Organizations today must manage and understand a flood of information that continues to increase in volume and turn it into competitive advantage through better decision making. To do that organizations need new tools, but more importantly, the analytical process knowledge to use them well. Our benchmark research into big data and business analytics found that skills and training are substantial obstacles to using big data (for 79%) and analytics (77%) in organizations.
Topics: Data Science, Predictive Analytics, R, SAP, Analytics, Business Analytics, Business Intelligence, Business Performance, IBM, Information Applications, Operational Intelligence, Oracle
SnapLogic, a provider of data integration in the cloud, this week announced Big Data-as-a-Service to address businesses’ needs to integrate and process data across Hadoop big data environments. As our research agenda for 2013 outlines, dealing with data in the cloud is very important to organizations. At the same time, businesses need to be able to integrate their big data with all their technology assets, as I pointed out recently.
Topics: Big Data, R, Sales Performance, Salesforce.com, SnapLogic, Operational Performance, Business Analytics, Cloud Computing, Cloudera, Customer & Contact Center, Data Integration, Information Applications, Information Management
I attended the Alteryx user conference called Inspire 2012 (Twitter: #Inspire12) in Denver this week. This fairly new analytics software company has been gaining customers in a range of brand-name organizations such as Dick’s Sporting Goods, Supervalu, U.S. Cellular and VF Corp. The company focuses on meeting the needs of analysts across the business analytic spectrum including a geographic and location context for simplifying the analytic tasks and processes for the needs of business at the strategic and operational level.
Topics: Big Data, Mobile, Predictive Analytics, R, Sales Performance, Supply Chain Performance, alteryx, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Management, Data
In various forms, business intelligence (BI) – as queries, reporting, dashboards and online analytical processing (OLAP) – is being used increasingly widely. And as basic BI capabilities spread to more organizations, innovative ones increasingly are exploring how to take advantage of the next step in the strategic use of BI: predictive analytics. The trend in Web searches for the phrase “predictive analytics” gives one indication of the rise in interest in this area. From 2004 through 2008, the number of Web search was relatively steady. Beginning in 2009, the number of searches rose significantly and has continued to rise.
Topics: Predictive Analytics, Predixion, R, Revolution Analtyics, Sales Performance, SAS, Social Media, Supply Chain Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Business Technology, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, IBM SPSS, Information Builders, Information Technology, KXEN, Netezza, Oracle, Tibco, Workforce Performance