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Data silos are pervasive in organisations around the world. At many of the companies where I have worked, these data silos have made it difficult to ensure system integration, data governance, and effective reporting. Following an insightful industry piece I recently came across, for my blog article this month, I decided to focus on and …
Given the growing adoption of artificial intelligence (AI), and companies across industry sectors wanting to become truly data-driven, having a Chief Data Officer (CDO) becomes non-negotiable. However, not every organisation truly understands what this role encompasses.
Last month, I discussed the challenges and opportunities of self-service BI as an approach to enable non-tech-savvy business users to directly access data and explore it on their own. In this blog, the focus turns to some of the reasons why self-service has failed and understanding the approaches that have worked. For reference, I use …
The concept of ‘self-service business intelligence (BI)’ started gaining momentum in the early 2000s. More than two decades later, a survey by Yellowfin has found that the majority of respondents (61%) say that less than 20% of their business users have access to self-service BI tools. Perhaps more concerning, 58% of those surveyed said less …
Last month I addressed how data quality is perceived by different specialists inside the organisation. This month, I turn the spotlight onto what makes modern data quality management different from traditional approaches. Edwin Walker’s Data Science Central article ‘Difference between modern and traditional data quality’ provides an excellent starting point.
The quality of the data we work with has a significant impact on the quality of the insights we can extrapolate for the business. Following on from my recent mini-series on the evolving data-related roles, it was interesting to come across Edwin Walker’s article on Data Science Central titled: ‘How do different personas in an …
Last month, I discussed the evolving roles of the Chief Data Officer (CDO), Chief Analytics Officer (CAO), and the Data Engineer. In my blog post this month, I will delve deeper into several of the other roles related to data engineering, as well as the evolution of the role of the Business Analyst.
Regular readers of my posts will know that I’m a big advocate of the Chief Data Officer (CDO) role. Also sometimes referred to as the Chief Data and Analytics Officer (CDAO), establishing this role and getting it woven into the organisational fabric doesn’t happen without challenges.
I was fortunate to have been invited to attend the recent ‘Data & Analytics in Healthcare’ conference in Australia which took place at the end of March. The event was positioned as a ‘deep-dive into the data transformation taking place in healthcare across Australia – and aimed to explore efforts to transform the use of …
Regular readers of my blog will no doubt know that due to my immersion in the data-information-insights spectrum, I’ve been very interested in data centricity and the role of the Chief Data Officer (CDO) for some time. On reading a recent industry piece about the role of the CDO, a question that came to my …
