In this blog post, we will be summarising a session titled “How local businesses are rapidly achieving global scale on AWS” from the AWS Sydney Summit 2023.
Startups possess an inherent allure due to their ability to tackle challenges, assist customers in problem-solving, and achieve rapid growth. As these startups evolve and find scalable business models, they become catalysts for inspiring future ventures. Through this blog post, we will explore how startups have harnessed the power of data analytics, machine learning (ML), and AWS as a Software-as-a-Service (SaaS) platform to maximise their potential.
In the world of fast-paced technologies, one of the biggest challenges new companies face is maintaining their ability to meet growing customer needs and, at the same time, save costs, and gain customer trust by having security and governance at the core of the system. The stories that we cover below demonstrate how AWS helps bring value to the startups so that they can focus on their main revenue model.
Achieving More with Less
One of the key advantages of leveraging data analytics, ML, and AWS as SaaS, is the ability to achieve more with fewer resources. By harnessing the power of AWS, startups can make faster and better-informed decisions, reduce manual monitoring intervention, and allocate more time and effort to growing revenue. This leads to increased efficiency and streamlined operations, ultimately driving high-growth results.
Scaling with IoT Data
Startups like Halter, a company focused on bringing technology back to the farm, have successfully scaled their operations by leveraging AWS IoT and data analytics capabilities. Halter developed a solar-powered electronic collar that monitors the behaviour and location of cows, enabling farmers to remotely manage their herds. By utilising LoRa for field connectivity and AWS services such as AWS IoT Core, Kinesis Data Analytics, and Amazon Athena, Halter has empowered farmers to increase productivity, improve animal welfare, and optimise milk production with the power of real-time insights.
The following picture gives an overview of the AWS services leveraged by Halter to continue on their IoT journey.
ML-Powered Revenue Generation
Rokt, a global leader in e-commerce technology, has utilised AWS to drive incremental revenue for its clients by presenting targeted messages to customers at the moment of conversion. Rokt’s ML models, running on EC2 instances managed by Amazon EKS, enable hyper-targeted marketing strategies. With AWS services like Amazon MSK, Amazon Redshift, and Amazon DynamoDB, Rokt ensures low latency, scalability, and high availability for its operations. The adoption of AWS has significantly reduced costs and improved performance, allowing Rokt to scale rapidly and serve billions of transactions annually.
The following picture gives a more detailed look into the system architecture utilised by Rokt to scale using the power of ML.
Streamlined Customer Support with SaaS
Local Measure, a Sydney-based startup, provides businesses with a platform for generating genuine connections and delivering anticipatory customer service. By integrating with Amazon Connect and leveraging AWS Marketplace procurement mechanisms, Local Measure has been able to support remote work and offer superior customer experiences. With lockdowns and travel restrictions creating an even higher level of demand, AWS helped Local Measure to scale, decrease turnaround times and achieve an even better customer experience as the stress level at a time when the local public was higher during the pandemic. AWS Marketplace simplifies vendor onboarding, provides standardised terms, and offers security and compliance insights, enabling seamless scaling of call centres. The combined power of Amazon Connect and Local Measure has resulted in significant cost savings and faster agent training.
Conclusion
The transformative impact of data analytics, ML, and AWS as SaaS cannot be overstated for growing companies. By embracing these technologies, all companies can achieve remarkable results with limited resources, scale their operations efficiently, generate revenue through ML-driven strategies, and streamline customer support processes. AWS provides customers with a comprehensive suite of tools, managed services, and a reliable infrastructure that enables them to focus on their core competencies and propel their growth. As more companies continue to push boundaries and shape the future, AWS remains a steadfast partner in their journey towards success.
