Research in Social Investment - Tshikululu Social Investments workshop 2010
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Presented during Tshikululu's first Serious Social Investing workshop, which took place on 25 and 26 February 2010. Godwin Khoza (CEO, Joint Education Trust) discusses the value of research in social investing.
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[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
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These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
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Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
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MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
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Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
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- 1. The value of data and research in social investing: our experience February 2010 1
- 2. The Khanyisa experience Design 2004 Implementation (2004 -2008) Formative- 07 No impact evaluation Profile Baseline 12 case studies
- 3. Pre-implementation profiling Know what you are dealing with Confirm the critical success factors against the project intended outcomes General development conditions Student and teacher numbers Resourcing levels Use the information to construct a set of outcomes, outputs and indicators (logical framework)
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- 11. DIFFERENTIAL ABSORBTIVE CAPACITY
- 12. Using data to plan for improvement
- 13. Pitfalls to avoid Basic designs do not tell why there are or no changes in performance Khanyisa ran no impact study Monitoring data was not collected
- 14. Some lessons to pick up Use a mix of approaches to highlight the pattern of performance and to identify the reasons Evaluate performance at the different levels of the system Valid evaluation results require sample sensitive designs Evaluation designs should collect a mix of educational and project data Evaluation design and project design should be done iteratively Use data to tweak the designs all the way & change if it doesn’t work
- 15. Lessons for JET 15