As the future of digitization and customer data drives new business transformation for the next century it is fundamentally the choices of supply and demand markets to provide data analytics for user-created content and business value chains.

1. VALUE STREAM INTELLIGENCE SERIES
BUSINESS ANALYST WORLD CHICAGO
Strategic & Business Management
Thomas Silvestri
21st Century Digital Transformation

2. Key Takeaways
• Competitive Market Economics
• Value Chain Systems
Business Value
Chain
Re-engineered
• Digital and Data Governance
• Future Models for Transformation
IT Data Multipliers
• 21st Century Systems Thinking
• Utilities, Enablers and Drivers
M2M Systematic
Patterns
Digital Citizen
Integrators
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• Business and Prosumer Integrators
• Future of Adaptive Transformation

3. Introduction
By 2025, all the data in the world will have out grown 100 fold server
storage and a 10,000 fold increase in data proliferation. This
technological era will revolutionize the speed and scale of our
business models while fostering in new digital innovation and
growth.
The future of digitalization and customer/client experience (CX) will
drive a new frontier of business transformation models for the 21st
century. Fundamentally, business and technology leaders need to
articulate strategic investments in digitalization, data analytics and
intelligence for new business value chain models and systems.
What are the key business drivers for the 21st century digital
transformation?
➢ Digital Device Revolution
➢ Data Analytics / User-Created Content
➢ Data Science / Consumer Storytelling
➢ Data Models / Platform Technologies
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4. Business Value Chain Re-engineered
Today’s business value chain is primarily a process of
competitive market economics. In the future your value
chain principles will systematically depreciate due to
hyper competition, new digital disruptors, speed of
commoditization, customer network scale and overall
higher input costs to profit margin ratios.
Today’s digital transformation presents the following
challenges for business leaders:
➢ Inefficient Data Architectures
➢ Digital Data is not a Business Asset
➢ Ineffective Senior Management Governance
➢ Lack of buy-in for Business Model Transformation
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5. Business Value Chain Re-engineered
Today’s digital companies are deconstructing the
transactional value flows to gain market share and
maximize customer value by: first-mover advantages,
digital assets, network scale, and the ability to create new
business value with data analytics. The businesses of the
future will require a CX differentiation through new value
chain principles.
The 21st century value chain principles must be re-
engineered to model a technology platform superiority in
a hyper competitive global marketplace to achieve:
➢ Sustainable competitive advantages thru digital
leadership
➢ Analytical intelligence for client/customer centricity
➢ New revenue streams and optimum profitability
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6. Business Value Chain Model
Re-engineered for Competitive Advantages
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7. IT and the Data Multipliers
For most companies, strategic investing in digitalization and data analytics
means to develop analytic capabilities to remain competitive, not to be
transformative. Mainstream IT leaders are demonstrating advanced
capabilities, while new digital native leaders are approaching Analytics
Maturity Model with Amazon being the closest to achieving “Analytics
Nirvana.” Companies that don’t develop similar transformative capabilities
will fail to compete. In the 21st century all business leaders, technologists,
and analysts will compete by building new digital data tools and models.
Digital transformation models and the role of the business analyst:
➢ Business Value: Develop strategic solutions for value optimization
➢ Business Technology: Build IT models for market intelligence
➢ Business Governance: Govern the 21st century analytics maturity
➢ Business Organization: Enable new data-driven culture for performance
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8. Digital Data Model
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9. M2M and Systematic Patterns
In order to evolve and prosper in your new transformation of the 21st
century, business insights will require new pillars of digital leadership. This
will require substantial investments in machine-to-machine learning (M2M)
and leveraging IT platforms. Cloud, mobile, social and hybrid infrastructure
has pressurized technology systems to perform on new market patterns that
emerge from customer/client data. Your organization’s view of
customer/client data relevant to market leadership and platform technology
position requires a fundamentally different mindset in approaching the 21st
century.
➢ Utilities: Information should be available to as many business analysts as
possible, and whatever those needs may be, and whatever value the
information may bring.
➢ Enablers: Digital transformation will be tailored toward specific financial
goals, and requirements are derived from that business goal by business
analysts.
➢ Drivers: Businesses may not understand the business intelligence until
they know how to use it, business analysts create a new digital life.
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10. M2M Systematic Model
DIGITAL LIFE
DATA
ANALYTICS
DIGITAL
TRANSFORMATION
BUSINESS
INTELLIGENCE
VALUE
CREATION
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11. Digital Citizen Integrators
Businesses are driving the digital adoption of these technology
platforms to address this new class of prosumer: the rising of
"personal" integrator drives the phenomenon of “digital citizen
integrators". IT leaders will have to manage it because you don't
want consumers/clients to pursue DIY integration in a spontaneous,
unregulated fashion. The prosumer is rapidly transforming every
aspect of our digital lives through user created content: intelligent
smart tools, integrated bots and predictive analytics.
Digital citizen transformation principles:
➢ Digital citizens’ lifestyles are game-changers
➢ Technology is persona centric
➢ Prosumer integrators are value creators
➢ Empowerment is business success
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12. Digital Citizen Model
Empowerment
Customize
Persona
Lifestyle
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13. Key Findings
➢ The future of digitalization and customer/client experiences
drives new business transformation models built on data
science
➢ Rapid, agile constructs of data analytics will impact and
disrupt global value chains for innovative products and
services
➢ Internet of Things (IOT) will be the new fabric of digital life
and M2M connectedness
➢ Digital information is platform for empowering business
revenue models for competitive advantages
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14. Key Takeaways
• Competitive Market Economics
• Value Chain Systems
Business Value
Chain
Re-engineered
• Digital and Data Governance
• Future Models for Transformation
IT Data Multipliers
• 21st Century Systems Thinking
• Utilities, Enablers and Drivers
M2M Systematic
Patterns
Digital Citizen
Integrators
• Business and Prosumer Integrators
• Future of Adaptive Transformation
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