See what changes when reporting becomes trusted.
Representative engagements showing how Stratum helps teams clarify reporting problems, rebuild trusted dashboard systems, and strengthen the foundations behind repeatable decisions.
Monthly reporting shifted from multi-day assembly to automated visibility.
Manual reporting effort was reduced and leadership time was redirected.
Reporting moved from week-long preparation to a repeatable cadence.
A stalled operational workflow was redesigned into a governed process.
Clarity is the path forward.
These engagements show how Stratum turns reporting friction into clearer operating signals, better decisions, and stronger data foundations.
01Reporting TransformationExecutive Dashboard TransformationMulti-department reporting alignment
A leadership team needed one trusted view across Sales, Marketing, Operations, HR, and Talent Acquisition.
ProblemTeams used different metric definitions and spent reporting meetings reconciling numbers instead of making decisions.
ResultReporting time dropped by 90%, annual reporting cost decreased by $150K, and leadership gained a shared view of performance.
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Multi-department reporting alignment
A leadership team needed one trusted view across Sales, Marketing, Operations, HR, and Talent Acquisition.
Teams used different metric definitions and spent reporting meetings reconciling numbers instead of making decisions.
Reporting time dropped by 90%, annual reporting cost decreased by $150K, and leadership gained a shared view of performance.
What Stratum changed
Stratum standardized KPI definitions, created a metrics dictionary, and built executive BI dashboards around agreed leadership views.
“Before Stratum, our leadership meetings were spent debating numbers. Now we walk in aligned. Reporting that used to take days is instant.”
Situation
- The organization operated across multiple departments, each with its own reporting process and metric definitions.
- Monthly reporting required manual preparation from each department, followed by leadership reconciliation.
Challenge
- Reports took 2-3 days per department to prepare.
- Leadership spent about a week per cycle reconciling discrepancies.
- Meetings often focused on debating numbers instead of deciding what to do next.
Work completed
- Designed a centralized metrics dictionary with agreed definitions, calculation logic, and ownership.
- Facilitated cross-functional KPI alignment sessions.
- Built role-based executive dashboards and department-level views in Power BI.
Results
| Metric | Before | After | Impact |
|---|---|---|---|
| Monthly reporting preparation | 2-3 days per department | Fully automated | -90% time |
| Executive reconciliation time | ~1 week per cycle | Minimal | Friction removed |
| Operational reporting cost | Manual labor intensive | Automated | $150K saved annually |
| Revenue performance visibility | Limited insight | Optimized decisions | $130K incremental revenue |
Business impact
- Leadership shifted from validating data to driving strategy.
- Teams gained a shared KPI language and a more reliable reporting cadence.
- The business reduced risk from conflicting numbers and manual reporting dependencies.
02Reporting Foundation ResetReporting Foundation ResetCentralized data foundation and quality monitoring
A growing organization needed to restore reporting speed and trust across data spread through seven platforms.
ProblemData was fragmented, inconsistent, and required heavy manual cleanup before reports or dashboards could be trusted.
ResultReporting cycles became 85% faster, dashboards became largely automated, and data quality improved by 90%.
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Centralized data foundation and quality monitoring
A growing organization needed to restore reporting speed and trust across data spread through seven platforms.
Data was fragmented, inconsistent, and required heavy manual cleanup before reports or dashboards could be trusted.
Reporting cycles became 85% faster, dashboards became largely automated, and data quality improved by 90%.
What Stratum changed
Stratum implemented a Microsoft Fabric data foundation, automated pipelines, quality monitoring, and semantic models for reporting.
“Before Stratum, our reporting process was constantly delayed by data cleanup and inconsistencies. Now our dashboards refresh automatically.”
Situation
- Departmental data lived across seven separate platforms with no centralized reporting foundation.
- Each new reporting cycle required manual data cleaning, restructuring, and validation.
Challenge
- Reporting and dashboard pipelines were inefficient and unreliable.
- Analysts spent more time cleaning data than generating insight.
- Leadership could not rely on timely reporting, and analytics initiatives frequently stalled.
Work completed
- Implemented Microsoft Fabric as a governed data platform.
- Consolidated departmental data into a unified storage layer.
- Built automated synchronization, preprocessing, quality monitoring, and semantic models.
Results
| Metric | Before | After | Impact |
|---|---|---|---|
| Reporting cycle time | 1-2 weeks | 1-2 days | ~85% faster |
| Dashboard refresh process | Manual, labor-intensive | Automated | Minimal human touch |
| Data quality | Inconsistent, unsupervised | Governed and monitored | +90% improvement |
| Reporting reliability | Frequently stalled | Scalable and stable | Trust restored |
Business impact
- The team moved from reactive cleanup to governed reporting operations.
- Dashboards became easier to refresh and easier to trust.
- The organization gained a stronger foundation for future analytics growth.
03Workflow AutomationReporting Foundation ResetOperational workflow and backlog recovery
A large operational team needed to replace a fragile shared spreadsheet workflow and eliminate a growing backlog.
ProblemOver 50 contributors relied on one shared Excel file, manual project selection, and one person to manage assignments.
ResultSelection time dropped from one week to under two hours, a three-month backlog was cleared, and productivity improved by 90%.
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Operational workflow and backlog recovery
A large operational team needed to replace a fragile shared spreadsheet workflow and eliminate a growing backlog.
Over 50 contributors relied on one shared Excel file, manual project selection, and one person to manage assignments.
Selection time dropped from one week to under two hours, a three-month backlog was cleared, and productivity improved by 90%.
What Stratum changed
Stratum built a governed cloud workflow application, automated project selection engine, and structured work interface.
“Stratum transformed a manual process into an automated system that reduced selection time from a week to hours.”
Situation
- The team managed a high-volume project pipeline with more than 50 contributors.
- The entire backlog lived in a shared Excel file where people could self-assign work and make direct changes.
Challenge
- Manual project selection required cross-checking multiple reports and systems.
- The selection process took about one week before work could move forward.
- Backlog accumulated to nearly three months of pending projects.
Work completed
- Designed and deployed a secure cloud workflow application.
- Built a centralized lakehouse environment for structured project data.
- Created automation pipelines and a project selection engine using predefined business rules.
- Implemented a structured work interface with status tracking and automated closure.
Results
| Metric | Before | After | Impact |
|---|---|---|---|
| Project selection time | 1 week | 1-2 hours | ~90% faster |
| Backlog volume | ~3 months of work | Cleared in 2 months | Lag eliminated |
| Productivity | Manual, fragmented | Streamlined workflow | +90% improvement |
| Data error rate | High corruption risk | Controlled and validated | -80% errors |
Business impact
- The team regained real-time visibility into project pipeline status.
- Manual handling risk decreased and operational governance improved.
- The workflow became scalable enough to support future workload growth.
Want to know what result is realistic for your reporting system?
Start with a diagnostic. We will clarify what is breaking, where the largest opportunity sits, and what path makes sense before you commit to a larger build.