Data Engineering

Rittman Mead understand the importance of robust data engineering practices and procedures in order to enable organisations gain the maximum value from their data. From traditional ETL/ELT methods for relational database reporting through to management of larger, unstructured streams of data, Rittman Mead have the necessary skills, experience and accelerators to help companies succeed.

Enterprise Analytics

Delivering Enterprise grade Analytics solutions to customers around the world has been Rittman Meads forte for over a decade. Helping companies select the right supporting tools, have the correct development and release procedures in-place, and deliver engaging and actionable visual insights to business users is at the heart of what we do.

Data Science

Rittman Mead has developed a set of processes and methods to enable organisations to optimise predictive and machine learning based projects. We can assist with defining a business case and metrics to measure it; acquiring, ingesting and cleaning the data; model building; and integrating the model into your production environment. Our approach can either help get you started or enhance existing capabilities.

Insight Lab

Rittman Mead's Insights Lab service enables you to access the latest data science and predictive analytics techniques and apply them to your data. More...

Unify

Enable Tableau to easily explore and visualise governed data from your Enterprise Reporting systems. More...

Performance Analytics

Enhance system performance with our System Evaluations, Diagnostic Toolkit, and Custom Dashboards. More...