70% of SAP data migration projects fail due to poor data quality. VUPICO’s Data Analytics Platform replaces fragmented tools, manual handoffs and email approvals with one AI-powered platform — intelligent, governed and built to learn your business. Meet the VUPICO team at SAP Sapphire 2026 in Orlando and see Vupi AI in action.
Across every dimension of a data migration — team size, timelines, tooling, quality and governance — VUPICO delivers measurably better results.
Most teams don’t discover the true state of their data until they’re deep into a migration. Duplicates, blanks, anomalies and format violations sit undetected until they surface in a mock cycle — or worse, after go-live when fixing them is costly and disruptive.
Business logic for what makes data valid — accepted formats, mandatory fields, relationship rules — exists informally across teams. There’s no system enforcing it, no consistency across data objects, and no way to validate incoming data against it automatically.
Migration rules, transformation decisions and sign-off rationale live in inboxes, spreadsheets and the memory of people who may have moved on. When the project closes, the institutional knowledge closes with it — leaving governance and maintenance without a foundation.
Getting answers about your data means knowing who to ask. Which rule applies here? Why was this record rejected? What does this field map to? When the answer lives with one person, every question creates a bottleneck — and every departure creates a gap.
The reality of SAP migration today
VUPICO customers complete their migration in 1 cycle. No rework. No surprises at go-live.
VUPICO DAP isn’t just a migration tool. It’s an AI-powered data intelligence platform that learns your business, validates your data and answers your questions — before, during and after go-live.
Vupi AI automates the heavy lifting of data preparation. Intelligent profiling surfaces volume, blanks and duplicates the moment data enters the platform. Fuzzy logic de-duplication identifies near-matches that exact matching misses. Anomaly detection flags records that fall outside expected patterns — before they reach your target system.
The system learns the data rules that matter to your organisation — field formats, valid value ranges, mandatory relationships, business-specific logic. Every record is validated automatically on entry. When a violation is detected, you have two paths: fix it manually with full visibility of the broken rule, or let Vupi AI suggest and apply a fix — trained on your own business standards, not generic logic.
DAP becomes the permanent home for everything that defines how your organisation’s master data works — business rules, transformation logic, validation criteria, migration documents and sign-off history. When rules need updating, auditors need answers, or new team members need context, it’s all in one place. Post-migration governance becomes a structured process, not a knowledge archaeology exercise.
Ask Vupi AI anything about your data. Where does this field map to? Why was this record flagged? What transformation rule applies here? Vupi AI provides instant, contextual answers drawn from your actual migration documents, business rules and data — reducing dependency on key people and accelerating every stage of the project.
What changes with VUPICO
Dimension
Traditional migration
VUPICO DAP
Team size
Multiple separate ETL teams with fragmented ownership
50%+ team reduction — business owners embedded in every step
Mock cycles
Average 3 mocks + production, growing volume each round
One full cycle + delta data only for every succeeding cycle
Technology
LSMW, BAPI, manual scripts — IT-dependent and brittle
Single AI-assisted platform — drag-and-drop pipelines, no ABAP required
Transformation
Manual field mapping in spreadsheets, IT change process for updates
Plain-English rules → Vupi AI generates syntax automatically, changes in minutes
Data quality
Issues discovered post-load, expensive and slow to fix
Pre-load violation detection with AI-suggested fixes — bulk or individual
Governance
Email-based approvals, no audit trail, business excluded
Built-in workflow with formal sign-off at every step — full audit trail
Traditional
Multiple separate ETL teams with fragmented ownership
VUPICO DAP
50%+ team reduction — business owners embedded in every step
Traditional
Average 3 mocks + production, growing volume each round
VUPICO DAP
One full cycle + delta data only for every succeeding cycle
Traditional
LSMW, BAPI, manual scripts — IT-dependent and brittle
VUPICO DAP
Single AI-assisted platform — drag-and-drop pipelines, no ABAP required
Meet the team
We’ll be on the floor in Orlando. Book a meeting with us and see the Data Analytics Platform in action.
Simon Vukojevic
Founder & CEO
Team Member
SAP Data Migration Lead
Team Member
MDaaS & Governance Specialist
Team Member
SAP BI & Analytics Lead
Team Member
Sustainability Data Platform
Book a meeting
Fill in the form below and we'll confirm a time to meet you on the floor in Orlando.
We'll reply within 24 hours to confirm your meeting time. Event: May 11–13, 2026 · Orlando, Florida