Use analytics to give you a competitive advantage.
Businesses increasingly need to curate and commoditise their data & analytics products at significant scale, across a widening variety of data. To do so requires analytics ecosystems that enable responsiveness to change and can handle increasing complexity, ensuring consumers can continue to meet demand for new insight.
Through a combination of business & technical leadership, as well as hands-on engineering and advanced analytics experience, our consultants work in collaboration with our clients to help them build and run successful data products.
Engineered solutions that meet your unique data & analytics needs.
Open up your organisation to new data & analytics products, greater innovation, and a deeper understanding of your customer through our capabilities and experience.
Data Mesh Delivery
Design and implementation of data & analytics services that enable cross-functional domain teams.
Data & Analytics Ecosystems
Bringing together data, analytics, and platform capabilities into a cohesive experience.
Open Data Frameworks
Free the data within your organisation and beyond.
Complex data engineering and machine learning that delivers enterprise value.
Helping build the foundations for sustainable data & analytics capabilities.
DataOps and MLOps
Effective operationalisation and curation of data & analytics products.
See how we solved these challenges for our clients
Podcast: MLOps best practices: Part 2
Credera is excited to announce the release of our latest podcast: 'MLOps best practices: Part 2.' This podcast, which is available on iTunes, Spotify, Google, a...
The value proposition for MLOps
Machine learning has evolved into a necessity for organisations that wish to improve customer experience, reduce costs, and build innovative solutions to comple...
Understanding data and analytics maturity: How it’s critical to your digital success
In this six-part series, we discuss how our data & analytics maturity model can help organisations prepare their programmes for success. In recent years, gl...
Pocket guide: Realising a data mesh architecture
In this pocket guide, we offer advice on how organisations can successfully implement a data mesh architecture and realise its benefits.
Understanding data and analytics maturity: A focus on Data Services and Compliance
In previous articles, we have discussed several important aspects of our data & analytics maturity model and how they contribute towards successful transfor...