Course 2.4:- Using data to optimise digital performance
This course is for microfinance institutions that aim to improve the performance of digital products through better use of data analytics. It is especially useful for managers and staff responsible for implementing strategies to increase an institution’s outreach and profitability through various financial products and delivery channels.
Core module (2 days)
This part of the course is required. Participants will gain core knowledge and learn a series of skills in the use of data and analysis to improve MFI performance.
- Defining the data needed to improve design and performance
- Designing systems and processes for the collection of data
- Using tools for the organisation, analysis and presentation of data
- Proposing decisions and actions based on data presented
The core module will include some concrete examples of key use cases, i.e. typical tasks to which the knowledge and skills can be applied.
Applied modules (1 day each)
Participants are required to take at least one applied module. Applied modules enable participants to apply the knowledge gained in the core module, and to practice their skills on a specific use case.
Participants will be asked to bring in a set of real data from their institution. They will be helped to analyse the data in excel or in a programme they are familiar with. They will also experience the power of more sophisticated tools for the organisation, analysis and presentation of data for decisions.
- Module A: Improving operations
- Module B: Improving products and services
- Module C: Improving reporting to regulators and donors
- Module D: Improving social performance and inclusion
This course targets senior managers of banks and non-bank financial institutions. It is particularly interesting for managers involved in operations, product development, compliance and reporting, ICT, digital finance services and agent network management. Representatives of support networks, investors and donor organisations involved in financial inclusion will benefit from the applicable insights on data and analysis.
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