This presentation discusses various applications of web data in market research and data science. We also explore how a strong foundation for data acquisition can be established via Data as a Service.

1. Web Data for Market Research
and Data Science
Establishing a robust foundation with Data as a Service.

2. Salient Points
Why web data
Use cases in market research
Use cases in data science
How PromptCloud helps

3. Why Web Data

4. The Web is the Largest
Source of Data
Job boards
Ecommerce sites
Travel sites
Real estate
Marketplaces
Social forums
News sites

5. Data Growth has Moved to the Zettabyte Era
By 2020, our accumulated
digital universe of data will grow
from 4.4 zettabytes in 2015 to
around 44 zettabytes.
- Forbes

6. The sheer volume and diversity of web data makes it a great
choice for research and application in data science.

7. Use Cases in
Market Research

8. Trend Analysis
Timeline analysis of various facets
of a market can be performed by
extracting data from relevant
websites.

9. Market Report
The state of a market (example:
job market in the U.S., real estate
market in Europe) can be
reported by extracting relevant
data fields from domain-specific
websites.

10. Competitive Insight
Various strategic initiatives (pricing.
Recruitment, etc.) can be tracked by
extracting data from competitors’ websites
and media outlets.

11. Sentiment Analysis
Data extracted from forums,
social channels, blogs can be
analysed to measure the
consumer sentiment for a
brand.

12. Use Cases in
Data Science

13. Real time Analytics
Real time analytics can be
performed by monitoring and
extracting live data from various
websites.

14. Predictive
Modeling
Using the data generated by
users of various websites, models
can be created to predict result
for certain input (example:
predicting product rating from
the review content).

15. Natural Language
Processing
Continuous flow of Large text
corpora can be created via web
data extraction to address NLP
problems.

16. Training Machine
Learning Models
Web data can be used to train ML
models (Image and Text
classification, chatbots, etc.).

17. How PromptCloud Helps

18. Data Coverage and
Scalability
PromptCloud can extract data from any
website that legally allows crawling and
extraction irrespective of the geography
and language. Every day we deliver
millions of records to our clients and we
believe that we’ll be able to provide
solution for your requirement as well.

19. Domain Expertise
We’re one of the earliest players from the data extraction domain
with more than 8 years of experience. Hence, we’re confident that
our services provide impeccable value.
• High quality data
• Faster up-time
• Dedicated support team
• Comprehensive platform

20. Customisation Option
Every data extraction project is unique in
terms of requirement. Hence, we at
PromptCloud, build custom data feeds
exactly the way you want and deliver
the data according to the frequency set
by you.

21. Dedicated Solution
PromptCloud’s sole focus is on
data extraction. We’re dedicated
to building robust and automated
data feeds for our clients.

22. Reduce Total Cost of Ownership
Do away with the cost associated with in-house data extraction solution:
Servers
Data QA cost
Proxy Services
Infrastructure maintenance and upkeep
Engineers’ compensation
Software tools
Monitoring cost

23. Here is What Our Client Says
PromptCloud provides an excellent quality
service at highly competitive pricing for those
data projects that sit outside our internal
engineering schema. The pricing and quality of
service allow our engineers to concentrate on
the projects closer to the core of the business,
with the security of knowing PromptCloud is
servicing these other projects with the same level
of rigor and precision we’d expect from our core
team.
- Guy Champniss, VP Insights and Outreach
Enervee Corporation

24. A Pioneer in Data as a Service
Looking to acquire data from the web? Reach out to us at sales@promptcloud.com