Mi probabilidad de utilizar esta información es prácticamente nula, mas la guardo por el hecho de que, bueno, puedo. El costo de almacenaje en incesante minoración ha hecho que sea más asequible preservar la información que tirarla. Marcha realmente bien con la tendencia humana a preservar las cosas, un instinto de acaparamiento que ha transformado a la industria del almacenaje en USA en un negocio de cuarenta millones de dólares estadounidenses.
However, hoarding is not a great idea when it comes to data. If I worked for a company and certain California residents I interviewed in 360 exercised their legal right to be forgotten, my company could be held liable for my pack rat behavior. “Humans don't like deleting things,” said Bill Tolson, vice president of global compliance and electronic discovery at ArchiveXNUMX, a data migration and management company.
Organizational ROT
The result is that, according to some estimates, up to XNUMX% of the information held by companies and their employees is either out of date or superfluous. Information governance professionals have a term for it: ROT (redundant, obsolete, trivial). Il hay un mithe selon leque les entreprises que ne pas soumises à des réglementations specifiques à l'industrie como la FINRA ou la HIPAA sont à l'abri de toute responsabilité pour la conservación d'anciennes données, mais presque toutes les organizations sont réglementées of our days. Under the General Data Protection Act in Europe, related legislation in California and Virginia, and privacy limitations in more than XNUMX countries around the globe, retaining data longer than necessary is dangerous for any organization. Regulations are just one of many reasons to clean up your hard drive. The best-protected corporate databases cannot guard against a malware attack on a family computer or information unintentionally left out in the open on a cloud server. The more data a company collects, the larger the attack surface is going to be. "Why spend money protecting data you don't need, and why keep it on a site that a hacker can exploit?" said Sue Trombley, general manager of thought leadership at records and data management giant Iron Mountain. Ransomware doesn't distinguish between good and bad data, and no one wants to pay to get something back that shouldn't have been there in the first place.
Costs can be misleading
Then there is the cost. “Storage is affordable, but the people responsible for managing it aren't,” Trombley said. Data has to be protected and supported and cost increases with volume. And if the information becomes the subject of legal proceedings, the costs can skyrocket. The cost of simply compiling data to respond to a forensic discovery request “can exceed $9 before the data is examined by lawyers,” said John Roman, president of IT risk management firm FoxPointe Solutions. In an analysis Out of a routinely called 2 of eDiscovery costs covering XNUMX cases, DuPont reported that half of the more than XNUMX million document pages reviewed exceeded the company's required retention period, resulting in almost twelve million US dollars in superfluous examination fees.It is safe to say that the amount would be considerably higher today.Other costs are more difficult to want, such as the impact of bad business decisions based on out-of-date information, confusion caused by conflicting information or time spent sifting through superfluous data in search of something wrong. “If the average employee spends XNUMX hours per week searching for information, what does that contribute to the overall cost? asks Tolson. “What revenue could they have generated on his site? Despite a strong case for suppressing junk data, few organizations limit the use of personal storage devices or cloud-based file sharing. “They don't think about it,” Tolson said. “It's at the bottom of the list of things to they could board any day."
AI to the rescue?
Technology offers a partial solution. Data Catalog software automates the process of data discovery and classification in an organization. Most data catalog vendors also offer discovery features that can find data on corporate servers, individual computers, and cloud storage. Many even automatically mark or delete old records according to company policies. A more sustainable solution is to incorporate data governance standards that define how users should manage data responsibly, including the use of META tags, copy limits, and record retention schedules. Thanks to the awakening of privacy regulations, "big organizations have become savvy about record keeping," Trombley said. Tolson thinks that, in the long run, technology will find a solution. “You need to change the corporate culture to actively manage old data and establish policies to remove it when it's no longer needed,” he said. "An artificial intelligence system should be able to do this transparently." As long as I don't play those old audio files on my computer.
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