Multicollinearity and the solutions

In his book, Rudolf Freund described a confounding phenomenon while fitting a linear regression. Given a small data set below, there are three variables – dependent variable(y) and independent variables(x1 and x2). Using x2 to fit y alone, the estimat…

MDX: Dynamically Hiding Measures for Compliance

OLAP cubes are great for summarizing data very fast – I love them .   In certain environments, HIPAA compliance for personally identifiable data might be a concern.  Even at the lowest grain of a cube it might be possible to identify the specific detail data beneath the surface if the summarized number is small enough.  For example, if a report shows the number of people that work for a company in a county of a state that are over the age of 50 – it may be beneficial to hide the statistic to protect the identity of that sample size. Using MDX logic, we can dynamically hide measures that meet a certain criteria.  In the MDX code below, I have added an additional measure to the OLAP cube I used for SAS Global forum in 2011.   It will aggregate the Total Sales measure like normal but if the Total Sales measure is less than 50,000 it will show nothing. DEFINE Member “[SGF2011].[Measures].[Restricted Total Sales]” AS ‘iif([Measures].[Total Sales]<50000,NULL,[Measures].[Total Sales]),FORMAT_STRING = “DOLLAR20.0″‘; The Enterprise Guide screenshot to the right shows the output!     Secure the Original Measure with Metadata Permissions One concept I always promote with writing MDX code is […]