Archived Content

This section contains our archived content, including historical resources, legacy documentation, and past offerings. While some specific details may have evolved, much of this content remains valuable for understanding our company’s journey and the development of our solutions.

You’ll find archived app documentation, technical glossaries, information about previous offerings, and technology stack overviews. These resources provide historical context and may still be useful for understanding foundational concepts and approaches.

Please note that current product information and documentation can be found in our main content sections. This archive is maintained for reference purposes and historical continuity.

What is Amazon S3?

Amazon S3 is described by Amazon as “object storage built to store and retrieve any amount of data from anywhere”. Similar to Google Drive in that it can store many different data types, Amazon S3 makes it easy to meet the data needs of large and complex web applications - including Netflix, Airbnb, and Amazon itself.

What is AWS Redshift?

Amazon Redshift is a cloud-based data warehousing solution that allows you to store, transform and query vast volumes of data at high speed.

What is data science strategy?

Data science strategy refers to a company’s vision for how data will be used to help achieve the company’s business goals, how to build a thriving data culture, and how to address the skills and knowledge required to execute this vision.

What is data strategy?

Data strategy refers to a company’s vision for how data will be used to help achieve the company’s business goals. This enables companies to analyse progress and make better business decisions, but it also helps to create a thriving data environment where it can be easily shared and accessed, safely stored and standardised, and viewed as a central resource to all departments.

What is AI strategy?

AI strategy refers to a company’s vision for how AI will be deployed to help achieve the company’s business goals. It should be closely linked to your data strategy and hence to your business objectives.

What is data science consulting?

Data science consulting is a service that will help your organisation develop a data science strategy and implement data science solutions. You may need a consultant to help you start integrating data science into your business strategy, or to help keep your projects on track.

What is data science auditing?

Data science auditing is a review of your data science solutions to assess their quality, security and compliance. This helps businesses produce good quality data science solutions.

What is data platform development?

A data platform is a service that includes data collection, storage and analysis. Developing a data platform creates a central service that encompasses a data warehouse, business intelligence tools, and a suite of data science and analytical environments.

What is data platform auditing?

Data platform auditing reviews your data platform against fitness for purpose measures such as security, compliance and structure. This helps businesses ensure compliance and protect assets and data, by reviewing and improving the security of your data platform.

What is data platform security auditing?

Data platform security auditing reviews the security of your data platform and provides recommendations for improvements. This helps businesses ensure compliance and protect customer data.

Archived Content