QMF: Web Dashboards Joining Disparate Sources for Business Analytics

One of the things that is nice about working with various clients is that I get exposed to a variety of projects, database designs and products. One of the new product releases that is very interesting and really surprising is the QMF 10. This new release of QMF for the Workstation is completely new and . . . → Read More: QMF: Web Dashboards Joining Disparate Sources for Business Analytics

Leading Edge Business Analytics

As the U. S. election fever subsides, the relative accuracy of the analytics of the pollsters and especially Nate Silver’s predictions send a clear message through politics and business alike, doing analytics works. Analytics depends on several factors in which understanding the data’s meta-data for context, development of data associations and . . . → Read More: Leading Edge Business Analytics

Big Data: Jeff Jonas Provides More Insights at DAMA-NCR

Since I am president of the local Washington DC DAMA National Capital Region (NCR), I was fortunate to put the agenda together for our annual DAMA Day. Our DAMA Day this year featured the topic of Big Data and I was fortunate to convince Jeff Jonas to keynote at our DAMA Day event. Jeff and . . . → Read More: Big Data: Jeff Jonas Provides More Insights at DAMA-NCR

Big Data Analytics: More Maddening Basic Issues: NULLS, VARCHARS and DEFAULTS

Last week’s blog information made some upset with its basic advice on Big Data. I agree these basic database issues should be common knowledge for business and database professionals and not have to be discussed or even considered. Unfortunately, all the new developers are thinking that they are prodigies of Leonardo da Vinci and their . . . → Read More: Big Data Analytics: More Maddening Basic Issues: NULLS, VARCHARS and DEFAULTS

Content Analytics: Four techniques to make your big data project a success

Would you start a trek through a jungle without a map or GPS? Many companies are attempting content analytics with their new big data, petabytes of data generated from the web, mobile devices and other connections without a plan. These companies are trying to leverage their big data, but getting lost in billions of rows . . . → Read More: Content Analytics: Four Techniques to Make Your Big Data Project a Success