The Data Roundtable
A community of data management experts![Data gone awry, Part 1: Will your business data deceive you? graphic designers at computer looking at data](https://blogs.sas.com/content/datamanagement/files/2016/04/536907999.jpg)
.@philsimon on whether big data and analytics offer true guarantees.
![SAS® in the seat? Motorcycle racer goes streaming. motorcycle racer thinks streaming data](https://blogs.sas.com/content/datamanagement/files/2016/04/Sun_Img_35305b.jpg)
Some people think motorcycle racing is a sport for thrill seekers and adrenaline junkies. So you might be surprised to hear that after many years of racing, I’ve found it to be a contemplative activity more related to precision and prediction than reckless abandon. In motorcycle racing, the driver has
![Pushing data quality beyond boundaries woman working on laptop](https://blogs.sas.com/content/datamanagement/files/2016/04/42-43165386.jpg)
Throughout my long career of building and implementing data quality processes, I've consistently been told that data quality could not be implemented within data sources, because doing so would disrupt production systems. Therefore, source data was often copied to a central location – a staging area – where it was cleansed, transformed, unduplicated, restructured
![Can SAS Data Management get you to soccer on time? soccer kid and common data quality issues](https://blogs.sas.com/content/datamanagement/files/2016/04/87790908.jpg)
A soccer fairy tale Imagine it's Soccer Saturday. You've got 10 kids and 10 loads of laundry – along with buried soccer jerseys – that you need to clean before the games begin. Oh, and you have two hours to do this. Fear not! You are a member of an advanced HOA
![Health insurance, healthcare and pharmaceutical perspective on data quality – Part 2 doctor with laptop in lab](https://blogs.sas.com/content/datamanagement/files/2016/04/175715380.jpg)
As I explained in Part 1 of this series, spelling my name wrong does bother me! However, life changes quickly at health insurance, healthcare and pharmaceutical companies. That said, taking unintegrated or cleansed data and propagating it to Hadoop may only help one issue. That would be the issue of getting the data
![Which comes first, data quality or data analytics? chicken peeking out of egg](https://blogs.sas.com/content/datamanagement/files/2016/04/95643160.jpg)
While it’s obvious that chickens hatch from eggs that were laid by other chickens, what’s less obvious is which came first – the chicken or the egg? This classic conundrum has long puzzled non-scientists and scientists alike. There are almost as many people on Team Chicken as there are on Team