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Vritaanta Volume 3 Issue 1 August 2016

The PR Team of SIBM Pune is happy to present the latest issue of Vritaanta. The cover story for Vritaanta ‘United by SIBM’ highlights the cultural and educational diversity present at our ‘lovely’ lavale campus. Flip to page 12 for the full story.

The PR Team of SIBM Pune is happy to present the latest issue of Vritaanta. The cover story for Vritaanta ‘United by SIBM’ highlights the cultural and educational diversity present at our ‘lovely’ lavale campus. Flip to page 12 for the full story.

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18 12 20<br />

Pedagogy<br />

Ground Zero<br />

Big Data in Marketing<br />

80 years of RBI operations...<br />

An article by Deepankar Chhabra of MBA-1 ,Marketing. Winner of the Dissertation competition<br />

The boot on the other foot<br />

held by SIBM Pune.<br />

W<br />

Taken from professor ith the Manasi evolution Phadke’s of Internet, blog, which the entire can be found ety at and www.manasiecon.wordpress.com<br />

Velocity.<br />

social, political, economical and technological<br />

landscape of the world has dra-<br />

<strong>Volume</strong>- the scale and amount of data; includes huge<br />

S<br />

information derived from Internet users and other Internet<br />

platforms.<br />

o there matically was changed. this lady, The who increase needed to in be the wanted to create this grand growth math; the right was<br />

number of Internet fitted users with has new caused shoes. an We’ll explosion be the of left, information<br />

across said different the newly sectors formed of Government the world economy. in 1947 Velocity- ated deficits; analysis on the of streaming anvil of the data; right includes were the algorithms tools of<br />

just correcting the inflationary aftermath. The left cre-<br />

Internet has changed and we’ll the give way how you businesses the right one operate, (pun intended<br />

function absolutely, and people in every live. which way) in a couple of<br />

governments<br />

and CRR tools and being SLR. used to extract information,<br />

Variety- And in 1978….the different forms lady looked of data; a includes bit north data east stored and saw in<br />

years time. But the right one exists already. From 1935<br />

In the era of Information technology, huge amount of data<br />

these form HUGE of texts, Chinese audio-media boots left files behind etc. by Mao. Around<br />

itself. Yeah, sure, said the left indignantly, but it<br />

is being generated everyday. Data is produced right from those shoes were equitable and negligible small footprints<br />

belonging to the populace of one of the most<br />

needs to belong now to the rightful (I mean…leftful)<br />

How big is “Big Data”?<br />

finding answers on various search engines to the items or<br />

Government! Let’s nationalize it…hmm..all shares in Everyday<br />

populated<br />

we<br />

country<br />

upload<br />

in<br />

55<br />

the<br />

million<br />

world. It<br />

pictures,<br />

doesn’t<br />

340<br />

matter<br />

million<br />

goods we purchase across different e-commerce websites.<br />

that<br />

the capital of the right were transferred to the left tweets<br />

one is hungry;<br />

and approximately<br />

so long as all<br />

1<br />

are<br />

billion<br />

hungry.<br />

documents<br />

Surely these<br />

(Source:<br />

The enormity of data has to be fragmented into smaller bits<br />

are<br />

and the right was created so that it would walk the Braindigit.com).<br />

not the equitable<br />

In<br />

footprints<br />

total we produce<br />

I wanted,<br />

2.5<br />

she<br />

quintillions<br />

thought.<br />

bytes<br />

in order to get the best information; which could be judiciously<br />

used across different platforms.<br />

laces<br />

And<br />

same way as the left. The left would reverse its a<br />

then<br />

day.<br />

she<br />

In simple<br />

looked<br />

terms,<br />

to the<br />

we<br />

South<br />

call this<br />

East…and<br />

Big Data.<br />

saw<br />

The<br />

those<br />

analysis<br />

stance; the right was to reserve judgment. The left of<br />

were<br />

Big<br />

coming<br />

Data generates<br />

undone. The<br />

important<br />

original<br />

patterns<br />

Russian shoes<br />

and insights,<br />

were in<br />

Till 2000, would only sometimes one-fourth be of the undependable; world’s data was the digitally right which<br />

tatters.<br />

further<br />

The left<br />

help<br />

shoe<br />

organizations<br />

realized that<br />

to<br />

the<br />

take<br />

time<br />

accurate,<br />

has come<br />

timely<br />

to<br />

stored. was The bank-able. remaining The data left was either left, and preserved the right..well, on paper and<br />

change<br />

better<br />

the<br />

decisions<br />

step. And,<br />

related<br />

in 1991,<br />

to their<br />

even<br />

products/services.<br />

as the lady groaned<br />

or film. right. But because various organizations around the world<br />

Big and Data moaned is stored taking and only shared 3 in steps various at a formats time, that the left are<br />

today have become advanced and technologically competitive;<br />

and the amount of digital data has expanded signifi-<br />

Right, so we go on…<br />

mentioned changed sides below: and became the right. The original right<br />

was delighted; now they could walk together! Walking<br />

cantly-nearly So they walked tripling their since lady, the her year Achilles 2000- Heel a new being trend the has 1. Emails & Messaging<br />

together did change things; they were now averaging 7,<br />

been left introduced one. The to lefty the world, was the called one ‘Big with Data’. lofty ideas. Lets<br />

2. sometimes Websites, 8 Search steps at Engines a time… & Blogs<br />

adopt a socialistic pattern of society and create equitable,<br />

Russian kinda footprints on the sands of time. 3. 2008..Only Social Media housing Channels rubble and as Platforms far as the eye goes. Every<br />

What exactly is Big Data?- Big data can be defined as voluminous<br />

and huge amount of data, (structured or unstructured),<br />

in whatever format, from whatever source, which<br />

So the lady swerved left and for the next 30 years step the lady took, there was a resounding gravelly liwalked<br />

into huge capital intensive steel mills and a<br />

needs complex algorithms, techniques and tools to store<br />

fiercely protected industrial structure in front of her.<br />

and process information.<br />

She socked trade and tied her laces more securely<br />

Big data against is characterized those dainty by western three V’s, ideas. namely The right <strong>Volume</strong>, lagged Vari-<br />

behind, dragged into the dance of the left. The left<br />

<strong>August</strong><br />

<strong>August</strong><br />

<strong>2016</strong><br />

<strong>2016</strong>

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