From Chaos to Clarity: Restoring Reporting at Scale

A $7.1B global consumer-goods manufacturer migrating from a legacy ERP to the cloud faced a critical reporting gap. With quarter-end approaching and key Finance reports at risk, the company turned to Prismatic to stabilize its data pipeline and restore reliable reporting.

Client Background

Industry & What They Do

Consumer and professional household & personal products sold across mass retail, grocery, club, dollar, hardware, ecommerce, and pro channels. (SEC)


Size

Revenue (TTM): ~$7.10B (as of June 30, 2025). (YCharts)

Employees: ~8,000 worldwide (as of June 30, 2024). (SEC)


Region & HQ

Sells in 100+ markets; operations in ~25 countries; ~16% of net sales from international markets. (SEC)

Headquarters: Oakland, California (USA). (SEC)


Footprint & Segments

Reportable segments: Health & Wellness; Household; Lifestyle; International. (SEC)

Manufacturing facilities: 33 (FY2024). (Q4cdn)

Portfolio categories (examples): cleaning & disinfecting; bags & wraps; cat litter; grilling; dressings/dips/seasonings; water filtration; natural personal care. (SEC)

Challenge

A North American consumer-goods manufacturer was migrating from a legacy ERP to a cloud platform and hit a reporting gap.

Legacy quarter-close reports no longer aligned to the new processes and data model. A global professional services firm was leading analytics, but after six months a critical report set remained undelivered and trust was eroding.

With quarter-end approaching and the close at risk, the client engaged Prismatic to assess the landscape, stabilize the data pipeline, and restore a reliable path to accurate reporting.

Solution

Prismatic partnered with the Finance manager and her analysts to run a rapid triage and align on the outcomes needed for quarter-end. We mapped the end-to-end data flow, surfaced misclassifications and calculation errors, and sequenced fixes by business impact.

Working alongside the client’s and the vendor’s development teams, we stabilized the core data models by correcting transformation logic, standardizing metric definitions, and adding basic tests to prevent regressions.

With a reliable foundation in place, we delivered KPIs and executive-ready reports that matched agreed definitions, reconciled to source, and reflected how the business actually operates. We closed with working sessions and light documentation so Finance could own day-to-day changes going forward.

Results

In four weeks, Finance had an executive-ready suite of reports underpinned by reconciled models.

More than 200 KPIs matched the team’s prior manual calculations, giving leaders a single, trusted view. Roughly 60 hours per close cycle of spreadsheet and system-table compilation were eliminated and replaced with a governed dataset on scheduled refreshes.

We introduced a simple reconciliation playbook and upskilled analysts on the reporting platform so Finance could maintain definitions and dashboards without vendor help. Weekly checkpoints with Finance kept expectations tight and drove adoption.

Before & After

KPI Trust

Manual comparisons and workarounds

Close Effort

~60 hours per cycle of stitching data

Stability

Logic drifts and ad-hoc fixes

Ownership

Vendor-dependent changes

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