Understand why managing your data is essential for analytics
Jim Harris shows how data-driven businesses incorporate three aspects of data governance to guide their decisions.
Once you have a data strategy for omnichannel, what's next? Kim Kaluba explains.
Joyce Norris-Montanari says IT and business need to work together when giving business users self-service data preparation tools.
David Loshin describes some steps you can take to ensure that self-service data preparation improves collaboration.
Kim Kaluba says start the journey toward ominchannel with a data strategy based on governance.
To get full value from analytics programs, Todd Wright says be sure you can first access, integrate, cleanse and govern your data.
Phil Simon chimes in on the tendency to rely upon these tools too much.
Jim Harris says more reusable data quality processes mean less reliance on IT and higher productivity across the board.
To do their jobs well, Joyce Norris-Montanari says users doing analytical data preparation need access to both standardized and raw data.
David Loshin describes how data as a service supports fast deployment, easy accessibility and data reuse.
