The telecoms environment within large businesses is becoming increasingly complex as new technology, services, and devices are constantly emerging. The increasing usage of remote and M2M sensors, creating an ever widening Internet of Things (IoT), only compounds this issue.
As companies connect even more devices and networks, ever increasing amounts of data are collected from these different components. More devices are connected to central systems, feeding in a constant stream of data.
Within telecoms there are two distinct forms of data. The primary data layer is all the data on the devices in the telecoms ecosystem, this may include emails, instant messages, company files, applications, information on various internal processes, and more.
The secondary data layer is concerned with the management and usage of the devices themselves. Secondary telecoms data can give a company a deeper view of their telecoms environment by allowing them to see a full breakdown of usage, voice and data packages, roaming, uptime, and more. This includes the tracking and management of the primary data usage on a device.
The problem however is that there is not a single source for a company’s secondary telecoms data. The telecoms within a large enterprise is generating a large amount of segmented data. A multitude of devices and networks are collecting, exchanging and storing different types of information and feeding it to different places.
If one looks at a single telecoms device within a company, for example a smartphone, there is an immense amount of data that the company needs to know about that one device, for example:
- The type of device, its model and serial numbers etc.
- The service provider for the device and what kind of package they are providing
- Whether the device adheres to regulations and governance principals
- Whether the software on the device is up-to-date
- Whether the device adheres to security requirements
- The billing details for the device
- The usage breakdown for the device in terms of voice, data, roaming, etc.
When this is scaled up to cover the hundreds, or thousands, of devices that make up the telecoms environment in a large enterprise, it becomes apparent that there is a vast amount of complex secondary data that a company must keep track of in a telecoms environment.
With each device capable of delivering such a large amount of secondary data, companies need to be able to create a big data interface that allows them to track, collect, monitor, and analyse this data, in order to gain actionable business insights from it.
The purpose of this kind of IoT integration should be to make internal business processes simpler. If they are not implemented correctly however, they will just add unnecessary complexity to the enterprise ecosystem. Unfortunately, in many businesses there is a lack of the necessary skills needed to deal with the complexities that big data presents in the telecoms environment.
The value of the IoT is not only in gathering big data, but in using it to make better business decisions. If a company can collect and analyse the data being generated from their telecoms ecosystem effectively it will enable them to track expenses, monitor usage, reduce wastage, optimise performance, and reduce downtime. This can enable companies to make better financial forecasts and improve operational functioning across the enterprise. In order to do this however, they need to centralise complete control of their telecoms environment.
Look out for our next article on how companies can leverage the power of secondary data through cloud and automation to simplify their telecoms environment and ensure that they run a High Performance Environment