data quality

3月 242017
 

In a recent presentation, Jill Dyche, VP of SAS Best Practices gave two great quotes: "Map strategy to data" and "strategy drives analytics drives data." In other words, don't wait for your data to be perfect before you invest in analytics. Don't get me wrong -- I fully understand and [...]

Don't let data issues delay analytics was published on SAS Voices by David Pope

3月 202017
 

David Loshin extends his exploration of ethical issues surrounding automated systems and event stream processing to encompass data quality and risk considerations.

The post Event stream processing, data quality and risk mitigation appeared first on The Data Roundtable.

1月 272017
 

In my last post I described "4 adaptability attributes for analytical success," and in the past I've discussed the strategic role analytics play in helping organizations succeed now and into the future. Now I'd like to discuss three attributes that define a powerful analytics environment: Speed Accuracy Scalability [NOTE: Any […]

3 attributes that define a powerful analytics environment was published on SAS Voices.

1月 102017
 

Streaming technologies have been around for years, but as Felix Liao recently blogged, the numbers and types of use cases that can take advantage of these technologies have now increased exponentially. I've blogged about why streaming is the most effective way to handle the volume, variety and velocity of big data. That's […]

The post Streaming to better data quality appeared first on The Data Roundtable.