Case Studies BASF Advances Sustainable Agriculture with Dotmatics R&D Workflows
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BASF Advances Sustainable Agriculture with Dotmatics R&D Workflows

Analytics & Modeling - Big Data Analytics
Analytics & Modeling - Machine Learning
Agriculture
Product Research & Development
Predictive Maintenance
Data Science Services
Software Design & Engineering Services
BASF's Agricultural Solutions division was facing challenges with handling increasingly complex and comprehensive data in R&D for new crop protection products. The division had a strong mandate for continuous innovation and digitalization and sought to optimize workflows involved in the design cycle. The digitalization team invested time mapping and analyzing their R&D digital workflow to understand who generates and who uses the data. They established the requirements for a system to support both data capture and its subsequent application to decision making.
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BASF is a leading chemical company that combines economic success with environmental protection and social responsibility. The company has more than 118,000 employees in the BASF Group who actively contribute to the success of customers in nearly all sectors and almost every country. BASF’s portfolio is divided into six segments: Chemicals, Materials, Industrial Solutions, Surface Technologies, Nutrition & Care and Agricultural Solutions. The company has identified several strategic action areas including Innovation and Digitalization, which are of utmost importance for BASF’s Agricultural Solutions division. Using digital technologies and data, BASF creates additional value for customers and increases the efficiency and effectiveness of its processes. The company provides customers access to important information in real time using new digital services. The integrated use of internal and external data strengthens BASF’s innovation power.
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BASF Agricultural Solutions worked with Dotmatics to enhance the division’s R&D IT infrastructure. With a 3-step phased approach, BASF Agricultural Solutions successfully reached the goals of the ‘Data to Value’ project. As a result, all steps of the data lifecycle – experiment planning, sample creation, testing, and scientific analysis – are handled by Dotmatics’ unified data-centric platform. The first project involved making Dotmatics Vortex the default R&D data analytics tool. The second project introduced Dotmatics Browser as a client on the data warehouse. The third project initiated a new ELN, which is based on Dotmatics Studies Notebook.
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Lab technicians and bench scientists add to the corporate knowledge base by capturing experimental data and storing it in a usable format, as part of their natural workflow.
Team and Project leaders efficiently access and manage results and workflows.
Data scientists use enhanced analytics to support data driven decisions by using all available results and information to extract knowledge.
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