Data Science Consulting
Over twenty years of experience in data science and predictive analytics. We provide solutions, with validated machine learning models, for customer churn prediction, predictive maintenance, credit risk modelling, forecasting, sentiment analysis etc
We can help with POCs, pilots, end to end projects and AI transformations, that accelerate competitive advantage.

Data Science Proof of Concept (POC)
Duration: 5 days effort
Scope and expected time breakdown:
Data preparation: 2 days
Modelling & validation: 2 days
Delivery of best model(s): 1 day
Please Note: 5-day POC time-frame, limits the time available for data acquisition, cleansing, prep and modelling. For more of a complete solution, please see pilot projects or end to end solutions below.

Data Science Pilot Project
Duration: 20 days effort
Scope and expected time breakdown:
Data preparation: 10 days
Modelling & validation: 7.5 days
Delivery of best model(s): 2.5 days
Please Note: Delivery includes handover, training and documention. Time-frames will depend on data quality and the number of data sources.

AI transformations and end to end solutions
Automated end to end solutions
Prescriptive Analytics
AI transformation programs that help your organisation accelerate competitive advantage.

Dashboard in a Day
Duration: 1 day effort
Scope: Visually explore data to understand trends and outliers.
Deliver interactive descriptive analytics dashboard that highlights key insights.

Interactive Advanced Analytics Dashboard
Duration: 10 days effort, from a lead data scientist
Scope: Visually explore data to understand trends and outliers.
Deliver interactive descriptive and predictive analytics dashboard that highlights key insights. Includes data science.

Interactive Advanced Analytics Dashboards with data science, geoanalytics and real-time
Dashboards with forecasts, predictions and what-if scenarios that highlight key events.
Selected Use Cases
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