Who we are and what we do
(page down for a sampler of our completed projects)
William John Grant (Bill), Principal, AllGo Analytics Limited
AllGo Analytics Ltd has been established to focus on delivery of applied analytics and market research for clients to help manage the challenges they face, to truly realise the value inherent in their own data (including enhancement by linking to publicly available data sets), and to gain business and market insights in a balanced and cost-effective manner.
I have over 20 years of experience in these fields in finance and government, crossing organisational boundaries and linking the perspectives of front-line business and head office support functions and bringing excellent interpersonal skills, and a strong record in presenting to and influencing senior management
Proven problem solving skills together with a continuing theme of implementation and successful operation of progressively more sophisticated techniques, tailored to the needs and capabilities of the organizations I have worked with.
Broad experience in systems and analytics management and development has meant I have successfully fulfilled roles ranging from owner, sponsor, project manager and subject matter expert.
What we have worked on
Survey Analysis and Visualisation
Work on extracting key survey messages from results and presenting them in a value-added fashion for easy comprehension and action. Identifying significance of differences between responses to different sections of a survey and creation of word clouds and sentiment measures for non-numeric (comment) responses .
Survey Response analysis
Statistical review of response rates and representativeness and, in a separate assignment, scoring and classification of survey responses, creation of predictive model.
Auckland Housing Data - frequent purchases and sales analysis
An analytical proof of concept designed to bring out relationships between high-frequency buyers and sellers and the suburbs where these transactions occur. Data re-organisation for analysis, clustering, and social network analysis were key activities.
Data Analysis (café business)
Trading data analysis for a food service business, highlighting seasonal changes in product mix, impacts of staffing changes and providing a review of the opportunities available from linking daily transaction data to payments details to gain greater insight into customer ordering preferences and who your key/frequent customers may be.
Quantitative Risk Assessment (QRA)
Utilizing Monte Carlo simulation to provide insight on project components and costs, for major project detailed business case resulting in multi-dimensional, holistic project cost prediction.
Demonstrating repeatable process for analysis and how that might translate into saleable products.
Risk Management and Customer Analytics
Providing expert advice on technically or procedurally complex operational and compliance risks. Risk scoring framework for customer compliance developed and implemented. Risk culture research and promotion together with issue analysis and development of risk training.
A series of reports, focussing on likely major future changes.
Business and Market Benchmarking and Rule Generation
Using behavioural data to introduce predictive methods for customer management.
Customer Analysis and Scoring
For a major govt. agency to gain insights into customer actions and performance.