Finance · Netherlands

From fragmented project data to MT-level capacity planning

FMO's PMO office needed a clear view of project capacity and resource allocation across a complex portfolio. Pearstop cleaned and structured the full project dataset and built the dashboards that gave MT the visibility to make confident decisions.

The challenge

The problem

The portfolio data was fragmented and inconsistent, making it difficult for the leadership team to get a reliable view of workload and capacity.

Pearstop structured the underlying dataset and produced a cleaner reporting view so management could make capacity decisions with confidence.

Full
portfolio visibility
MT
level decision making
0
manual aggregation

A clear view of project capacity makes the difference between guesswork and confident decision making.

Programme LeadFMO

The result

What changed?

This is the kind of data quality problem that shows up in reporting-heavy organisations when source data was never designed for strategic use.

Want a case study built around your data?

We can show you what the same approach would look like for your procurement or asset data.

Latest Insights

Procurement

UNSPSC vs eCl@ss: when your ERP and reporting disagree

UNSPSC and eCl@ss answer different questions. Here is how to pick when your ERP was built for one an…

Read more
AI & Digital

Why a data-cleaning AI project needs a project manager

Most AI data-cleaning projects fail from a governance gap, not a model gap. Treating the software li…

Read more
Data Quality

When manufacturer and type fields swap in your spend data

A silent field swap between manufacturer and type corrupts classification without a single error mes…

Read more