Speed, Data, and Ecosystems

Introduction Introduction SPEED DATA ECOSYSTEMS THE BAPO MODEL WHERE ALL THIS COMES FROM FOR WHOM THIS BOOK WAS WRITTEN READING GUIDE Trends in Society, Business and Technology TRENDS AND DRIVERS PRODUCTS TO SERVICES TOWARDS CUSTOMER DRIVEN INNOVATION CHANGING NATURE OF INNOVATION SOFTWARE SIZE NEED FOR SPEED FROM "NO DATA" TO "BIG DATA" TO "SMART DATA" FROM PRODUCTS TO PLATFORMS AND ECOSYSTEMS CONCLUSION Illustrating Our Story: VIGANBE VIGANBE: AN INTRODUCTION STRATEGY ARCHITECTURE AND TECHNOLOGY ORGANIZING CONCLUSION Speed The Stairway to Heaven: Speed DIMENSION 1: SPEED TRADITIONAL DEVELOPMENT Definition Drivers for Adoption Feedback Loop Implications Remaining Concerns Example AGILE PRACTICES Definition Drivers for Adoption Feedback Loop Implications Remaining Concerns Example CONTINUOUS INTEGRATION Definition Drivers for Adoption Feedback Loop Implications Remaining Concerns Example CONTINUOUS DEPLOYMENT Definition Drivers for Adoption Feedback Loop Implications Remaining Concerns Example R&D AS AN INNOVATION SYSTEM Definition Drivers for Adoption Feedback Loop Implications Remaining Concerns Example CONCLUSION Throughput and Responsiveness LARGE SCALE SOFTWARE DEVELOPMENT FOR B2B MARKETS THROUGHPUT AND RESPONSIVENESS CUSTOMER-UNIQUE VERSUS CUSTOMER-FIRST CUSTOMER-SPECIFIC TEAMS FEATURE GENERALIZATION PROFESSIONAL SERVICES BRINGING IT ALL TOGETHER EXPERIENCES AND IMPLICATIONS CONCLUSION Managing Architecture ARCHITECTURE TECHNICAL DEBT ARCHITECTURE REFACTORING THE ROLE OF THE ARCHITECT ART: AN ORGANIZATIONAL MODEL EXPERIENCES CONCLUSION Continuous Integration BENEFITS OF CONTINUOUS INTEGRATION TESTING CHALLENGES CITIM CIVIT Capturing Current State Envisioning Desired State Gap Analysis and Improvement Planning Post-Deployment Testing PROCESS AND ORGANIZATION EXPERIENCES CONCLUSIONS Data The Stairway to Heaven: Data DIMENSION 2: DATA AD-HOC USE OF DATA Definition Drivers for Adoption Data-Driven Principles Implications Remaining Concerns Example COLLECTION Definition Drivers for Adoption Data-Driven Principles Implications Remaining Concerns Example AUTOMATION Definition Drivers for Adoption Data-Driven Principles Implications Remaining Concerns Example DATA INNOVATION Definition Drivers for Adoption Data-Driven Principles Implications Remaining Concerns Example EVIDENCE-BASED COMPANY Definition Drivers for Adoption Data-Driven Principles Implications Remaining Concerns Example CONCLUSION Feature Experimentation THE HYPEX MODEL GENERATE FEATURE BACKLOG Customers Business Strategy Bottom-up Innovation Prioritizing the Feature Backlog DEFINE EXPECTED BEHAVIOUR IMPLEMENTATION AND INSTRUMENTATION OFCODE (MVF) GAP ANALYSIS DEVELOP AND TEST HYPOTHESES ITERATION EXAMPLE CONCLUSION Evidence-Driven Development A CONCEPTUAL FRAMEWORK THE QCD METHOD REQUIREMENTS TO HYPOTHESES HYPOTHESIS TESTING TECHNIQUES Concept Testing A/B Testing SCOPE OF DEVELOPMENT New Product Development New Feature Development Feature Optimization BRINGING IT ALL TOGETHER: QCD EXAMPLE CONCLUSION Ecosystems The Stairway to Heaven: Ecosystems SOFTWARE ECOSYSTEMS TOWARDS THE THREE LAYER PRODUCT MODEL Complexity Problems During Evolution THREE LAYER PRODUCT MODEL Commoditized Functionality Layer Differentiating Functionality Layer Innovation and Experimentation Layer Productization and Commoditization Process Architecture Refactoring Process VALIDATION ECOSYSTEM DIMENSION INTERNALLY FOCUSED Definition Drivers for Adoption Ecosystem Principles Implications Remaining Concerns AD-HOC ECOSYSTEM ENGAGEMENT Definition Drivers for Adoption Ecosystem Principles Implications Remaining Concerns TACTICAL ECOSYSTEM ENGAGEMENT Definition Drivers for Adoption Ecosystem Principles Implications Remaining Concerns STRATEGIC SINGLE ECOSYSTEM ENGAGEMENT Definition Drivers for Adoption Ecosystem Principles Implications Remaining Concerns STRATEGIC MULTI-ECOSYSTEM ENGAGEMENT Definition Drivers for Adoption Ecosystem Principles Implications Remaining Concerns CONCLUSION Three Layer Ecosystem Strategy Model THREE ECOSYSTEMS INNOVATION ECOSYSTEM Drivers Characteristics DIFFERENTIATION ECOSYSTEM Drivers Characteristics COMMODITIZATION ECOSYSTEM Drivers Characteristics CHALLENGES IN ECOSYSTEM ENGAGEMENT Innovation Ecosystem Differentiation Ecosystem Commoditization Ecosystem ECOSYSTEM STRATEGIES Innovation Strategies Differentiation Strategies Commoditization Strategies TELESM Innovation Strategy Selection Transition to Differentiation Ecosystem Differentiation Strategy Selection Transition to Commodity Ecosystem Commodity Strategy Selection CONCLUSION Implications of Software Ecosystems INDUSTRY STRUCTURES Vertically Integrated firms System Integrators and Specialized Suppliers Supply Chains Closed Ecosystem Open Ecosystem When Industries Transition ESAO MODEL The ESAO Model Triggers and Responses ESAO Innovation Strategies OBSERVED CHALLENGES Software Architecture R&D Organisation RECOMMENDATIONS Customers first; developers second Platform should be in the middle of every transaction Proactively incorporate functionality and data models Communicate clear, multi-year roadmaps Model platform as the next computing platform abstraction layer CONCLUSION Conclusion Conclusion SPEED DATA ECOSYSTEMS MAXIMIZING SYNERGY HOW TO USE THE STAIRWAY TO HEAVEN THE FUTURE

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• Indústrias das tecnologias da informação
• Engenharia do software
• Gestão da pesquisa e desenvolvimento
• Bases de Dados