Information as a Service: Unlocking New Revenue Streams in IoT Product Design

Why It Matters

This paradigm shift requires designers and engineers to consider the entire product lifecycle, not just initial production. It opens opportunities for continuous customer engagement and value creation by leveraging the data generated by connected products.

Key Finding

The study highlights that connected products in the IoT generate valuable data that can be transformed into new services and revenue streams, moving beyond traditional product sales, though challenges remain in realizing this potential.

Key Findings

• Information and knowledge are emerging as critical assets in the IoT era, akin to 'new oil'.
• IoT enables new revenue models such as subscriptions, app-based services, and advanced analytics.
• Extracting value from information assets is challenging due to their intangible nature compared to physical products.
• Real-world use cases demonstrate successful implementation of information-as-an-asset strategies in IoT.

Research Evidence

Aim: How can product-centric businesses leverage the 'laws of information' within the IoT ecosystem to create new value and revenue streams beyond initial product sales?

Method: Conceptual analysis and case study review

Procedure: The paper analyzes fundamental principles governing information ('laws of information') and explores how IoT technologies can be used to exploit these principles for business value. It also examines real-world business use cases identified by the Open Platform 3.0™ Forum.

Context: Internet of Things (IoT) product development and business strategy

Design Principle

Design products with integrated data strategies to enable ongoing service-based revenue and user engagement.

How to Apply

When designing IoT products, consider what data can be collected, how it can be analyzed, and what new services or insights can be offered to users to generate recurring revenue.

Limitations

The paper focuses on conceptual frameworks and existing use cases, with less emphasis on the technical implementation details or the specific challenges of data security and privacy.

Student Guide (IB Design Technology)

Simple Explanation: Think about how your connected product can keep making money and helping users even after they've bought it, by using the information it collects.

Why This Matters: This research shows how to create more sustainable and profitable design projects by thinking about long-term value and revenue, not just the initial sale.

Critical Thinking: While information is the 'new oil,' what are the ethical considerations and potential pitfalls of treating user data as a primary revenue source in product design?

IA-Ready Paragraph: The Internet of Things presents a significant opportunity to redefine product value, shifting from a one-time sale model to one where information itself becomes a core asset. As explored by Kubler et al. (2015), leveraging 'information-as-an-asset' through IoT enables the creation of new revenue streams via data-driven services, subscriptions, and analytics. This paradigm necessitates a design approach that prioritizes continuous user engagement and value delivery beyond the initial product purchase, opening avenues for sustained market presence and profitability.

Project Tips

• Consider how your design can collect useful data.
• Think about what services or updates could be offered based on that data.
• Explore how these services could generate ongoing income.

How to Use in IA

• Use this research to justify designing for service-based revenue models in your product development.
• Reference the shift from product sales to information-as-an-asset as a key driver for your design choices.

Examiner Tips

• Demonstrate an understanding of how data can be a core product feature and revenue source, not just a technical add-on.
• Show how your design process accounts for the product's entire lifecycle and potential for ongoing value creation.

Independent Variable: IoT capabilities, 'laws of information'

Dependent Variable: New revenue streams, value creation, service-based offerings

Controlled Variables: Traditional product sales models

Strengths

• Provides a forward-looking perspective on business models enabled by IoT.
• Identifies key conceptual frameworks ('laws of information') for understanding data value.

Critical Questions

• What are the specific 'laws of information' and how do they translate into actionable design strategies?
• Beyond revenue, what other forms of value can be unlocked through information assets in IoT products?

Extended Essay Application

• Investigate the feasibility of implementing a specific data-driven service for an existing IoT product, analyzing its potential market and revenue.
• Explore the ethical implications of monetizing user data within a product's lifecycle.

Source

Opportunity to Leverage Information-as-an-Asset in the IoT -- The Road Ahead · 2015 · 10.1109/ficloud.2015.63