However, a workplace cannot be truly digital-first without the support of the right technology – especially technology related to the data and insights that the Internet of Things can provide. “By 2020, there will be nearly 21 billion IoT-connected devices worldwide,” Wilson explained. “The Internet of Things is transforming ‘traditional’ environments, paving the way for the modern digital workplace.
With this shift, government agencies must
Begin to break down some of the barriers between people, technology, and the workplace while maintaining necessary process execution and governance. It’s not easy to aggregate, manage, deliver, and analyze hardware, software, and services from multiple cloud and on-premises vendors of your employees’ choice.
Each product may have its own interface
which can be confusing and frustrating to use. In addition, unless NGOs have the right analytical tools when collecting A comprehensive defense approach botim database and security infrastructure to identify and mitigate these threats.” data generated by the Internet of Things, they will not be able to maximize the potential value of this data. Most importantly, it is critical to ensure that this data is secure. “As the workplace becomes more digital-centric, the number of ways devices can be attacked is increasing,” Wilson said.
Governments need to take steps to establish
Government agencies also need to deploy the right cloud-based big data analytics platform. The right solution will help government agencies collect and analyze machine, business, and operational data from virtually any source in real time and automatically learn behaviors from machine data, service desks, business activities, and social indicators.
The more devices connected in
This modern digital workplace, the more data subpages these campaigns have a real impact there is to analyze,” Wilson said. “That’s one of the biggest issues we face today, too much data and not eno tg data ugh people. As we make this transition, agencies must start looking for new ways to visualize and use data. They must be more effective at securing data and analyzing data trends.