5G is about to be bigger, better, and the fastest technology advancement in history for both the consumer and the business world. It’s purpose is to increase speed, allow for more connectivity, and intensify data processing. Like all situations, cons will always follow the pros. Unfortunately, there are more cons to be made aware of than there is to be pros.
Businesses need to determine the marginal value of all the additional data that Wi-Fi 6 and 5G will be collecting. Coupled, these advancements will collect more data than ever before with how rapid the information is being processed with mobile devices. Will the collection of additional customer data improve decision making for businesses? Or will the excessive amount of data collection take up time, space, and create noise?
Noise is going to play a key factor in the accelerated and extensive data collection from mobile devices. Noise is essentially meaningless data, sometimes called corrupt data. However, it can also mean any data that cannot be understood and interpreted correctly by machines. It will be inevitable that the noise in data streams will increase immensely with the new 5G technologies. Businesses will need to develop and learn how to deploy their new strategies in order to separate noise and substance for the data collecting files without being falsified or clouded.
Due to the intense amount of data that will be collected from mobile devices, businesses need to rethink their current strategies of weeding out the quality data and how to assess them correctly. These strategies will vary and be specific to the network that the business is using. It is common to have network interruptions, which in turn may cause data loss due to the disruptions. Being prepared to face these challenges will require new strategies that will be specific to the applications being used in the business. Any lost data or corrupted data will most likely cause uncertainty and reduces confidence in any and all data analysis results.
The most common concern of all new technologies is data storage and the costs of data analysis with the new technology. It is crucial that businesses weigh out the factors if the amount of data is being helpful or harmful to their business. The techniques analyze signals to uncover unexpected or abnormal information. These complex systems cannot be monitored in isolation but has to be analyzed within other context of the system.
Now to touch on the top growing concern for technology for both the consumer and businesses – privacy. Businesses need to research and research and research again to truly understand the amount of data that will be process and how they can protect their business when it comes to their data processing analysis and storing customer’s personal data. 1.4 BILLION known records were breached in 2018 solely in the United States according to Privacy Rights Clearinghouse. There will be new legal frameworks to be established that will regulate personal data and how that inferences individual’s attributes, which includes health status and race.
Keep in mind, that not all data is created equal. Consumer’s need to take into consideration what they are signing up for: faster results and allowing their privacy settings to be altered. Businesses need to understand the high risks of storing and processing data, but that it can improve decision-making. Understand that more data is more noise, create tactics to weed out anomaly detection, redevelop their cost-benefit evaluation for storage purposes, and never underestimate the impact of privacy protections. The future of 5G, Wi-Fi 6, and data analysis is coming so plan ahead to take on this new opportunity.
By: Kendahl Schlueter