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Question in: Business Cases in IoT

What are the key points to look out for when evaluating IoT business cases—especially outside of ones industry expertise?

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As an example, Mr. John may be well versed in IoT business use-cases when it comes to smart-transportation. However, his manager assigns him to evaluate technology for a new distruptive business use-case, e.g. in the healthcare industry.

Qazi Mamoon
more than 1 month ago

7 answers

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o The effect regulation plays into the different IoT business cases. For example in healthcare HIPAA Compliance needs to be accounted when designing new operational models (business processing, data processing,), and ownership of the data being processed needs to be identified. Also, as technology based applications increase and penetrate health care, ongoing security & privacy vulnerabilities factors should not be forgiven. We should not just assume that after demonstrating the IoT applications works well or even excellent, deployment and implementation will just follow; regulatory factors have slowed down adoption of solutions even when some will benefit healthcare.

o The data flow processes used ( and sometimes established in certain industries like in finance, healthcare) may be different than those used in the industry of our expertise.

o The infrastructure to support the technology we have been using in our industry may not be there and/or it may not be adequate.

o The methods or tools used to enable the capabilities may not align or bridge well with those used in our known area of expertise.

Norma H. Antuñano
more than 1 month ago
Regualtion plays an important role, and this was one of the answers I was looking for as well. - Qazi more than 1 month ago
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I think we need to look at each IoT business case individually - even within the same industry. Begin by establishing the data strategy for the project since different projects have different objectives, collect different data, and has different stakeholders that will want access to the data and the insights therein.

Five steps:

  • Identify the data you want to collect and understand the meaning, the structure, the origin, and the location.
  • Determine how the data will be packaged and made available to stakeholders while respecting rules and access guidelines.
  • Determine how you will store data, structure and location, that supports access and procesing across the enterprise.
  • Identify how you will move and integrate data residing in multiple locations and provide a unified view of the data.
  • Establish, communicate, and enforce information policies and mechanisms to ensure effective use.
C. Thomas (Tom) Smith, III
more than 1 month ago
A data strategy is a good starting point. However, we could lose track of the business element if the deep-dive into understanding the data. Working with data can be overwhelming sometimes. - Qazi more than 1 month ago
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Key thing to address is "what are you looking to gain from IOT?" - the answer should usually be reducing cost or increasing revenue. Implementing IOT because it is technically feasable is an interesting project, but unsure what value will come from it. This question is best addressed by someone familiar with healthcare industry and/or the product manager. However, if this person is an IOT novice, they may be thinking with blinders on and not fully understand what they might do. If this is the case, a healthcare industry expert should consult with an IOT expert to get familiar with what others in their and related markets are doing. Once the IOT use case is determined, it can be implemented by an IOT expert not neccessarily familiar with healthcare market.

For example, "Our service techs are being called at odd hours which is costing us money by having to staff up large service organization for peaks and valleys of service". If we know machine usage or sense when the machine is on the verge of a failure through predictive maintenance data collected, we can reduce service staff and do preventative maintenance at our convenience verus repairs at unplanned outages. Or the revenue producing product-as-a service use case of "smaller clinics can not afford our expensive machine; let's offer 'product-as-services and not machines', so can we charge our clients for every use, and maintain on our schedule, perhaps with refurbished equipment. We can now address a previously untapped market and increase revenues."

Once the IOT use case and goal is determined, then you can attack it from a technical point of view - what is the environment it is used, what data are you trying to capture/analyze, how will you transmit/store/analyse the data, budget/schedule constraints.

John Murray
more than 1 month ago
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Here's my experience-based advice:

  1. Understand the forces at work in the healthcare industry;
  2. Understand the needs and buying behaviour of the potential customers;
  3. Why have some already engaged with IoT healthcare devices - Why have most of them not yet implemented IoT healthcare devices?;
  4. Apply the understanding of your core value proposition to the IoT healthcare industry.
Morten Bremild
more than 1 month ago
I agree. This is a good check-list to refine further. - Qazi more than 1 month ago
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As with any product - from the beginning of time - there has to be a REAL problem solved for an IoT product to become mainstream. Just because you build it does not mean they will come!

I want to see a case study that leads with stating and understanding the intended audience's problem or pain and needs and wants. Then, I want to see the IoT application solution and how it addresses the problem or pain.

A case study is not a technical paper or white paper. It should state the problem and describe the positive results form use of the IoT solution. ~Mo

Mo (Maureen) March Kanwischer - Business Growth Expert
more than 1 month ago
Well said Mo. IoT will evolve at the pace of and be justified by need-driven solutions. Qazi- focus on evidence-based problem validation and solution fit testing with real customers in the early stages. This assumes the use case is paving new ground. Business case ROI works well for close in product line enhancements with relativly fewer, less significant market/technology unknowns. - Noel more than 1 month ago
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I really like your 3rd point, Qazi...
"Why have some already engaged with IoT healthcare devices - Why have most of them not yet implemented IoT healthcare devices?"

In my observations and experience, I think almost everyone in the ecosystem is attracted to the convenience and rich-information possibilities by adopting many IoT healthcare devices, but all of them hit the very difficutl hurdles of:

1) Privacy and Security Risk: Most healthcare industry participants have not had to deal with the vast and complex security issues in IoT and connected devices. With greater emphasis in most countries for patient privacy and liability, it's no wonder the legal, insurance, and compliance portions of the industry take a slow-moving course of action.
2) Regulatory Time Horizon and Device Product Life versus Technology Development Cycles: The average implantable device requires a time horizon for approval which is equal to or greater than the the technologies life. One project I'm working on decided the latest generation of Bluetooth provided a significant improvement in power consumption which would allow an implantable to last a few more years inside a person (think defib, pacemaker, etc.). Too bad, that technology is already outdated and being phased out. With the product on the eve of FDA approval, the company is forced to do a special legacy production contract with the semiconductor manufacturer to supply the outdated chips for several years and pay a higher price per chip than the next generation (which is actually far better in security and slightly better still in power consumption).

I think IoT has great potential in healthcare hardware, but the gigantic implantables market may be the laggard due to these two major factors.

Albert Lin
more than 1 month ago
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IoT will evolve at the pace of and be justified by need-driven solutions. Try to focus on evidence-based problem validation and solution fit testing with real customers in the early stages. Regulatory challenges, as discussed on this thread, may very well be one of those "showstopper" assumptions that should be tested and de-risked early. All of this assumes the use case is paving new ground. Business case ROI works well for close in product line enhancements with relativly few, less significant market/technology unknowns.

Noel Sobelman
more than 1 month ago

Have some input?