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Flevy Management Insights Q&A
How are companies leveraging the Internet of Things (IoT) in their Build vs. Buy decisions to improve operational efficiency?


This article provides a detailed response to: How are companies leveraging the Internet of Things (IoT) in their Build vs. Buy decisions to improve operational efficiency? For a comprehensive understanding of Build vs. Buy, we also include relevant case studies for further reading and links to Build vs. Buy best practice resources.

TLDR Organizations are leveraging IoT in Build vs. Buy decisions by aligning these choices with Strategic Planning, assessing internal capabilities and Risk Management, to significantly improve Operational Efficiency and customer satisfaction.

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In the era of digital transformation, organizations are increasingly turning to the Internet of Things (IoT) to enhance operational efficiency. This technological advancement offers a plethora of opportunities for improving processes, reducing costs, and optimizing performance. However, when it comes to integrating IoT solutions into their operations, organizations face a critical decision: to build their own IoT solutions or to buy them from external providers. This decision is pivotal in determining the success of their IoT strategy and, ultimately, their competitive advantage in the market.

Strategic Considerations in Build vs. Buy Decisions

When assessing whether to build or buy IoT solutions, organizations must consider several strategic factors. First, the decision should align with the overall Strategic Planning of the organization. For organizations with a strong focus on Innovation and Technology Leadership, building custom IoT solutions may offer a competitive edge by enabling unique functionalities tailored to specific operational needs. On the other hand, buying off-the-shelf solutions can be a more cost-effective and time-efficient approach for organizations prioritizing quick deployment and Operational Excellence.

Second, the decision should take into account the organization's internal capabilities and resources. Developing IoT solutions in-house requires a significant investment in Research and Development, skilled personnel, and technology infrastructure. Organizations must evaluate whether they possess the requisite expertise and resources to undertake such projects. Conversely, buying solutions allows organizations to leverage the expertise and investments of specialized IoT providers, potentially accelerating the path to value realization.

Lastly, Risk Management considerations are paramount. Building custom solutions may introduce risks related to project delays, cost overruns, and technical challenges. Buying solutions, while potentially reducing these risks, introduces dependency on external vendors and concerns about integration with existing systems and data security. Organizations must carefully assess these risks in the context of their specific operational environment and strategic objectives.

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Operational Efficiency Gains through IoT

Regardless of the approach chosen, the integration of IoT technologies has the potential to significantly improve operational efficiency. For instance, IoT-enabled predictive maintenance can drastically reduce downtime by forecasting equipment failures before they occur. This not only saves on repair costs but also enhances productivity and extends the lifespan of assets. Similarly, IoT applications in supply chain management can provide real-time visibility into logistics, inventory levels, and supplier performance, enabling more efficient resource allocation and reducing waste.

Moreover, IoT can play a crucial role in enhancing customer satisfaction and loyalty. By collecting and analyzing data from IoT devices, organizations can gain insights into customer behavior and preferences, allowing for more personalized and responsive services. This data-driven approach can lead to improved product quality, faster response times, and more effective customer engagement strategies.

It is important for organizations to quantify the potential benefits of IoT initiatives as part of their decision-making process. According to a report by McKinsey & Company, IoT has the potential to generate up to $11.1 trillion a year in economic value by 2025 across various industries. This underscores the significant impact that IoT can have on operational efficiency and overall business performance.

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Real-World Examples

Several leading organizations have successfully leveraged IoT to enhance their operations. For example, General Electric has developed its own Predix platform, a comprehensive IoT solution that enables industrial-scale analytics for asset performance management and operational optimization. By choosing to build its own platform, GE has been able to tailor the solution to its specific needs, gaining a competitive advantage in the industrial IoT space.

On the other hand, FedEx has opted to buy IoT solutions to improve its logistics and supply chain operations. By integrating off-the-shelf IoT devices and platforms, FedEx has achieved real-time tracking of shipments, optimized route planning, and enhanced security. This approach has allowed FedEx to quickly realize the benefits of IoT without the need for extensive internal development.

In conclusion, the decision to build or buy IoT solutions is a complex one that requires careful consideration of strategic, operational, and risk factors. By aligning this decision with their strategic objectives and operational needs, organizations can effectively leverage IoT technologies to drive significant improvements in operational efficiency, customer satisfaction, and competitive positioning.

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Best Practices in Build vs. Buy

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Explore all of our best practices in: Build vs. Buy

Build vs. Buy Case Studies

For a practical understanding of Build vs. Buy, take a look at these case studies.

Defense Procurement Strategy for Aerospace Components

Scenario: The organization is a major player in the aerospace defense sector, grappling with the decision to make or buy critical components.

Read Full Case Study

Make or Buy Decision Analysis for Professional Services Firm

Scenario: A professional services firm is grappling with increasing operational expenses and competitive pressures in the market.

Read Full Case Study

Maritime Fleet Procurement Strategy for Shipping Corporation

Scenario: A global shipping company with a diverse fleet is facing challenges in deciding whether to make critical ship components in-house or to buy from external suppliers.

Read Full Case Study

Customer Loyalty Program Development in the Cosmetics Industry

Scenario: The organization is a multinational cosmetics enterprise seeking to enhance its competitive edge by establishing a customer loyalty program.

Read Full Case Study

Telecom Infrastructure Outsourcing Strategy

Scenario: The organization is a regional telecom operator facing increased pressure to modernize its infrastructure while managing costs.

Read Full Case Study

Telecom Infrastructure Modernization Initiative

Scenario: The organization in question operates within the telecom industry, facing the strategic decision of modernizing its telecommunications infrastructure.

Read Full Case Study


Explore all Flevy Management Case Studies

Related Questions

Here are our additional questions you may be interested in.

How can manufacturers use Make vs. Buy decisions to better align with consumer demands for ethical and sustainable products?
Manufacturers can align with consumer demands for ethical and sustainable products through informed Make vs. Buy decisions, focusing on Strategic Sourcing, Supplier Partnerships, and investing in Sustainable Manufacturing Technologies. [Read full explanation]
What is the impact of generative AI on the Build vs. Buy decision-making process for content creation?
Generative AI shifts the Build vs. Buy decision in content creation towards in-house production, offering cost-effective, customized content aligned with strategic goals, but requires significant investment in technology, talent, and robust Risk Management practices. [Read full explanation]
How is the shift towards more sustainable and ethical supply chains affecting Make vs. Buy decisions in the fashion industry?
The shift towards sustainable and ethical supply chains is transforming Make vs. Buy decisions in the fashion industry, necessitating a holistic approach that integrates sustainability and ethics into Strategic Planning, Operational Excellence, Risk Management, Performance Management, and Strategy Development. [Read full explanation]
What role do customer expectations play in shaping the Build vs. Buy strategy in today's market?
Customer expectations significantly influence the Build vs. Buy strategy, guiding organizations in Strategic Planning and Innovation to meet market demands and technological advancements. [Read full explanation]
What impact does the increasing importance of data privacy regulations have on the Build vs. Buy debate?
The increasing importance of data privacy regulations significantly influences the Build vs. Buy debate, necessitating careful consideration of Strategic Planning, Risk Management, Operational Excellence, and Innovation to ensure compliance and maintain Competitive Advantage. [Read full explanation]
In what ways can Build vs. Buy decisions influence a company's ability to attract and retain top talent?
Build vs. Buy decisions impact an organization's ability to attract and retain top talent by shaping its Innovation Culture, Skill Development opportunities, and Organizational Culture. [Read full explanation]
How do Make vs. Buy decisions affect the innovation cycle in the manufacturing sector?
Make vs. Buy decisions in the manufacturing sector significantly impact innovation, affecting Core Competencies, speed, flexibility, and investment, with strategic management of these decisions being crucial for fostering innovation and maintaining market leadership. [Read full explanation]
How do evolving consumer privacy concerns influence the Make vs. Buy decision in data management and analytics?
Evolving consumer privacy concerns significantly impact the Make vs. Buy decision in data management and analytics, influenced by Regulatory Compliance, Technological Advancements, Strategic Alignment, Cost Implications, and Operational Efficiency. [Read full explanation]

Source: Executive Q&A: Build vs. Buy Questions, Flevy Management Insights, 2024


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