Unified Data Platforms & Customer Data Integration
Prepare data the business can use.
Consolidate fragmented information, enable reporting, and prepare business data for AI. A unified data platform resolves data silos by creating a common operational data layer across customer, financial, project, equipment, marketing, and historical records. Dashboards and reports sit on that layer, so the team can answer operational questions without rebuilding spreadsheets, and the same structure is ready for automation and AI.
Consolidate fragmented information, enable reporting, and prepare business data for AI.
Start with the gap in the operation.
Your team spends hours combining exports from several systems before anyone can answer a basic operational question or trust a report.
Build around the outcome your team needs.
01
Customer Data Integration
Bring customer, account, job, transaction, and communication data together across the systems your team already uses.
02
Data Consolidation
Bring scattered records and historical data into a common structure your team can use.
03
Reporting & Dashboards
Use the unified data for the reports and dashboards your team asks for, with shared definitions and a path back to the source records.
04
Customer / Account 360
See related jobs, invoices, support tickets, and communications in one customer or account view.
05
Identity Matching & Deduplication
Match records across systems, resolve duplicates, and route uncertain matches for review.
06
Operational Data Integration
Connect projects, equipment, employees, vendors, locations, work orders, and documents while preserving their relationships.
07
Data Warehousing / Lakehouse
Build the data infrastructure for reporting, search, automation, and AI across your operation.
08
Data Quality & Governance
Define source ownership, access, validation rules, and refresh monitoring so your team can trust the data.
Connect systems. Prepare data. Deploy AI. Automate operations.
Most projects move through this sequence. We scope a useful first outcome across the systems, data, and workflows involved.
01
Connect the CRM, ERP, accounting, and other operational systems that hold the work.
02
Prepare a shared data structure for reporting and for AI, including the definitions behind the numbers.
03
Deploy workflows and agents where repeated decisions and handoffs can be automated.
04
Turn documents and communications into structured records and actions, with review where judgment matters.
Show us where the work breaks between systems.
Walk us through the systems you use, the reports you rebuild, and the handoffs your team handles manually. We’ll identify what should connect, what data should come together, where AI can take on the work, and what still needs to be automated.
Book a Workflow Call →