Platform & Data Engineering

Take a peek behind the scenes at the inner workings of Oakland as we talk through some of our landmark projects. From data strategy and governance to platform engineering, data analytics and artificial intelligence, you can find out how we have helped people with their data across various industries.

Case Study Leveraging Microsoft Azure for Market Expansion and Growth

Leveraging Microsoft Azure for Market Expansion and Growth

Oakland was tasked with building a cloud-based data analytics platform designed to propel Emerald into the future. This platform needed to provide comprehensive data governance and quality functionality, reconciling conflicting data from diverse sources.

Case Study Helping a Leading Provider of IT Infrastructure Unlock Sales Growth with a 150% ROI

Helping a Leading Provider of IT Infrastructure Unlock Sales Growth with a 150% ROI

Our client, a leading provider of IT solutions and services to businesses and the public sector, has grown to be one of the largest IT services firms in the UK, with an ambitious vision for the future.

In the past, growth was delivered through hiring in more sales staff to drive engagement with potential customers; however, at the scale they were approaching, it was recognised that a new approach was needed. The company was looking for help to build a data analytics platform to aid the sales staff in identifying new opportunities. As a sales first business, finding ways to improve the productivity of their sales force is key to driving better margins.

Case Study A UK Public Service Broadcaster

A UK Public Service Broadcaster

This UK-based media company needed to gain faster insights to enable decision-making when pulling data across its different media functions, such as understanding viewers, viewers’ engagement, monetisation, marketing, and commissioning.

Many queries relied on lengthy data engineering requests or a convoluted journey to find the right person with the right knowledge to analyse the necessary data. Those queries often resulted in different answers for similar questions due to different approaches and shadow data.

Case Study Driving growth for Elvie with a data platform

Driving growth for Elvie with a data platform

RAW stands out for its unique approach, recognising that each location requires a distinct EV solution rather than a ‘one size fits all’ method. Many leading UK companies choose their services for this reason.

The Oakland Group were selected to help the RAW leadership team create a complete vision, strategy and roadmap for how data will transform their business in the coming years.

Case Study Creating a data platform for tech start-up Income Analytics

Creating a data platform for tech start-up Income Analytics

Income Analytics were keen to leverage its twenty years of planning and development expertise

To create an online platform that would enable real estate professionals, investors, owners, and lenders to make better informed data-driven letting, investment, and lending decisions.

The leadership team selected Oakland to build the platform based on our data strategy, cloud engineering, and process transformation expertise.

Case Study Building a Data and Analytics Platform for Acuity Robotics

Building a Data and Analytics Platform for Acuity Robotics

As experts in remote data capture and robotic infrastructure inspection, the client saw the potential for this method of data collection to gain vital insights into asset conditions while using more advanced analytical techniques.

We were asked to design and build a bespoke, cloud-based data and analytics platform that could collect and collate the data, then serve it securely to customers and data scientists – all while providing data quality assurance.

Case Study Yorkshire Water Bio-Waste Modelling

Yorkshire Water Bio-Waste Modelling

A core component of water management is the treatment of wastewater and its by-products, colloquially known as sludge. To do this effectively, the Yorkshire Water wastewater team required a bio-waste water solution that could distil a complex network of sites and production data into a minimum cost treatment schedule, allowing them to plan the sludge management process more efficiently.

Alongside this, the end-users wanted a solution that they could ‘tweak’ and re-run, either to incorporate recent site changes/impacts or plan for potential operational scenarios. And at the same time, Yorkshire Water wanted to achieve an outcome with minimal OPEX expenditure.

Case Study Business intelligence reporting and intelligent forecasting for Network Rail

Business intelligence reporting and intelligent forecasting for Network Rail

In recent years, Network Rail has been impacted by significant organisational, digital and cultural change.

Growing demands for greater efficiency and effectiveness have resulted in a need for more intelligent reporting and decision analytics, especially within Network Rail’s Regional Capital Delivery teams.

Adopting a devolution strategy required Network Rail to ensure that each region had the business intelligence and intelligent forecasting capabilities necessary to deliver major capital projects that gave outstanding value to the taxpayer whilst meeting stringent government guidelines.

Case Study Executing a Data Strategy for Yorkshire Water

Executing a Data Strategy for Yorkshire Water

Yorkshire Water faces similar pressures and demands as many other utilities, and has long realised that data is a core asset in helping them to deliver smarter network and customer operations.

This need to utilise their data assets to help exploit and capitalise their physical assets led them to undertake a complex, multiyear data transformation. This case study explains the vital delivery role provided by The Oakland Group in executing a data strategy across a broad set of areas within the data transformation initiative.

Case Study Creating a data platform for a major UK media organisation

Creating a data platform for a major UK media organisation

Subscriber growing pains The media company had struggled to increase its subscriber base within its digital products group and was losing out on advertising revenue to competing products and formats. This demand for growth and competitive advantage created urgency and an aggressive timeline for the business to develop and deploy new capabilities. Central to the…