Big Data and Business Analytics Ecosystems.pdf

This presentation explores how Big Data and Business Analytics (BDBA) ecosystems are shaping digital transformation and advancing sustainable development. It explains how data-driven innovation, automation, and collaboration across businesses, governments, academia, and consumers create value while promoting environmental and social responsibility. The presentation discusses the core components, key characteristics, and success factors of sustainable BDBA ecosystems, emphasizing their role in enabling informed decision-making, transparency, and resilience. Through real-world examples from smart cities, supply chains, healthcare, finance, and agriculture, it highlights how data ecosystems contribute to sustainability goals and digital maturity.

1. Created by
Rawan Alharbi
Big Data and Business
Analytics Ecosystems: Paving
The Way
Towards Digital
Transformation and
Sustainable Societies
@2025 Rawan Alharbi. All Rights Reserved.

2. Articles
Authors Title Published date Sourcing Citations
1Ilias O. Pappas, Patrick Mikalef, Yogesh K.
Dwivedi, Letizia Jaccheri, John Krogstie
Responsible Digital Transformation for a
Sustainable Society
2023 Springer 100
2 Rafael Martínez-Peláez , Héctor Brito ,
Ramón A. Félix , Alberto Ochoa-Brust , Luis
J. Mena
, Solange Rivera , Vanessa G. Félix , Rodolfo
Ostos
Role of Digital Transformation for
Achieving Sustainability:
Mediated Role of Stakeholders, Key
Capabilities,
and Technology
2023 MDPI 352
3 Peter M. Bican , Alexander Brem Digital Business Model, Digital
Transformation, Digital
Entrepreneurship: Is There A Sustainable
“Digital”?
2020 MDPI 612
4 Evangelos Katsamakas Digital Transformation and Sustainable
Business Models
2020 MDPI 42
2
@2025 Rawan Alharbi. All Rights Reserved.

3. AGENDA
Abstract Introduction
Big Data and Business
Analytics Ecosystems
Components
BDBA Role in Digital
Transformation
Key Characteristics for
BDBA Ecosystems
BDBA Ecosystems
Support Sustainable
Societies
Critical Capabilities for
Sustainable digital
transformation in
MSMEs
Success Factors for
Building a Sustainable
BDBA Ecosystem
Examples
3
@2025 Rawan Alharbi. All Rights Reserved.

4. ABSTRACT
4
The development of Big Data and Business Analytics
(BDBA) ecosystems has changed how firms
implement and manage processes pertaining to
digital transformation and sustainability. Such
ecosystems combine technologies, organizations, and
society and enable companies to treat data as an
information resource for EDMI (enhancing decision
making, innovation, and valorization) and value
creation. This presentation analyzes the constituents
and critical success components of BDBA
ecosystems, focusing on their contribution to
enabling sustainable digital transformation. SMEs’
stakeholders and policy constructs are analyzed
along with advanced frameworks for building data
fueled, environmentally responsible organizations.
@2025 Rawan Alharbi. All Rights Reserved.

5. INTRODUCTION
5
For enterprises attempting to achieve lasting effect
and survival, digital transformation is no longer
optional, but an absolute requirement. At the center
of this change are Big Data and Business Analytics
ecosystems, which are socio-technical combining
data, technology, people, and policies into a unified
whole. These ecosystems allow for prompt
decision making through data processing, foster
innovations, and encourage sustainable practices.
BDBA ecosystems are especially important as they
enable the alignment and integration of digital
technologies and initiatives with environmental
and sustainability frameworks, thus responding to
growing socioeconomic and ecological business
demands.
@2025 Rawan Alharbi. All Rights Reserved.

6. Big Data and Business
Analytics Ecosystems
➢BDBA ecosystems are socio-technical
environments where multiple actors
(organizations, individuals, technologies,
policies) interact to create, analyze, and utilize
data to enable innovation and transformation
[1].
6
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7. Components
7
•Businesses, governments, academia,
platform providers, consumers.Actors
•Big data platforms, AI/ML tools, analytics
dashboards, cloud systems.Technologies
Technical infrastructure, data governance,
human expertise, interoperability.Capabilities
Data collection, integration, analysis,
decision-making, feedback loops.Processes
Economic gains , environmental performance
and social equity Triple Bottom Line [2].Value
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8. BDBA Role in Digital Transformation
8
❑Data as a strategic asset: Organizations use real-time data for
predictive decision-making and personalized services.
❑Automation and optimization: Analytics power intelligent
automation of business processes.
❑Innovation driver: Data insights is the premier innovator for novel
digital products, services, and entire business frameworks.
❑Responsiveness to societal needs: BDBA tools help organizations
align offerings with consumer trends and policy changes [2].
@2025 Rawan Alharbi. All Rights Reserved.

9. 9
Feature Description
Data-Driven Culture
Decisions across the ecosystem are based on analytics, not
intuition.
Real-Time Responsiveness Analytics enable just-in-time insights and adaptation.
Scalable Architecture
Infrastructure (cloud, APIs) supports flexible and rapid
deployment.
Collaborative Governance
Data sharing agreements, trust frameworks, and standards
guide the ecosystem.
Ethical Data Practices
Privacy, fairness, transparency, and consent are embedded
into data handling.
Sustainability KPIs
Environmental and social performance indicators are
integrated into reporting [3].
Key Characteristics for BDBA Ecosystems
@2025 Rawan Alharbi. All Rights Reserved.

10. BDBA Ecosystems Support Sustainable Societies
10
Environmental Sustainability
•Predictive analytics for waste reduction, carbon tracking, and resource optimization
•Digital twins to simulate energy usage and optimize production
Social Inclusion
•Improved public service delivery (smart health, education)
•Data-driven policymaking that reduces inequality and improves access
•Support for digital entrepreneurship, especially for underserved groups
Economic Resilience
•Platform ecosystems help SMEs compete globally
•Analytics-driven agility allows businesses to adapt to disruptions
•Efficient resource use leads to cost savings and circular economy alignment[1]
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11. 11
❑Organizational Culture
❖Embed sustainability in the core culture.
❖Align employees, leadership, and policies
toward long-term environmental and social
goals.
❖Companies with sustainability-focused cultures
gain stakeholder trust and competitive
advantage.
Critical Capabilities for Sustainable digital transformation
in MSMEs
❑Modern Management Models
❑Leaders must have:
❖Soft skills: Creativity, adaptability, collaboration
❖Digital skills: Data literacy, AI comprehension
❖Environmental focus: Energy efficiency, eco-
awareness
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12. 12
❑Education and Training
❖Investment in upskilling workers is critical.
❖Training supports tech adoption, innovation, and
efficient use of real-time digital tools.
❖Includes both technical (data analysis) and soft
skill development (communication).
Critical Capabilities for Sustainable digital transformation
in MSMEs…
❑Workplace Design
❖Flexible, safe, and collaborative work
environments are vital.
❖Encouraging digital collaboration fosters
innovation.
❖Considerations include health, wellbeing, and
creative spaces [3].
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13. 13
1)Businesses supply and use data to enhance competitiveness.
2)Governments provide regulatory frameworks and public data infrastructure.
3)Academia contributes knowledge and innovation.
4)Consumers generate data and demand ethical use of it.
5)Platforms and cloud providers act as ecosystem enablers (Amazon Web
Services, Azure) [3].
Stakeholders and Co-Creation in BDBA Ecosystems
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14. 14
Special Issues
1.Data Governance and Privacy: Protecting organizational
and personal data while ensuring compliance with
applicable laws like GDPR and CCPA.
2.Talent and Skills Gaps: The lack of analytic and data
literacy skills prevents SMEs from attaining full ecosystem
adoption.
3.Interoperability Challenges: The integration of various
systems, data sources, and platforms require strong
infrastructure and open standards.
4.Resistance to Cultural Change: The technological
updating for the embedding of sustainability data integration
is complex and takes extended periods of time.
5.Equity in Access: Developing regions and SMEs may not
have the means to fully engage in the BDBA ecosystems
[4].
@2025 Rawan Alharbi. All Rights Reserved.

15. 15
❑Technical Factors
➢Interoperable data standards (open APIs)
➢Robust cloud infrastructure
➢Advanced analytics and AI integration
Success Factors for Building a Sustainable BDBA
Ecosystem
❑Organizational Factors
➢Leadership commitment to data-driven
culture
➢Internal data literacy and analytics
teams
➢Sustainability embedded in KPIs and
OKRs
@2025 Rawan Alharbi. All Rights Reserved.

16. 16
Success Factors for Building a Sustainable BDBA
Ecosystem…
❑Governance & Policy Factors
❖Data privacy regulation (GDPR,
CCPA)
❖Ethical AI policies
❖Public-private partnerships for
platform funding
❑Ecosystemic Factors
❖Active collaboration between businesses,
academia, NGOs, and governments
❖Shared digital infrastructure
❖Community trust and data participation
[3]
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17. 17
Strategies
1.Leadership and Vision: Foster executive attention to data
innovation and sustainability as primary drivers of business
value.
2.Workforce Development: Support educators and trainers
for the development of technical skills (analytics, AI) and
soft skills (flexibility, collaboration).
3. Agile and Inclusive Workplace Design: Support the
development of flexible, health-promoting, and innovation
fostering work cultures.
4.Stakeholder Engagement: Enable trust and collective
impact through co-creation across businesses, government,
academia, and consumers.
5.Technology Enablement: Facilitate integration approaches
through the use of interdependent APIs, cloud hosting
services, and powerful analytics [2].
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18. Examples
18
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19. 19
Examples Impact Enabled by Big Data Ecosystem
Smart Cities
Energy consumption tracking, congestion prediction,
urban mobility optimization
Supply Chains
Carbon footprint tracking, supplier ESG scoring, circular
economy modeling
Healthcare
Predictive diagnostics, health equity monitoring,
pandemic response systems
Finance
ESG investment analytics, green bonds verification, risk
exposure modeling
Agriculture
Water use optimization, crop forecasting, biodiversity
impact tracking [4]
Sustainability Impacts Enabled by BDBA Ecosystems
@2025 Rawan Alharbi. All Rights Reserved.

20. RECOMMENDATIONS
20
✓Policymakers: Implement ethical AI and data privacy
policies while providing financial and digital
infrastructure support to SMEs.
✓Businesses: Incorporate sustainability into KPIs, build a
data-savvy workforce, and embrace new management
paradigms.
✓Acedemia: Collaborate with the industry to advance
innovation and offer requisite upskilling.
✓Solution Distributors: Guarantee accessibility and
security of the platforms and enable different stakeholder
groups to work together.
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21. CONCLUSION
21
The ecosystem of Business Analytics and Big Data promotes
the digital transformation of a company. Such ecosystems
focus on technological potential, organizational culture,
stakeholder partnerships, and, in turn, enable businesses to
digitally innovate and compete commercially in an ever-
changing digital world. The advancement toward sustainable
development combines data and insights, empowered
ecosystems, workforce, and holistic socio-environmental
impact focused on lasting health value.
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22. References
22
1.Bican, P. M., & Brem, A. (2020). Digital business model, digital transformation, digital entrepreneurship: Is there
a sustainable “Digital”?Sustainability,12(13), 5239.https://doi.org/10.3390/su12135239
2.Pappas, I. O., Mikalef, P., Dwivedi, Y. K., Jaccheri, L., & Krogstie, J. (2023). Responsible digital transformation
for a sustainable society.Information Systems Frontiers,25(3), 945–953.https://doi.org/10.1007/s10796-023-
10406-5
3.Martínez-Peláez, R., Ochoa-Brust, A., Rivera, S., Félix, V. G., Ostos, R., Brito, H., Félix, R. A., & Mena, L. J.
(2023). Role of digital transformation for achieving sustainability: mediated role of stakeholders, key capabilities,
and technology.Sustainability,15(14), 11221.https://doi.org/10.3390/su151411221
4.Katsamakas, E. (2022). Digital transformation and sustainable business models.Sustainability,14(11),
6414.https://doi.org/10.3390/su14116414
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23. @2025 Rawan Alharbi. All Rights Reserved.