by admin | May 27, 2011 | Business Intelligence, Business Process Improvement, Collaboration
By Philip Duplisey – Director Consulting Services The latest Gartner Business Intelligence Magic Quadrant report was very exciting for all of us at Bardess. It confirmed the shift in the BI market we had been predicting for a while, the idea of end user driven...
by admin | Nov 17, 2010 | Business Intelligence, Business Process Improvement, Collaboration
By Philip Duplisey – Director Consulting Services QlikView has been described as a “Disruptive Technology”, but what exactly is a disruptive technology, and how is that affecting how we solve business problems? Wikipedia defines a disruptive technology as an...
by admin | Nov 3, 2010 | BI Architecture, Business Intelligence, Business Process Improvement, Collaboration
By Philip Duplisey – Director Consulting Services The popularity of Microsoft’s SharePoint product continues to grow. Not only is it Microsoft’s fastest growing product, and a billion dollar business, but a recent Gartner report predicted that the enterprise...
by admin | Sep 29, 2010 | Business Intelligence, Business Process Improvement, Data Management
By Philip Duplisey – Director Consulting Services Garbage in, garbage out (GIGO) is a phrase that has been around as long as computers have been around. It has been recently validated for me during the past few weeks when I spent some time onsite at clients for...
by admin | Sep 9, 2010 | BI Architecture, Business Intelligence, Business Process Improvement, Data Management
By Philip Duplisey – Director Consulting Services On the QlikView blog website, Erica Driver has summarized the results of a recent survey conducted by Aberdeen Group of QlikView users. Please read her post, but as a quick summary allow me to highlight her...
by admin | Sep 8, 2010 | Business Intelligence, Business Process Improvement, Data Management
By Joe DeSiena, President Consulting Services Finding Success The seven major steps that must be taken to achieve Data Quality are: Acknowledge the problem, and identify the root causes; Determine the scope of the problem by prioritizing data importance and performing...
