by admin | Mar 17, 2015 | Big Data, Big Data, Business Intelligence, Business Intelligence, Business Process Improvement, Data Management, News & Events
On February 12, 2015 SIM held a “Analytics & Business Intelligence” panel discussion at the Madison Hotel in Morristown NJ. Joe DeSiena, President of Consulting Services at Bardess Group Ltd. and an Executive Committee Trustee of NJ SIM, was the event moderator...
by admin | Oct 1, 2014 | Big Data, Data Management
One of the often under acknowledged and overly difficult tasks of data management is that of data migration. Legacy data migration is a challenging process, often resulting in unexpectedly high outlays for acquisition and support infrastructure. Although migrating...
by admin | Sep 6, 2014 | Big Data, Data Management
Enterprise users are quickly turning to the cloud for solutions regarding their data. Because many businesses are seeing an increase in data growth each year, migrating, maintaining, and monitoring data in the cloud is a necessity. Being that the cloud never sleeps,...
by admin | Aug 26, 2014 | Business Intelligence, Data Management
It’s only been a month since the official announcement for Qlik Sense, and already there is quite a bit of buzz throughout social media. Those who follow BI have definitely heard of QlikView by now. And those that follow QlikView closely are excited (and perhaps a...
by admin | Feb 26, 2014 | Data Management, Project Management
When it comes to managing projects in the cloud, IT professionals must be wary of their strategies and tactics. The quick rate in which cloud computing is evolving requires those in the industry to be more astute than ever before. Every consultant believes they have...
by admin | Aug 14, 2013 | Business Intelligence, Data Management
You want answers? In business intelligence solutions, insights delivered by key reports and models are essential for making executive decisions. But reports and models come from analyzing data, and using bad data will yield inaccurate results which will certainly...
