DMW's blend of technical and industry knowledge coupled with a strong commitment to meeting our aggressive project timescales have proved extremely valuable.
Major Oil & Gas Company
The Challenge
> Our client, a major multinational Oil and Gas company, had significant ambitions in modernising management information and analytics across its business, in the face of funding and delivery challenges on the run up to overarching IT reform.
> An early initiative to provide data engineering and automated reporting capabilities was adopted by other areas of the business and was poised for a rapid increase in demand.
> The project was facing significant challenges in robustly supporting this aggressive expansion of the platform and analytics capabilities, as well as managing and governing increasing volumes of data in a highly secure and controlled cloud environment.
How we helped
> DMW initially defined the architecture for the platform and assured the programme technical delivery.
> We went on to deliver and run the platform capability, enabling multiple tenant types, analytics services management and a significant expansion to meet business programme needs.
> Major successes included the physical splitting of the platform into a more resilient infrastructure and supporting the integration of engineering and analytics capabilities.
> DMW also acted to guide use case and capability delivery across the businesses, manage big data engineering and analytics communities, oversee quality of developer delivery and advise on agile delivery practice.
> We maintained and guided continuous integration, automation and software development best practice for operations, platform and data engineers.
The results
> We delivered 10x growth in the platform to enable +500 data developers, +3000 business users, and data from +200 systems across two production platforms.
> This represented a total of +300 use cases from the businesses, including three major programmes.
> DMW delivered significant cost savings for use case delivery compared to the legacy analytics platform, under a cross-business investment and governance model.
> We achieved a shared resource and data permissioning model against the backdrop of an enterprise-grade secure public cloud environment, increasing and concurrent performance demand, and infrastructure and spend limitations.
