Tackling each project with passion and determination, in the world of BigR.io, we’ve been working hard to turn heads.
eBay Enterprise Marketing Solutions
Case Study
eBay Enterprise Marketing Solutions (EEMS) contracted with BigR.io to build fundamental components of a new Customer Engagement Engine (CEE) for their Commerce Marketing Platform.
Big Data Architecture Patterns
White Paper
Modern business problems require ever increasing amounts of data, and ever increasing variety in the data that they ingest. Aphorisms such as the “three V’s” have evolved to describe some of the 1 highlevel challenges..
Customer Acquisition through Predictive Analytics
White Paper
Your customers tell you a lot about themselves, through their digital interactions and social media assertions. With all the internal and external data you have, you can get to know each one of them as well as the corner store owner.
Deep Learning Neural Networks for IOT
White Paper
The global Internet of Things (IOT) market will grow to $1.7 trillion in 2020 from $656 billion in 2014, according to IDC Insights Research. IOT is forecast to generate a staggering 500 zettabytes of data per year by 2019.
Patient Health Storage System
Case Study
BigR.io architected and implemented a distributed, secure collaboration and document sharing platform that allows parents to exchange documents and conduct collaborative discussions with their children’s healthcare and educational providers.
Architecture and POC of Managed Data Hub
Case Study
A rapidly-growing niche analytics firm has developed cutting-edge models helping retailers within their industry make improved product recommendations to customers. These recommendations not only match appropriate products to those customers, but also help configure the product to the customers’ specific personalized needs.
Advanced Recommendation Engines
White Paper
When a shopper comes to an eCommerce site, how does she find the items she wants? Search is generally the default option when the site knows nothing about the shopper. Somewhere along the journey, though, the shopper starts to feel that the site should know her preferences better than pulling up a few thousand randomly-sorted options and dumping them on her.
