Category Archive: Business analytics

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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Using business goals to identify data analysts

The value of data has transformed many organisations today. In my view, organisations now have a better understanding that if data is used correctly, it can add great value to overall business and bottom line. In fact, according to recent research I came across, 46 percent of organisations have said that they are increasing their …

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Information and Analytics – is it a business hinderance?

In the Business Intelligence (BI) world, as BI experts, we tend to understand and think about the value of information and analytics slightly differently to the rest of an organisation – given we have a passion for data and the value it holds.  We also understand information and analytics to be a competitive driver – …

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Information Management in 2017

They say that information is the oil of the 21st Century, and analytics the combustion engine. This infamous quote, by Peter Sondergaard, is often shared at industry events, to remind BI experts of the importance of enterprise wide information management.  While I completely agree with this sentiment, I still find that far too many organisations view …

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HR Analytics

“I want HR analytics for my HR department!” In my experience of consulting to clients at various stages of analytics maturity, across different industries in different countries, I have noticed that on a strategic level very few organisations are really implementing HR BI, never mind HR analytics. These are typically the organisations that have realised …

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Evolving into a Data-Centric Healthcare Organisation

In a previous post I reasoned why healthcare organisations should become more data centric. In this post I suggest a fluid and adaptable approach to mature the organisation with respect to data-centricity, in the process motivating why I would not utilise an approach recently suggested by IBM. In this post I focus my attention on …

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Seven Tips to Improve Data Storytelling

Data analysis and exploration can answer many of the questions that decision makers have, and even generate questions that some businesses have not yet even figured out. Of course it also sparks curiosity around the value that data brings. Data has purpose and meaning – but not all organisations understand this – which is what …

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The Elastic Data Warehouse

Some days I get really flexed out of shape about the rate at which new terms become spontaneously combusted in the BI and analytics industry. The latest I came across is the term “elastic data warehouse.” So what are we doing here – bending the rules, stretching the imagination or flexing our muscles here? Now …

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