Aviva: Powering Insurance With Data, Machine Learning, & AI
Aviva has been using Dataiku for many years to build a range of data analytics and machine learning use cases, ultimately forwarding their “customer first” mission.
50%
time saved on data analytics audit work
98%
reduction in lead time for data project deployments
75%
improvement in time-to-market for data projects, from idea to production
In the past, Aviva had no integrated analytics platform. The data stores were siloed, analysis was run on on-premise commodity hardware, and it was underpowered — not to mention expensive. Very few people could use any data at any scale, and different parts of the organization used different technologies, adding to their analytics challenges.
Today, Aviva has a standardized, centralized, and modernized infrastructure for data and analytics. The most important part of this is the Dataiku workbench, providing consistent connectivity to all the source datasets, a uniform platform to operate analytics functions, appropriate governance and controls, and standardized deployment of models and workflows to production.
“The most beneficial thing about Dataiku is having everything in one place, so you don’t have to go from one program to another to another and have them work all at the same time. Dataiku takes away that hassle.”
Ayca Kandur
Data Scientist at Aviva
In the past, deployment on their antiquated platform could take multiple weeks versus an overnight deployment in Dataiku. The change means a nearly 98% reduction in lead time for deployments. Dataiku has also brought dramatic improvements in working practices by removing silos and allowing data analysts, data engineers, data scientists, and IT teams to work together in the same tool set. This led to a 75% improvement in time to market from idea to production.
“If you have the wrong tools in place, you can fly solo – you can get away with inefficiencies and hide your mess a bit. Dataiku changed our team atmosphere and culture for the better through sharing capabilities.”
Tom Spencer
Head of Customer Data Science at Aviva
At an Everyday AI London session, Tom Spencer shared a few thoughts about Dataiku. Learn how Dataiku enables collaboration at Aviva, and more!
Data, Machine Learning, & AI Use Cases at Aviva
In the past five years, the IT platforms team at Aviva has gone from major transformation projects to improving the infrastructure, delivery, and availability of Dataiku. This allowed Aviva to roll out Dataiku to an ever-growing audience of users, from around 10 data scientists to roughly 250 data scientists and 2,000 data and AI consumers.
This, in turn, enabled widespread consolidation of tooling used in Aviva that produced sizable savings in licensing costs and hosting infrastructure costs, plus gains in the efficiency of support that comes with a reduction in tools used across the organization.
Here are just some of the data, machine learning (ML), and AI use cases in play at Aviva, built with Dataiku.
INDUSTRY
Insurance
FOUNDED IN
1696
HEADQUARTERS
London, UK
TECH STACK
Dataiku + AWS + Microsoft Azure + NVIDIA + Snowflake
KEY DATAIKU CAPABILITIES
CUSTOMERS
18+ million
ABOUT THE COMPANY
Aviva is a British multinational insurance company with customers across its core markets of the United Kingdom, Ireland, and Canada. In the United Kingdom, Aviva is the largest general insurer and a leading life and pensions provider. Aviva is also the second largest general insurer in Canada.