
Number crunching alone won’t provide the answers a business needs. Our team includes the best data analysts and data scientists who have strong communication skills and a practical business experience. Proactive and highly skilled in their use of data and data platforms, analytical, programming languages and cutting-edge analytical techniques.
We use a wide variety of statistical analysis and data visualisation techniques to solve your business problems.
We are technology agnostic, preferring to choose the right tools to solve specific problems.
Quest develops all of the measurements frameworks and KPIs that a business needs to fully monitor and track the effects of its customer interactions across all channels: digital, direct and above the line.
We go beyond a purely analytical approach to provide recommendations to the business on the best course of action.
Customer Analysis
Investigative analysis focused on understanding customer behaviour to help building and delivering customer propositions
Propensity Modelling
The building and deploying of models that predict future behaviour at an individual or summarised level
Propensity Modelling
Statistical approach used to group similar groups of customers based on their historic and current behaviour
Recommendation Engines
Tools used to deliver Next Best Actions to customers and business users
LTV Modelling
The analytical approach used to calculate a customer’s historic, current and future value to a business
Econometrics & Media Mix
The approach taken to understand and calculate the value of marketing, environmental and competitor activity at a macro level in driving customer sales
Attribution Modelling
The approach taken to understand the value of every marketing interaction in driving a customer outcome e.g. sales
Scenario Planning
Forecasting method used to allow businesses to test impact of different strategies on driving a desired out come
Next Best Action Models
The approach taken to understand and calculate the value of marketing, environmental and competitor activity at a macro level in driving customer sales
Price Elasticity
Price elasticity is a measure of the responsiveness of demand or supply of a good or service to changes in price
Market Analysis
The analysis of a market to understand the underlying trends and how they relate to each other
Digital Analysis
Analysis of customer digital behaviour to help improve future performance
Uplift Modelling
A specific type of predictive modelling used to understand the customers you can influence through contact and those that you can’t or will do the desired activity anyways
KPI Dashboards
Descriptive analysis tracking historic and current behaviour
CSI & NPS Drivers
The links between CSI & NPS that tie to business leavers
GIS / GEO Mapping
Analysis undertaken to understand behaviour and a geographical level