Democratise insight across your business

Our problem solving approach is flexible enough to deal with variety, but repeatable enough that we ensure consistency in our application. Our team members apply their specific skill sets, leveraging approaches from analogous industries as much as traditional or bespoke methods.

We are excited by data continuing to become more prevalent, accessible and varied, it has given a name to what we have always done; Decision Science.
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FRAME THE CHALLENGE

Arguably the most important stage, where we ensure that we have clearly understood and defined the problem statement and the scope. Here we typically identify, refine or create a hypothesis, audit all data and conduct a structured assessment of the relevant end users and business process. This is where we confirm what we are solving.

 

CREATE THE BUILDING BLOCKS

This is when the creative ideas are generated and designs are sketched out for the solution, analysing data to validate our initial logic. We also develop and agree the test cases that will be used for later validation to satisfy the hypothesis. This is where we agree what success will look like.

 

DEVELOP THE CAPABILITY

Depending on the challenge, we will either be building a solution from first principles, or often leverage one of our existing proprietary analytical engines. We then iteratively test the logic, refining the algorithms and filtering the data inputs. This is where build our solution.

 

VALIDATE THE OPPORTUNITY

Through real word trials, and/or desktop appraisal, the hypothesis is evaluated and we test the solution against the agreed cases for performance and accuracy. We identify any future enhancements, revisions or opportunities. This is where we demonstrate the value.

 

DEFINE THE FUTURE

We complete a thorough summary, including an assessment of product readiness and an evaluation of any opportunity areas for further enhancement. We plan the next phase of development or deployment to deliver benefits.This is where we realise the value.

 

CASE STUDY

Merchandising Effectivness

Attribute modelling accurately identified, isolated and quantified the key drivers of store performance, uncovering 6.8% of incremental sales.

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PRODUCT BROCHURE

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