Profit that cannot be explained
“Revenue is growing, but we cannot see where the profit goes.”
Investigate customer, product and cost-to-serve economics.
Oblongix Advisory Advanced Analytics
Bring us your hardest business problem.
Some business problems resist conventional approaches. The causes are unclear, the constraints conflict, or the evidence is incomplete. We explore whether advanced analytics can reveal a practical way forward—and test what it would take to make it work.
Illustrative situations, not client case studies
Does any of this sound familiar?
Conflicting operational constraints
“Every change to the schedule creates a problem somewhere else.”
Explore better choices across capacity, staffing and service requirements.
Uncertain impact
“We invest in interventions, but do not know which ones actually work.”
Assess impact through experiments or causal analysis where the evidence permits.
Decisions with incomplete evidence
“We must make a major decision before we have all the information.”
Model scenarios, uncertainty and the value of gathering more evidence.
Prediction without effective action
“We can predict a failure, but cannot prevent it economically.”
Connect predictions with intervention costs and operational choices.
Repeatedly unsuccessful approaches
“We have tried several solutions, but the problem keeps returning.”
Re-examine assumptions, evidence and how the problem has been defined.
Feasibility before promises
What determines whether we can help?
Your description of the problem and the information you are prepared to share are the starting point. We also need to understand what success means, what can change, and how a result could be tested.
The problem and the desired outcome
What decision needs to improve? Why is it difficult? What would count as success, and what has already been tried?
Available information
What relevant data, documents and observations exist? How reliable are they, and what can be shared?
People and new evidence
Can we speak with people who understand the situation, observe the process, collect additional information or run an experiment?
Freedom to act and practical limits
What can the business change? What constraints apply to budget, time, systems, information use and acceptable risk?
A credible analytical route
Is there a defensible method for addressing the problem, and can the necessary expertise be assembled?
Proof and business value
How would we compare the result with today's approach? Would the potential improvement justify the effort and cost?
Sometimes progress comes from a better model. Sometimes it comes from reframing the question or creating evidence that does not yet exist.
Engagement approach
From difficult question to tested outcome
Assess the challenge
Clarify the problem, the value at stake, the available evidence and the main obstacles.
OutputA feasibility view, information gaps and a recommended next step.
Prove the approach
Test the assumptions that matter most through a focused investigation, experiment or prototype.
OutputEvidence of whether the approach improves on the current baseline.
Put the solution to work
Integrate a successful approach into decisions, processes or systems.
OutputA usable solution, agreed ownership and a way to measure performance.
The initial enquiry starts a conversation. Any assessment or delivery engagement will have an agreed scope and commercial terms before work begins.
Possible assessment conclusions
An honest answer about what is possible
Following an assessment, the recommendation may be:
Ready to tackle
A credible approach, sufficient evidence and a testable outcome.
Worth investigating
A promising route with a specific uncertainty to resolve first.
Blocked for now
Progress depends on additional information, access or the ability to make changes.
No credible analytical route identified
Explain the limitations and whether a different approach is more appropriate.
Start a useful conversation
Tell us about the problem
Describe the situation in your own words. A short, non-confidential outline is enough to begin.
What happens next?
We prepare a labelled email for you to review. Nothing is sent until you choose to send it from your own email application.
Ready for your review
Your enquiry email
Frequently asked questions
Before we begin
Do we need a large or complete dataset?
No. The starting point is the decision or problem. We will explore whether existing information is sufficient and whether new evidence could be obtained.
What if we cannot share sensitive information initially?
Start with a non-confidential description. We can discuss appropriate information-sharing arrangements before reviewing sensitive material.
Do you guarantee a solution?
No. We assess whether there is a credible route, test the important uncertainties and explain the limits of the evidence.
What might the outcome be?
A clearer decision, a tested model, an experiment, an optimisation approach or a working decision-support tool. It may also be a well-supported conclusion that a proposed approach is not viable.
Is this only about AI?
No. The method follows the problem. It may involve statistics, optimisation, simulation, causal analysis, machine learning or a combination of approaches.