Custom data products, decision systems, and intelligence platforms your team actually uses
Your team makes critical decisions every day. Some of those decisions live in spreadsheets one person understands, manual workflows that break when someone leaves, or gut calls because the data is too scattered to trust. Analytics Intelligence turns those pain points into working tools. Pricing engines. Management dashboards. Operational platforms that pull from your actual systems and put answers where your team needs them.
Every growing company hits a point where spreadsheets stop scaling. The pricing model one analyst built becomes the company's most critical and most fragile system. The weekly report takes two days to assemble. Leadership asks a question and the answer takes a week because nobody can query the data directly. These are the problems Analytics Intelligence solves.
Critical processes that depend on one person's spreadsheet
Decisions delayed because information lives in five different systems
Leadership can't get answers without asking the data person
Tools that break when the person who built them leaves
Custom tools designed around your specific data and decisions
Custom applications with suggested pricing engines, historical analysis, win/loss tracking, and management reporting. Replace Excel-based pricing workflows with tools the whole team can use.
Dashboards and tools that connect to your ERP, CRM, and operational systems. Surface the metrics that matter and put them where decisions happen.
Turn manual reporting and analysis into automated, self-updating tools. AI, machine learning, and automation are capabilities deployed within these products to solve specific problems.
Map the decision, the data, and the people. Understand what tool your team actually needs before we build anything.
Connect to your systems, establish the data foundation. If the data isn't clean, we fix that first.
A functional version your team can react to. Not a mockup, a working tool with real data.
Refine based on feedback, harden for daily use, train the team, and hand over.
Tools evolve as your business does. Ongoing support available through Analytics as a Service.
An automotive service contract company with 200K+ customers needed to:
We built a custom analytics intelligence platform:
Based on tool complexity and scope
From discovery to production
Delivery went from 3 weeks to 3 hours
Tools and systems your team actually uses, built on data you already have
Discuss Your Use CaseIt depends on the problem. Recent examples include pricing intelligence platforms, management reporting systems, and automated data pipelines that replaced manual Excel workflows. The common thread is: something your team uses daily to make better decisions.
Not necessarily. If your data needs work, that's part of the engagement. We often start with a data layer build before the tool itself. The Analytics Strategy tier is designed for exactly this situation.
Off-the-shelf tools solve generic problems. Analytics Intelligence builds custom tools around your specific data, your specific workflows, and your specific decisions. The pricing engine we build for an aviation parts company looks nothing like what a SaaS distributor needs.
AI, machine learning, and automation are capabilities we deploy where they add value. A suggested pricing engine might use ML under the hood. An automated report might use AI to flag anomalies. But the headline is the tool, not the technology.
Custom tools built on your data, designed for your team