Avoiding data quality and integrity issues, and overseeing the relationship between in-memory analytics tools and data warehouses, are top priorities for organizations seeking to maximize the value of their business intelligence (BI) initiatives.

The benefits of in-memory analytics are invaluable, offering powerful analysis without requiring much support for query building and report creation. Yet with added capabilities comes greater responsibility, and thus potential pitfalls that can block your path to BI success.

This expert e-guide offers tips and best practices from leading industry analysts on how to avoid the possible challenges associated with in-memory BI projects.