To strengthen cybersecurity, organisations can address human error through education, training, and fostering a strong security culture. Making it easier to do the right thing, can reduce the occurrence of common mistakes.
Data helps our customers make better decisions each day. Our people both employ and are supported by our Methodology to help make that possible.
Maxx Silver talks about achieving the future state for both business and data teams with the BizCubed data methodology.
This month, we are talking about diversity at BizCubed and what it means to the people who work here. Here is Teresa Cheung, one of our Junior Data Engineers, with her thoughts on the topic. Teresa Cheung Junior Data Engineer Tell us how you came to work at...
This month, we are talking about diversity at BizCubed and what it means to the people who work here. Here is Abdullah Al Fadhly, one of our Junior Data Engineers, with his thoughts on the topic.Abdullah Al FadhlyJunior Data EngineerTell us about your career...
This month, we are talking about diversity at BizCubed and what it means to the people who work here. Here is Sebastian Petrik, one of our Junior Data Engineers, with his thoughts on the topic.Sebastian PetrikJunior Data EngineerWhat was your experience prior to...
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.
Rebecca Zeus’ engineering career and focus on process informed BizCubed’s recruitment and onboarding systems, designed to encourage diversity and data excellence.
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...
The world of data can seem daunting. AI, ML, Big Data, structured, unstructured, Spark, deep learning, flink, kafka, etc, etc, etc.
