Technology Category
- Infrastructure as a Service (IaaS) - Public Cloud
Applicable Industries
- Finance & Insurance
- National Security & Defense
Applicable Functions
- Product Research & Development
- Sales & Marketing
Use Cases
- Demand Planning & Forecasting
- Usage-Based Insurance
Services
- Cloud Planning, Design & Implementation Services
About The Customer
33Bondi is a technology, product, and design consultancy based near the iconic Bondi Beach in Sydney, Australia. The company helps businesses develop technology-dependent ideas and turn them into revenue-generating products and services. The team at 33Bondi includes Technology Lead Jim Watts, Marketing Lead Steve Muller, and Creative Lead Jonas Allen, and their backgrounds span well-known brands such as Fairfax Media, Atlassian, Unilever, Heineken International, and the Mambo fashion label. The company supplements its in-house capabilities with a designer based in Italy, engineers in India, and project managers in Australia.
The Challenge
33Bondi, a technology, product, and design consultancy based in Sydney, Australia, was faced with the challenge of delivering powerful advertising, marketing, technology, and transactional solutions to clients within tight timeframes. The company needed to manage spiky demand, particularly when sending out large volumes of emails to a user base of approximately 20 million. In one specific case, a bicycle insurance company wanted to launch a web presence in Australia, the United Kingdom, and the United States within 12 weeks, and needed to partner with a prominent social network for athletes. This required 33Bondi to create multinational web presence incorporating full transactional capabilities within a very short period. The company also needed to ensure that the solutions they provided met key security and compliance requirements, and instilled confidence in their clients.
The Solution
33Bondi turned to Google Cloud to overcome these challenges. Google Cloud's ability to manage spiky demand allowed 33Bondi to scale horizontally to meet demand, with costs rising in a predictable, controllable fashion. For the bicycle insurance company project, 33Bondi launched websites with transactional capabilities in each targeted market well within the 12-week deadline. Each website runs in Google App Engine to scale in line with demand. 33Bondi also used Google BigQuery to analyse data provided by cyclists to the insurance company in return for free products. The company plans to deploy Google Cloud Pub/Sub message-oriented middleware to further decouple its front- and back-end systems, and Google Cloud Dataflow to process batch and streaming data for analysis through Google BigQuery.
Operational Impact
Quantitative Benefit
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