The steady increase in the number of IoT (Internet of Things) devices will create a massive network of connectivity not just among people or businesses but communities and nations, which can leave a marked influence in the core functions in automation and digital transformation.
IoT applications in business and the number of connected devices will go up substantially in the days ahead. According to the predictions of Gartner, the connected things around the world will reach 20.4 billion by 2020 from 8.4 billion connections in 2017.
The exponential rise in the adoption of IoT will bring down sensor and acquisition costs, which will enable viable solutions to businesses that have previously been too expensive. IoT devices that are equipped with sensors can transmit incredible amounts of data, which will enhance the data management potential and analytics processes of businesses all over the world. Businesses will have to get ready to make adjustments in their networks to make it compatible with the massive amounts of IoT data generated throughout the processes right from the basic data practices of data entry.
How is Data Entry related to IoT
IoT technology will enable the organizations to monitor data in real-time through smartphones or tablets or at points of data generation like medical equipments. It will ensure not just a tremendous increase in the data quality but data storage as well, which in turn will help the managers to make well-informed decisions at the shortest possible time. Collecting data from 20 billion connected devices may appear like a massive challenge at present but with the advent of IoT devices, the process, storage, and analysis of information will be easier than ever before.
Achieving Quality Data
IoT will ensure the best data quality from the start as it can gather, clean and structure data all the while addressing challenges that could appear while sharing the data across various formats especially errors that could crop in during manual data entry.
Here are some of the benefits of meaningful IoT data:
• To help in decision making and problem-solving.
• Cut down operational overheads and increase productivity.
• Enhance customer experience.
• Innovate product development, research, and marketing.
Data Entry Enhanced by IoT
To exploit the potential of IoT data, businesses need to integrate the IoT technologies and processes with existing data entry practices and enable it to be shared among all the departments.
Enhances Machine to machine productivity: IoT can increase machine-to- machine productivity and ensure point-to-point communication between devices through wired networks. Adding M2M capabilities to traditional data entry will go a long way in reducing mistakes and enhancing the effectiveness of IoT based data entry practices.
Agile Stack: IoT data can reside across multiple systems that could be related or non-related. So, companies may need an effective data enrichment system, flexible storage, and governance. An agile stack, which starts with data e