Visão geral
Drive your Oracle Cloud ERP migration with speed, precision, and confidence. Relying on workshops or legacy documentation often leaves blind spots, especially with years of EBS customizations. mindzie’s process mining gives you end to end visibility into how work actually happens across order to cash, procure to pay, financials, projects, manufacturing, and more. With a shared, data driven baseline, teams identify inefficiencies, prioritize high value fixes, and align on a pragmatic roadmap that reduces risk, cost, and time to value.
The approach
Five stages of a data driven EBS to Cloud migration
Understand your as is EBS landscape
Start with a factual view of today’s EBS processes, not the way they are supposed to run. Visualize real flows and variants across OM, AR, AP, PO, INV, WIP, GL, and Projects, benchmark with prebuilt KPIs such as cycle times, rework rates, manual touches, maverick buying, payment term leakage, and delivery timing, surface process debt, and quantify business impact.
Simplify and standardize for Oracle Cloud
Oracle Cloud favors configuration over code. Retire or replace EBS customizations by proving what is unused or low value, harmonize process variants across regions and business units, right size integrations and extensions (APEX, OIC, reports), and prepare data and the chart of accounts using factual usage patterns.
Mitigate risks
Attack migration risks with evidence instead of assumptions: catch compliance and segregation of duties hot spots such as manual price overrides, three way match exceptions, and duplicate invoices, identify change management trouble spots, and reconcile mined event data with conversion plans and cutover steps.
Build a targeted migration roadmap
Prioritize high return, low risk waves based on effort versus value, allocate resources with interactive dashboards tied to KPIs and owners, define acceptance criteria for each wave, and track readiness continuously from design through CRP and UAT to cutover.
Optimize continuously after go live
Monitor key processes in real time to spot regressions and adoption gaps, prove ROI by tracking before and after KPIs and converting gains into dollars, find automation candidates, and institutionalize continuous improvement with role based views for operations, finance, and IT.
Case study
A global services company retires the guesswork
Challenges. A global services company planned to migrate from Oracle EBS to Oracle Cloud ERP. Years of bespoke workflows and bolt ons obscured how processes truly ran. Duplicate suppliers, inconsistent approval paths, and invoice exceptions caused delays and reduced early payment discounts. The team lacked evidence to decide which custom objects, reports, and integrations to retire.
Approach. mindzie connected to EBS modules for order to cash, procure to pay, and record to report, ingesting event logs and key attributes across orders, deliveries, receipts, invoices, and journals. Process mining mapped end to end flows, quantified rework and manual steps, flagged unused customizations, and modeled proposed Cloud approval and matching rules. A fact based roadmap prioritized standardization, data cleansing, and extension minimization.
44% of AP invoices on non standard paths
28% required rework due to missing purchase order or receipt data.
31% of custom reports and interfaces unused
No usage in the previous 12 months, making them candidates for retirement before migration.
More than 220 order to cash variants
Across regions, just 7 variants covered 82% of volume.
$1.2M in payment term leakage
Lost discounts every year from payment terms not being honored.
Outcomes. An 18 to 25% reduction in migration scope by retiring low value customizations and reports, a 2 to 4 month acceleration of the project timeline through earlier design convergence, $2 to 4M in projected annual benefits from terms adherence, fewer expedites, and touchless processing, and live control panels established after go live to sustain the improvements.
Post migration advantages. With Oracle Cloud live, mining continues to track adoption, spotlight new bottlenecks, and validate controls such as three way match, approvals, and credit exposure. The team uses weekly KPI reviews to prioritize automations and maintain compliance while expanding to projects and manufacturing.
The outcome
A data driven EBS to Cloud migration replaces guesswork with transparency. By mining real execution data, you can simplify designs, retire unnecessary customizations, de risk cutover, and sustain value after go live. mindzie’s process mining aligns stakeholders around facts and measurable outcomes, accelerating timelines while improving quality and compliance.
