Predictive Analytics Consulting
See what’s coming.
Plan for it.
Use your data to predict what matters to a business decision. We define the question, check the data and test models against a meaningful baseline, so your team knows how far to trust each finding.
Decision definition / Data assessment / Evaluation and interpretation
Somerset West, Cape Town Working globally
A few of the brands we’ve worked with
Start with the decision
A useful prediction
needs a clear purpose.
The value of a prediction depends on the decision it helps someone make. The information available at that point, the quality of the data and the consequences of being wrong all shape the work.
We assess those conditions before recommending an approach, then explain what the results can reasonably tell your team.
Assess the analytical opportunity
From available data
to considered decisions.
A feasibility review may be the useful first phase. Further analysis depends on whether the information and evaluation method can support the question you want to answer.
01
Problem definition
We clarify the decision a prediction would support and when that decision is made. This identifies the information actually available at the time and gives the analysis a concrete purpose.
Decision and prediction brief / Available-information boundary / Evaluation objective
02
Data assessment
We review relevant data for completeness, consistency and suitability for the question. You find out early whether your data can answer the question, before you invest in a full model.
Data-quality review / Suitability assessment / Evidence gaps
03
Modelling and evaluation
We compare candidate approaches with an appropriate baseline and assess performance using held-out data where feasible. The evaluation examines whether the approach adds useful information for the decision under review.
Analytical approach comparison / Baseline evaluation / Performance findings
04
Business interpretation
Every finding comes with its confidence level and assumptions in plain language, so the people making the decision know where the analysis helps and where their judgement matters most.
Findings in plain language / Confidence and assumptions / Recommendations for use
Working together
A clear way
to work together.
The people making the decision help define what would be useful. We connect their context to a review of the data and a practical evaluation approach.
01
Understand the context
Discuss what you want to anticipate, the decision involved and the information available today.
02
Plan the project
Agree the question, data access, how results will be tested and who acts on them.
03
Build together
Assess the data, build the analysis and review the assumptions with your team.
04
Review what comes next
Review the results together and decide what to use, refine or scale.
The wider picture
Connect the plan
to the work.
Predictive work depends on dependable measurement and an understanding of the wider business process. Digital analytics can help clarify the data foundations before a predictive approach is considered.
Explore related services
A useful question about the future
Which decision needs
a better view ahead?
Tell us what you want to predict and what data you have. We’ll tell you what’s possible and what it would take.
A 30-minute conversation to explore your priorities and agree the next step. No finished brief needed.