List of Tables

Customer First. Value Next.
The Executive Playbook for AI-Driven Omnichannel Personalization and Customer-Centric Growth

by Mariusz Gromada

Frameworks & Data

• Table 1: Converting raw customer data into actionable business insights. [62]
• Table 2: Aligning analytical roles with strategic horizons and business objectives. [63]
• Table 3: Differentiating analytics across operational, tactical, and strategic levels (with time horizons). [65]
• Table 4: The impact of the deployment model on management effort and solution agility. [73]
• Table 5: The complete chain of analytical deliverables from data preparation to business value generation. [82]
• Table 6: The readiness checklist for the “Defining key objectives” stage. [83]
• Table 7: The readiness checklist for the “Choosing the analytical method” stage. [84]
• Table 8: The readiness checklist for the “Data collection” stage. [86]
• Table 9: The readiness checklist for the “Data understanding, preparation, and feature engineering” stage. [87]
• Table 10: The readiness checklist for the “Selecting analytical tools” stage. [89]
• Table 11: The readiness checklist for the “Conducting the analysis” stage. [90]
• Table 12: The readiness checklist for the “Interpretation of results” stage. [92]
• Table 13: The readiness checklist for the “Building the narrative” stage. [94]
• Table 14: The readiness checklist for the “Analytics communication” stage. [95]
• Table 15: The readiness checklist for the “Implementation” stage. [96]
• Table 16: The readiness checklist for the “Monitoring and validation” stage. [98]
• Table 17: The readiness checklist for the “Feedback loop and continuous improvement” stage. [99]
• Table 18: Key analytics use cases supporting Omnichannel and Customer Journey mapping. [108]
• Table 19: The transition from schedule-based campaigns to context-driven interactions. [144]
• Table 20: The Uplift Matrix distinguishing organic behavior from marketing impact. [210]
• Table 21: The experimental design framework for measuring true incremental impact. [97]
• Table 22: The five essential roles driving the Data SWAT Team. [299]
• Table 23: Key metrics defining the strength and depth of the customer relationship. [313]
• Table 24: Key metrics linking customer engagement to commercial success. [314]
• Table 25: Key metrics for defending the customer base and monitoring attrition risk. [315]
• Table 26: Operational guardrails to protect the customer base from overheating. [316]
• Table 27: Key metrics for verifying the actual value of marketing interventions. [318]
• Table 28: Key metrics balancing digital efficiency with the human touch. [319]
• Table 29: Key metrics for monitoring system health and operational SLA. [320]
• Table 30: How I wrote this book – process, workflow, and tools used. [355]