6 Bad Habits of Data Management- Part 2

By: In: Data Management On: Jul 21, 2016
6 Bad Habits of Data Management- Part 2

In my last blog, 6 Bad Habits of Data Management- Part 1, I covered three bad habits many IT departments across the globe are guilty of committing. Here are 3 more mistakes you may be making.


This bad habit has two parts: One applies to inefficient data storage management practices, the other applies to one or more inefficient IT processes. The first affects organizations that keep data where it has always been since it was created, despite the fact that multiple copies of the same file exist, or the file is ageing and has not been accessed for over two years.

The second type of inefficient data management occurs in the technical software, server and storage stack. Some organizations may not be efficiently using many space-saving features available to them, such as compression or deduplication. Such features can dramatically shrink the capacity footprint of data stored or protected, thereby reducing the amount of storage required.


Not all data warrants storage on an organization’s most deluxe system. In an effort to help them face the data onslaught (or the “zettabyte apocalypse“), many organizations have instead begun to implement tiered storage and data protection architectures.

This might mean that only mission-critical and/or frequently accessed data resides on costly Tier 1 storage systems. To implement tiered storage or data protection, organizations typically apply manual or automated policy rules to their data. Such rules determine when it makes sense to move or migrate certain types of data to lower-cost disk or tape “tiers,” or even when it makes sense to archive or delete certain data.


Bad Habit #6 actually occurs throughout the previous five bad habits of data management. After all, each of these errors of commission or omission can be prevented once you decide to handle your data based on its lifecycle needs. This means that you must address you data’s needs from cradle (when the data is first created) to grave (when the data has outlived its usefulness and can be safely deleted). At first, managing one’s data based on a complete lifecycle of information might appear to be no small feat. However, outside experts can help make the initial process less painful and much more rewarding.

Now that you’re familiar with the six bad habits of data management, get ready to test your data management IQ with our new guide.

← How to Reduce Data Storage Costs 6 Bad Habits of Data Management: Part 1 →

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About the author

John Sharpe

John Sharpe is Director of Product Management for Iron Mountain’s Data Management business. In this role, he is responsible for developing and implementing strategies for backup, disaster recovery, and archiving. Creating new offerings that will allow our customers to extract more value from their media, whether new or archival, is central to Mr. Sharpe’s work. His primary overall objective is to ensure that Iron Mountain is a trusted information partner for our customers – and much more than a storage vendor. Mr. Sharpe has over 15 years of experience in engineering, corporate strategy, and product management. He holds a BA in computer science from Boston College and an MBA in finance from Yale.