Predictive analytics - opportunity or threat?

Ever since the last US presidential election, most people have had an idea of what can be done with data. Allegedly, their outcome was significantly influenced by predictive analyses and messages tailored to personality profiles. Regardless of the veracity of these claims, the topic of big data has attracted a great deal of attention worldwide.60 percent of big data projects failThe importance of data, and in particular its ownership, is increasing for the global economy. When large corporations acquire companies, the amount of data collected by the company is sometimes more important than the revenue generated. However, whether investments in data collection pay off depends on more than just the amount of data. Although technological developments are making it increasingly possible to process large volumes of complex, fast-moving and unstructured data, there are still pitfalls that are often overlooked. According to a study by Gartner (2015), around 60% of all big data projects fail. This is because they cannot be implemented within the planned budget or time frame or do not have the expected effect. >>>here>>