Big data analytics projects frequently fail to return ROI due to these five factors. Learn how to make your big data cloud project succeed.

1. Present's

2. Factors Impacting Your Big Data
Project's Performance

3. Big data projects are complex with numerous
moving parts that impact whether a big data
project is successful or not. If your big data
project currently isn’t up to par, consider
these 5 factors.

4. STOP MOVING YOUR DATA
Transferring data to a new database, new cloud
platform, or new subscription within the cloud
creates an extra step in an already complex process.

5. OVERLOADED NETWORKS
Poorly constructed internal networks are quickly
overwhelmed by rapid data growth.

6. SCALABILITY (OR LACK OF IT)
Data sets grow quickly and unexpectedly, and the
infrastructure behind it needs to be able to grow
with it.

7. WRONG DATA FOCUS
Even with every other factor fully optimized,
focusing on the wrong data leads to dead ends and
a team that is swamped with irrelevant information.

8. SLUGGISH DATA CULTURE
Big data insights need to be acted upon quickly.

9. Stay Tuned With Us for More
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Source:
http://www.cloudstoragecomparison.net/benefits-cloud-storage-small-businesses/