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Case Study: Moneta cuts operational costs by two-thirds and doubles feature time-to-market with Databricks

Moneta Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Moneta
Industry
Financial Services
Challenge
Legacy systems couldn't handle data volumes across channels.
Headline result
Scaling analytics across digital banking channels

Key results

2/3
Reduction in operational costs
2x
Faster time-to-market of new features

The challenge

Moneta, a bank, ran legacy analytical systems that couldn't handle massive data volumes across its digital channels, slowing time-to-insight and impeding innovation such as real-time recommendations and fraud detection.

The solution

Moneta implemented the Databricks Data Intelligence Platform on AWS for a fully managed, scalable environment unifying data engineering and ML workflows with collaborative multi-language support.

The results, in context

Moneta reported a two-thirds reduction in operational costs and a 2x faster time-to-market for new features.

Products used

Databricks Databricks Data Intelligence Platform