Category Archive: Advanced analytics

Advanced analytics and data mining

Unpacking the top data trends for 2023

As the year rushes to an end, it is interesting to see what the analysts are indicating as the top expected trends for next year. With that in mind, I recently took a deeper look into two independent trends focused papers I came across – ‘The Top 5 Data Science And Analytics Trends In 2023’ …

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Can an organisation be data-centric without a CDO?

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 …

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The importance of analytics in the data governance process

When it comes to data, one of the areas that really interests me is the connection between data analytics and data governance. There is obviously a lot of material available on how data governance can assist organisations achieve better data analytics outcomes, however, a paragraph focusing on analytics-enabled data governance in this Precisely.com article ‘The …

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Finding value in the data lakehouse

As you may have gathered from my previous post, I have become very interested in cloud-based data lakehouses. It was therefore with a keen interest that I read the article ‘Five Effective Ways to Build a Robust Data Lake Architecture’ on Enterprise Talk. While initially I was hoping that the author was going to review …

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Debunking data analytics myths – Part 1

Experts in the data space know the importance of data and its analysis to help drive business growth and competitive advantage. Of course, data analytics is not something that can just be switched on and happen overnight. It does come with challenges, and overcoming those challenges are instrumental to a project’s success.

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Vital capabilities for advanced analytics success

Last month I looked at what organisations can do to overcome some of the barriers to tailoring data management for advanced analytics. This built on from the first blog on the advanced analytics topic, where I discussed how important data management is for successful advanced analytics. In the final piece of this series based on …

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Navigating data management obstacles for advanced analytics growth

In my previous post, I discussed how important data management is for successful advanced analytics based on a recent TDWI report I found of interest. As a follow on, this month, I examine what organisations can do to overcome some of the main barriers to tailoring data management for advanced analytics, if you really want …

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Data management essentials for better analytics

Thanks to the availability of innovative technologies such as artificial intelligence, machine learning, and robotic process automation, modern companies have access to a wealth of tools to expand their analytical functions and extract additional value from the data at their disposal. Key to getting this right, however, is managing data effectively and understanding the very …

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What a Chief Data Officer should be – part I

In an age where the role of a Chief Data Officer (CDO) and Chief Information Officer (CIO) are used interchangeably, it is easy to get them confused. In my personal experience in the Business Intelligence (BI) space, I have learnt to ‘accept’ the confusion. Though, I say ‘accept’ here lightly, because the hype and confusion …

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The data science strategy – part II

The eagerness of how data science can help businesses ‘achieve’ still seems be high on the agenda amongst business and IT leaders that are looking for ways to leverage their data. In fact, many are of the view that ‘if this process can help solve our business challenges and create new opportunities, let’s definitely hire …

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