course | Leveraging Big Data in R&D Decision Making
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MGLD-230 | Leveraging Big Data in R&D Decision Making
Course Sector : Management And Leadership
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 2025-05-11 | 2025-05-15 | Riyadh | $4,250 | Book now |
| 5 Days | 2025-09-15 | 2025-09-19 | Abu Dhabi | $4,250 | Book now |
| 5 Days | 2025-11-03 | 2025-11-07 | Los Angeles | $5,950 | Book now |
Course Introduction
This course focuses on harnessing the power of big data to enhance decision-making processes in R&D. It covers big data technologies, analytical methods, and strategies for integrating big data insights into R&D operations and strategic planning.
Course objective
By the end of this training course, participants will be able to:
- Identify the potential of big data in R&D contexts
- Learn to identify and utilize relevant big data sources for R&D
- Develop skills in big data analytics and interpretation
- Enhance decision-making processes using big data insights
- Gain knowledge of big data technologies and infrastructures for R&D
Course Outline | 01 Day One
Big Data Fundamentals for R&D
- Introduction to big data in R&D contexts
- Big data sources relevant to R&D (internal, external, structured, unstructured)
- Challenges and opportunities of big data in R&D
- Case study: Big data success stories in R&D
Course Outline | 02 Day Two
Big Data Technologies and Infrastructure
- Big data architectures for R&D environments
- Data lakes and data warehouses in R&D contexts
- Cloud computing and big data processing
- Workshop: Designing a big data ecosystem for R&D
Course Outline | 03 Day Three
Advanced Big Data Analytics for R&D
- Machine learning and AI for big data in R&D
- Real-time analytics and streaming data in R&D processes
- Text mining and natural language processing for research data
- Hands-on session: Big data analysis techniques
Course Outline | 04 Day Four
Decision Making with Big Data in R&D
- Integrating big data insights into R&D decision processes
- Risk assessment and mitigation using big data
- Predictive modeling for R&D project outcomes
- Simulation: Making R&D decisions with big data inputs
Course Outline | 05 Day Five
Implementing Big Data Strategies in R&D
- Developing a big data roadmap for R&D
- Change management for big data adoption
- Ethical and privacy considerations in big data R&D
- Action planning: Leveraging big data in your R&D organization
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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