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Something's ROT-ten in Organizations' Storage Systems

Workers have become digital hoarders, cluttering systems with useless information that hinders productivity and raises security risks - Adopting a Clean Digital Storage Policy is the answer
Heather Phelps
Ribbon Communications

Organizations often promote a "Clear Desk and Screen Policy," emphasizing the practice of keeping desks clear of clutter and computer and phone screens locked when not in use. The primary purpose is security, trying to ensure that sensitive documents aren't left in the open, but keeping information in its proper place also makes everything easier to find.

Unfortunately, the same approach has not been applied to storage systems. Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins, filling them with the equivalent of old newspapers, old clothes, knickknacks, and other detritus of the workday.

All that redundant, obsolete and trivial data, appropriately known as ROT (Redundant Obsolete Trivial) data, clogs systems and slows down productivity, as digital hoarders struggle to find important files mixed in with the clutter. The result is decreased efficiency and increased frustration, which will only become more pronounced as organizations generate ever-greater volumes of data.

Organizations now need to go beyond clean desks and screens and embrace a clean digital storage policy that can remove the ROT. Cleaning up storage systems will not only reduce IT storage costs, but improve business efficiencies, reduce security risks and help meet compliance requirements by ensuring that only relevant, accurate data is being stored.

ROT Data Corrodes Performance, Increases Risks

It's no secret that organizations in virtually every sector are flooded with data, simply by dealing with their share of the approximately 403 million terabytes of new information created worldwide each day. As digital transformations continue and data becomes the most important asset for many organizations, how organizations manage their data has a significant impact on their efficiency, productivity and security. Clean digital storage policies enable them to separate valuable data from the ROT.

The most recent Veritas Global Databerg Report found that 28% of organizations' data is ROT, with another 53% classified as "dark" data of unknown business value. That leaves 19% of data clearly identified as valuable to the business.

It's easy to see how the types of data that constitute ROT can accumulate, whether in cloud services like OneDrive or local file systems.

Redundant data includes duplicate files that are kept across a variety of locations and systems, such as intranet systems. Obsolete data refers to information that is no longer accurate or relevant to the business, such as files that are out of date. Trivial data has no value to the business and does not need to be stored.

The mounting mess of ROT creates several risks for organizations.

Security is the most obvious risk because an accumulation of unnecessary data makes it more difficult to identify and protect valuable business data that would be targeted in ransomware and other attacks. But ROT data also poses compliance risks, since some of that data likely is old and out of compliance. Also, the clutter can make it difficult to find needed information in time to meet compliance requirements. And some obsolete data could contain sensitive information that increases liability risks.

Productivity suffers because of the time it takes to find useful information with so much ROT data in the way. Storage costs also rise as organizations generate more and more data, whether on-prem or in the cloud. And if as much as 80% of that data is of no value to the company, those costs will grow unnecessarily.

Cleaning Up Storage Systems

A clean digital storage policy encourages employees to regularly review and delete unnecessary files, organize data logically and ensures sensitive information is stored securely based on its classification and labeling.

Organizations can start with a detailed audit of their storage systems, which can help identify ROT data, and help with planning how to clear out unnecessary data. Processes such as data deduplication can remove redundant files and help create a single source of truth for valuable data. Organizations should then establish best practices for removing redundant, obsolete and trivial data.

It's equally important to ensure that you identify information that must be kept. Creating a classification system, or taxonomy, for data can label pertinent data — such as personal, health or financial information — and designate whether it falls into public, sensitive or other categories. This will also make retrieving information faster and easier.

Making sure you have clear data retention policies also is important. Assigning retention periods for data and regularly scanning data stores can ensure that data is removed from storage once it goes out of date.

Conclusion

Hoarding, by definition, quickly grows out of control. In the case of enterprise storage systems, the resulting clutter gets in the way of efficient productivity and raises security, compliance and other risks. By addressing digital clutter and managing ROT data, organizations can improve efficiency, enhance security and create a more productive work environment. Employees will benefit, too. Just as a hoarder finds relief in a decluttered home, employees will benefit from a clean and organized digital workspace.

Heather Phelps is Director of IT and Information Security at Ribbon Communications

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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Something's ROT-ten in Organizations' Storage Systems

Workers have become digital hoarders, cluttering systems with useless information that hinders productivity and raises security risks - Adopting a Clean Digital Storage Policy is the answer
Heather Phelps
Ribbon Communications

Organizations often promote a "Clear Desk and Screen Policy," emphasizing the practice of keeping desks clear of clutter and computer and phone screens locked when not in use. The primary purpose is security, trying to ensure that sensitive documents aren't left in the open, but keeping information in its proper place also makes everything easier to find.

Unfortunately, the same approach has not been applied to storage systems. Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins, filling them with the equivalent of old newspapers, old clothes, knickknacks, and other detritus of the workday.

All that redundant, obsolete and trivial data, appropriately known as ROT (Redundant Obsolete Trivial) data, clogs systems and slows down productivity, as digital hoarders struggle to find important files mixed in with the clutter. The result is decreased efficiency and increased frustration, which will only become more pronounced as organizations generate ever-greater volumes of data.

Organizations now need to go beyond clean desks and screens and embrace a clean digital storage policy that can remove the ROT. Cleaning up storage systems will not only reduce IT storage costs, but improve business efficiencies, reduce security risks and help meet compliance requirements by ensuring that only relevant, accurate data is being stored.

ROT Data Corrodes Performance, Increases Risks

It's no secret that organizations in virtually every sector are flooded with data, simply by dealing with their share of the approximately 403 million terabytes of new information created worldwide each day. As digital transformations continue and data becomes the most important asset for many organizations, how organizations manage their data has a significant impact on their efficiency, productivity and security. Clean digital storage policies enable them to separate valuable data from the ROT.

The most recent Veritas Global Databerg Report found that 28% of organizations' data is ROT, with another 53% classified as "dark" data of unknown business value. That leaves 19% of data clearly identified as valuable to the business.

It's easy to see how the types of data that constitute ROT can accumulate, whether in cloud services like OneDrive or local file systems.

Redundant data includes duplicate files that are kept across a variety of locations and systems, such as intranet systems. Obsolete data refers to information that is no longer accurate or relevant to the business, such as files that are out of date. Trivial data has no value to the business and does not need to be stored.

The mounting mess of ROT creates several risks for organizations.

Security is the most obvious risk because an accumulation of unnecessary data makes it more difficult to identify and protect valuable business data that would be targeted in ransomware and other attacks. But ROT data also poses compliance risks, since some of that data likely is old and out of compliance. Also, the clutter can make it difficult to find needed information in time to meet compliance requirements. And some obsolete data could contain sensitive information that increases liability risks.

Productivity suffers because of the time it takes to find useful information with so much ROT data in the way. Storage costs also rise as organizations generate more and more data, whether on-prem or in the cloud. And if as much as 80% of that data is of no value to the company, those costs will grow unnecessarily.

Cleaning Up Storage Systems

A clean digital storage policy encourages employees to regularly review and delete unnecessary files, organize data logically and ensures sensitive information is stored securely based on its classification and labeling.

Organizations can start with a detailed audit of their storage systems, which can help identify ROT data, and help with planning how to clear out unnecessary data. Processes such as data deduplication can remove redundant files and help create a single source of truth for valuable data. Organizations should then establish best practices for removing redundant, obsolete and trivial data.

It's equally important to ensure that you identify information that must be kept. Creating a classification system, or taxonomy, for data can label pertinent data — such as personal, health or financial information — and designate whether it falls into public, sensitive or other categories. This will also make retrieving information faster and easier.

Making sure you have clear data retention policies also is important. Assigning retention periods for data and regularly scanning data stores can ensure that data is removed from storage once it goes out of date.

Conclusion

Hoarding, by definition, quickly grows out of control. In the case of enterprise storage systems, the resulting clutter gets in the way of efficient productivity and raises security, compliance and other risks. By addressing digital clutter and managing ROT data, organizations can improve efficiency, enhance security and create a more productive work environment. Employees will benefit, too. Just as a hoarder finds relief in a decluttered home, employees will benefit from a clean and organized digital workspace.

Heather Phelps is Director of IT and Information Security at Ribbon Communications

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...