Tag Archive: big data analytics

IoT Analytics – the data is upon us

The Internet of Things (IoT) must be right up there on the hype-o-meter, together with big data. It refers to a growing network of everyday devices – beyond computers – any consumer or industrial device, which is connected and can share information and perform tasks, even when you are not around. And the IoT is …

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Big Data Science Trends in 2015

It is that time of the year for all and sundry to come up with‘Trends for 2015’, so here is my commentary on two of the technology trends that have received a lot of attention and have made a big impact in the previous year. I am sure you will agree that the “technology” which …

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Overcoming the Barriers to Self-Service BI

In previous posts I covered how to make self-service BI attractive to the users and aspects to consider when implementing self-service BI. In this post, I give my opinions on overcoming the barriers typically encountered when implementing self-service BI.

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Data Lake vs Data Warehouse

In a previous post I gave a high level description and overview of the data lake. Informally speaking, from a BI point of view, a data lake is a large scaled-out all-encompassing free-for-all unstructured data staging area. In this post I take the discussion further to investigate whether it replaces or interacts with the data …

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Data Lake

My mini-series on big data would be incomplete without a discussion on data lakes. The data lake is emerging as a popular concept to address big data challenges, especially in the context of big data analytics and the integration of big data into the BI ecosystem. Vendors tote the data lake as the new approach to …

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Big data in healthcare

Some healthcare practitioners smirk when you tell them that you used some alternative medication such as homeopathy or naturopathy to cure some illness. However, in the longer run it sometimes really is a much better solution, even if it takes longer, because it encourages and enables the body to fight the disease naturally, and in …

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Driving value from business analytics

Business analytics lies at the intersection of four disciplines, namely business strategy, business analysis, business intelligence and advanced analytics. In order to provide value to the organisation, business analytics have to serve a purpose, deliver new insights, be actionable, and in some cases also be very dynamic. This post is a high level summary of …

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