What enterprises do with big data- Part 1

Big Data made Small

What enterprises do with Big Data- Part 1

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Notes
a) This is a list of simplified requirement
statements from ongoing/past projects (not
verbatim and in no specific order).

b) You can easily assume that data delivered was in a
structured format.

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1. Collect data from Twitter every 5 minutes from
specific geographies and categories based on a set
of keywords. Our USP is social listening and this
data is a crucial part of our business.

3

2. We talk social travel and so are building an
intelligent social engine for finding and booking
hotels. In order to get this running, we'd like you
to provide reviews, the reviewer profiles, hotel
and restaurant addresses from these popular
travel sites and forums. Data could be in the range
of tens of millions.

4

3. We're in the brand monitoring zone. So we'd like
you to first collect all reviews belonging to say
Nike, and then index it for us so that we could see
what people are saying. If you could give us query
formats using which say, I could see how many
people said “bad” and how many said “good”, etc.
that would be ideal.

5

4. Give me all the stories about my interest list of
celebrities based on a list of keywords that I
provide (like, eat, drink, travel....) from about 400
sources and Twitter. I'm launching a celebrity
gossip website in multiple countries.

6

5. Get me all products with all its fields (name,
descriptions, price, specs) present on these
supermarket stores that are all AJAX. And sorry!
They are in Hebrew.

7

6. I'm so obsessed with near-real time data (sorry I
belong to media) that I need news of any deals,
acquisitions, mergers, or any other news based on
the phrases I provide to you and expect the feed
within minutes of the same being published
somewhere.

8

7. We are in the used car inventory space. There are
few platforms that automobile sites use for a set
of cars. Please get me data from such places on a
daily basis at these particular times in the day. I
need both English and French data and I'm
interested in both XML and CSV formats.

9

8. I need data from all
the tech support
discussion forums
from all of these sites
in this particular
format. I expect
about 2 million
records from here.

10

9. We are looking for laptop reviews that have these
operating systems. This is our initial list of sources
and would be great if you could come up with
others for us. We desire weekly updates of these
reviews.

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10. You get me all high resolution images from these
200 web stores so that whenever a user
bookmarks a product on my website, my
algorithm can show them those related products
to compare prices and eventually make a buying
decision.

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11. We offer great
discounts on tickets for
events and games.
Please crawl these
ticketing sites for us so
we have an inventory
of all events with their
seating-level prices
which we can use to
offer discounts and
run our analyses.

13

12. We acquire new and updated
‘Pending Legislation’ (as it is being debated in
Govt. prior to becoming a Bill/Law) documents
and extract associated metadata from legislature
websites. The document metadata may be
available on the web page where we download it
from, or within the document – which may be in
HTML or binary formats – e.g. Word, PDF. We
need to extract all of this data for our clients.

14

13. We're in the video-gaming industry where we
perform research on video games and provide
consulting. We need to extract data daily from all
popular gaming sites and gather news, articles and
their popularity.

15

14. Get me product feeds from the Indian E-
commerce market with all product-level details
and specifications. I need this to build an analytics
engine.

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15. We'd be interested in
these job portal sites and
would like to receive
updates on a daily basis on
the jobs posted in our
country. We're developing
solutions for the digital
classifieds markets.

17

16. We are a social strategy and analytics firm and
need lot of data to do some social data mining.
We have about 200 sites which are a mix of blogs,
news, forums, articles, travel sites and others,
many of which are non-English. Please extract
data as you find relevant to the domain. We need
updates on a daily basis.

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17. Our clients (who are large-scale manufacturing
companies) would like to see how their high-value
products are doing in the market. So we'll need
reviews of this list of products including review
date, author, content, review helpful,
recommends and other such details from these
set of sites.

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18. I'm developing a comparison shopping engine that
I can feed in data from other sources and have my
users compare and shop and see some price
trends. Please facilitate this data.

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19. I am in the healthcare industry looking to create
an inventory of all healthcare-related products
from these stores. I need to go to the last level of
detail and capture everything possible.

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20. We're interested in creating a database of all
companies in India that are less than x years old,
greater than y in revenue, belong to these
industries and provide these specific services.

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We like to remind “Why Us”?
Making big data small to alleviate tech-aches

•Low ETA’s •Highly Scalable
•Flexible Pricing
•Precision •Access to real-
based on size and
Extraction time data
frequency of
•Exhaustive data
crawls
available as feed

Performance Price Technology 23

Watch out for the next batch…

For details, contact
Email: info@promptcloud.com
Phone: +91-96 86 56 70 70

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What enterprises do with big data- Part 1

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