Executive Development Programme in Data-Driven Banking Product Innovation
-- ViewingNowThe Executive Development Programme in Data-Driven Banking Product Innovation is a certificate course that empowers professionals with essential skills to drive data-driven innovation in the banking sector. In an era where big data and AI revolutionize banking products and services, this programme is crucial for staying industry-relevant.
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⢠Data Analytics for Banking: Understanding data analytics, data mining, and big data in the banking industry. Analyzing customer behavior, market trends, and risk management through data.
⢠Product Development in Banking: Identifying customer needs, market gaps, and innovation opportunities for product development. Designing and prototyping banking products.
⢠Data-Driven Decision Making: Leveraging data insights for strategic decision-making in banking product development. Applying data-driven approaches to measure performance and optimize products.
⢠Digital Transformation in Banking: Embracing digitalization, automation, and artificial intelligence in banking. Exploring digital channels, platforms, and tools for product innovation.
⢠Innovation Management: Managing innovation processes, ideation, and prototyping in banking. Implementing innovation strategies, frameworks, and best practices.
⢠Regulatory Compliance in Data-Driven Banking: Adhering to data privacy, cybersecurity, and regulatory requirements in banking product innovation. Ensuring compliance in data-driven banking products.
⢠Change Management in Banking: Implementing change management strategies, leading teams, and managing stakeholders in banking product innovation. Overcoming resistance and driving adoption of new banking products.
⢠Customer Experience Design in Banking: Designing customer-centric banking products, focusing on user experience, user interface, and accessibility. Applying design thinking and human-centered design principles in banking product innovation.
⢠Banking Analytics Tools and Techniques: Mastering data visualization, predictive analytics, and machine learning techniques for banking product innovation. Utilizing analytics tools and platforms for data-driven decision making.
⢠Risk Management in Data-Driven Banking: Identifying and mitigating risks in data-driven banking product innovation. Applying risk management strategies and best practices to ensure product success
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