14 Disconnected Systems. One Unified Analytics Platform. 12 Weeks.
Industry
Healthcare
Service
Data Analytics & BI + Data Architecture
Duration
12 weeks
Team
5 Agilityx consultants + AI agents
Data Sources
14 systems
The Situation
A regional healthcare network with 12 hospitals, 85 clinics, and 4 million patient records was drowning in data but starving for insight. Clinical data lived in Epic, financial data in SAP, operational data in a custom SQL Server warehouse, and patient satisfaction data in 11 other point systems. No single view of performance existed.
The Chief Analytics Officer had tried twice to build a unified analytics layer. The first attempt — an 18-month internal project — was abandoned after the team couldn’t reconcile conflicting metric definitions across systems. The second attempt with a mid-size consulting firm produced 40 dashboards that nobody used because the underlying data was unreliable.
The CAO needed a platform that clinical leaders, financial controllers, and operations teams could all trust. And she needed it before the next board meeting in 14 weeks.
The Approach
Discovery(Week 1–2)
AI Agents
Ingested metadata from all 14 source systems simultaneously. Within 72 hours, profiled 4,200+ tables, identified 890 metric definition conflicts, and mapped data lineage across the entire network.
Consultants
Conducted stakeholder interviews to prioritize the 25 most critical KPIs across clinical, financial, and operational domains.
Architecture(Week 2–4)
AI Agents
Designed a lakehouse architecture on Databricks (Azure), with medallion architecture (bronze/silver/gold) to handle the varying data quality levels.
Consultants
Built a semantic layer with standardized metric definitions that resolved the 890 conflicts the AI agents had identified.
Implementation(Week 4–10)
AI Agents
Generated 70% of the dbt transformation models, built automated data quality checks for every pipeline, and created a reconciliation framework that validated data accuracy across all 14 source systems daily.
Consultants
Focused on the complex clinical metric calculations that required domain expertise and HIPAA compliance validation.
Visualization(Week 8–12)
AI Agents
Generated initial Power BI dashboard templates based on the prioritized KPIs.
Consultants
Refined dashboards with clinical and financial stakeholders through two rounds of iteration, ensuring the dashboards told the right story for each audience.
Knowledge Transfer(Week 10–12)
AI Agents
Produced complete documentation for every pipeline, transformation, and dashboard.
Consultants
Trained a 3-person internal analytics team to maintain and extend the platform independently.
Traditional vs. Agilityx
| Dimension | Traditional | Agilityx |
|---|---|---|
| Source system profiling | 4–6 weeks manual analysis | 72 hours via AI agents |
| Metric conflict resolution | Never completed (890 conflicts) | Fully resolved in 2 weeks |
| Data pipeline development | Estimated 6 months | 6 weeks (70% AI-generated) |
| Dashboard adoption | 40 dashboards, 0% adoption | 25 dashboards, 85% weekly active use |
| Time to insight | 3 weeks (manual report requests) | 4 hours (self-service) |
| Total timeline | 18 months (abandoned) / 12 months | 12 weeks |
Source system profiling
Traditional
4–6 weeks manual analysis
Agilityx
72 hours via AI agents
Metric conflict resolution
Traditional
Never completed (890 conflicts)
Agilityx
Fully resolved in 2 weeks
Data pipeline development
Traditional
Estimated 6 months
Agilityx
6 weeks (70% AI-generated)
Dashboard adoption
Traditional
40 dashboards, 0% adoption
Agilityx
25 dashboards, 85% weekly active use
Time to insight
Traditional
3 weeks (manual report requests)
Agilityx
4 hours (self-service)
Total timeline
Traditional
18 months (abandoned) / 12 months
Agilityx
12 weeks
The Outcomes
14 systems
Unified into one platform
All clinical, financial, and operational data sources consolidated in 12 weeks.
3 wks → 4 hrs
Time to insight
From manual report request to self-service analytics for all leadership teams.
85%
Weekly dashboard adoption
Across clinical, financial, and operations leadership — up from 0% with the previous solution.
890
Metric conflicts resolved
Single source of truth established for the first time in the organization’s history.
$2.1M
Cost savings identified
Operational inefficiencies surfaced by the new analytics layer in the first quarter.
3-person team
Trained & self-sufficient
Internal analytics team fully capable of maintaining and extending the platform at handoff.
"We’d tried twice before and failed. Agilityx’s AI agents profiled our 14 systems in 72 hours — work that took our last consulting partner 6 weeks. But the real difference was the quality. For the first time, our clinical leaders and CFO are looking at the same numbers and trusting them. That’s transformational for a healthcare organization."
Chief Analytics Officer
Regional Healthcare Network
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