How will the IoT affect your data management strategy?
.@philsimon says that it's never too early to think about the IoT and data management.
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Characteristics of IoT data quality
In my last post we started to look at two different Internet of Things (IoT) paradigms. The first only involved streaming automatically generated data from machines (such as sensor data). The second combined human-generated and machine-generated data, such as social media updates that are automatically augmented with geo-tag data by
Data gone awry, Part 2: What to do when your business data deceives you.
.@philsimon on what to do when the data breaks bad.
The internet of things and the question of data quality
The concept of the internet of things (IoT) is used broadly to cover any organization of communication devices and methods, messages streaming from the device pool, data collected at a centralized point, and analysis used to exploit the combined data for business value. But this description hides the richness of
Data gone awry, Part 1: Will your business data deceive you?
.@philsimon on whether big data and analytics offer true guarantees.
SAS® in the seat? Motorcycle racer goes streaming.
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
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?
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
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?
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