Overview
Our approach to statistical data analysis emphasises four key features:
- simplicity and clearer statistics for greater insight and understanding
- selectivity to provide focus and to streamline information delivery
- sophistication of method to deliver outstanding analytic results
- goal-driven analysis to optimally support ultimate decision-making
Methodologically, we advocate the use of Bayesian statistical techniques, which we believe can convey real advantages throughout the analysis and decision-making pipeline.
Related information
Principal Features
Our approach to statistical data analysis has evolved through many years of experience of theory and practice in the field — from developing and patenting new statistical algorithms to delivering complex analytic software solutions to a world-wide audience. We list below (with links to further information and examples) some key aspects of our analytic approach that can offer genuine advantages to clients.
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Simplicity — insight & understandingWe employ a range of techniques designed to "simplify" the understanding of the data from the client perspective. We avoid delivering analysis that relies on interpretation of statistical jargon (e.g. "the p-value is 0.2"), and instead focus on leveraging principled statistical techniques to present meaningful information in its most intuitive form. More |
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Selectivity — relevance & automationWhich data is relevant? Which analyses are meaningful? Which results are informative? To answer questions such as these, we offer a range of highly-principled statistical techniques designed to automatically extract the key information from large quantities of data. This methodology can be advantageously exploited across the board, efficiently empowering highly-focused analysis, automated reporting and streamlined software. More |
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Sophistication — knowledge & innovationGetting the most out of data means being able to judiciously and effectively apply the most sophisticated statistical methodology. We can offer clients the advantage of our outstanding knowledge of many of the most effective "state-of-the-art" data-analytic techniques, including Bayesian statistics, machine learning, predictive modelling, and neural computing. More |
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Goal-driven analysisWe tackle each analytic problem individually according to its merits, with careful reference to the ultimate objectives and the decision-making context. We don't simply feed the data through a pre-determined set of off-the-shelf statistical tools and pass on the results. |
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Software solutionsAll of the analytic work that we can do "on paper", we can also integrate into software. We have the ability to develop UI-driven applications on various platforms, all of which can build on our sophisticated numerical software libraries. More |
Beyond Statistics?
Are you facing an analytic problem that seems too challenging for "statistics as we know it"? If so, then please get in touch. We have over 15 years' experience in data-analytic R&D, and have acquired an internationally-recognised reputation for innovation in the field. Our capacity to extend the state-of-the-art and craft original solutions to demanding technical problems might be exactly what you need.
