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Data Management
David Loshin 0
Linking identifiers for improved analytics

In my last post we started looking at the issue of identifier proliferation, in which different business applications assigned their own unique identifiers to data representing the same entities. Even master data management (MDM) applications are not immune to this issue, particularly because of the inherent semantics associated with the

Analytics
Paul Gittins 0
The cost of modernization

Unless you live in England, you may not have seen the recent announcement that Buckingham Palace is to undergo a 10-year refurbishment costing the British taxpayer £369M. Even with the post-Brexit devaluation of Sterling, that’s still a sizable spend representing nearly US$500 million. The Queen will remain in residence during

Data Visualization
Sanjay Matange 0
Hotel Text

Yesterday, I published an article on Axis values display, where I mentioned the desire expressed by many users to get x-axis tick values in Hotel text orienttion.  The name comes from the way many hotel signs are displayed as shown on the right.  Such arrangement of text can also be very

Advanced Analytics
Imre Pólik 0
How good is the MILP solver in SAS/OR?

There has been a lot of speculation over the years about the quality of the optimization solvers in SAS/OR, in particular the mixed integer linear optimization (MILP) solver. Measuring the performance of optimization solvers and comparing different solvers on a test set is a crucial part of modern optimization solver development.

Data Visualization
Sanjay Matange 0
Axis values display

Displaying nicely rendered axis values reduces clutter and makes the graph more readable.  With SAS 9.4, we added the ability for splitting x-axis tick values on white space to create a nice and readable x-axis as shown in the graph on the right. It is always a challenge to fit

Learn SAS
Rick Wicklin 0
Solve linear programming problems in SAS

In some applications, you need to optimize a linear objective function of many variables, subject to linear constraints. Solving this problem is called linear programming or linear optimization. This article shows two ways to solve linear programming problems in SAS: You can use the OPTMODEL procedure in SAS/OR software or

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