Tesco Petrol Filling Stations asked us to test Momentum 99 to independently verify their claims of improved performance.

Emissions Analytics was asked to provide a real-world perspective on the improvements in fuel consumption when using a premium fuel. The methodology included multiple urban cycles with steady-state running at a range of higher speedsat a test track.

For analysis, each test was broken down into multiple sub-samples to prove repeatability and assess statistical significance of the change between using Momentum 99, Tesco standard fuel and un-additised fuel.

Diesel HGVs were compared with diesel/CNG vehicles in a three year study.Emissions Analytics undertook a three-year trial part-funded by Innovate UK to evaluate the impact of natural gas on emissions and fuel economy. The project partners include Howard Tenens, John Lewis Partnership, CMS Supatrak and Lenham Storage.

PEMS data is recorded at a rate of one reading per second. This allows an in-depth analysis of how dual-fuel running affects emissions in order to identify when dual-fuel operation is most beneficial, for instance in urban operation or steady-state motorway driving.

Working with King’s College London to develop an emissions inventory for the construction industry.

The recession of the early 2000s helped reveal the short-coming of the existing models for pricing used cars, which were typically skewed to support residual values to the detriment of private buyers. The requirement was to develop an analytical engine to track in real-time actual market-clearing transactions prices.

Oxford Indices developed a system to gather real-time raw data, perform a quality analysis, parse the data into a structured format and then perform statistical modelling in order to derive valuations that were updated daily.

This approach became progressively mainstream in the industry and publicly available valuations now have a higher level of accuracy.

Oxford Indices was asked by a major global motor manufacturer to set up a service to track the tactical marketing spend of both its dealers and those of its rivals. This included all forms of overt and covert promotion. This market was opaque, with challenging data collection and analysis.

Oxford Indices employed a number of complementary research methods and analytical techniques, particularly to establish a value for non-cash offers. Results were delivered via an easy-to-use web service.

The result was that the capture of tactical marketing spend of its dealers and their rivals became more timely, accurate and complete. From this, its own campaigns could be optimised to deliver a greater return on investment.

A national newspaper and their distributors sought to improve both the sales and efficiency of its national daily title, by understanding the underlying demand patterns for its title and how copy could be allocated explicitly to achieve its objectives.

Oxford Indices used a combination of non-Gaussian discrete probability distributions, conditional probability calculations and harmonic analysis, combined with significant computing power to deduce the answers.

The result was that significant missed sales opportunities were identified, in addition to some complementary efficiency improvements. These results were then used to inform the live allocation of copy to individual outlets to maximise sales.

An online professional community wanted to leverage its user base by building more detailed profiles of their characteristics and behaviour, with a view to increasing revenue generation.

Oxford Indices researched the market need among potential customers, analysed the data requirements and developed a service for capturing and deploying the profile information. A real-time predictive profiling model was created to understand likely member behaviour.

The result was a fully-formed new product development case for a service that would improve the client offering. The goal was to achieve higher yields from existing customers and to create new revenue streams, thereby positioning the business ahead of the main incumbent.