Dollar General uses 1010data to track the contents of shopping baskets to analyze correlations among consumer choices.

1010data Offers Data Warehouse-as-a-Service for Analytics Queries

by   |    September 24, 2012   |    Leave a comment

Among the strengths of the spreadsheet: many business users already know how to interpret numbers on one. 1010data takes this idea and expands it exponentially. The company’s software-as-a-service data warehouse provides fast-response queries to datasets that contain hundreds of billions of rows, serving up results via a Web browser into familiar formats including Microsoft Excel. Read More…


For Telco, Guavus Analytics Offers Insights into Network Performance

by   |    September 21, 2012   |    Leave a comment

With millions of mobile, data-hungry customers and networks that must be analyzed and monitored in real-time to ensure optimum performance and reliability, large telecommunications companies are always looking for more tools to gain insights about their network’s performance. One company talks about its use of the Guavus analytics platform to address this challenge. Read More…


What Would You Have Done with Apple’s Mapping App?

by   |    September 21, 2012   |    1 Comment

Apple’s decision to launch its Map app to replace Google Maps on iOS devices has brought consumer complaints. It brings up an interesting question for people who manage data, build applications and create data visualizations to generate new insights for both internal and external customers: What should a company do with a data-driven product launch like this? Read More…







Moving Past the Tipping Point for Mobile Analytics

by   |    September 17, 2012   |    Leave a comment

Most companies using smart phones and tablets are just now realizing how powerful they can be when you develop applications tailored to their needs. Top level executives are interacting with data in ways they never have before, leading to better Read More…



Market and Business Drivers for Big Data Analytics

by   |    September 16, 2012   |    4 Comments

To best understand what “big data” can mean to your organization, start by understanding the conditions that has led to its growing acceptance. In this article, the first in a series, David Loshin explains the economic drivers that make new analytics applications worth evaluating given today’s exploding data volumes, and the technology innovations that make such systems more accessible to more companies. Read More…