Data science has become indispensable for securing competitive advantages in an innovative market. The truth is, however, that data science is not yet being used at many companies and, while most have recognized its benefits, they are unsure about how to use it constructively.
Data science has the goal of extracting knowledge from structured, semi-structured and unstructured data (Big Data). Machine learning models are created which are used for pattern recognition or forecasting, resulting in a wide range of potential applications.
Realizing direct benefits
Data science is already used today to optimize products, services and processes, to identify customer needs, to improve customer loyalty, to forecast sales and inventory levels and to detect fraudulent activities. This results in improvements in the quality of products, services and processes, in enhanced customer satisfaction and in lower costs.
A practicable use case lies at the core of every successful data science project. Besides realizing standard use cases, valantic also works closely with its customers on developing bespoke use cases for specific business departments and industries. Our data science experts offer companies holistic advise on developing and implementing their data science strategies – ranging from the identification of practicable use cases and selection of suitable tools to the productive operation of machine learning models.
With an experienced partner like valantic, you can define the starting points and generate value add for your own company, and benefit from valantic’s business expertise and data competence acquired with numerous customers over many years.