Stay Ahead with Arbutus Technical know-Hows 

 

 

Protect Your Scripts

Protect Your Scripts

Anyone who writes scripts for others knows that issues can arise after you’ve shared them out with your users - despite your best attempts to make your scripts "bulletproof". Writing bulletproof scripts is something we all strive for, and Arbutus gives you a wide range of tools to help make this a reality. 

Data Quality Management

Data Quality Management

There are several simple steps you can take to test your data's quality. Ideally, this should be done immediately after defining a file in Arbutus Analyzer and before beginning your analysis.  Running the tests explained here, will document the results in the Command Log.

AUDIT ANALYTICS - HOME VS OFFICE

AUDIT ANALYTICS - HOME VS OFFICE

For many of us, working from home could be the norm for some time to come, but how does that impact the analysis of sometimes sensitive data?

Detect Duplicates

Normalize Address and Detect Duplicates

You'll learn how to normalize addresses and detect hidden duplicates using functions in Arbutus Analyzer.  Also included are files, scripts and instructions for you to run this yourself in Analyzer. 

Address Normalization

What is Address Normalization?

Data normalization is a term you might not be familiar with, but it is key to the success of virtually every matching exercise, and is in fact fundamental to database theory in general.  In essence its the science of "you say pot-tay-to and I say po-tah-to".  We want different expressions of the same thing to match. 

DQ Matters

DATA QUALITY MATTERS

While everyone has heard of the concept "Garbage in, Garbage out" (GIGO), for most of us this is just an accepted, but abstract, concept.  Today we'll explore Data Quality (DQ) more closely, and show how to minimize GIGO.