Category Archive: Business intelligence

Business intelligence

Data silos and how to break them down

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 …

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Understanding the role of the CDO

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.

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Self-service BI – Examining the right approach to take

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 …

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Understanding the benefits and challenges of self-service BI

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 …

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Data and Analytics in Healthcare – conference review

I recently had the privilege to attend the Data and Analytics in Healthcare conference hosted by Corinium Intelligence in Australia. Following this, I wanted to use my blog piece this month to discuss some of the key lessons and insights shared during the event. I’ll jump straight in. Data governance and ethics Of course, it …

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The importance of data lineage

Do you know where your food comes from? Did the farmer use pesticides? Did the transport company spray preservative chemicals over your food? Did they keep it appropriately refrigerated? Would you eat food from sources you don’t trust? The same applies to data. Do you know what the lifecycle of your data entails? Was it …

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The uniqueness of modern data quality management

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.

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Data quality is in the eye of the beholder

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 …

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More evolving data-related roles

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.

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Examining the continually evolving data-related roles

In my quest to continuously learn more about data-related roles, I have recently come across two very interesting articles that suggest that data-related roles will be changing throughout the remainder of the year. These pieces share some great insight, and I couldn’t resist the opportunity to share my additional views and so in this, the …

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