Internet of Things and Big Data as enablers for business digitalization strategies.pdf

This presentation explores how the integration of the Internet of Things (IoT) and Big Data serves as a powerful enabler for business digitalization strategies. It highlights how these technologies transform traditional enterprises into agile, data-driven, and customer-centric organizations by enabling real-time data collection, advanced analytics, and automation. The presentation discusses their strategic role in improving operational efficiency, fostering digital innovation, and reshaping enterprise architecture and smart management systems. Through global case studies, it demonstrates how IoT and Big Data drive sustainability, enhance decision-making, and create competitive advantages in various sectors.

1. Internet of Things and Big Data as
enablers for business digitalization
strategies
Created by
Rawan Alharbi
@2025 Rawan Alharbi. All Rights Reserved.

2. Articles
Authors Title Published date Sourcing Citation
1 Qingyu Zhang , Aman Ullah , Sana Ashraf ,
Muhammad Abdullah Synergistic Impact of Internet of Things and Big-
Data-Driven
Supply Chain on Sustainable Firm Performance
2024 MDPI 257
2
Anca Antoaneta Vărzaru , Claudiu George
Bocean
Digital Transformation and Innovation: The
Influence of Digital
Technologies on Turnover from Innovation Activities
and Types
of Innovation
2024
MDPI 17
3 Nitin Liladhar Rane
Enhancing customer loyalty through Artificial
Intelligence (AI), Internet of Things
(IoT), and big data technologies: Improving
customer satisfaction, engagement,
relationship, and experience
2023 MDPI 163
4 Zhuming Bi, Yan Jin, Paul Maropoulos, Wen-
Jun Zhang & Lihui Wang
Internet of things (IoT) and big data analytics (BDA)
for
digital manufacturing (DM)
2023 International
Journal of
Production
Research
110
5 MOUSUMI , ABHIJIT ROY Nexus of Internet of Things (IoT) and Big Data:
Roadmap for Smart
Management Systems (SMgS)
2019 ResearchGate 61
2
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3. Agenda
▪Abstract
▪Introduction
▪Strategic Role of IoT and Big Data in Business Digitalization
▪Internet of Things (IoT)
▪Big Data (BD)
▪IoT and Big Data Integration
▪Digital Innovation enhanced by IoT and Big Data
▪ Enterprise Architecture Transformation
▪ Smart Management Systems
3
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4. Abstract
4
The IoT and BD interact with each other and technologically into one another, and has
become a key component for Business digitalization strategies .These technologies aid in
real-time data capture, enabling improved decision-making and automation of processes
which shift the legacy enterprise systems to data-focused, customer-oriented, and agile
businesses. This presentation analyzes strategic considerations concerning the above
technologies integration, its effect on enterprise architecture and smart management systems,
and it's use in different sectors.
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5. Introduction
5
Businesses today work smarter rather than harder, thanks to the increasing use of
connected devices and data. The Internet of Things and Big Data are not only being
adopted to boost efficiency, but also to introduce innovative business practices that
deliver sustained growth. The IoT allows different devices to communicate and generate
data in real-time while Big Data makes it possible for businesses to analyze huge sets of
data for useful information. They enable companies to shift from traditional structures
into more decentralized, agile, and customer-driven organizations.
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6. Strategic Role of IoT and
Big Data in Business
Digitalization
6
The IoT and Big Data strengthens the
digitalization strategies at the Business level
by providing support for real-time data
collection and decision-making, driving
automation and optimization of processes,
supporting adaptive and flexible enterprise
systems, and enabling service-centered
business models that place customers at the
forefront [1].
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7. Internet of Things (IoT)
7
❑IoT refers to interconnected devices embedded with sensors,
actuators, software, and network connectivity that allow them
to collect and exchange data. In the business context, IoT
enables a continuous flow of information from all parts of an
operation [1].
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8. IoT Capabilities
8
Real-Time Data Collection
•Tracks energy consumption, emissions, machine performance, and
inventory status
•Enables live reporting and instant action
Visibility and Traceability
•Tracks the origin, movement, usage, and return of materials
•Essential for circular economy models and product lifecycle tracking
Automation and Responsiveness
•Supports self-regulating systems that trigger alerts or initiate actions
autonomously
•Reduces delays and enhances operational agility[2]
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9. Business Digitalization Impact
(IoT)
9
Transforms passive data into
proactive business decisions
Improves service quality and
operational efficiency
Enables real-time adaptation
and responsiveness[3]
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10. Big Data
10
❑Big Data refers to the collection, processing, and
analysis of massive datasets derived from customer
interactions, sensors, social media, and transactions
[1].
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11. Big Data Capabilities
11
Data Integration and Processing
•Gathers structured (inventory) and unstructured (sensor, social media) data
•Cleans, clusters, and organizes data for analysis
Advanced Analytics and Forecasting
•Uses AI and machine learning to detect patterns and predict outcomes ( demand,
disruptions, maintenance).
•Enables simulations and scenario planning.
Real-Time Decision Support
•Helps managers quickly understand operational health, risks, and opportunities.
•Supports prescriptive analytics[2]
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12. Business Digitalization Impact
(Big Data)
12
Improves customer-centric
decision-making
Enhances engagement through
relevant, real-time interactions
Supports agile operations and
innovation cycles[3]
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13. IoT and Big Data Integration
13
IoT Functionality Big Data Complement Digitalization Outcome
Sensor-based data capture
Analytical processing of real-time
inputs
Predictive maintenance and agile
operations
Asset and supply chain
monitoring
Trend forecasting and
optimization
Sustainable logistics and
production
Usage data from connected
products
Customer behavior modeling
Hyper-personalized product and
service experiences
Real-time event tracking
Automated alerts and response
algorithms
Enhanced responsiveness and risk
mitigation [4]
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14. 14
Digital Innovation enhanced by IoT
and Big Data
Innovation Domain IoT and Big Data Contributions
Business Process Innovation Real-time optimization and automation
Logistics & Supply Chains
Intelligent routing, inventory control, and demand
prediction
Information Processing Streamlined internal and external communication
Customer Experience
Feedback-driven personalization and service
enhancements
Product & Service Innovation
New value offerings based on usage and behavioral
data
Organizational Agility Predictive insights and dynamic reconfiguration [4]
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15. 15
Enterprise Architecture Transformation
❑Enterprise Architecture Transformation refers to the strategic evolution of an organization’s architecture to
improve flexibility, adaptability, and responsiveness in a dynamic digital environment. This transformation is driven
primarily by the integration of Internet of Things (IoT) and Big Data (BD). IoT enables real-time data collection
from a wide array of connected devices, machines, and systems across the enterprise, creating a rich foundation of
operational data. BD processes and analyzes this vast and diverse data to generate timely insights, support predictive
decision-making, and optimize system performance. Together, IoT and BD shift enterprise architecture from rigid,
hierarchical structures to more agile, data-driven frameworks that can adapt quickly to change, enhance
collaboration, and drive innovation across digital manufacturing systems [1].
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16. 16
Smart Management Systems
Smart Management Systems are data-driven platforms powered by IoT and Big
Data, offering 24/7 connectivity, real-time insights, and automated or semi-
automated decision-making across global operations [5].
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17. 17
Benefits of Smart Management Systems
✓Automation and Networking: IoT-integrated systems automate and streamline operations.
✓Agility and Speed: Real-time data and rapid communication enhance responsiveness.
✓Customization and Innovation: Deep data insights lead to personalized services and rapid innovation.
✓ Efficient: Reduces waste and boosts productivity.
✓Reliable Forecasting: Real-time data improves forecasting and decision-making accuracy [5].
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18. 18
Benefits of Smart Management Systems…
✓Remote Operability: Operations can be managed globally with IoT and cloud platforms.
✓Sustainability: Supports eco-friendly practices and corporate social responsibility.
✓Worker Safety: Wearables and monitoring systems reduce workplace accidents.
✓Scalability: Easily adapts to any business size or model.
✓Transparency and Ethics: Promotes openness and trust among stakeholders [5].
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19. Examples

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20. Telecommunication Companies
in Greece
❑Telecommunication firms in Greece implemented IoT sensors to
gather operational data and used Big Data Analytics (BDA) to
improve service quality, customer insights, and decision-making.
➢Impact: IoT-enabled real-time data collection improved infrastructure monitoring, while Big Data Analytics (BDA)
delivered deeper insights into customer behavior, enabling predictive maintenance and personalized service delivery
[7].
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21. Fast Fashion Manufacturing
in China
❑Companies employed IoT devices for real-time monitoring of
production and environmental metrics and integrated BDA into
supply chain optimization.
➢Impact: Enabled green supply chain practices and circular economy models by tracking emissions, resource usage,
and waste in real time, improving sustainability and efficiency [2].
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22. 22
Business Strategies enablers by IoT and Big
Data
✓Operational Intelligence in Real-Time: Supports predictive maintenance and proactive choices
through constant data supervision.
✓ Self-Service Customer Personalization: Achieves user-centric services through behavioral analysis
alongside automation and AI technologies.
✓ Workflow Automation and Optimization: Increases operational efficiency, productivity, and
minimizes delays due to IoT-enabled automation.
✓Smart Logistics and Supply Chains: Augments efficiency, transparency, and monitoring with
analytics and industry real-time tracking.
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23. 23
Challenges
1)Information Security and Privacy: The comprehensive data captured by the IoT is
susceptible to threats with regards to data privacy and compliance breaches.
2)Business Operation Integration: Updating the current enterprise systems to accommodate
additional IoT devices require substantial monetary and skilled labor investments.
3)Data Management: Without substantial data analytic and infrastructural support,
efficiently utilizing massive data is unachievable.
4)Human Resource: The increasing complexity in the field of data science and analytics and
the management of IoT systems has resulted in shortage of skilled personnel.
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24. 24
Recommendations
❑Develop a clear digital vision: Strategize the digitalization process so that it complements
overarching business objectives and customers’ interests.
❑Invest in scalable infrastructure: Implement cloud services and edge computing for
optimal data processing and storage.
❑Enhance data governance: Develop comprehensive policies to protect data security,
privacy, and compliance.
❑Foster cross-functional collaboration: Promote integration of IT, operations, and business
for interdepartmental collaboration during execution.
❑Focus on talent development: Train and recruit professionals in IoT, data analytics, and
cybersecurity to improve the talent pool.
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25. Conclusion
The integration of IoT and Big Data is revolutionizing the way businesses operate, innovate, and
compete in the digital era. These technologies enable organizations to become more agile, intelligent,
and customer-focused by providing real-time insights, driving automation, and supporting data-driven
strategies.
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26. 26
References
1)Bi, Z., Jin, Y., Maropoulos, P., Zhang, W., & Wang, L. (2021). Internet of things (IoT) and big data analytics (BDA) for digital
manufacturing (DM).International Journal of Production Research,61(12), 4004–
4021.https://doi.org/10.1080/00207543.2021.1953181
2)Zhang, Q., Ullah, A., Ashraf, S., & Abdullah, M. (2024). Synergistic impact of Internet of Things and Big-Data-Driven supply
chain on sustainable firm performance.Sustainability,16(13), 5717.https://doi.org/10.3390/su16135717
3)Rane, N. (2023). Enhancing Customer Loyalty through Artificial Intelligence (AI), Internet of Things (IoT), and Big Data
Technologies: Improving Customer Satisfaction, Engagement, Relationship, and Experience.SSRN Electronic
Journal.https://doi.org/10.2139/ssrn.4616051
4)Vărzaru, A. A., & Bocean, C. G. (2024). Digital Transformation and Innovation: The Influence of Digital Technologies on Turnover
from Innovation Activities and Types of Innovation.Systems,12(9), 359.https://doi.org/10.3390/systems12090359
5)Moumtzidis, I., Kamariotou, M., & Kitsios, F. (2022). Digital Transformation Strategies enabled by Internet of Things and Big
Data Analytics: The Use-Case of Telecommunication Companies in Greece.Information,13(4),
196.https://doi.org/10.3390/info13040196
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27. Thank you
@2025 Rawan Alharbi. All Rights Reserved.