Digital Transformation – Guiding the Big Data to Strengthen the Decision-Making

Introduction

• Digital Disruption, Disruptive Technologies, Digital Maturity and Digital Transformation,
• How to turn digital disruptions into business opportunities ?
• Transforming the business culture enabled by technology,
• Types of Business Models of the Digital Age,
• Essential elements of Digital Business Models : Motivation Model, Strategy Map, Value Chain and Value Propositions for Digital Transformation
• How to ensure Data Readiness in the digital age,
• Core elements of the Operating Models for building Digital Capabilities: The Business Architecture Guild and the Open Group’s Business and Enterprise Architectures

Digital Business Models to coordinate Operating Elements

• Capturing Changes : Competitor Propositions, Digital Techno Disruption, Competitive Pressures, Changing Customer Behaviors,
• Sources of Change and Assessment of Impacts (Influencers, Assessments, SWOT analysis, Potential Impacts) using the Digital Business Models,
• Deciding on Desired Results : Business vision, goals and objectives,
• Deciding on Means on the basis of Impacts on the Value Chain: Missions, strategies, tactics, business policies and rules
• How can strategies coordinate customer facing / value added capabilities in order to adapt value propositions ?
• Leveraging the power of your data,
• Data Strategy for Digital Transformation,
• Aligning Data with Business Objectives : From the Vision and Mission Statement to Roadmaps
• Data Quality and Data Architecture Principles,
• Case Study : Define Digital Strategies based on impacts upon the Activities of the Value Chain

Building the Capability Map, Data Flows and Value Propositions on the basis of Digital Business Model Decisions

• How to ensure coherence between perspectives of the Digital Strategy Map ?
• Impacts on the Capability Map and other elements of the Business Architecture Model,
• Building Capabilities using the TOGAF®’s Architecture Development Method (ADM) Cycles,
• Traceability until operational business elements (processes, organisation units, liabilities and assets),
• Using Value Added / Customer Facing Capabilities to provide stakeholders with the right and timely data for making decisions,
• Strategic and tactical contract writing to “channel and guide” the big data including their updates in both directions,
• Guiding and governing Big Data Management tools data flows (example using Informatica’s Power Center Big Data Management Edition)
• Describing Value Propositions, Customer / Partner Relationships and Delivery Channels of the Business Model Canvas (BMC) based on Services exposed by Value Added Functions,
• Case Study : Adjust Digital Strategies based on “Data Flows” between business functions of the Capability Map and define elements of the BMC based on exposed services
• Fine tuning Value Propositions, Delivery Channels, Client / Partner Relationships and Capabilities using feedbacks provided by digital consumers
• Elements of the Business and Value Model Canvas to adjust Value Propositions,
• Positioning Elements of the Business Model Canvas using a “Value Driven” Strategy Map : best practices,
• Using the Business Model & Value Proposition Canvases to develop and maintain differentiating ‘Products & Services’ on the basis of Market Forces, Strategies & Partnerships,
• Improving Consumer Experiences by building a multitude of touch points to interact with them,
• Defining Value Streams and their stages to capture feedbacks from digital consumers,
• Manage feedbacks provided by the Value Streams to adjust elements of the Model Canvas,,
• Case Study : Adapt the Business Model Canvas and Capabilities for strategy revisions using feedbacks from digital consumers

Conclusion 

• Recap on the steps of Digital Transformation
• Tool support