Start from QuickLaunch, not from scratch.
QuickLaunch delivers the pieces of a governed data foundation, built to fit together: pipelines and a lakehouse in your cloud, a pre-built semantic model for each system you run, and AI that reads the same definitions.
Use the AI tools you choose. Every one reads the same trusted definitions.
QuickLaunch builds trust at every step: automated pipelines that validate what they move, a governed lakehouse you own, one set of business definitions, and AI skills that answer from them.
Your systems
ERP, CRM, finance and more
JD Edwards
VistaSpectrum
NetSuite
Salesforce
OneStreamOther sources, through FivetranLakehouse
Databricks or Microsoft Fabric, in your tenant
Databricks
Microsoft Fabric- Automated pipelines and data mirroring
- Bronze, silver and gold layers
- QuickLaunch data models
- Governed and secured
Trusted semantic layer
Business logic, defined once
Power BI semantic modelsDatabricks- Governed measures and hierarchies
- Business rules defined once
- Row-level security in Power BI
- A pre-built semantic model for each system
Your AI tools
Use the ones you choose
Claude
Microsoft 365 CopilotDatabricks Genie
Power BI reports
ExcelEverything runs in your own cloud tenant, on Databricks or Microsoft Fabric. Your data stays in your tenant, and there's no proprietary system to migrate off later.
Three pieces, each building on the last
The foundation comes first, then a pack for each application, then reports and AI on top.
Foundation Pack
Automated pipelines, a governed lakehouse in Databricks or Microsoft Fabric, and an enterprise semantic layer, in your own cloud tenant.
Explore the Foundation Pack →Application Packs
A pre-built semantic model for each system you run, with the measures, hierarchies and security in place from day one.
Compare the Application Packs →Reports, dashboards and AI
Pre-built Power BI reports and dashboards for the day-to-day, and AI tools like Microsoft 365 Copilot and Claude for questions, all answering from the same trusted definitions.
How AI uses it ↓Six Application Packs, one for each application
Application Packs carry the business logic for your ERP, finance and CRM systems: the measures, hierarchies and security your team would otherwise have to build and keep current. Each pack is delivered in Power BI or Databricks.
Finance, order to cash, supply chain, manufacturing, projects, assets and payroll, with JD Edwards business logic built in.
Job cost, project management, payables, receivables, equipment and service management, with work in progress tied to the general ledger.
Job cost, payables, receivables, equipment and the general ledger, rolled up from job and sub-job to phase and cost type.
General ledger, payables and receivables, on consistent definitions across subsidiaries and currencies.
Consolidated financials, planning and reporting, with your OneStream hierarchies intact.
Pipeline history, quota and product performance, joined to your ERP actuals in the same lakehouse.
AI is how your people will use your data. The semantic model is why they can trust it.
QuickLaunch puts AI on the same trusted foundation as your reports, in three parts that build on each other.
Definitions AI can read
Every QuickLaunch semantic model defines your measures, hierarchies and business rules once, with the descriptions AI tools use to find the right number.
The AI tools you choose
Ask Microsoft 365 Copilot, Claude or Databricks Genie a question in plain English, and the answer comes from the same definitions as your reports.
QuickLaunch AI skills
The Trusted Answers skills, Trusted Ask, Trusted Briefing, Trusted Page and Trusted Validation, put the definitions to work: an answer to the question you asked, a live briefing on what changed, live scorecards, dashboards and what-if tools, and every transaction behind a figure.
Claude
ClaudeAI doesn't replace your dashboards. Power BI reports and Excel keep working on the same governed data, and AI gives your people another way in.
Begin with one pack. Add more as you grow.
Foundation plus your first pack
Production-ready in weeks, built right the first time, for the Foundation Pack and your first Application Pack.
Validate and extend
Your team checks the numbers against your source system's own reports, then extends the semantic models with your business logic. We keep them current through ERP upgrades and Power BI, Fabric and Databricks changes.
Add a pack for each new system
A new system or an acquisition means adding a pack on the same foundation, not starting a new project.
Implementation timeline
A typical deployment of the Foundation Pack and your first Application Pack, in four overlapping phases.
Companies that run on QuickLaunch
“When you can show it through the data visually, it makes such an impact.”Steve Schmidt, Business Intelligence Architect, The Washington Companies
Washington Companies installed the full QuickLaunch solution across all modules in 12 weeks, after two builds with two different Microsoft partners failed over an 18-month period.
on one Foundation Pack at Granite Construction, JD Edwards and Vista, with OneStream on the way after an acquisition.
“Marla Nelson and team has been an outstanding partner for Granite Construction and helping us take our organization to new levels in providing Financial Dashboards and helping take processes from four days to four hours.”Andrew Saleh, IT Director of Business Operations, Granite Construction (on the JD Edwards deployment)
AR productivity at IGI: credit disputes resolved in 5 minutes instead of 2 to 4 hours. Deployed in 8 weeks, after large vendors quoted three years.
“We've gotten a three-year head start on our digital transformation journey by taking the modern BI approach with QuickLaunch.”Bill Sandblom, Chief Information Officer, The International Group
How QuickLaunch works: FAQ
What are QuickLaunch Analytics Packs?
QuickLaunch Analytics Packs are pre-built data foundations for enterprise analytics and AI. The Foundation Pack delivers automated pipelines, a governed lakehouse and an enterprise semantic layer. Application Packs add a pre-built semantic model for JD Edwards, Vista, Spectrum, NetSuite, OneStream or Salesforce.
Do I need the Foundation Pack?
Yes, for every Application Pack except OneStream, which can run on its own. The Foundation Pack moves the data and holds the governed lakehouse the Application Packs build on.
We use Power BI today. How does QuickLaunch help?
QuickLaunch builds on your Power BI investment. The Foundation Pack handles the pipelines and the lakehouse, and Application Packs add pre-built semantic models for your systems, so your team spends its time on analysis instead of data preparation and modeling. Your reports stay in Power BI and Excel.
Where does our data live?
In your own cloud tenant, on Databricks or Microsoft Fabric. Your data stays in your tenant, and there is no proprietary system to migrate off later.
How does AI use QuickLaunch data?
Microsoft 365 Copilot, Claude and Databricks Genie answer from the semantic model's governed definitions, the same ones behind your reports, and each answer shows the measure behind it. Microsoft's AI tools apply each person's own permissions: row-level security has been validated in the Power BI Service, Fabric data agents, Microsoft 365 Copilot Chat and Copilot Cowork.
How long does deployment take?
Most teams are production-ready in weeks, built right the first time, starting with the Foundation Pack and one Application Pack. A from-scratch ERP analytics build typically takes 12 to 24 months.
What skills does my team need?
Analysts with SQL and Power BI skills can manage and extend QuickLaunch, without specialist data engineers or cloud architects. We train your team and support you after go-live.
What is Trusted Briefing?
A QuickLaunch AI skill that turns your semantic model into a period briefing for a CFO or operations leader: what changed, why and what it costs. AI writes the words, and every number comes from your semantic model’s governed measures, labeled Verified, Derived or Estimated.
See QuickLaunch in action
Bring your toughest reporting or AI question. We'll walk through the pack for your system in a live demo, on demo data: the semantic model, the measures and the security.
AR Aging
Microsoft 365 Copilot