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How a peer to peer money transfer startup used big data to fight competition Tony Paul , Co-founder @ Datahut
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How a peer to peer money transfer startup used big data to fight competition

Mar 22, 2017

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Page 1: How a peer to peer money transfer startup used big data to fight competition

How a peer to peer money transfer startup used big data to fight competition

Tony Paul , Co-founder @ Datahut

Page 2: How a peer to peer money transfer startup used big data to fight competition

Disclaimer :

To honour our clients Interest, we are not disclosing their details. We will beusing Pseudo names, ABC corporation for company and Kevin for their Director ofMarketing who worked with us in compiling this case study.

Page 3: How a peer to peer money transfer startup used big data to fight competition

Background

Peer to peer money transfer is a very competing market and ABC corporation wasloosing to their competition in a pricing war. Like ABC corporation, their competitors were indifferent countries, offering varying prices in different corridors. Kevin wanted to get rates theircompetitors are offering in various corridors.

Page 4: How a peer to peer money transfer startup used big data to fight competition

Challenges

The technical team of ABC corp wanted an API that can be directly integrateto their BI suite and a rule engine. Rule engine will dynamically change the pricingoffered by ABC corp in different corridors according to some pre-defined rules.

ABC corp wanted fresh data in every three hours

There were 100+ competitorsAnd more than 5000 corridors

We had to work with different currencies across different corridors

Page 5: How a peer to peer money transfer startup used big data to fight competition

We've setup an API that pushed fx rates across differentcorridors to the rule engine and BI suite in every 3 hours.

Our solution

Here is what the web scraping solution looks like.

Page 6: How a peer to peer money transfer startup used big data to fight competition

If there was a change in pattern,the scraper was repaired to ensurethe quality of data.

We helped integrate our API tothe BI suite and rule engine.

They gave us the list of websitesand the fields they wanted toextract.

The data was delivered via an APIin every three hours.

Our tool, Chameleon was able toautomatically identify site patternchanges.

We extract the data and push itto our machine learning basedQ&A tool.

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Page 7: How a peer to peer money transfer startup used big data to fight competition

They were able to figure out some patterns in the competitors pricing strategy which gave them the power to take informed decisions.

Results

We automated the entire data extraction and processing workflow .

The rate update became dynamic which increased the sales volume.

ABC corp optimised the spending across corridors which helped them minimise

the losses.

Page 8: How a peer to peer money transfer startup used big data to fight competition

Want to fight competition ?

Shoot an email to [email protected] , we can share a fewideas that might help.

Page 9: How a peer to peer money transfer startup used big data to fight competition

Why Datahut ?

No coding, Servers or DIY Software required

You own the data and codeScalable extraction

Affordable pricing and100% Money back guarantee

Premium 1-1 customer support

Partner program for Startups

Page 10: How a peer to peer money transfer startup used big data to fight competition

Our customers love us. We think you will too.

“Datahut provided us with great service and interactions in a veryshort amount of time. Even though it was not obvious to extract thedata, Datahut managed to find a way to build a specific crawler thatdid the job. We couldn’t be more satisfied, I am happy with their webscraping services.”

- Yohan Ruso – Former MD @ Ebay & CEO @Praditus

Page 11: How a peer to peer money transfer startup used big data to fight competition

Focus on growing your business not extracting dataVisit : datahut.co