Anonymized case studies from reporting modernization, KPI governance, and dashboard rebuilds — across healthcare, operations, finance, and nonprofit sectors.
A federally-funded research organization running multiple concurrent grant programs had accumulated 40+ recurring reports — most of them manual Excel builds assembled by individual program managers each month. Leadership had no consistent view of program health across grants, and funder reporting required significant manual reconciliation every quarter.
The core pain: the same headcount number appeared differently in three different reports, and nobody could say with authority which was right. Every external funder report required a full reconciliation cycle before submission.
Started with a full reporting inventory across all 40+ reports — documenting what each one was for, who owned it, how much manual time it required, and whether it was actually used to make decisions. Ran structured interviews with seven stakeholders across programs, finance, and executive leadership.
Identified 14 reports as retirement candidates (unused or duplicated), rebuilt the 8 highest-value reports as governed Power BI dashboards, and built a KPI dictionary covering all 23 program-level metrics. Implemented a formal report request intake process.
We had project data available, but it was not organized in a way that helped us manage the business. The new dashboard gave us a much clearer view of project performance, team activity, and where time was being spent across the program.
Following a core banking system migration, the organization's reporting had fractured: some reports still pulled from the legacy system, some from the new system, and some reconciled both. Finance and Operations were routinely presenting different loan portfolio numbers to the same executive team. The CFO had stopped trusting any report that came from the data team.
Fourteen months after the migration, the organization still had no single, trusted view of its loan book. The data team was spending roughly 60% of its capacity on reconciliation and ad-hoc requests instead of analytics.
Conducted a source-of-truth mapping exercise across all reporting — identifying which fields each report was pulling from which system and where the discrepancies originated. The root cause was a specific set of legacy accounts that hadn't been migrated cleanly and were being handled inconsistently by different report authors.
Rebuilt the six core portfolio reports in Tableau on a clean, documented data layer. Built a metric dictionary covering 31 risk and portfolio KPIs. Established formal data ownership for each reporting domain and created a documented data lineage diagram for the first time.
We had data across multiple systems, but it was not organized in a way that helped us make decisions. The project gave us a single source of truth and a clear picture of where reporting was breaking down — for the first time since the migration.
A fast-growing property management company had scaled from 800 to 2,400 units in three years — but its reporting hadn't scaled with it. Occupancy, maintenance, and financial metrics were tracked in four separate tools with no integration. The COO was running weekly operations meetings from a manually-assembled spreadsheet that took four hours to build every Monday morning.
There was no agreed definition of "occupancy rate" — leasing, operations, and finance each calculated it differently, producing numbers that ranged from 91% to 96% for the same month.
Started with a Reporting Clarity Assessment to triage the current state and identify the highest-value first build. Ran the source-of-truth exercise across four property management platforms and identified Yardi as the authoritative source for financial and occupancy data.
Built a Snowflake data layer consolidating all four source systems. Designed and built a suite of five Power BI dashboards covering portfolio performance, maintenance operations, leasing velocity, financial performance, and an executive summary. Resolved the occupancy definition conflict by convening a 90-minute workshop with the three functions — produced a single agreed definition within the session.
We had occupancy, maintenance, and financial data spread across different tools. The new reporting brought everything together and gave our operations team a real view of portfolio health — instead of rebuilding it every Monday morning.
A workforce development nonprofit working with underserved communities had a genuine impact story to tell — but couldn't tell it consistently. Program outcomes were tracked in Salesforce, participation data in Excel, and financial performance in QuickBooks. Each grant report was built from scratch, by different program managers, with no consistent methodology.
The organization was losing grant renewal conversations not because of poor outcomes but because it couldn't present those outcomes credibly. Funders were asking questions the team couldn't answer quickly.
Designed an outcome measurement framework aligned to the organization's theory of change — identifying which metrics actually demonstrated impact vs. which were activity metrics. Built a Salesforce-connected Power BI solution covering program enrollment, completion, employment placement, wage outcomes, and 12-month retention.
Created a funder reporting template that could be customized per grant while drawing from the same underlying data layer — eliminating the rebuild-from-scratch cycle for each report. Trained program staff on how to interpret and use the dashboards in their own conversations with participants and funders.
We needed a better way to present our program results to funders and board members. The final report made our impact easier to understand and gave us visuals we could use in presentations, grant updates, and internal planning.
A boutique retailer with two physical stores and a growing online channel had sales data in three completely separate places: Shopify for online orders, Square POS exports for in-store transactions, and a manual inventory spreadsheet updated weekly. There was no way to see total performance across channels without building a new spreadsheet every time.
Buying decisions were being made without knowing which products were actually selling across all locations. The owner was spending three to four hours every week reconciling data before she could answer basic questions about the business.
Connected all three data sources to Power BI — Shopify via API, Square POS via scheduled CSV export, and the inventory spreadsheet via SharePoint sync. Built a four-page dashboard covering sales overview, product performance, channel and location comparison, and inventory risk.
Defined 12 retail KPIs with agreed calculation rules — including a single definition of gross margin that resolved a discrepancy between how the owner and her bookkeeper had been calculating it. Built a flagging rule for slow-moving inventory that automatically surfaced reorder and promotion candidates.
We were looking at online sales, in-store sales, and product performance separately. The dashboard brought everything together in a way that was simple to understand. Now we can compare channels, spot trends, and make decisions faster.
The Assessment produces ten specific deliverables. Here's a closer look at two of them — the kind of clarity they're designed to produce.
The Reporting Clarity Assessment produces outputs like these in 2–3 weeks. Start with a free diagnostic call.
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