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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 Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity.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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Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

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AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

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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

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...