Blog

Discover a wealth of data innovation and expertise within the Oakland blog hub – equipping you with all the latest industry knowledge to help your business get the most from its data.

Post Why We’re Counting Down to Big Data London 2025

Why We’re Counting Down to Big Data London 2025

Big Data London is always a highlight of the year for us, and not just for free merch. This year’s event looks bigger and better than ever. It’s the place where the whole data industry comes together to find inspiration, share challenges (making AI work – anyone?), and see the latest tech solutions from the…

Post Practical AI for Business: Cutting Through the Hype with Richard Corderoy

Practical AI for Business: Cutting Through the Hype with Richard Corderoy

Where does artificial intelligence add genuine value to business? It’s a question Richard Corderoy, our CEO, looked to answer on a recent webinar with Rashad Issa CQP FCQI, Chair of the CQI Board of Trustees and host of the Chartered Quality Institute’s Quality Impact Podcast.  As ever, Richard brought his no-nonsense home truths to the…

Post Why Data is Integral to Your Target Operating Model

Why Data is Integral to Your Target Operating Model

At the heart of business longevity lies the target operating model. It sets out how your organisation should run to thrive, grow, and improve – think of it like a continuous recipe for success! Without a target operating model, there’s no clear framework for a business’s people and processes to follow. It’s more vulnerable to…

Post The Role of Databricks Architecture in Data Engineering

The Role of Databricks Architecture in Data Engineering

Since it was founded in 2013, Databricks has revolutionised enterprise data management and analytics. Built on Delta Lake, an open source storage format, the set of data engineering tools it prides itself on processing enormous amounts of data, then transforming them into datasets that are primed for exploration via machine learning (ML) models. At Oakland,…

Post Can You Improve Data Quality Without New Tools?

Can You Improve Data Quality Without New Tools?

When was the last time you did a data quality check? If you’re struggling to remember, know this: the cost of poor data quality to organisations is almost $13 million on average every year, according to Gartner. It’s an eye-watering figure! Whether you ran a quality exercise last month or last year, the importance of…

Post How Does Data Management Help People Take Ownership of Data?

How Does Data Management Help People Take Ownership of Data?

When we talk about data management, we’re looking at how an organisation collects, processes, organises, and maintains data. An efficient and robust data management system is at the core of organisations whose processes run effectively and align with their target operating model. However, achieving data management best practice can be challenging, meaning opportunities to streamline…

Post What is Data Platform Architecture?

What is Data Platform Architecture?

What is Data Platform Architecture? Is your data architecture designed to ensure scalability, reliability, and long-term success? We know that organisations are increasingly investing in data platforms to bring their data together in a world driven by data. And while this enables you to gain the insights you need to make better business decisions based…

Post How Microsoft Fabric is Reshaping the Enterprise Data Platform

How Microsoft Fabric is Reshaping the Enterprise Data Platform

At a recent Oakland event co-hosted with Microsoft, we had the pleasure of welcoming Chris Webb, a seasoned Microsoft Fabric expert and member of the Fabric Customer Advisory Team. Chris ran a session exploring Microsoft Fabric in full, answering: Below, we round up the insight Chris shared during the informative session – a must-read if…

Post Plugged In or Left Out: The UK’s Readiness for Generative AI

Plugged In or Left Out: The UK’s Readiness for Generative AI

Generative AI is no longer a geeky tech term only technology enthusiasts or industry trendsetters are interested in. It has entered the c-suite boardroom and strategic roadmaps of enterprises, promising transformative possibilities across every sector. Yet, as Oakland’s recent report, Plugged In or Left Out, reveals, the UK’s journey towards meaningful adoption of generative AI…

Post Why Is Data Important for Business?

Why Is Data Important for Business?

Businesses rely on data to make informed decisions, measure performance, and drive continuous improvement. Whether it’s improving operational efficiency, shaping business strategies, or enhancing customer experiences, understanding and utilising data is key to long-term success. At Oakland, we believe that data is not just a useful tool but a critical element in every aspect of…

Post Data Governance in the Age of AI

Data Governance in the Age of AI

In an era where artificial intelligence (AI) is revolutionising industries, many organisations embark on ambitious AI projects with the hope of driving efficiency, automation, and competitiveness. However, a significant portion of these projects falter due to foundational data challenges. According to Gartner, by 2025, 30% of generative AI projects will be abandoned due to poor…

Post Target Operating Model: Delivering your Business Strategy

Target Operating Model: Delivering your Business Strategy

Chances are that your organisation’s operations are under constant pressure to stay competitive. At the heart of the transformation required to align your business operations and your business strategy successfully is the Target Operating Model (known as a TOM to its friends) – which is used as a strategic framework to describe your business capabilities…