As we all know, the Internet of Things (IoT) may be the biggest opportunity for enterprises since the beginning of the Internet era. Gartner predicts that there will be nearly 20 billion devices on the Internet of Things by 2020, and IoT products and service providers will generate $300 billion in revenue. If you want to successfully use this opportunity to combine sensors, connectivity, cloud storage, data processing, analytics, and machine learning to transform business models and processes, then you need a plan and strategy that uses a high-level vocabulary description. It is strategy.
"The stone of other mountains can be used to attack jade." Learning and understanding Amazon's IoT path can bring a lot of inspiration. If a team succeeds on a complex project, it needs to understand the steps and deliverables of the implementation, the necessary resources and actual roles, and each inherent risk and dependency.
As far as Amazon is concerned, there are three key phases to building a successful IoT strategy. In fact, many of the steps are taken at the same time and can be handled in many different ways.
First, the formulation and clarity of the strategy
First, priority must be given to how to narrow down the choice. Although the Internet of Things offers a wide range of opportunities, success depends on understanding the market and requires careful assessment and consideration of so-called opportunities, cutting in from the right place.
Environmental Analysis
Everything starts with an environmental analysis. A thorough understanding of the industry and competitors' strengths, weaknesses, opportunities and threats (SWOT) is needed to help us see the big trends and real energy in the market. Technology has revolutionized almost every industry, from film production to healthcare to retail, etc. No business has been affected.
In our industry, how do people evaluate the Internet of Things? Really understand what is the worst user experience: Where are customers frustrated? What data or events can improve the customer experience? What are the sensors or IoT opportunities that provide this data?
Value chain analysis and profit pool analysis
This should be a broader industry perspective, not limited to your own narrow vision, don't have a narrow view of the current business, and don't let poverty limit the imagination. In some cases, this may involve doing business in a certain part of the value chain to understand the rest of the value chain and identify the corresponding business opportunities.
Partner, competitor and supplier analysis
Create a map, where other solution providers are in your own domain space, have a clear understanding of development, what everyone is doing, who their key customers are, and how they use the Internet of Things. Interviews help to understand the needs of customers, and then test whether the smart ways of these requirements have been met and whether there are gaps.
client needs
Document specific customer needs and identify the friction points that future customers are currently experiencing. Following the desired results from the start can help identify details and priorities that might otherwise be overestimated or ignored.
Creating a strong customer role is a tough job and may require a few more starts to get it done. In these respects, the biggest mistake you can make is to show rather than work, and don't worry about the beautiful camouflage of these deliverables, unless you've really done it. Be concerned about your insights, your conversations with your customers, and verifying findings with others who can bring insight and challenge to your work.
Evaluation framework and rating
No measurement, No management, some methods need to be designed to evaluate the results of the work.
This includes figuring out the feasibility and transition point of the project and how it will be linked to the company's other strategies. Sometimes, especially when the organization is new to the field of connected devices, the success of the project should be something that can be learned from the project, rather than the success in the traditional sense. Some early IoT solutions may be implemented purely to gain experience without the expected return on investment.
Strategic expression
Once all of these analyses have been resolved, you need to share what you have learned with the rest of the team. Explain these experiences by establishing flywheel models and business models for commercial systems.
Second, the construction of the Internet of Things roadmap
Once you have a clear idea of ​​the strategy and why you want to implement it, you need an IoT roadmap that can help plan and communicate, clarify what is already in the process of building, and how they work.
When creating a roadmap, Amazon's favorite strategy is to focus on ーー, and start small.
In other words, you need a grand vision, but in reality it's just a small bet to test your thoughts. This may include creating a prototype, a minimally viable product or a project developed with existing customers and partners.
There are four ways to clearly express the roadmap:
Future press release. Make a simple but special product statement that will force you to clarify your ideas.
Common problems in IoT planning. Predict some of the problems you may have with the product and create a common Q&A list to answer them.
User manual. Develop a preliminary user manual for IoT devices that should be targeted at end users. If the product contains an API, you should also create a user manual for the developer.
Project charter. This is a written project overview that outlines the key points of the project. This helps us understand the resources needed for the project, where the key milestones are, and the specific timeline.
Third, identify and draw IoT needs
The final step is to identify and map the needs of the Internet of Things to clarify the technical capabilities required to make the solution a success. There are many different types of methods that can be used to document requirements, such as use cases, user stories, processes, personas, architectural specifications, and more. Regardless of the method used, answer questions about insights (data and events), analysis and recommendations, performance, environment, operations, costs, and more.
With regard to insights, answering such questions may be important:
What problems or things are the end users solving?
What kind of insights are valuable to customers?
What kind of recommendation or optimization data usage is valuable to the customer?
What data do I need to collect?
For analysis and recommendations, the requirements issue may include the following:
Is "adjustment" or optimization required (specified within the time frame)?
How complicated is the "mathematical problem"? Write mathematical equations or pseudocode if you can.
Are notifications, logic, "mathematics" or algorithms consistent and fixed, or do they need to be configurable, updatable, and manageable?
Performance issues may include the following:
Estimated amount of data transferred over a period of time (one hour, one day)
What are the consequences of the data not being collected?
What are the consequences of collected but undelivered data?
Questions about environmental and operational needs may include the following:
What operating state will the device and sensor be in? Temperature, humidity, pressure, entry and vibration, etc.
What physical security of the device is at risk?
Will IoT devices or sensors be embedded in another device, or are they separate or controlled physical devices?
Cost issues may include the following:
What is the target cost range for each device?
What is the cost of connecting devices?
What are the additional operating costs of the business that can support the running infrastructure?
While the plan is in place, although the Internet of Things can provide key puzzles, it is not a voucher. Simply creating an IoT solution is generally not successful. However, if you focus on delivering greater value to customers through newer or innovative products and services, improving company operations or creating new or more efficient business models, they are more likely to succeed.
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