Jan 16, 2018


In this customer interview, learn how Carhartt, a leading global manufacturer of apparel, has empowered their business teams to make an impact by automating their SAP material master data processes with Winshuttle Foundation. Find out how they’re improving productivity and getting data right the first time by implementing user governance.

Jan 2, 2014


This case study highlights how this steel manufacturing company reduced SAP material creation by 30% while gaining better data quality through validation and integration across their entire material master data processes.

Dec 10, 2013


Maintaining complicated master data scenarios can be time consuming and labor intensive.  Hear SAP Business Analyst  Karsten Salin describe how Meneta used Winshuttle to save over 209 hours by cutting their MM02 product creation time from 18 minutes to 2 minutes.

Sep 3, 2013

Johns Manville

Master Data initiatives often require IT to spend valuable time supporting business processes, such as facilitating data changes and annual operating plans. Vendor master data in particular involves massive amounts of manual and duplicate data entry, monopolizing resources. Listen to Tonita Espinosa-Young, Enterprise Data Steward for Johns Manville, discuss how she and her IT team saved 320 days in production by automating their Master Data processes with Winshuttle.

Jul 24, 2013

Sun Chemical

Learn how Sun Chemical, the world’s largest producer of printing inks and pigments, uses Winshuttle Transaction and Runner to address their needs within recipe management and streamline the material creation process.

Jul 24, 2013

Sound Technology

Learn how Sound Technology is using Winshuttle workflow solutions for time card discrepancy and ERP account request, automating many of the steps involved in each process, and keeping an audit trail for monitoring and review.

Jul 24, 2013


Learn how Hubbell, an international manufacturer of quality electrical and electronic products, used Winshuttle Transaction to eliminate the manual keying of master data, saving time and money, and increasing the overall quality of data.