Big Data-as-a-Service offers quick, inexpensive, targeted analytics
Kevin Walker’s sales team was buried under information. Internal records, news reports, third-party data sources.
Take a simple question like “Which customer should I call first?” The sales team might want to reach out to a customer who has just hired a hundred new employees, or the one whose equipment is ready to be replaced — but that requires going through all those information sources and then prioritizing.
The information is coming in fast, at high volumes, in a variety of formats. It’s too much for human beings to handle — it’s a job for Big Data analytics.
