The transformation lacks executive control
Workstreams report progress, but sponsors cannot see the decisions, dependencies, or evidence behind the status.
ENTERPRISE DATA TRANSFORMATION
MigrationIQ helps enterprise leaders architect, govern, migrate, integrate and modernize data across SAP and non-SAP applications, cloud data platforms, lakes, warehouses and analytics ecosystems—so transformation, reporting and AI run on trusted foundations.
MigrationIQ operates where strategy, enterprise data, SAP delivery, and business operations meet.
PROBLEMS WE SOLVE
We enter where executive ambition, operating reality, and delivery evidence have separated. The goal is not more reporting. It is faster, better, defensible decisions.
Workstreams report progress, but sponsors cannot see the decisions, dependencies, or evidence behind the status.
Customer, supplier, material, and finance decisions cross functions, regions, platforms, and business units without one accountable path.
Loads and tests complete while plants still cannot plan, source, make, cost, inspect, or fulfill reliably.
Technology is in place, but product ownership, semantic authority, quality controls, and adoption remain unresolved.
Use cases advance before data quality, lineage, governance, human oversight, and decision accountability are ready.
FIVE EXECUTIVE CAPABILITIES
Migration is a proven entry point—not the boundary. MigrationIQ connects strategy, assurance, governance, architecture, AI, and operational process depth.
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 executeGive sponsors an independent line of sight across design decisions, data, testing, cutover, stabilization, and delivery risk.
Executive control over transformation riskBuild 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-liveConnect 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 diagramTranslate data and system decisions into the ability to plan, source, make, inspect, cost, stock, and deliver at plant level.
Plants that can execute—not merely transactCORE PROCESS DEPTH
Manufacturing / Plan-to-Produce is the operating anchor. We trace enterprise decisions through the information and dependencies required to execute them inside the business.
See the manufacturing capabilityMIGRATIONIQ INTELLECTUAL CAPITAL
Our frameworks accelerate diagnosis and create consistency without forcing every enterprise into the same answer.
A leadership view across strategy, operating model, architecture, trust, delivery, adoption, and measurable value.
Prioritize investmentMaps the data and process chain from material foundation through planning, sourcing, production, quality, cost, stock, and fulfillment.
Expose hidden operational riskDefines domain accountability, decision rights, stewardship, policy, forums, metrics, and enabling workflow across the enterprise.
Make ownership executableTests whether priority use cases have trusted inputs, clear controls, accountable owners, and a safe path from insight to action.
Scale AI with controlConverts workstream detail into decision-ready evidence: trajectory, blockers, choices, owners, deadlines, and consequences.
Accelerate decision closureTRANSFORMATION EVIDENCE
Leadership gained a defensible path from technical load results to operational sign-off, with blockers visible across material, BOM, routing, sourcing, costing, quality, batch, and inventory.
The team could distinguish loadable records from operational risk, focus remediation on root causes, and move critical production objects through a clearer readiness gate.
Stakeholders gained a business-led decision structure that separated enterprise standards from legitimate local variation and positioned MDG as an enabling control layer.
Representative experience is anonymized. No client-confidential information is disclosed.
WAYS TO ENGAGE
Each engagement is designed to leave leadership with clearer choices, accountable ownership, and usable evidence.
When leadership needs a fast, independent view of where risk and value really sit.
When data, governance, architecture, SAP, and AI priorities need one executable direction.
When a workstream is behind, status is disputed, or the next milestone is exposed.
When the organization needs senior direction without waiting for a permanent executive hire.
FOUNDER & TRANSFORMATION LEAD
years across enterprise transformation, SAP, data, and business operations
FAIQ KHAN · ENTERPRISE TRANSFORMATION & DATA LEADER
Executive perspective is only useful when it can survive contact with operational detail.
Faiq Khan brings together transformation leadership, enterprise data strategy, governance, architecture, SAP delivery, AI readiness, and deep Manufacturing / Plan-to-Produce context. He can translate a board-level question into the owners, controls, process dependencies, and evidence required to answer it—and bring the consequence back to leadership in plain business language.
EXECUTIVE INSIGHTS
A status color reports activity. Readiness requires evidence that the business can execute its most important outcomes after cutover.
Workflow can enforce a decision, but it cannot decide who owns the standard, which variation is valid, or how value will be measured.
The first question is not which model to use. It is whether the enterprise can trust, govern, and take responsibility for AI-enabled action.
START WITH THE REAL DECISION