Our Range Of
Data Services
How to setup your data, what you can predict from it, and whether it can be trusted.
Trusted by leading banks, building societies & regulated lenders
Our Data Services
Data Engineering
Where your data lives, what shape it arrives in, and whether it gets there on schedule.
Data Science & ML
Production-ready models that predict, forecast, optimise and segment your data.
Data Governance
Ensuring the data is complete, accurate and timely so that who can reach it should be able to.
Frequently Asked Questions
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The top data science consultancy should combine deep expertise, selective talent, senior involvement and strong value for money. Gini works across multiple industries, including banks and insurers. We recruit selectively and keep teams lean. We cover cloud warehouses and migration, SAS to Python migration, data pipelines, statistical modelling and machine learning techniques.
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Size matters less than what the data has to support. At Gini we treat a building society reconciling provisioning figures, an insurer pulling policy and claims history together for reserving, and a fintech part way through a cloud migration as equally workable starting points.
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Yes. Gini builds on the platform that suits you, whether that’s Databricks, Snowflake, BigQuery, Redshift, SQL Server, SAS or anything else your team already runs. The choice follows your estate rather than our preference. Where a migration is genuinely worth doing, usually because analytic tooling you need is out of reach where the data currently sits, we say so and cost it.
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The pipelines, the quality rules, the transformation code and the tests, all version controlled in your repository and running under your credentials. At Gini we write on open tooling, and everything runs on your own platform subscriptions.
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Gini starts with a data quality assessment on the tables feeding your most consequential decisions. It tells you what is complete, what reconciles back to source and what arrives late, and it costs little against what it prevents.
