BackOffice to be a Platinum Sponsor and Present at SAP Logistics & SCM 2013

March 5, 2013 Press Releases

Session on Managing Supply Chain Data Quality Initiatives to be Presented by BackOffice Consultant

South Harwich, Mass., March 5, 2013 

BackOffice Associates, LLC, a leading provider of data migration and information governance solutions, with a concentration on enhancing ERP data quality, today announced that it will be a Platinum-level sponsor of SAP Logistics & SCM 2013.

SAP Logistics & SCM 2013 offers a comprehensive education through workshops, lectures, demos, and panel discussions presented by top experts at SAP, leading customers, and the most authoritative consultants in the SAP logistics and SCM, PLM, manufacturing, and procurement arenas. BackOffice can be found at Booth #600 at the event.

In addition to the sponsorship, a BackOffice consultant will lead a solution-provider session about supply chain data quality initiatives. The conference takes place March 5-7, 2013 in Las Vegas.

“Creating a data quality strategy for SCM to effectively manage complex data-related relationships, roles and scenarios can be a daunting task. But it is an essential building block to a successful information governance strategy,” explains Ricardo Rosales, Lead Consultant for BackOffice Associates, who will conduct the session. The one-hour workshop will examine how to leverage the proper tools, a proven methodology, and the right mix of data quality experts to successfully support information governance initiatives for SCM. The session will take place on Wednesday, March 6 from 10:30-11:30am in Montego B.

“BackOffice is committed to helping companies successfully plan and implement data migration and data governance strategies for SCM,” commented Mr. Rosales. “During this session, we look forward to sharing best practices, tips and lessons learned for uncovering and dealing with obsolete, incomplete, duplicate and unnecessary data. We’ll outline steps that can be taken to effectively establish quality data and actionable data metrics.”

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