A presentation on BIG DATA.

1. What do we do with all this big data
Susan Etlinger

2. RAJEEV RANJAN DWIVEDI
Integrated M.Sc. Statistics
Central University Of Rajasthan

4. What is big data?
Big data is a term that describes the large volume of data –
both structured and unstructured – that inundates a
business on a day-to-day basis. But it’s not the amount of
data that’s important. It’s what organizations do with the
data that matters. Big data can be analyzed for insights
that lead to better decisions and strategic business moves.

6. Big data’s big potential
The amount of data that’s being created and stored on a
global level is almost inconceivable, and it just keeps growing.
That means there’s even more potential to glean key insights
from business information – yet only a small percentage of
data is actually analyzed. What does that mean for
businesses? How can they make better use of the raw
information that flows into their organizations every day?

7. Why Is Big Data Important?
The importance of big data doesn’t revolve around how much data
you have, but what you do with it. You can take data from any
source and analyze it to find answers that enable 1) cost reductions,
2) time reductions, 3) new product development and optimized
offerings, and 4) smart decision making. When you combine big
data with high-powered analytics, you can accomplish business-
related tasks such as:
• Determining root causes of failures, issues and defects in near-real time.
• Generating coupons at the point of sale based on the customer’s buying
habits.
• Recalculating entire risk portfolios in minutes.

9. “FORMING A QUESTION IS A
REALLY COMPLEX
PROCESS.”

10. It's not just big data that causes challenges of interpretation,
because let's face it, we human beings have a very rich
history of taking any amount of data, no matter how small,
and screwing it up.

11. WE CAN PROCESS EXABYTES OF DATA
AT LIGHTNING SPEED, AND WE HAVE
THE POTENTIAL TO MAKE BAD
DECISIONS FAR MORE QUICKLY,
EFFICIENTLY, AND WITH FAR GREATER
IMPACT THAN WE DID IN THE PAST.

13. “FACTS ARE STUBBORN THINGS,
BUT SOMETIMES THEY'RE STUPID,
TOO.”
And they're vulnerable to misuse, wilful or
otherwise.

14. So what we need to do instead is spend a little bit more time on
things like the humanities and sociology, and the social sciences,
rhetoric, philosophy, ethics, because they give us context that is so
important for big data, and because they help us become better
critical thinkers.

16. THANK YOU