The governed data foundation your BI and AI can trust.
QuickLaunch Analytics delivers pre-built semantic models and a governed lakehouse for the systems you already run, from JD Edwards and NetSuite to Viewpoint Vista and Spectrum, OneStream, and Salesforce. Business logic defined once, so your reports, your analysts, and your AI all land on the same answer.
Four reasons, proven by 250+ deployments
One Trusted Data Foundation
One governed environment across your ERP, finance, CRM, and operational systems. Pre-built semantic models define every measure once, with the context behind it, so you get one version of the number, not twelve, and every figure traces back to your system of record.
AI Readiness, Built In
Your data is AI-ready now. We write the definitions AI actually reads, so Copilot, Genie, Claude, and your own agents answer from the same governed model. Your security rules carry into every answer, so someone who can see overdue customers still cannot see salaries.
Lower Cost, Lower Risk
You cannot hire your way out of this. A from-scratch build runs a year or more and stalls when the one person who understood it leaves. Starting from a proven foundation costs 40 to 60% less. Washington Companies was in production in 12 weeks, after two 18-month builds had failed.
Adoption That Sticks
Reports nobody opens are not analytics. Your people start from working dashboards built for your systems, and our Customer Success team stays after go-live until they use them. At Washington Companies, 30 minutes of training has users serving themselves.
Connected, governed, and ready to use
QuickLaunch connects your systems, governs the data in your own cloud, and translates it into business terms that your team and your AI both understand. We do the heavy lifting, so your team starts from a working foundation instead of a blank page.
Your data stays in your tenant. The lakehouse and the semantic model run in your own cloud on Databricks or Microsoft Fabric, and your teams consume them in Power BI or the tools they already use. No proprietary black box, and nothing to migrate off later.
One foundation for every system you run, ready for AI on day one.
Your data arrives on its own
Automated data movement from JD Edwards, Vista, Spectrum, NetSuite, OneStream, Salesforce, and hundreds of other sources, on the cadence your business needs. No hand-built extracts, no overnight scripts to babysit, and no one asking whether the numbers are current.
Learn More One governed copy, in your cloud
A lakehouse on Databricks or Microsoft Fabric, running in your own tenant. Automated audit and maintenance, plus row-level security that mirrors the access rules your source systems already enforce.
Learn More Business terms, not table names
Pre-built semantic models that translate cryptic source-system tables into terms your business already uses, with the context that explains each one. Every measure is defined once and delivered in Power BI, Databricks, or both, so your reports, your analysts, and your AI agree on every number.
Learn MorePre-built for the system your business runs on
QuickLaunch Application Packs extend your analytics foundation with pre-built, production-ready semantic models tailored for your specific enterprise applications.
JD Edwards Pack
Finance, supply chain, manufacturing, job cost, and payroll analytics for EnterpriseOne.
- 29 perspectives
- 3,000+ measures
- Financials that reconcile to JDE
NetSuite Pack
Multi-subsidiary cloud ERP analytics with consolidation built in.
- 4 perspectives
- 600+ measures
- Intercompany eliminations handled
Viewpoint Vista Pack
Purpose-built analytics for construction project intelligence. Deep dive into job cost, AP/AR, equipment, and service management.
- 11 perspectives
- 2,200+ measures
- WIP with over/under billings
Viewpoint Spectrum Pack
Construction financials for Spectrum: job cost, AP/AR, GL, and equipment.
- 5 application modules
- 1,400+ measures
- Consolidates with Vista on one foundation
OneStream Pack
Financial planning, reporting, and consolidation analytics.
- 500+ business-friendly dimensions
- 900+ measures
- Reports that match OneStream exactly
Salesforce Pack
Visualize sales pipeline, activities, and performance metrics.
- Historical pipeline snapshots
- Forecast accuracy over time
- Pipeline blended with ERP revenue
Enterprise analytics tailored for your business
We’ve spent over two decades solving analytics for these industries. We know their data, their systems, and their challenges.
Manufacturing & Distribution
See labor and material variance, supply and demand, and margin by product line from one governed model built on your JD Edwards manufacturing, inventory, and sales data.
Construction & Engineering
Bring JDE, Vista, or Spectrum job cost, AP, and GL data into one governed view, so WIP, over/under billings, and margin on every job are clear without rebuilding schedules in Excel.
Consumer Goods & Retail
Unify sales, inventory, and customer data across your ERP and CRM, so margin by product line, customer, and channel comes from one set of numbers.
Energy & Natural Resources
Track cost by asset, site, and project, with equipment, maintenance, and financial data governed in one model that operations and finance both trust.
Transportation & Logistics
Measure freight cost and warehouse performance the same way at every site, with transportation, warehouse, and financial data from JD Edwards in one governed model.
Your Industry
Don't see your industry here? We also run in public sector and municipal government, professional services, and more. The same governed foundation adapts to the systems you run and the data you have.
Real business results, since 2002
Discover how our most successful customers made the switch that helped them make better decisions.
How IGI Gained a Three-Year Head Start on Digital Transformation
In late 2018, IGI’s leadership recognized that their data environment was costing them money. Processes that should take minutes were consuming hours. Decisions that should be data-driven were being made on gut feel or outdated information.
Sukut Construction Excavates Insights from Viewpoint Vista with Power BI and QuickLaunch
“Our president was blown away by the new dashboards, and that was even before they were complete. This is clearly the future of reporting for the construction industry.”
Guides, playbooks, and proof to help you build the case
What we have learned across 250+ deployments, written down so you can use it before you talk to us.
Building AI That Works: The AI Readiness Playbook
Co-authored with Fivetran. Five dimensions of AI readiness and a 90-day roadmap for closing the gaps.
Get the PlaybookCommon questions
Questions buyers ask us first
What is QuickLaunch Analytics?
QuickLaunch Analytics is an enterprise analytics company founded in 2002 and headquartered in the San Francisco Bay Area. We deliver automated data pipelines, a governed lakehouse, and pre-built semantic models on Databricks, Microsoft Fabric, and Power BI, for JD Edwards, Viewpoint Vista, Viewpoint Spectrum, NetSuite, OneStream, and Salesforce. More than 250 deployments to date.
Is QuickLaunch Analytics the same company as Preferred Strategies?
Yes. We were formerly known as Preferred Strategies, and we are the same company, team, and leadership. QUICKLAUNCH and PREFERRED STRATEGIES are both trademarks of Preferred Strategies, Inc.
Which systems do you support?
Application Packs are available for JD Edwards, Viewpoint Vista, Viewpoint Spectrum, NetSuite, OneStream, and Salesforce. The Foundation Pack underneath them moves data from those systems, and hundreds of other sources, into a governed lakehouse in your own cloud.
What makes data AI-ready?
Your AI is only as smart as your data foundation. AI-ready data carries the definitions, structure, and permissions an AI tool needs to answer correctly. Our semantic models define every measure once and carry the business context that explains it. Your security rules carry into every answer, so someone who can see overdue customers still cannot see salaries.
How is this different from building it ourselves?
A from-scratch build runs a year or more, and it stalls when the one person who understood it leaves. Starting from a proven foundation costs 40 to 60% less over its lifetime. Washington Companies was in production in 12 weeks, after two 18-month custom builds had failed.
Where does our data live?
In your own cloud tenant, on Databricks or Microsoft Fabric. The lakehouse and the semantic model run inside your environment, your teams consume them in Power BI or the tools they already use, and there is no proprietary black box to migrate off later.
Start from QuickLaunch, not from scratch.
See your Application Pack running live, with the models, measures, and security your team would actually use. Or score your AI readiness first, in about 10 minutes.
