Module I·Article IV·~1 min read
Digital Transformation Strategy: Where to Start
Digital Transformation and AI
Turn this article into a podcast
Pick voices, format, length — AI generates the audio
Diagnosis of Digital Maturity
Before building a strategy—assess the current state. Maturity models: MIT CISR Digital Maturity Model (4 stages: beginner → fashionista → conservative → digerati), McKinsey Digital Quotient.
Key dimensions: digital capabilities (technology, data, processes); organizational readiness (culture, talent, leadership).
Common Mistakes in Digital Transformation
"Technology for technology's sake": "Let's implement blockchain" without understanding what problem it solves.
"Too many projects at once": running 30 initiatives in parallel → none are completed.
"The wrong problem": automation of an inefficient process makes it efficiently inefficient.
"Resistance is ignored": an IT project without business engagement → unused.
"Start with Value" Framework
- Identify customer/business pain points (Customer/Business Problem)
- Formulate the desired outcome (Outcome)
- Choose technology that solves the problem (Technology)
- Gather data and competencies (Data & Capabilities)
- Launch MVP, measure, improve (Iterate)
Architecture of a Digital Platform
A modern organization's "digital platform" includes: (1) Cloud Infrastructure (AWS/Azure/GCP); (2) Data Platform (Data Warehouse, Data Lake); (3) API layer (system integration); (4) AI/ML Platform; (5) Customer Experience Layer (mobile, web, IoT); (6) Security & Compliance.
"Composable Enterprise"—a modern approach: independent, replaceable components (Packaged Business Capabilities, PBC), connected by APIs, instead of monolithic ERP.
Practical Assignment
Choose one specific process in the organization (receiving supplies, client KYC, invoice processing). (1) Describe "as-is": steps, time, errors. (2) Describe "to-be" using technologies. (3) Assess: how much time/money will automation save? (4) Where to start—a MVP in 3 months?
§ Act · what next