Are you still spending a lot of time collecting, cleaning, and consolidating data before every report?  

Picture a Monday you already know too well

It is the first working day of the month, and the production report is due to the leadership team by Wednesday. A production engineer pulls volumes from one industry platform. A finance controller exports cost figures from the ERP. Someone in operations opens the maintenance system for downtime hours, and someone in HSE keeps a separate spreadsheet of incidents. Each of them is good at their job. Yet all four are, at that very moment, doing more or less the same work: hunting for numbers that already exist somewhere and copying them into a workbook by hand.

By Wednesday the report is finished. It looks professional. But two of the figures do not match a report another department sent last week, nobody is quite sure which version is right, and three people have lost the better part of two days to the exercise. Next month it will all happen again, from scratch.

The real problem: the data exists, but it is locked away

Most oil and gas companies are not short of data. They are sitting on mountains of it. The trouble is that the information is scattered. It lives across shared industry platforms, internal systems, and a long tail of manual spreadsheets, each held by a different person. So every time a report is needed, the search starts all over again.

The familiar quick fix follows: a manually adjusted Excel sheet, a chart pasted into a slide, and hours spent gathering information that should already have been at everyone's fingertips. It works once. It does not scale, and it quietly erodes confidence in the numbers.

Why disconnected systems create disconnected insight

When every department builds its own extracts from its own sources, friction is guaranteed. The same manual task gets done several times over by different people. Two reports end up giving two different answers to the same simple question. And the whole thing runs late, because freeing up and assembling the data takes serious effort every single time.

This is the part that should worry a finance leader most. Disconnected systems do not merely waste hours. They chip away at trust in the figures, and once leadership stops trusting the numbers, every decision gets slower and more cautious than it needs to be.

Fix one: let the data flow on its own

The first move is to stop treating each report as a fresh expedition. Instead of people manually fetching data, the data pipelines are connected once and then run continuously. That means wiring in the industry platforms an energy company already depends on, such as Collabor8, L2S, FactPages, and EC, EnergyX, or Avocet, alongside finance, the maintenance system (CMMS), HSE, and any other internal or external source that matters.

Those feeds are pulled together into structured, reusable, and transparent data models. Once that is in place, reporting stops being a project that gets kicked off in a panic before every deadline. It happens quietly in the background, so the numbers are ready before anyone asks for them.

Fix two: build the model around a real problem

Technology on its own is not the answer, and this is where many projects go wrong. What matters is that the data models are built to solve an actual business problem, not built first in the hope that a use will turn up later. The principle is deliberately simple: start with the problem, then build.

With genuine domain knowledge of how the energy industry works, it is possible to design robust models that automate both reporting and data sharing while keeping everything consistent and governed. In plain terms, the numbers add up no matter which department pulls them, because they all draw on the same well defined source.

The result: insight that is always ready

When automated flows and purpose built models are both in place, reporting changes character completely. It becomes a byproduct of running the business rather than a task in its own right. People spend their time analysing and acting on what the data tells them, instead of collecting it and checking it by hand. KPIs update continuously, and the same information can be viewed from whatever angle a given decision requires.

For the company in our Monday story, three things change in practice. There is one consistent set of figures across departments, so everyone works from a single version of the truth. Data is shared with governance built in, so there is clear control over who sees what and how. And reporting shifts from days of manual assembly to a continuous, automated flow. The report that used to eat two days of three people's time is simply there, correct, when the leadership team logs in on Monday morning.

Get started

This is the work we do at Avito. We help energy companies connect their scattered data into automated flows and purpose built models, so that Data Management and Data Governance stop being back office chores and start delivering numbers the whole business can trust.

If your team is still rebuilding the same report every month, that is usually the best place to begin. We would be glad to have that first conversation.

Get in touch for an informal conversation about how your business can make reporting a byproduct not a project?