Welcome
How Mature Is Your IoT Implementation?
To drive business forward, many organizations have been investing in IoT solutions over the past decade. These smart connected devices, and the data that they produce, allow businesses to differentiate their products, improve customer experiences, enhance operations, and develop new business models.
How is your organization navigating this transition? Take our short self-assessment to find out.
The assessment will yield customized results and recommendations based on your responses and should take no more than 2 minutes to complete.
Questions
Which of the following statements best describes the status of your organization's IoT projects?
Questions
Which of the following best describes your organization's approach to IoT initiatives in the following areas today?
Questions
Which of the following best describes your organization's approach to IoT initiatives in the following areas today?
Questions
Which of the following best describes your organization's approach to IoT initiatives in the following areas today?
Questions
Which of the following best describes your organization's approach to IoT initiatives in the following areas today?
Questions
Thinking about your organization's IoT initiatives, which of the following use cases have you implemented?
Questions
How long have you been investing in these IoT initiatives?
Questions
What is your timeline for implementing the following types of digital twin initiatives to enable your firm's innovation processes?
Questions
How would you rate your organization's IoT maturity compared to your industry peers/competitors? (Select one.)
Questions
What are your top challenges with implementing IoT solutions? (Select top 3.)
Results Overview
Results Overview
- IoT project status: How deeply ingrained are IoT projects within your organization?
- Breadth of IoT investment: How many discrete use cases are you implementing IoT solutions for?
- Data, product, integration, and analysis: How well are you maximizing your IoT investments across data contextualization, product development, data integration, and data analysis methods?
- IoT investment length: How many years have you been investing in IoT initiatives?
- Digital twins: How are you enabling digital twins, if at all?
Beginner | 5-22 points |
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Intermediate | 23-41 points |
Advanced | 42-67 points |
Beginner
Your score means your IoT maturity is only at the beginning stage.
- Your organization’s IoT investments are in the early stages and are primarily focused on evaluating disparate IoT use case pilots or conducting proof of concepts (PoCs) for IoT-enabled connected products or processes. Examples of initial IoT-enabled operational processes may include: building and facilities management, inventory or warehouse management, or supply chain management.
- Data is siloed and is only available to select stakeholders, without opportunities for cross-functional sharing across organizational stakeholders.
- Data is not strategically used to predict product performance or to inform future product development activities.
Recommendations
- Establish a cross-functional working group responsible for establishing priorities and timelines for moving beyond focused pilots and PoCs into IoT use case rollouts.
- Test and learn from IoT use case pilot programs and PoC initiatives and explore technology investments and third-party partnerships to support and enable IoT use case rollout.
- Assess necessary investments and process modifications required to support IoT use case deployment at scale.
- Evaluate required APIs and investments to extend your data analytics and management capabilities beyond capturing specific silos of data, to integrate data insights across IoT-enabled operational processes.
- Identify opportunities to demonstrate the value of siloed IoT use case pilots and PoCs by sharing data captured from IoT initiatives across a range of operational stakeholders in the organization.
Beginner | 5-22 points |
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Intermediate | 23-41 points |
Advanced | 42-67 points |
Intermediate
Your score means your IoT maturity has evolved to the intermediate stage.
- Many firms at this stage are seeing notable momentum for IoT use case deployment, including deploying a range of IoT use cases to transform various operational processes including monitoring production processes or addressing industry-specific processes (e.g., remote diagnostics and patient monitoring in healthcare).
- Discrete manufacturing firms at this stage of evolution often deploy digital twin functionality to enable predictive maintenance of connected products.
- Enterprises in this stage have not maximized opportunities to transform IoT-enabled operational processes on a comprehensive level.
Recommendations
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Coordinate with senior strategy executives, IT personnel, operational stakeholders (e.g., plant operations, field service personnel), and product managers to identify current IoT use case deployments across the organization.
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Establish a defined methodology to evaluate IoT investments and assess new IoT use case opportunities across your organization’s operational processes and product development initiatives.
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Collaborate with IT, OT, and other IoT stakeholders to develop and prioritize a road map of current and future IoT-related initiatives spanning the organization.
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Evaluate requirements for new data analytic tools, skill sets, and management systems to integrate captured IoT data with internal data sources including ERP and CRM systems.
Beginner | 5-22 points |
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Intermediate | 23-41 points |
Advanced | 42-67 points |
Advanced
Congratulations, your score means that your IoT strategy is advanced!
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IoT initiatives are pervasive across your organization. You use IoT-enabled solutions at a comprehensive level across your organization to differentiate products, enhance operations, and transform customer experience. Your firm may also extend your business models and personalize customer interactions using insight from IoT-enabled products and processes.
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Digital twin functionality is used at a comprehensive level throughout your firm’s IoT deployment initiatives, beyond predictive maintenance, to include enabling production processes and end-to-end performance management.
Recommendations
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Identify a senior-level executive (e.g. CIO, chief innovation officer, chief strategy officer) with the responsibility of working across the organization, and work with them to establish a long-term vision, strategy, and prioritization of IoT initiatives. This includes aligning technology solutions such as IoT platforms, applications, analytics, and personnel resources to ensure seamless deployment of IoT-enabled processes throughout the organization.
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Proactively evaluate opportunities to deploy IoT use cases beyond connected products and operational processes to include personalizing relationships with your customers, partners, and suppliers.
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Assess opportunities to deploy new business models and generate new revenue streams from IoT-enabled products and services.
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Assess gaps in analytic technologies (e.g., AI, machine learning, predictive analytics, etc.), developer expertise, and employee skill sets.
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Invest in necessary tools and partnerships to ensure employees have the skills and tools to implement IoT use cases and to transform IoT data into actionable insight for customers, operational process stakeholders, and product development professionals.
View your detailed results
Next steps
Ready to get started?
To learn more about the IoT and how to continue your journey, visit: www.siemens.com/mindsphere
Check out the Siemens MindSphere webinar series on how to “Make Industry 4.0 a reality | The 4 pillars of using the IoT for operational impact.” This series explains the four stages, or pillars, of IoT implementation that will not only simplify the digitalization process, but provide a clear path to achieving incremental value as you scale:
- Pillar 1: Connectivity - connecting and monitoring assets
- Pillar 2: Control - optimizing maintenance predictability
- Pillar 3: Digitalization - operating the closed-loop digital twin
- Pillar 4: Augmentation - extending outcomes
Methodology, Disclaimers and Disclosures
Methodology, Disclaimers and Disclosures
Methodology
Methodology
This assessment is based off a study Siemens commissioned Forrester to conduct. In the study, Forrester interviewed six stakeholders with responsibility over IoT processes and/or product development at their organizations and surveyed 418 enterprise decision makers across 12 countries with responsibility over IoT processes and/or product development in their organizations to explore IoT use cases. Respondents were offered a small incentive as a thank you for time spent on the survey. The study began in January 2019 and was completed in February 2019.
Disclaimers
Although great care has been taken to ensure the accuracy and completeness of this assessment, Siemens and Forrester are unable to accept any legal responsibility for any actions taken on the basis of the information contained herein.
Disclosures
This interactive tool is commissioned by Siemens and delivered by Forrester Consulting.