Tide is Increasing Innovation Through Data-driven Business Decisions Built on AWS Machine Learning

A Amazon Web Services Case Study

Case study about Tide working with Amazon Web Services.

Tide

Chanchal Singh

Head of Data Engineering

Tide is the leading business financial platform in the UK. Tide helps SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable administrative solutions. Tide has around 500,000 SME members in the UK (more than 9% market share). To leverage the advantages of cloud-based data infrastructure - such as scalability, administration, security, and ease of use for its various stakeholders - Tide has begun migrating its data operations to Amazon Web Services (AWS) over the last few years. During the assembly of building blocks for its machine learning (ML) and data warehouse platform, Tide relied on various solutions procured from the AWS Marketplace including Snowflake, Tecton, Databricks, and Fiddler AI. By using quick payment methods and maintaining them in one central location, they can stay focused on rapidly generating new business insights. Additionally, the use of standardized contracts shortens the procurement cycle by saving weeks of upfront negotiation time. Essential features such as standardized contracts, quick payment methods, centralised contract management, and machine learning models are made more reliable and efficient with solutions from the AWS Marketplace.


Amazon Web Services

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