Data and Analytics

Trusted data

The business world has generated more data in the last 10 years than it did in the previous 100. To properly unlock the value of data in your organisation, it’s important to set a sound data strategy. We look at the full scale of how you use data, so we can transform how you use it and make it more useful, reliable and trustworthy.

Data strategy

A good data strategy is ambitious and high-impact, but also practical. We’ll work with you to create the right one for your business objectives.

We will:

• take you through a data strategy assessment
• look at how data creates value in your business, including how you handle metadata, data quality (DQ), master data (MDM), reference data, tooling, and retention and deletion
• engage with stakeholders to double-check priorities, understand how they use data, and get them on-side
• define your data strategy, success measures and roadmap
• create a data-literate culture in your organisation.

Data governance

We design, set up and run data governance capabilities to solve business problems, reduce risks and deliver tangible value.

To do that, we:

• assess your needs, then design an organisation and operating model
• develop policies and processes
• establish ownership and data forums to bring your data under control
• build data monitoring
• remediate your data so it’s secure, good quality and useful.

Data architecture capability

We establish the people, processes, skills and tools to effectively manage and leverage data in your organisation.

To do that, we:

• clarify the outcomes you’re looking for and the capabilities you’ll need to get there
• define operating models and processes
• create the tools you’ll need to succeed, including data models, data platform architectures and design patterns
• establish and run design authorities and other structures to govern the architecture.

Data platforms

We set up data platforms that get results - whether that’s designing and building them from scratch, or re-architecting, simplifying and automating what you’re already working with.

To do that, we:

• design and build data warehouses, lakes and pipelines—what we call data engineering
• choose the right technology for the solution (we’re vendor-independent)
• set up or supplement your dev ops, data ops and machine learning (ML) ops teams
• deliver cloud, on-prem and hybrid solutions, including AWS, GCP, Azure and others.