After years of acquiring companies, a $22.5B Diversified Manufacturing Conglomerate was left supporting and maintaining each of the different legacy manufacturing and ERP systems. In order to simplify and standardize back office processes, a multi-year project was initiated with the intent to increase productivity, improve customer experience, and leverage resources across
A for-profit higher education organization continually acquired universities as their network expanded over the years. Each university traditionally utilized separate (and often disparate) financial systems.
After years of acquiring various brands and companies, an $11.3B global leader in the beauty industry was left supporting and maintaining multiple different legacy HR/payroll systems. These systems were run by either the individual lines of business or outsourced to Third Party Administrators (TPAs). To increase productivity, improve customer service, and
Data Migration and Data Integration are mission critical aspects of today’s business application landscape, each serving different needs. While Migration and Integration are related, they are two fundamentally different activities with contrasting requirements. They need to be approached as such. When Migration is treated like Integration, the risk of failure greatly
Industry experts agree that Data Migration poses the largest risk in any implementation. The findings are the same across platforms (SAP, Oracle, Workday, etc), infrastructure model (Cloud, On-Premise, Hybrid) and industry (ERP, HCM, MRP, etc). There are countless stories of implementations suffering delays, overruns, and even outright failure stemming from Data