Data analytics leads to long-term success in Big Data
Autonomous driving, Industrie 4.0, Internet of Things, and Big Data represent innovations that are enabled by software. The increasing digitalization leads to new challenges that must be mastered with regard to the development of software-based systems. Not only the technical processes, resp. business processes, that are controlled in this manner are getting more complex: Systems are also being increasing interconnected in networks in order to offer customers added value compared to stand-alone solutions. This trend towards digitalization and system integration also results in the creation of completely new business models – for example based on Big Data Analytics.
Our data engineers in our competence area “Data” know how an organization needs to be set up in order to be able to address these challenges through systematic elicitation and smart analysis of data and information.
We are pursuing an empirical approach where we:
- Identify improvement goals
Collect data about the corresponding processes
Identify weak points
Initiate improvement measures and then analyze their effects
This is what we offer:
- Establishment of performance indicator systems in accordance with GQM or GQM+Strategies®
Measurement of software quality in accordance with ISO/IEC 25010
Establishment of prediction models or combination and analysis of extensive company data (Big Data)
In addition, we have the appropriate competencies and tools to help you find usage scenarios that make sense, to systematically analyze your data, and to derive patterns and models from them.