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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 Is Starburst The Analytics Engine for Data Mesh?

Is Starburst The Analytics Engine for Data Mesh?

At Oakland, we’re proudly tech agnostic. What does that actually mean? We can work with whatever tech our clients already have or have set their sights on using. That doesn’t mean we can’t review or recommend tech solutions, but we don’t receive any incentives to push one solution over another. We like it that way…

Post Digital transformation in utilities: An uphill battle?

Digital transformation in utilities: An uphill battle?

This won’t surprise you, but digital transformation is really hard. It’s even harder when you’re working in a heavily regulated industry with legacy systems, messy data, and impatient stakeholders. We can all wax lyrical about how things should be (predictive maintenance, anyone?) but getting there is a tricky journey for a large energy or utility…

Post How does traditional Data Governance get ready for Data Mesh? 

How does traditional Data Governance get ready for Data Mesh? 

Much has been written on the technical changes arising from more and more Data Mesh deployments as organisations seek to achieve a step-change in collecting, organizing, and utilising their data assets. But far less has been written about the non-technical changes that will be needed to achieve such a change in general and Data Governance…

Post Is Data Mesh a potential Data Mess?

Is Data Mesh a potential Data Mess?

Since we re-emerged from lockdown, the Data & Analytics industry has seen a massive boost and investment in data as businesses escalate and turbocharge their data agendas on a technical and non-technical basis to ensure they have the best digital presence.  Throw in the emergence of Data Mesh as a potentially new and better way of organising, processing, and delivering data to organisations and you have all the potential ingredients for a perfect data storm.    Over the last few weeks,…

Post How to Create a Data Strategy: Part 2 – Define

How to Create a Data Strategy: Part 2 – Define

Previously in our series on creating a data strategy, we discussed the importance of discovery and establishing a current state assessment. This week, we’re exploring the next step in the data strategy journey – how to define the ideal future state for navigating your data strategy and determining the data capabilities required to get you…

Post The five signs your Data Governance activities are working

The five signs your Data Governance activities are working

Wondering how to kick start your Data Governance programme? You’re in luck then; there are an overwhelming number of books and articles on how to do exactly that. These include the classics from Rob Steiner on Non-Invasive Data Governance https://amzn.to/3q6BPCX and the thought-provoking John Ladley with the concisely titled book Data Governance https://amzn.to/3q6o3QV. The Oakland…

Post How to create a Data Strategy: Part 1 – Discovery

How to create a Data Strategy: Part 1 – Discovery

“How do we create a data strategy?” Many organisations face this question as they seek to modernise and drive greater value from their data. It’s a complex question to address because a data strategy needs to be custom-shaped to your organisation’s specific goals, culture, technology and value proposition. Your organisation is unique, so you can’t…

Post Modernising and Monetising your Data Governance

Modernising and Monetising your Data Governance

Covid 19 has forced many companies to rapidly accelerate their data and digital transformations. And with this rapid modernisation of systems and processes, the importance of having a robust Data Governance framework has also grown exponentially. Which specific Data Governance tasks vary from company to company depending on their size, their nature, and the level of data maturity they already possess.  So, data ownership remains a critical challenge for some, whereas it…

Post Is Data Mesh a potential Data Mess?

Is Data Mesh a potential Data Mess?

Since we re-emerged from lockdown, the Data & Analytics industry has seen a massive boost and investment in data as businesses escalate and turbocharge their data agendas on a technical and non-technical basis to ensure they have the best digital presence.  Throw in the emergence of Data Mesh as a potentially new and better way of organising, processing, and delivering data to organisations and you have all the potential ingredients for a perfect data storm.    Over the last few weeks,…

Post Gain control of your SharePoint Data

Gain control of your SharePoint Data

Most medium to large companies have a sizable Microsoft SharePoint space, containing thousands, if not millions of data files – but do you know what exactly is in them? In this post, we’ll lay out three core elements for gaining control of your SharePoint data, below, and most importantly why. Outlining the strategy and tooling…

Post Why fixing your data quality issues shouldn’t wait

Why fixing your data quality issues shouldn’t wait

In Gartner’s recent report on data quality, they listed the critical five things you should do to make your data complete, accurate, and fit for purpose. These are: Scope Governance Processes Roles & Responsibilities Technologies, with a very strong message to focus attention and energy on your Data Quality hotspots. However, the killer point for…

Post Is Data Governance at a crossroads, and does it need a “Data Mesh” refresh?

Is Data Governance at a crossroads, and does it need a “Data Mesh” refresh?

We’ve recently seen a trend in Data Governance with much debate over the differences between Data Governance and Data Management. Industry expert, Gartner, suggests that in 2025 some 80% of organizations seeking to scale their digital businesses will have failed because they do not take a modern approach to data and analytics governance (Gartner –…