by Blogger@olap | Sep 19, 2014 | BI Strategy, Business Forecasting, Business Intelligence Suite, Business Planning, Data Analysis, Technology and Trends, Uncategorized
There are three important patterns happening in the world that will ultimately change business in fundamental ways: where it is done, how it is done, and who does it. An article from McKinsey Quarterly, Management Intuition for the Next 50 Years, documents these...
by Blogger@olap | Aug 14, 2014 | Application/Data Integration, BI Solutions, BI Strategy, Business Intelligence Suite, Data Analysis, Predictive Analytics
If you are considering a Business Intelligence Project, there are two questions you should consider. These questions will help you pinpoint what exactly you may need to do with your BI project, as opposed to simply getting “analytics” or...
by Shruti Sahu | Mar 31, 2014 | BI Strategy, Data Analysis, Technology and Trends
Marketers are now capable of gathering huge amounts of data on consumer behavior ranging from where customer shop to what apps they use and which comments are“like” on Facebook. By tapping into data on consumer behaviors, it is predicted that, Big Data is going to...
by Shruti Sahu | Jan 24, 2014 | Data Analysis, Technology and Trends
Large amounts of healthcare information are stored by healthcare staff by entering the data in Electronic Health Records (EHRs). EHRs represent a clear view of all the unstructured data and can reveal every patients medical history, medication, laboratory test...
by Hellen Oti-Yeboah | Oct 30, 2013 | Data Analysis
Metaphorically, belief and disbelief in business analytics as a competitive edge – and not just a passing fad – meet at a door. On one side is passion, and on the other, fear. Passion always lives with fear. Those with passion for a methodology, like...
by Hellen Oti-Yeboah | Oct 28, 2013 | Big Data, Data Analysis
The current premise is that the more data an organization can access and analyze, the greater the insights that can be acted upon – so focus on data, data and more data. This approach loses sight of “NO” Data, though, which if detected can often represent even more...