Digital Financial Services: Product Innovation and Design

  • Duration 3 days
0 student

Overview:

This course equips participants with a systematic process for developing market-responsive products from insight generation, through to design and development.  It is tailored to meet the needs of institutions in need of a market-making anchor product, as well as those looking to expand their product offerings.

 

Modules:

  • Critical Components of the DFS Ecosystem
  • Introduction to Behavioral Science and Human-Centered Design (HCD) I
  • Introduction to Behavioral Science and Human-Centered Design (HCD) II
  • HCD Considerations and Applications in Research and Product Design in DFS
  • Open Application Programming Interfaces (APIs) and Financial Services
  • Partnerships in DFS: Factors for Success
  • Product Pricing
  • Technology for Financial Services
  • Responsible Product Development: Risks Involved
  • Appropriate Marketing Communication for Low Income Segments
  • The DFS Product Timeline

Instructor

User Avatar admin

0.0
Course Rating
0%
0%
0%
0%
0%
Free
Free
Enroll This Course

This course include

  • Language - English Language - English
  • Access on desktop, tablet and mobile Access on desktop, tablet and mobile
  • Full lifetime access Full lifetime access
  • Certificate of Completion Certificate of Completion

  • Training 5 or more people?

    Get your team access to 3,500+ top courses anytime, anywhere. Contact our sale

More courses you might like

Free
What you'll learn
  • This learning programme introduces participants to the Big Data Canvas, a methodology for ensuring that data strategies remain feasible while pursuing the most valuable outcomes.
  • Recognize the dynamics of big data, analytics, and data science in various financial applications.
  • Identify the Critical Success Factors for an organization’s Big Data strategy
  •  Shape your organization’s big data strategy by leveraging data science best practices.
  • Gain understanding of business analytics with the use of robust data and the ability to consider the relationships between this data science and finance to make holistic judgments when analyzing situations.
  • Apply ethical practices in everyday business activities and make well-reasoned ethical business and data management decisions. Select, Prepare, Construct, and Integrate, Structure, and Format data to be most effective to ensure the models meet the business goals.
  • Develop actionable plans from existing data and initiatives to increase sales, reduce marketing costs and improve customer retention.
  • Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
  • Manage data efficiently and allow users to perform multiple tasks with ease.

Data Analytics

  23 lessons
Free
What you'll learn
In this learning programme you will learn the basics of cryptocurrencies, from its origins and the blockchain technology behind it to the benefits and drawbacks of digital currencies as well as questions you should ask yourself if you are considering investing. The main aim is to educate and create a sense of realism with respect to Cryptocurrencies, related applications, smart contracts and digital assets. Participants will understand how Bitcoin and other cryptocurrency systems work, and how they challenge current financial systems. regulatory practices using real examples of how different industries are executing the technology and improving their business.

Cryptocurrencies and Other Digital Assets

  10 lessons
Free
What you'll learn
  • The Financial Inclusion Business Case
  • Change Management in the Digital Disruption Age
  • Exploiting Agent Banking for New Markets
  • Mobile money
  • Opportunities and use cases.
  • Policies and regulation in Financial Inclusion

Financial Inclusion

  5 lessons
Free
What you'll learn
  • Understanding the basics of Regtech, Suptech and compliance
  • The technologies and tools driving Regtech.
  • Discover the drivers of Fintech such as artificial intelligence, Big data and how they can be leveraged to improve customer service, make data-driven decisions, and explore risk and reward.
  • Use cases on regulating technologies driving Regtech like cryptocurrencies, Artificial Intelligence, Big data etc.
  • The dynamics of Fintech and how it is transforming the world of finance.
  • Understand the dynamics of RegTech and the driving forces behind it.
  • Understand which risk and compliance functions are redefined by RegTech, why and how.​
  •   Be able to discuss concrete application cases of RegTech.

Fintech, Innovation, Regtech & Compliance

  15 lessons

Loading...