically and reviewed in leadership meetings by default.
Reporting Automation
Problem: A recurring report, weekly, monthly, quarterly, takes hours of manual spreadsheet work every cycle.
Approach: An automated pipeline that assembles, formats, and distributes the report on schedule, with the manual version retired.
Marketing Analytics
Problem: Spend is split across channels with no unified view of what's actually driving pipeline or revenue.
Approach: A unified marketing data model joining ad spend, web analytics, and CRM data into one attribution view.
Customer Analytics
Problem: You can see customers churn or expand, but not clearly why, until it's too late to act.
Approach: A customer data model surfacing usage, health, and risk signals early enough for the team to act on them.
Revenue Analytics
Problem: Revenue, pipeline, and forecast numbers live in different tools that never quite agree with each other.
Approach: A single revenue model reconciling CRM, billing, and finance data into one forecast the whole company trusts.
AI Agents
Problem: Analysts spend most of their time answering the same handful of recurring questions instead of new ones.
Approach: An AI agent trained on your data model that answers routine questions directly, escalating genuinely novel ones.
Not sure which service fits?
Book a discovery call and we'll help you figure out where to start.