68% of IoT data has been “discarded”, how could we discover the valuable information?
According to IDC, only 32% of the available corporate data is used and the remaining 68% is thrown away as “waste”. The data of the Internet of Things, which has been put on the “altar”, is suffering from the shackles of the development of petroleum in the mid-19th century — the serious lack of value recognition and exploration.
The Internet of Things binds people to think about the second half of the Internet, and also carries the idea of the Internet of Everything. As a saying goes, “Data is the crude oil of the Internet of Things era”, which is widely spread among industries and is regarded as a pearl of wisdom for development by relevant industries. However, from the current use of the Internet of Things data, but cannot help but shame.
When we say “Data is the crude oil of the Internet of Things era”, the point is not to capture and collect as much data as we can. However, the data storage, analysis, processing and finally sorting out the value of the whole chain of the industry seems more important to us.
In the era of great oil development, the Standard Oil Company of the United States solved a series of problems such as low gasoline yield and storage. So how it can be empowered for data’s development of IoT?
IT4.0 leading in a dramatic change in the data world
IoT era will be the new data era. According to IDC’s “Data Era 2025” report predicted, with the spread of new technology and the blowout of IoT terminal, the amount of data created by the global IoT will grow exponentially in the next few years and is expected to reach 175Zb in 2025.
Compare with the limited energy of crude oil, the unlimited data will bring wider and richer imagination. But some new challenges will come as well.
Firstly, the huge amount of data raises the requirement of companies. They need to analyze and collect important data for themselves. Rather than the quantity of data, the urgency is growing of data’s quality.
Secondly, the data will shift from life-improving to life-critical. Management of future data like utilities will become equally important. Meanwhile, there will be a big challenge for data storage, as 20% structured data and 80% non-structured-data need to be considered in IoT.
Thirdly, the future IoT applications rapidly growing will cover family, office, factory, railway, airport, and all kinds of places. There will be a huge amount and various IoT sensors, so companies need to think about how to collect valuable data correctly and efficiently.
Fourthly, the future data will not be the “isolated island”, real-time data and mobile data will improve at the same time. Edge computing, artificial intelligence, and other new technologies will help data analysis to be more intelligent and flexible.
Fifthly, the requirement of data security raises as well. Security is fundamental to the development of the data industry, and more data means more vulnerabilities. To build a secure network tunnel for data transfer, some network devices like a high performance router or gateway is needed. As the size of the global data circle continues to expand, the gap between protected and unprotected data will also expand.
In the face of these challenges, enterprises also need to take cost and value as the core premise and carry out the plans of data-related aspects.
