CAPABILITY MODEL

Executive breadth.Operational depth.

Five disciplines work as one system across SAP and non-SAP data: shaping direction, governing enterprise information, assuring delivery, modernizing platforms, enabling analytics and AI, and proving the business can operate.

THE MIGRATIONIQ POINT OF VIEW

Transformation fails in the seams between disciplines.

Strategy can be elegant while delivery drifts. Governance can be documented while decisions remain ownerless. Technology can be live while operations are not ready. MigrationIQ works across those seams—without losing the detail required to close them.

01STRATEGY

Enterprise Data & AI Strategy

Turn enterprise data ambition into a governed portfolio spanning domains, platforms, products, analytics, AI and measurable business outcomes.

A strategy leaders can fund and operators can execute

Executive questions

  • Which business outcomes require better data first?
  • Where should ownership sit across domains and functions?
  • What should be sequenced now, next, and later?

What we deliver

  • Enterprise data and AI ambition
  • Domain and data-product strategy
  • Operating model and decision rights
  • Investment roadmap and value measures
02ASSURANCE

SAP Transformation Assurance

Give sponsors an independent line of sight across design decisions, data, testing, cutover, stabilization, and delivery risk.

Executive control over transformation risk

Executive questions

  • Are critical design decisions truly closed?
  • Will the business be operationally ready on day one?
  • Where is activity masking unresolved risk?

What we deliver

  • Program health and readiness baseline
  • Design-decision and dependency governance
  • Migration, test, and cutover assurance
  • Recovery plan and executive decision cadence
03GOVERNANCE

Governance, Quality & Master Data

Build accountability around the information that runs the enterprise, with SAP MDG as an enabler—not the definition of governance.

Ownership and controls that survive go-live

Executive questions

  • Who owns enterprise versus local data decisions?
  • What requires harmonization, and what may remain different?
  • How will quality be measured and enforced in the process?

What we deliver

  • Domain ownership and stewardship model
  • Critical data and quality-control framework
  • Harmonization and policy decisions
  • SAP MDG process, workflow, and control alignment
04ARCHITECTURE

Enterprise Data Platforms, Analytics & AI

Connect SAP and non-SAP information through SAP Business Data Cloud, Datasphere and modern cloud platforms—preserving business semantics, lineage and controls so analytics and AI can trust what they consume.

A usable data foundation—not another platform diagram

Executive questions

  • Where should trusted enterprise meaning be established?
  • How will SAP and non-SAP data work as one estate?
  • What evidence is required before AI can act?

What we deliver

  • Target data and semantic architecture
  • Data-product and interoperability model
  • SAP BDC and Datasphere integration, modeling, and adoption roadmap
  • AI/ML-ready pipelines, transformation, quality, lineage, and control requirements
  • Interoperability strategy spanning Microsoft Fabric, Databricks, Snowflake, and cloud-native data services

SAP BUSINESS DATA CLOUD DELIVERY

From SAP business data
to AI-ready data products.

MigrationIQ combines 25+ years across SAP, enterprise data, analytics, and transformation with current SAP Business Data Cloud certification and hands-on Datasphere depth. The work connects architecture to delivery: integrating sources, modeling business meaning, engineering trusted pipelines, and preparing governed enterprise data for analytics and AI/ML use cases.

25+ years SAP & enterprise dataSAP Certified BDC Data ArchitectEnd-to-end architecture through activation
01

BDC architecture & adoption

Translate SAP Business Data Cloud capabilities into a target architecture, governed data-product model, operating approach, and sequenced delivery roadmap.

02

Datasphere integration & modeling

Integrate SAP and non-SAP sources, create business and analytical models, and preserve the semantics, security, lineage, and context behind the data.

03

Data pipelines & transformation

Design ingestion, transformation, quality, reconciliation, and publication pipelines that prepare enterprise data for reliable downstream use.

04

AI/ML & analytics enablement

Connect governed SAP data to modern AI/ML and analytics platforms with trusted inputs, explainable definitions, traceability, and human controls.

05

Stakeholder-led delivery

Align business, SAP, data engineering, analytics, and data science teams around use cases, mappings, acceptance criteria, ownership, and measurable outcomes.

Delivery positioning reflects current SAP BDC architecture and certification, supported by deep experience across SAP data, Datasphere, integration, analytics, governance, and AI enablement.

WHERE THE MODEL LANDS

Business concern to decision evidence.

The value is not in naming a capability. It is in showing how that capability changes a decision, a control, or an operating outcome.

LEADERSHIP CONCERNMIGRATIONIQ RESPONSEDECISION EVIDENCE
Growth and operating-model changeData & AI strategy

Prioritized domains, investments, ownership, and value measures

ERP transformation riskSAP assurance

Decision closure, readiness trajectory, cutover and stabilization control

Fragmented enterprise informationGovernance & quality

Standards, stewardship, controls, and accountable forums

Disconnected platforms and analyticsData architecture

Trusted products, semantics, lineage, and interoperability

Plant and supply executionPlan-to-Produce

Operational dependencies and business sign-off

MANUFACTURING / PLAN-TO-PRODUCE

The core process anchor.

A single material can connect product definition, planning, procurement, production, quality, cost, inventory, and fulfillment. Readiness is the integrity of that chain—not the existence of individual records.

01Demand
02Plan
03Source
04Make
05Inspect
06Cost
07Stock
08Deliver
FOUNDATIONMaterial · Plant · Units · Classification

The information every downstream process assumes is correct.

MAKEBOM · Routing · Work center · Production version

The structures required to turn demand into executable production.

SUPPLYMRP · Source list · PIR · Supplier / Business Partner

The conditions required to plan and obtain supply.

CONTROLQuality · Batch · Cost · Inventory status

The controls that determine whether output is usable, valued, and available.

See the capability in practice

START WITH THE REAL DECISION

Choose the decision you need to make. We will build the evidence around it.

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