Focus on data governance, quality and storage if you want to do data management for analytics right.
Tag: data management for analytics
Jim Harris says learn the lineage of the data that fed the analysis before you get dazzled by visualizations or algorithms.
David Loshin raises questions about what needs to be done to ensure quality analytics.
Phil Simon shares some lessons from his consulting career.
Jim Harris warns against allowing your data lake to become a poorly managed and ungoverned data dumping ground.
Avoid frustrations by following these 5 tips from David Loshin to create a successful data management strategy for analytics.
If you need more than just well-mixed data, take a look at data preparation from SAS.
@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.
To do their jobs well, Joyce Norris-Montanari says users doing analytical data preparation need access to both standardized and raw data.