why you’re doing big data wrong
TRANSCRIPT
Why you’re doing Big Data wrong
Ma#hew PainterCTO at import.io
Data: Supply and Demand
Volume
Electronic Databases
Demand
Supply
Big Data
Business Intelligence
1980s 1990s 2000s 2010’s
A case study
This is Jackie
she is a Data Scien:st working for a global publishing house
She wanted data for pricing books
She started manually
She tried scrapers
Both of these weren’t feasible
Slow & Expensive
Hard to resource
GeCng data off the web can be fast
Data in minutes
Data in seconds
Perfect for data journalists…
or small companies
Why’s it not right for Jackie?
Scale.
Big-‐Data-‐as-‐a-‐Service“the forecast value of the BDaaS market could be $30 billion” -‐ Forbes
Benefits of BDaaS data supply
Data scienNst ready:maximum value
Specialist skills:web insights quicker
Known cost: predictable ROI
Scalable data:supply your demand
Do Big Data right…
reclaim >50% of your Data ScienNsts’ Nme