Your Enterprise Runs on 5+ Systems. None of Them Agree.
Data silos are quietly draining your organization. Different departments, different numbers, different versions of “the truth.” The Data Disconnect costs enterprises millions annually in wasted analyst time, delayed decisions, and missed opportunities.
Is Your Organization Paying the Data Silo Tax?
Data silos don’t announce themselves. They hide in plain sight while silently eroding productivity, trust, and strategic clarity. If your organization shows three or more of these symptoms, you’re paying a hidden tax on every decision you make.
Analysts Spend More Time Finding Data Than Analyzing It
Your finance and operations teams waste 60-80% of their time collecting, cleaning, and reconciling data from disconnected systems. That’s not analytics. That’s data janitorial work.
Leadership Meetings Devolve Into "Whose Numbers Are Right?"
Sales says revenue is up 15%. Finance says 12%. Operations says 18%. When every department has a different version of reality, strategic discussions become debates about data accuracy.
Critical Questions Take
Weeks to Answer
A question that should take hours takes weeks because someone has to manually pull data from five systems, reconcile it in Excel, and pray nothing breaks.
Departments Maintain
Shadow Spreadsheets
People don’t trust the “official” reports, so they build their own tracking systems. Now you have data silos within data silos.
You Can't Connect Operations
to Financial Outcomes
“Which production issues are costing us the most?” “Which customers are actually profitable?” If these questions require a special project to answer, your data is disconnected.
What Data Silos Actually Cost Your Organization
The Data Disconnect isn’t just an IT problem. It’s a business problem with a measurable price tag.
60-80%
of analyst time spent on data prep instead of analysis
Weeks
to answer questions that should take hours
$Millions
in missed opportunities from delayed decisions
How to Break Down Data Silos in Weeks, Not Years
Our proven three-step methodology eliminates data silos and transforms fragmented systems into unified enterprise intelligence. This enterprise data integration framework delivers measurable value at each stage while building toward a complete, AI-ready analytics platform.
CONNECT
Connect Your Data Universe
Automated pipelines pull data from your ERP, CRM, financial systems, and operational tools. No more manual exports. No more broken links. Pre-built connectors for JD Edwards, NetSuite, Vista, OneStream, and Salesforce mean you don’t have to start from scratch.
CENTRALIZE
Centralize in an AI-Ready Foundation
Your data lands in a modern data lakehouse built on Databricks or Microsoft Fabric. This isn’t just storage. It’s a governed, scalable foundation that supports today’s reporting AND tomorrow’s AI.
CONQUER
Conquer Complexity with Unified Insights
Turn raw data into actionable intelligence through pre-built Power BI semantic models that connect the dots across your entire business. Eliminate blind spots, answer cross-functional questions in minutes, and empower every team with self-service analytics.
Why Most Data Integration Projects Fail
(And How to Avoid It)
You’ve probably tried this before. Maybe you hired consultants. Maybe you built something in-house. Here’s why it didn’t work, and what’s different with QuickLaunch.
| Challenge | Traditional Approach | QuickLaunch Approach |
|---|---|---|
| Timeline | 12-24 months to first value | 8-12 weeks to production |
| ERP Expertise | IT team/consultants learning your system | Deep domain experts who’ve done this 250+ times |
| Pre-Built Assets | Start from scratch | Proven data pipelines, lakehouse architecture, and data models |
| TCO | $500K-$1M+ custom builds | 40-60% lower total cost |
| Risk | High failure rate | 81 NPS from customers who’ve been through it |
End the Data Disconnect: Your Blueprint for a Unified Analytics Platform
Data silos are quietly draining millions from your organization through wasted analyst time, delayed decisions, and missed opportunities hidden across disconnected systems. This comprehensive 45+ page guide reveals the proven framework leading enterprises use to eliminate data silos in 8-12 weeks, not years
What You’ll Discover:
- The true cost of data silos and how to quantify the impact
- The Connect-Centralize-Conquer framework that delivers results in weeks
- Real customer results: $8-10M savings, 70% time reduction, 50% efficiency gains
- Step-by-step implementation roadmap for AI-ready data foundation
Essential Reading: Master Your Enterprise Business Intelligence Strategy
Dive deeper into the strategies and solutions that drive successful enterprise business intelligence implementations. Our comprehensive guides provide actionable insights for achieving true analytics unification and building competitive advantage through data-driven decision making.
Blog
Why AI Projects Fail Before They Start
Discover why 80% of AI initiatives fail due to data foundation problems, not algorithms—and what your organization needs before investing in machine learning.
Blog
What Are Data Silos? (And Why They’re Costing Your Enterprise Millions)
Understand what data silos really are, how they form in enterprise organizations, and the hidden costs you’re paying right now in lost productivity and missed opportunities.
Blog
Excel Limitations: Why Spreadsheets Can’t Scale for Enterprise Analytics
A balanced examination of when Excel stops being an analysis tool and becomes critical infrastructure—and the five signs it’s time to evolve your approach.
Companies That Broke Down Data Silos
$72M Additional
Annual Revenue
After two failed DIY attempts, Washington Companies deployed unified analytics across 7 JD Edwards instances.
65% Reduction in
Reporting Time
CLIF Bar unified JD Edwards data across 5 production facilities, eliminating the spreadsheet chaos that consumed their finance team.
$8-10M Additional Profit Through Unified Analytics
IGI Wax leveraged a modern data foundation to decrease manufacturing waste from 8% to 2% using machine learning.
See How Washington Companies Eliminated Data Silos
Watch this webinar featuring real results from breaking down data silos across a highly diversified enterprise. After a failed 18-month custom build attempt, The Washington Companies deployed a unified analytics solution in just 12 weeks. Hear directly from their analytics leaders on how they integrated 7 ERP instances, achieved standardized metrics, and discovered $6M+ in monthly revenue opportunities.
What You’ll Learn
- The Analytics Blueprint: Framework for connecting disparate systems and centralizing data in a modern Lakehouse
- Real-World Transformation: How Washington Companies overcame the “build vs. buy” dilemma and rapidly deployed unified analytics
- From Data to Dollars: How unifying operational and financial data enabled continuous improvement and significant business impact
Data Silos Questions, Answered
What are data silos and why do they cost enterprises millions?
Data silos occur when information is trapped in disconnected systems across departments, each with its own definitions, calculations, and versions of reality. They cost enterprises millions because analysts waste 60-80% of their time on data gathering instead of analysis, decisions get delayed by weeks, and leadership can’t trust the numbers they’re seeing. Every organization with multiple enterprise systems is paying this hidden “Data Silo Tax.”
How is this different from the BI tools we already have?
BI tools like Power BI are excellent at visualization, but they’re only as good as the data they’re fed. If your underlying data is fragmented and inconsistent, you get beautiful dashboards that tell conflicting stories. QuickLaunch provides the unified foundation that makes your BI tools actually work: automated integration, centralized governance, and pre-built business logic that ensures everyone sees the same numbers.
We've tried data unification projects before and they've failed. What's different?
Most data projects fail because they try to boil the ocean, or because generic consultants don’t understand your specific ERP system. Our approach is different: we deliver value in 8-12 weeks (not 12-24 months), we have deep domain expertise in JD Edwards, NetSuite, Vista, and OneStream, and we bring 2,400+ pre-built measures so you’re not starting from scratch. The Washington Companies failed twice with premier Microsoft partners before succeeding with QuickLaunch in 12 weeks.
How long does implementation take?
Most organizations see production value in 8-12 weeks. That’s not a typo. Because we’re not building custom from scratch, because we have certified connectors and pre-built Application Intelligence for major ERP systems, we bypass the 12-24 month timelines that kill most data projects.
How does breaking down data silos prepare us for AI?
AI and machine learning require clean, connected, governed data to function. You can’t train a model on fragmented information from five different systems with five different definitions of “revenue.” By unifying your data foundation first, you create the prerequisite for AI that actually works. IGI Wax proved this: they couldn’t attempt AI until their data was unified. Once it was, ML delivered $8-10M in annual profit improvement.
Ready to Break Down Your Data Silos?
See how QuickLaunch can unify your enterprise data in weeks, not years. Our team will show you exactly how the Connect, Centralize, Conquer framework applies to your specific systems.