by Andrew Cave | Oct 11, 2023 | BizCubed, Data Engineering, Security, Thought Piece
Human error poses a significant risk to cybersecurity. One IBM study traced 95% of breaches back to mistakes made by individuals. Whether it’s sharing sensitive information via insecure channels, falling for phishing emails, or neglecting software updates, such...
by Maxx Silver | Jul 19, 2023 | Business Intelligence Process, Data Engineering, Data Management
An oft-cited recent statistic in the data space is that, on average, Chief Data and Analytics Officers remain in their roles for just three years. Given that the average lifecycle of a data project is three-to-five years (and let’s be honest, the change is constant),...
by Maxx Silver | Jun 21, 2023 | Data Engineering, Uncategorized
Data operations are complex systems. Just like any other complex system they are non-linear, self-organising, and demonstrate emergent properties. One of the more curious features of a complex system is that they can often be modelled in relatively simple terms. For...
by Maxx Silver | Jun 1, 2023 | Data Engineer, Data Engineering
One of the big challenges of the modern data ecosystem is that it is in a constant state of change – from one paradigm to another, one platform to the next, tool after tool, day in and day out. Despite these fluctuations, the business users of data must be able to...
by Zachary Zeus | Apr 5, 2023 | Data Engineering, Data Management
The world of data can seem daunting. AI, ML, Big Data, structured, unstructured, Spark, deep learning, flink, kafka… the list is endless. When we engage with our technology partners, we are often told that the new program that they are just about to launch,...
by Rebecca Zeus | Jul 28, 2022 | Data Engineering, Data Management, Security, Ways and Values
BizCubed’s Ways and Values We’ve blogged previously about the BizCubed Ways and Values. Many companies have versions of this – they may call them values, guiding principles or another phrase. While many in large organisations struggle to see them as more than...