In the era of the Industrial Internet of Things (IIoT), many people shouted “connecting all the tools or machines to create value and even profit from it†or “require more data to solve business problems†Is thinking from the point of view of connecting all products and collecting large amounts of data, is it a good idea?
Dimitrios Spiliopoulos, Internet of Things consultant at BT O2, listed seven points for people working in the IoT industry, which are different from previous insights.
First, solve the problem fundamentally, don't find the answer for the answer: More and more companies are starting to develop the Internet of Things, but they have not carefully thought through data analysis, business models or potential challenges, often driving them blindly toward the Internet of Things. The reason is just "cool", the reason is simple: because everyone is doing it. If you don't understand what you want to solve with the Internet of Things, doing more is just a waste of time and money.
Second, pay attention to priorities and priorities: The Internet of Things can help companies achieve their goals, but usually the most cost-effective, simplest or most innovative ideas are not necessarily the best implementation plans, because they involve many layers such as technology trends. Whether the regulations are supported or not, or whether there are commercial needs. First develop an evaluation criteria to prioritize the plan and think about which issues need to be addressed first.
Third, think big, start small: Many companies will make a big plan, but the technology trend changes quickly and competitively. If the plan is too big, there is no way to get feedback from the market, and there is no way to adjust the content in real time to respond to each. Conflicts and challenges. Starting from a small age, we can not only quickly respond to the current situation of the industry, but also closely integrate with internal stakeholders to keep them interested.
Fourth, break the separation and isolation of data in various departments: When implementing the plan, it is necessary to ensure that the relevant departments have sufficient input and long-term professional technology and support, otherwise they will see that a certain department is very tired and struggling. As a result of the pleasing, we must also undertake professional business that is not in our own department.
Fifth, use storytelling to present data: When you want to brief the client, it is not enough to report the searched data. The data needs to be analyzed, with reasonable context and attractive layout. It is a simple and effective way to describe the data as a story. By understanding people's habits of reading and thinking, the information can be successfully and clearly communicated to the client.
6. Training and Strengthening Employees' Continuing Airworthiness and Competitiveness: Companies in the Internet of Things industry need to continuously strengthen their capabilities in data, business, and technology to keep employees up to date; otherwise, the company will not only be unable to recruit the industry. Employees will also lose their original talents.
Seven, consistent implementation: Spiliopouloså®å’›, the above six principles need to be implemented for a long time, if halfway, and will eventually fall short.
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