Back when I started in BI, we used reporting tools to provide users with an interface into very static views of data. Over the years, we’ve seen users continuously want more information displayed in a single report. But that became very time consuming. While the report may have illustrated a point, the time to create it became less and less tenable.
In a recent webinar we hosted with Cloudera, Markerstudy's Nick Turner walked us through his company's Big Data Insight project. The Markerstudy Group is not a hot new startup or a Silicon Valley stalwart, but a rapidly expanding, privately owned provider of auto insurance and related services in the UK. Its Big Data Insight project took the data collection, analysis, and reporting from the company's Insurer-Hosted Rating Engine (IHR) and moved it to a Cloudera Enterprise Data Hub that employs Spark for near-real-time processing and Zoomdata for fast visual analytics.
Aug 24, 2016 by in General
When you have a pile of data, many analysts feel an urge to dive right in. Run queries and try to tease out predictive models right away—without a proper goal. Others find the variety and scale of available data confusing, and think they won’t get any meaningful results.