Home Technology The Future of Data Management: 7 Predictions for 2022

The Future of Data Management: 7 Predictions for 2022

by Alison Lurie

While it’s easy to see that data management will undergo an enormous shift in the coming years, predicting what will happen isn’t as simple as you might think. 

The truth is that many of the biggest changes are already underway right now, so our predictions may be less accurate than they would have been even a few years ago. Regardless, here are seven predictions of how data management will change in 2022.

1) Data Scientists Will Be As Vital As Doctors

It’s no secret that healthcare will continue to see data science as an essential component of delivering care. We’ve already seen how to use big data in predictive analytics, genomics, and even surgical robots. 

Experts expect continued growth in these fields and others like pharmaceuticals, agriculture, and energy systems. The role of data scientists will become as important—if not more important—than doctors because their expertise will help patients lead healthier lives.

2) Unstructured Data

Unstructured data amounts to over 80% of all enterprise data. Within five years, that figure will dip to 30%. The rest will comprise structured and semi-structured data. According to experts at Egnyte, “Securing unstructured data must be a key part of every organization’s security framework, as it is susceptible to data breaches and other forms of cyberattacks; being “too big to handle” is not an excuse for lax security.” Businesses need to invest heavily in these strategies that allow them to better manage and control data across the board.

3) Privacy and Security Will Improve

Consumers will continue to demand more privacy, and in response, companies will work hard to ensure that their data systems are as secure as possible. In 10 years, we’ll see progress in that regard. Security breaches will become increasingly rare—if only because no company wants a target on its back.

4) AI Will Help Us Think Smarter

Developers will integrate AI, machine learning, and deep learning into our daily workflows in many ways to help us make better decisions. These techniques will also help organizations understand their data more quickly and accurately.

5) Almost Everything You Do Online Will Create a Record

When you visit a website, it’s likely to create data about you somehow. When you start playing a game or chatting with a friend on your phone, those actions generate information that can be saved. And when you interact with most anything connected to an Internet Protocol (IP) address, that information can be sent and stored in ways you may not even realize are happening.

6) Accessibility & Control

Most analysts predict that big data will get even bigger in five years. Companies will store much of it outside corporate firewalls, in public clouds like AWS and Azure. Organizations will have to treat their data as an enterprise asset, not just a departmental one.

7) Storage Will Get Much Cheaper

In 2017, enterprises paid an average price per gigabyte of around US$10. We expect this number to fall to US$1.50 thanks to cheaper technologies such as 3D NAND, higher capacities, and drive/flash controller software.

Everyone agrees that data is changing how we live and work, but who could have predicted it would become one of society’s most prized resources. As we move forward into a world where data becomes more and more important, companies will need to start developing new strategies for managing their data if they want to remain competitive.

Author Bio:

Alison Lurie is a farmer of words in the field of creativity. She is an experienced independent content writer with a demonstrated history of working in the writing and editing industry. She is a multi-niche content chef who loves cooking new things.

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