Data science should increase efficiency above all
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.
Centric and Markteffect research on data science shows that the reasons why companies want to apply data science vary by sector. Whether in finance, retail or government, to make policy or to sell more products, each can benefit from the opportunities data science offers.
Doelstellingen data science per branche
Increased efficiency
The main objective (40%) that organizations see in applying data science is the contribution to improving efficiency within the organization. This is not only true for a sector such as business services; government organizations and organizations in the retail sector also see this as the main reason. Application of data science provides an acceleration of work processes. But it can also increase the effectiveness of decisions, for example in government. Being able to provide advice and services online and tailored to citizens reduces the workload and allows you to spend the time that is left on other things.
Organizations in transport and logistics see that data science can contribute significantly to increasing revenue. The financial sector sees the gains mainly in the application in the field of risk mitigation (risk management). As a result, they expect to be less concerned with supervision. In addition, cost reduction and insight into customer needs are also frequently cited reasons.
Related articles
-
Data science applications vary greatly by sector
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.
-
Majority of organizations outsource data science
Most organizations are well aware of the objectives and applications of data science. But how do you approach it? The way in which you want to open up data is important.
-
Data science and Business Intelligence
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.