1. The document discusses how data growth poses challenges for IT managers as storage is typically viewed as a cost rather than strategic investment. 2. IT managers are tasked with controlling data growth, managing and protecting data, and deriving value from data using various disparate tools. 3. The document argues that storage needs to transform from a cost and liability to a self-aware asset that provides users with data insights to make more informed decisions and increase ROI.

1. HOW TO MANAGE
DATA GROWTH:
Addressing analysis, security and protection

2. Senior management
has long viewed
storage as a cost item,
not a strategic investment.

3. As a cost item,
storage
presented
problems for IT managers.

4. End users
created and stored
more data.

5. Some companies
even created
keep-everything-forever
data retention policies.

6. Piles of data
continued
to grow with
no hope of
leveling off.

7. So IT had to
repeatedly ask for
more storage.

8. without tangible ROI.
Defending those
budget requests
was hard

9. Storage admins were
left to wrestle with
three problems:

10. 2. Find tools to decipher,
manage and protect data;
3. And actually derive value
from that data.
1. Control growth;

11. Disparate tools to:
• Analyze usage patterns
• Make data searchable
• Assess security
• Protect data
Each with its own user interface,
complexity and price tag

12. What IT teams really needed was a
way to transform data storage.
from a cost to a benefit.

13. From a
potential liability
into a
self-aware asset

14. From a
weakness
into a
protected strength

15. Smart storage
arms users with
powerful data insights.

16. Data-driven decisions add the
context employees need to
increase the ROI of every task.

17. So, it made sense to
bring insights
to the point of storage.

18. You’re managing
dozens of terabytes
today.

19. You know that
the load will be
larger
tomorrow.

20. Are there
any unusual
access
patterns?
How will you figure out:

21. Is corporate storage being
used for personal files?

22. Are there
compliance violations
in the stored data?

23. What data can we
move off
to cheaper storage tiers?

24. The only way to answer those
questions is to track and catalog
all data interactions.

25. Identify potential
risks and exposures
before they turn
into headlines.

26. FIND OUT HOW TO WRESTLE
WITH DATA GROWTH AND WIN.
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