If you need more than just well-mixed data, take a look at data preparation from SAS.
Tag: data management for analytics
@philsimon chimes in about how success in one area can lead to success in another.
To get full value from analytics programs, Todd Wright says be sure you can first access, integrate, cleanse and govern your data.
Phil Simon weighs in on the value of getting your own hands dirty using self-service data prep.
Helmut Plinke explains why modernizing your data management is essential to supporting your analytics platform.
As the application stack supporting big data has matured, it has demonstrated the feasibility of ingesting, persisting and analyzing potentially massive data sets that originate both within and outside of conventional enterprise boundaries. But what does this mean from a data governance perspective?
One aspect of high-quality information is consistency. We often think about consistency in terms of consistent values. A large portion of the effort expended on “data quality dimensions” essentially focuses on data value consistency. For example, when we describe accuracy, what we often mean is consistency with a defined source
.@philsimon on the need to adopt agile methodologies for data prep and analytics.