Yellowfin, business intelligence (BI) and analytics software vendor, is launching a virtualized data preparation module for analytics, fully integrating it into the metadata layer of its BI platform.
Yellowfin's Data Preparation Module will enable organizations to model, profile, clean, shape, enrich, secure, and publish all data for reporting and analytics in a single BI environment.
"With this release, Yellowfin has delivered another first for the BI and analytics software industry," said Glen Rabie, Yellowfin Co-founder and CEO. "Yellowfin's virtualized Data Preparation Module uniquely addresses the cost, complexity, security, and inefficiency issues encountered by typical approaches to data preparation.”
Yellowfin's Data Preparation Module integrates data preparation processes directly into a single analytics environment, offers comprehensive data profiling capabilities, and provides automated best-practice metadata modeling functionality.
A key feature of Yellowfin's data profiler is that it provides a list of Suggested Actions, which proposes best-practice metadata modeling solutions based on the profile results.
Yellowfin's data profiling functionality also enables users to perform numeric and date grouping; apply filters, formatting, case statements, and calculated fields; append, standardize, or remove incomplete or inaccurate values; translate values held in the data source into business-friendly terminology; and assess data sets for attributes (such as ZIP or post code data) that would enable users to enrich data by adding a Yellowfin GeoPack, pre-packed geospatial and demographic data points for specific countries or regions.
Yellowfin's Data Preparation Module was launched alongside the latest version of the vendor's BI platform, Yellowfin 7.3.
Yellowfin 7.3 contained significant enhancements to Yellowfin's advanced data visualization capabilities, including the introduction of Set Analysis and a new Content Creation Canvas.
For more information about this news, visit www.yellowfinbi.com