At Aviva, the data analytics team has worked with Dataiku to improve their process analytics and drive efficiency among auditors, cutting their time spent on audit work by about 50% while increasing the quality of the output.
Aviva’s Customer Data Science Team is 5x more efficient in developing data projects from beginning (building a model) to end (pushing into production) with Dataiku.
Aviva used Dataiku to build a machine learning-based solution for analyzing customer feedback. The solution reduced the need for manual effort for a cost savings of approximately £10k per month.
This solution, built in Dataiku, increased operational and resource efficiency through root cause labeling for incoming incidents, resulting in circa 700 hours MTTR (Mean Time to Resolution) savings per month.
Over the past several years, with the help of Dataiku, Aviva has deployed standardized, centralized, and modernized infrastructure for data and analytics.
「プロセスマイニングによって、分析を効率化し、今までの半分の時間で結果を出せるようになりました。さらに監査の面でも、カスタマージャーニーの潜在的な矛盾や不備をすばやく検出できるようになり、成果物の質が向上しました。」
Francisco Pavao Martins氏 Aviva、データアナリティクス部門シニアマネージャー