Solution Delivers Simplified Scope, Faster Time to Value and Lower TCO
Utopia Global, Inc., a leading software and consulting company for end-to-end data quality, data migration, and data governance solutions announced the launch of the Utopia Data Governance Accelerator™ (uDGA™).
uDGA dramatically reduces overall time and cost for SAP Master Data Governance implementations on-premise, or in the cloud, by delivering required industry standard, ready-to-use, preconfigured content in an extensive bundled offering. As a result, customers can expect a 40% reduction in implementation timelines and costs and the benefit of a live SAP MDG solution in as little as 12 weeks.
The pre-configured content has been curated and mined from 16 years of successful data transformation experience across industries in SAP and non-SAP environments. uDGA includes:
- 200+ ready-to-use business rules and workflows across data domains
- Pre-built taxonomies for MRO materials and equipment (ISO14224 compliant)
- Access to Utopia’s Asset Data Reference library for standardized, enriched content for equipment and MRO materials
- Easy-to-use software to simplify mass upload and data quality remediation
- Industry specific content across multiple verticals
uDGA Cloud Edition™ further simplifies and accelerates deployment with a flexible subscription-based pricing model that includes provisioning, automated configuration and hosting.
“Our customers told us they wanted simplified scope, faster implementation times and lower overall cost when deploying SAP Master Data Governance solutions,” said Arvind J. Singh, Chairman and CEO of Utopia Global, Inc. “With uDGA, we delivered on all counts and took the heavy lifting out of SAP MDG projects so that our customers can instead focus on rolling out business initiatives like SAP S/4HANA and predictive analytics that rely on high-integrity data to fuel the promise of the intelligent enterprise.”
uDGA expands Utopia’s growing portfolio of smarter data management solutions leveraging state-of-the-art technology and machine learning capabilities to find, fix, and sustain critical enterprise data.