09 Big Data MBA Episode 09: Digital Transformation Value Mapping

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Издатель Jan 3, 2021

The heart of Digital Transformation is the ability to identify, codify, and operationalize the sources of customer, product, and operational value within an environment that is continuously learning and adapting to ever-changing customer and market needs.

Figure 8.9 in Chapter 8 of new book “The Economics of Data, Analytics, and Digital Transformation”, highlights the 4 fundamental aspects of Digital Transformation value creation:
• #1: Identify Sources of Value Creation. Identify sources of value creation with a customer-centric perspective that combines design thinking techniques with basic economic concepts to identify, validate, value, and prioritize the sources of customer value creation.
• #2: Codify Sources of Value Creation. Use advanced analytics (AI / ML) to codify customer, product, and operational insights (propensities) into digital assets – Analytic Profiles (Asset Models) and reusable, continuously learning Analytic Modules.
• #3: Operationalize Sources of Value Creation. Operationalize (scale) the sources of value creation through a production-centric perspective (Michael Porter value chain analysis) that focuses on embedding the customer, product, and operational insights into the organization’s operational systems.
• #4: Continuously Learn and Adapt to Sources of Value Creation. Create a continuously learning technology (with AI / ML) and cultural (empowered teams) environment where the organization learns and adapts with every front-line customer engagement or operational interaction.

The key to successful digital transformation is to leverage the customer, product, and operational insights buried in the data to create an environment and culture of technology and human continuously-learning and adapting. Those that learn and adapt fastest…wins.