The document discusses big data analytics, highlighting its ability to uncover patterns and trends from enormous data sets to aid business decisions. It notes that despite the technical challenges it poses, many organizations have adopted some form of analytics, with only a small percentage viewing big data as a problem. The conclusion emphasizes the importance of converting raw data into valuable information, knowledge, and ultimately, wisdom for decision-making.

1. Big Data Analytics: Future of Almost
Everything
Department of Computer Applications
School of Physical Sciences
Sikkim University Presented By - :
Robin Gurung
14UCA015

2. Introduction
Extremely large data sets
that may be analyzed
computationally to reveal
patterns, trends, and
associations, especially
relating to human behavior
and interactions.
is the process of examining large and
varied data sets -i.e., big data -- to
uncover hidden patterns, unknown
correlations, market trends, customer
preferences and other useful
information that can help organizations
make more-informed business
decisions.
Big Data Analytics
Big Data Analytics

3. Introduction Continued.
•Big data was a serious problem just a few years ago.
When data volumes started skyrocketing in the early
2000s.
•Emerge of Advance Analytics changed the perspective
of users for big data.
•can study big data to understand the current state of
the business and track still-evolving aspects such as
customer behavior.

4. Introduction continued
• The volume of the big data is calculated in
ZetaBytes(ZB).
early in year 2009 it was 2.3 ZetaBytes.
2.3 X 10,00,000 GB (Gigabytes) = 23,00,000.
As the year passed 2.3 (ZB) produced in single month.
Single week.
Single day.
Single hour.

5. 3 Vs of Big Data

6. Big Data analytics adoption.
•Roughly three quarters (74%) of organizations
surveyed have adopted some form of analytics today.
•In fact, 40% of survey respondents practice advanced
analytics without big data.

7. Big Data: Problem or
Opportunity?
•Only 30% consider big data a problem.
•No doubt that big data presents technical
challenges due to its volume, variety, and
velocity.
•Data volume alone is a showstopper for some
organizations.

9. Conclusion: What good is all
of this data?
•Data : As a raw unorganized facts, is in and of itself
worthless.
•Information : Potentially valuable concepts based on
data.
•Knowledge : Is what we understand based upon
Information.
•Wisdom : Is the effective use of Knowledge in decision
making.

10. References
• https://tdwi.org/research/2011/09/best-practices-report-q4-big-
data-analytics/asset.aspx?tc=assetpg .TDWI survey report of 2009.
• https://www.sas.com/en_in/home.html SAS survey report of 2011.
• Lohr S (2012) The age of big data. New York Times, pp 11 .
• Gantz J, Reinsel D (2011) Extracting value from chaos. IDC iView, pp
1–12.

11. THANK YOU