The report ' Big Social - Predicting behavior with Big Data ' is about the question of how concrete adoption and plans in organizations currently mainly affect the theme big social: the customer side. In short, mainly inspired by the social network activity of web 2.0. The data explosion is happening all around us, but an important part of the discussion concerns the question of how much organizations should now immerse themselves in big data. The answer to this question is simple and is: with policy.
First step for organizations: social media
From the many conversations we have had with various experts, it appears that most organizations choose to take the first baby steps with big data in the area of social media. The enormous amount of tweets, Facebook status messages, YouTube videos, but also data from all kinds of sensors, smart meters and smartphones are ideally suited to predict consumer behavior. In some cases, it even appears to be possible to influence and control behavior!
In the article ' Predictive computers prevent crime ' I already discussed australia telegram data the predictive nature of big data. The science fiction film Minority Report has now become reality. Police officers can prevent crimes thanks to all the social data that is there for the taking.
Predicting behavior with social data
This is not just for government agencies, companies can also get started with this right away. Think of Google Trends, for example, which can accurately predict a new flu wave because it has insight into people's search terms. When people search often enough for terms like 'flu', 'cold' and 'fever', the world's largest search engine knows enough.