How Femtus works across the reporting chain
Femtus works across five stages: data acquisition and preparation, analysis, management reporting, reporting automation, and project controls. Most engagements start at whichever stage is broken and extend from there, because reporting that leadership trusts depends on every stage underneath it being solid.
Data Acquisition & Preparation
Most reporting problems start here. Data lives in source systems that were never designed to talk to each other: finance platforms, project trackers, operational databases, and spreadsheets maintained by whoever inherited them. Before any reporting can be trusted, that data has to be extracted reliably, cleaned of the inconsistencies that accumulate over years of manual handling, and structured so the same figure means the same thing wherever it appears. We build the extraction and processing layer first, agreeing definitions with the teams who own the data before a single report is built on top of it. This is unglamorous work, and it is also the work that determines whether everything built afterwards can be trusted. Skip it, and the dashboard built on top inherits every inconsistency underneath, just with better formatting.
- Source system extraction
- Data cleaning and structuring
- Repeatable data flows
- Definition alignment across departments
- Data quality validation
Analysis & Performance Intelligence
Once data can be trusted, it can be analysed. We turn structured data into the trend analysis, variance tracking, and performance metrics that explain what is actually happening, not just what happened. This means building KPI architectures that survive contact with more than one department: definitions that finance, operations, and delivery teams all agree describe the same thing. It means distinguishing leading indicators from lagging ones, so problems surface while there is still time to act on them. And it means being honest about what a metric can and cannot tell you, rather than manufacturing false precision. The output is not a pile of charts. It is a small number of measures that leadership can actually use to judge whether performance is on track, and why, when it is not.
- Data analysis and consolidation
- KPI architecture
- Performance frameworks
- Trend and variance analysis
- Leading and lagging indicator design
Management Reporting & Decision Support
Financial, operational, and delivery data usually live in separate reports, told by separate teams, on separate cadences. We bring them into one view: a single set of reporting that leadership can rely on without reconciling three versions of the same number beforehand. This starts with agreeing what leadership actually needs to decide, then designing the reporting backwards from those decisions, rather than forwards from whatever data happens to be available. The result is a reporting environment built around a single source of truth, where a number means the same thing in the board pack as it does in the operational review beneath it. Consistency compounds. When leadership can trust that this week's numbers are built the same way as last week's, decisions get faster and the reporting stops being questioned instead of used.
- Executive reporting
- Single source of truth
- Decision frameworks
- Cross-functional data consolidation
- Reporting cadence design
Reporting Automation
Manual reporting cycles consume days of skilled time every month: pulling figures from multiple systems, reconciling discrepancies, formatting the same tables, and distributing the same report. We replace that cycle with automated workflows built on your existing systems, so the same data collection, validation, and formatting happens without anyone doing it by hand. Where AI genuinely reduces effort, such as extracting data from documents or flagging anomalies before they reach a report, we use it. Where it would add complexity without reducing work, we do not. The goal is not automation for its own sake. It is freeing the people who currently spend their time compiling reports to spend it interpreting them instead, and giving leadership reporting that arrives on schedule because a process runs it, not because someone stayed late to finish it.
- Workflow automation
- Data reliability
- Automated data handling
- Automated data validation
- Scheduled report generation and distribution
Project Controls
Capital projects and programmes need cost, schedule, and delivery performance to be visible before problems compound, not after. We build project controls environments covering cost and schedule visibility, earned value monitoring, and delivery oversight, structured around the decisions a project manager or programme sponsor actually needs to make. This means a realistic baseline the project can be measured against, standardised reporting from contractors and delivery teams so consolidation does not become the bottleneck, and a reporting cadence fast enough to catch drift while it can still be corrected. Project controls done well are not a compliance exercise that gets filed after the fact. They are the reporting that tells a delivery team where they actually stand, in time to do something about it.
- Cost and schedule visibility
- Earned value monitoring
- Delivery oversight
- Programme baseline design
- Contractor and multi-party reporting consolidation
Frequently asked questions
What does Femtus do?
Femtus builds the data and reporting foundation organisations rely on to make decisions. We work across the full chain: getting the data out of source systems, cleaning and structuring it, defining what should be measured, and building the reporting leadership actually uses.
Who is Femtus for?
Femtus works with organisations in the UK, USA, and Europe whose leadership cannot fully trust the numbers they are given: departments that measure the same thing differently, reporting cycles that take days to produce, and decisions that wait on data nobody is confident in.
Which tools and platforms does Femtus work with?
Femtus works across spreadsheets, business intelligence platforms, and purpose-built software, chosen to fit the problem rather than a house preference. We hold no software partnerships and take no licence commissions, so the recommendation is never shaped by what we sell, because we sell no software at all.
How is Femtus different from a business intelligence partner?
A business intelligence partner is paid to set up a platform. Femtus is paid to solve the reporting problem, and has no stake in which platform, if any, that requires. We fix the data underneath first, because a dashboard built on unreliable data fails regardless of which tool shows it.
Where does Femtus operate?
Femtus Solutions Limited is registered in London and serves clients across the United Kingdom, the United States, and Europe. Engagements are senior-led and delivered remotely or on-site, depending on what the engagement requires, with most relationships continuing over multiple years rather than a single project.
Should I solve this internally, hire a software partner, or engage Femtus?
Building internally works when your team already has the time and skills to own it, and many organisations should just do that. A software partner is right when you already know which platform you need and just need it configured. Femtus is worth engaging when the problem is the data underneath, not the platform on top, or when you are not yet sure which platform, if any, is the answer.
How long before an engagement shows results?
Every engagement starts with a defined scope agreed up front, and is structured to produce something usable early rather than requiring a long build before anything is visible. We would rather show you something real early and adjust it than ask you to wait for a finished system before you see any value.
What happens when the engagement ends?
Most Femtus engagements are long-term, and clients own everything that is built: the definitions, the reporting logic, and the documentation behind it. There is no lock-in. If the relationship ends, what was built keeps working, because it was built from the start to be run without us.