Data Hive Cassel GmbH

C++ code was analysed in several workshops and examined in terms of the use case where there is potential for optimisation.

The analysis of the code was carried out using machine learning algorithms.

To enable scaling, various scenarios were developed and presented.

Development of project leaders and managers in order to be able to carry out future development projects even better at eye level.

The following topics were covered in a total of 26 lessons:

Mission statement pyramid and definition of goals (SMART)

VUCA, agile mindset and OKR basics

Stacey and Cynefin Model

Target systems and transfer to project plans

Classic and agile project plans

Storymap vs. milestone plan

Google Design Sprint

Objectives and Key Results

Retrospectives, meeting culture

Stress-based work

Delegation Poker

Stakeholder management and RACI matrix

Development of a sensor solution to monitor the movement of moving products and to detect and evaluate extremes. It was a holistic project, from the design and installation of the sensors and the recording of measured values, to the data analysis, visualisation and training of the employees.