Smart data and decisions

Bag code: COMSDS15210025 Days: Two training days "The training day 5 hours". Time: 10 training hours. Targeted participants: managerial leaders, teachers, educational supervisors, entrepreneurs, workers in educational and administrative institutions, those interested in developing decision-making skills. Program overview: This program revolves around data and smart decisions (definition - types - characteristics - objectives - positives - negatives .. etc). It will be presented through the following units: First training unit: Introduction to data and smart decision-making. Second training unit: Data applications in supporting decisions. Program objectives: To enable the trainee to understand the concept of data and its importance in decision-making. To distinguish the trainee between types of data and their sources. To connect the trainee between data analysis and decision quality. To enable the trainee to apply simple methods to support decisions using data. To employ the trainee data in improving institutional performance. Program topics: First training unit: (Introduction to data and smart decision-making): Concept of data and information• Definition of data, information, and knowledge• The difference between raw and analyzed data• The importance of data in the digital age• Types of data and sources• Quantitative and qualitative data• Internal and external data• Data collection sources in institutions. Data and decision-making• Concept of administrative decision• The relationship between data and decision quality• Risks of making decisions without data. Analytical thinking in decision-making• Concept of analytical thinking• Analysis skills and decision-making• Barriers to analytical thinking. Second training unit: (Data applications in supporting decisions): Data analysis to support decision• Basic steps of data analysis• Converting data into indicators• Reading results and making decisions. Smart decisions in institutions• Characteristics of smart decisions• The difference between traditional and smart decisions• Practical examples of smart decisions. Reducing risks using data• Types of risks in decision-making• The role of data in predicting risks• Making safe decisions based on data. Improving performance with data-based decisions• Linking performance to data analysis• Monitoring performance using indicators• Developing plans based on results. Contents of the PowerPoint package: 107 slides. Trainer’s guide: 73 pages. Trainee’s guide: 66 pages. Activities: 4. Introductory guide: 4. References: 4. Evaluation and data forms: 6. Pre- and post-test: 10. Videos: 4. Photos: 11. Mind maps: 1. Brochure: 1. Training package template: Please click here to view the training package template.