Tag Archive: social media

Communication in Data Science

Data science and the outcomes it delivers can be complex and hard to explain. Presenting your approaches and findings to a non-technical audience, such as the marketing team or the C-Suite, is a crucial part of being a data scientist. You need to have the ability to interpret data, tell the stories contained therein, and …

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Influence scoring

In some previous posts, I discussed sentiment analysis. In this post I take social analytics one step further, looking at influence scoring or influence rating. We are all aware of what the term ‘influence’ means.  However, are we aware of what it means in a business or commerce sense and how ‘influence’ can make an …

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Big O and Big Data

Last week I attended the Oracle Big Data and Extreme Analytics event in Melbourne. The packed audience was a good indication how relevant this topic is. Oracle illustrated and demonstrated the flow from unstructured data on Hadoop, through the Oracle NoSQL platform, integrated with structured data in their BI stack running on Exadata, to end …

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Implementing Sentiment Analysis

We live in a digital world where our access to information is unprecedented and our ability to shape or mould opinion is as easy as clicking a ‘like’ button. Imagine the  power inherent in that kind of online presence. Now imagine being able to harness that power…

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Sentiment Analysis

If an organisation can manage to overcome the business and technical challenges involved in understanding what the mass of openly communicating consumers are feeling out there, and then instantly react on the outcomes of that investigation, it can improve its revenues, reduce its risks, and positively influence the perceptions that those consumers are broadcasting out …

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Social BI

The increasing need for wider communication and growth in prevalence of analytical decision support are driving collaborative BI, and there is certainly going to be more of this trend in the year to come – ultimately allowing for greater visibility, user interaction and greater value.

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Using Social Media for BI

Social media is fast becoming a mechanism of choice for the dissemination of and collaboration around the information delivered by BI – to the extent that it is fast becoming a key input channel of behavioural data as well.

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