Your Data Migration
Increase Efficiency. Decrease Costs and Risks. Deliver Trusted Data.
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The Data Stewardship Platform (DSP®) from BackOffice Associates is built around our methodology that has been proven across thousands of successful data engagements.
It accelerates moves to new business systems while reducing the high costs and risks that are inherent to large complex migrations and delivering high quality data.
And it creates value long after the Go-live by preserving critical business and data knowledge that can be reused to accelerate future data initiatives.
- Orchestrate and track all end-to-end project activities from a single location.
- Gain complete visibility into all data movements and transformations.
- Give non-technical stakeholders simple views of active migrations from the cloud that showcase project status, risk, and quality indicators.
Reduce Costs & Risks
- Divide large, complex migrations into smaller, simpler units.
- Track changes for full traceability and auditing.
- Identify & resolve errors before the Go-Live by simulating data loads.
- Reduce staffing by automating the generation of code and reports, and orchestration of tasks.
- Complete more work in less time by orchestrating tasks across widely distributed project teams.
- Increase efficiency through concurrent cleansing, development and testing.
- Maximize performance by scheduling iterative data loads.
- Find sources of errors quickly through data lineage reports.
Deliver Trusted Data
- Capture data knowledge from both business and technical stakeholders.
- Enforce business rules for cleansed and harmonized legacy data.
- Review and validate migration changes to maintain project integrity.
- Attain value long after the Go-live with preserved data knowledge that can jump start future data initiatives.
Take the First Step towards Transformed Data
Data Assessments span nearly any industry and line of business
and include prebuilt knowledge, content and reporting to
quickly discern discrepancies, anomalies and errors in business data.
Find out what we discover in your data.