Data management and IoT- challenges faced

Data management and IoT- challenges faced

As the use of electronic gadgets has increased tremendously over the years, there is a huge chunk of data to be collected, from macro to micro, how data is collected, processed and stored is an astounding part of the digital environment. When compared with data that are received in the past, today the amount of the data received is growing exponentially.

The internet of things (IoT) is the latest contributor to the huge volume of data collected every day. This has caused the industry to once again re-think its strategies to evaluate data management ideas from a different perspective, a perspective involving the scale, security, integration, and gravity of the data collected.  The approach of the past cannot be used anymore with the increasing pile of revived data. Proper scalable infrastructure and centralized management is the need of the hour.

Globally required infrastructure

Piles of data generated every day will be analysed and segmented and the increasing data volume has been a major concern for many years. A couple of major factors have helped industries to manage with the increasing data pile, decreasing storage size and cost are the important factors among it. But the sources, locations and speed with which data is generated require rethinking the entire data lifecycle.

  • Does the current system have the capacity to handle the volumes of data?
  • Who should be provided access to these data?
  • What are the basic requirements, both operationally and legally?
  • Predicting data growth over the course of time?

The above questions may sound, rhetorical, but they are also practical. The answers of all these questions have a common thread and that is the need to improve operating infrastructure to support data management and processing the growth for years ahead.

Value comes with Volume of data

When the volume of data increases from any single location, that particular location gains data gravity. Growing data volume allows other applications or functions to find value in that data and those applications usually increase that volume even further. An ideal string on the offshore platforms helps in tracking depth, speed, angle, temperature, head pressure and other operational data.

The data gains more value when it is combining with a different lot of data received from other sources. When all the data are analysed the operators can predict and optimize the performance in each and every locations. When the analysed data is compared with the geographical data it can be used to perform operations efficiently and various exploratory techniques can be used. Data also provides sufficient support to equipment manufacturers indicating them with failure or suboptimal performance. With better and deeper insights, it will lead to better product designs and preventative maintenance schedules.   

A large volume of data will provide greater insights to benefit operators and manufacturers and maintenance personnel. The volume of data is directly proportional to the value of the data.

Secure integration

Every data attains greater value when it is securely shared with genuinely interested parties. For any industry, the data received from its customer base will be of greater value when it is securely shared with the organisation. The challenge is integrating all the involved parties without compromising the security of the operating environment. Is it possible to collect, connect, and process data while maintaining a secure platform?

Data security with encryption strategy

With the digital world evolving rapidly, the threat of cyber attacks has also increased.  Now any enterprise with significant physical operations — manufacturing, utilities, transportation, city infrastructure, chemical and petroleum, pharmaceutical, telecommunications and more — must be concerned with the security of operational and intellectual data.

 A potential breach by a knowledgeable hacker could disable a critical process. Organisations that depend upon intellectual property are in a critical place to protect their data at any cost. Protecting data requires a multifaceted approach, but the foundation of all the security will be laid upon encryption, a strong data encryption strategy is the best defence against digital threats. With the data management platform, the distributed nature of operation makes it mandatory to protect the data with a key encryption feature. The encryption key management will be provided as a service that can be relied upon on various circumstances, the traditional hardware security model will be a huge step towards the past in the rapidly evolving technological trend. All the issues involved in the operation of the system can be effectively addressed with a global platform that enables you to deploy an effective structure.

Leave a Reply

Notify of
Scroll to top