In today's business landscape, data strategy plays a pivotal role in driving innovation within business models. This talk explores how organizations can leverage data effectively to transform their operations, products, and services.
Size: 53.14 MB
Language: en
Added: Apr 27, 2024
Slides: 16 pages
Slide Content
Data-Driven Disruption:
The Role of Data Strategy
in Business Model
Innovation
Introduction to Data-Driven
Disruption
The Evolution of Business Models
The Role of Data Strategy
Business Model Innovation through
Data
Overcoming Challenges and Risks
Data-Driven Disruption Examples
Agenda
Data-driven Disruption refers to the
transformative impact of data on industries,
markets, and business models.
Understanding Data-Driven
Disruption
The Evolution of Business Models
Traditional Business Models
Product-centric, focused on manufacturing
and sales.
Data-Centric Models
Data serves as a core asset driving value
creation and innovation.
Implications of Business
Model Evolution
Increased emphasis on data, agility, and
customer-centricity.
Adaptability: Organizations should
respond quickly to changing market
dynamics.
Customer-Centricity: Data-centric
models prioritize understanding and
meeting customer needs.
Data Strategy: A plan outlining how an
organization will leverage data to achieve
business objectives.
Data strategy aligns data initiatives with
business goals and mitigates risks.
The Role of Data Strategy
. Alignment with Business
Strategy
?. Analytics and Data Maturity
Evaluation
?. Data Architecture and
Technology
?. Data Analytics Team
. Data Governance
?. Data Strategy Roadmap
?. Culture Change and Adoption
Data Strategy Components
Business Model Innovation:
Reimagining how a business creates,
delivers, and captures value.
Role of Data:
Data provides insights for identifying
opportunities, optimizing processes, and
creating innovative solutions.
Business Model Innovation
through Data
A. Data-Driven Business Model
Innovation:
This relationship signifies that data-
driven insights from data strategy
efforts influence and inform
business model innovation.
B. Data-Enabled Decision-Making:
Data-driven decision-making, as part
of data strategy, ensures that data
collected and analyzed contribute to
strategic choices and innovations in
the business model.
Relationships and
Interactions
C. Data Strategy as a Driver:
Effective data strategy can serve as a
driver for business model innovation
by providing the necessary data-
driven insights and capabilities.
D. Impact on Organizational
Performance:
Successful business model
innovation, informed by data
strategy, can impact organizational
performance, potentially leading to
increased revenue, market share,
and competitiveness.
Relationships and
Interactions
Overcoming Challenges and
Risks
Data Privacy Concerns: Addressing
regulations and customer trust.
Security Risks: Implementing robust
cybersecurity measures.
Organizational Resistance: Driving cultural
change and fostering innovation.
Strategies for Overcoming
Challenges
Building Trust and Transparency
Investing in Cybersecurity
Driving Cultural Change
Spotify has revolutionized entertainment
with subscription-based models. By
analyzing user data, they offer personalized
recommendations, curated content, and
convenient access across devices, leading
to increased user engagement and loyalty.
Role of Data Strategy: Data analytics drive
content curation, personalized
recommendations, and pricing
optimization, enabling subscription
models to deliver tailored experiences that
resonate with individual preferences.
Data-Driven Disruption
Example:
Alibaba has transformed e-commerce into
platform ecosystems, connecting buyers
and sellers while offering a wide range of
products and services. These platforms
leverage data to facilitate transactions,
personalize recommendations, and
enhance user experiences.
Role of Data Strategy: Data-driven insights
drive marketplace optimization, targeted
advertising, and ecosystem expansion,
fostering growth and innovation within
platform-based business models.
Data-Driven Disruption
Example: