6 Bad Habits of Data Management- Part 2

John Sharpe

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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.

4. KEEPING DATA INEFFICIENTLY

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.

5. KEEPING DATA ON THE WRONG TYPE OF STORAGE MEDIA

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.

6. KEEPING DATA WITHOUT REGARD TO ITS LIFECYCLE NEEDS

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.

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