There is móre to your data. Take business intelligence to the next level and discover how to put your data to work with data science.
24 insights found
The applications of data science are useful in many industries. Organizations are setting their priorities for the coming year particularly in the areas of process optimization, inventory management, predicting sentiments in their market, improving control of compliancy and reducing the workload involved.
That data science is a promising field of research is beyond dispute. But what exactly is its purpose? The trend report on data science recently published by Centric shows that organizations see data science primarily as a means of contributing to improving efficiency within the organization.
The rise of data science offers an enormous amount of opportunities to map and solve problems within your organization. But how do you, as a company, get started with all that data? Frank de Nijs, Enterprise Innovator at Centric, explains how to make a successful start with data science in nine steps.
It is sometimes referred to as one of the pillars of the 'Fifth Industrial Revolution': data science. With data you can not only improve processes, but also make predictions. And it is precisely the latter that is taking off. Centric asked organizations in various sectors for their opinion and wrote a trend report about it: what are the biggest opportunities and obstacles on the road to business success with data science?
By means of Data Science, ICT advisor Kees van den Tempel helps municipalities gain more insight into the costs of youth care. By analyzing data, it is not only possible to predict costs, but also to take a more targeted approach to prevention. ‘When the costs of youth care are clear, you can influence them too.’
Business Intelligence analysts have been working with data for years. Since the rise of data science, organizations can not only look back, but also predict trends. Frank de Nijs, Business Developer at Centric, lists the differences and similarities.