
The Evolution of Advisory
1910s-1920s
The Birth of Modern Consulting
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Management consulting emerges as a profession
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Arthur D. Little founded (1886)
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Booz Allen Hamilton established (1914)
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McKinsey & Company founded (1926)
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1930s-1940s
The Great Depression and World War II drive demand for efficiency and strategic business planning
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Rise of operations and strategy consulting
1950s-1970s
The Era of Structured Methodologies
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1950s: Rise of strategic planning for long-term growth strategies
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1963: Boston Consulting Group (BCG) founded
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Introduction of frameworks like the Growth-Share Matrix
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Introduction of data-driven decision-making
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Development of corporate restructuring techniques
1980s-1990s
The Rise of Digital & Process Optimisation
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1980s: Emergence of technology consulting as computers become core business functions
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Firms like Accenture (formerly Andersen Consulting) begin integrating IT advisory
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1990s: Rise of ERP systems (SAP, Oracle)
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Focus on process reengineering and operational efficiency
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Expansion into technology-driven business transformation
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2000s-2010s
Digital Transformation & Data-Driven Insights
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2000s: Dot-com boom and globalisation shift consulting focus
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Digital strategy
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Outsourcing
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Global expansion
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2010s: Explosion of big data, AI, and automation redefines advisory services
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Shift from static reports to continuous advisory
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Growing demand for real-time insights and predictive analytics
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2020s & Beyond
ntelligent Advisory & Platform-Based Consulting
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2020s: Evolution from traditional to digitised advisory
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AI-driven diagnostics
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Optimisation engines
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Collective intelligence platforms
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Shift from traditional consulting engagements to platform-based advisory
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Delivery of professional-grade insights without reliance on external consultants
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Future Trends
• Blending of human expertise and AI
• Creation of autonomous, self-optimizing advisory platforms
• Real-time strategic guidance
• Integrated benchmarking and predictive insights
The Stream Insights (Si) Revolution
• Key Innovation: Si doesn't consult—it connects
• Core Differentiator: Blends financial, operational, and system data with people-sourced intelligence
• Capabilities:
o Reveals what's happening
o Explains why it's happening
o Recommends what to do next
o Closes the loop between data and decision
o Bridges strategy and reality
o Connects intent with impact
Key Results
• People-sourced data becomes core to decision-making
• Advisory becomes intelligent, adaptive, and decentralized
• The missing layer of business intelligence is finally integrated

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