Data Analytics Monthly Forum

This month, we’re tackling a topic that’s foundational, frequently discussed, but rarely explored in full: data integration. 

In the data space, ‘integration’ is a word that is used a lot but is it understood. On the surface, integration sounds simple – connecting systems and joining up data – however, the term itself often means different things to different people and teams. 

Join us on the 1^st of July where we’ll be unpacking what integration means in the context of real-work data work. We’ll explore the difference between doing integration and implementing an integration approach, focused on your data needs. 

Agenda 

• Making sense of ‘data integration’: We’ll start the session by going back to basics, giving you a better understanding of the term ‘integration’ in the world of data. 

• Avoiding the Power BI-as-integration trap: Sometimes, organisations use business intelligence platforms, such as Power BI, as stand-ins for integration. We’ll unpack why this happens and what the risks are. 

• Data integration, designed for you: We’ll break down some of the numerous data integration options including data factory, Azure services and data virtualisation, discussing both the benefits and drawbacks of each.  

• Scenario-led insights: We’ll dive into a number of scenarios, investigating how these approaches have succeeded in real-world settings, highlighting how you can match integration design to the scale, speed and needs of your organisation. 

You’ll gain insights into the number of different data integration methods – from Azure integration services to Master Data Management to data virtualisation.  

Whether you are hands-on or high-level, if you have ever had to connect systems, align teams, or answer the question ‘how do we join this up?’, then this session is for you. 

Register Today!

Andrew Edge
Data & AI Solution Lead

Geraint Edwards
Lead Consultant

Iain Robins
Lead Consultant