Data Strategy

Data Strategy and Governance

Discover essential resources for building and implementing effective data strategies in your organisation. From data governance frameworks to fostering data literacy, we provide comprehensive guidance on creating a data-driven culture.

Our data strategy content covers critical topics including data governance, data security and privacy, DataOps practices, data platform architecture, and building robust data warehouses. Learn how to establish proper data collection and storage practices, ensure data quality, and implement security measures that protect sensitive information.

Whether you’re developing your first data strategy or maturing existing data capabilities, our resources help you navigate challenges around data culture, literacy, and science. We focus on practical approaches that balance innovation with responsible data management, helping organisations unlock the full value of their data assets through business intelligence, analytics, and effective visualisation.

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.