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MARWAN ALKATEB / INTERACTIVE PORTFOLIOBUSINESS · DATA · PEOPLE

The Decision Room.

Step into a situation. Make a choice. Discover how I think.

Four decisions.
One connected plan.
ILLUSTRATIVE CHALLENGE

Logistics costs are above forecast. Finance and Operations need a shared view of volume, rates, storage and timing before choosing an action.

01
Clarity

Where would you begin?

Transport and warehouse spending increased, but Finance and Operations use different totals. Shipment volumes changed and some supplier invoices have not arrived.

The situations are illustrative. The experience and methods behind them come from my finance, operations and transformation work.

01 / THE EXPERIENCEWHAT I BRING INTO THE ROOM

There is real work
behind the questions.

My depth combines business control and finance partnering with transformation delivery: closing, forecasting, business cases and process improvement, supported by ERP data, Power BI, Microsoft Copilot and Power Platform.

Finance & operationsERP & business dataProcess improvementStakeholder alignmentPractical AI

Business understanding that reaches across disciplines.
Depth in turning change into daily work.

01 / DELIVERY EXPERIENCE

Europastry

ERP & Finance Operations Continuous Improvement Lead
May 2024–present · Netherlands

I connect orders, materials, inventory, production, delivery, invoicing, reconciliation and reporting through SAP and Oracle JDE, contributing to ongoing and completed transformation projects across three Dutch plants.

3Dutch plants
11People in the operating team
Open the delivery notebook+

From records to useful information

I connect Oracle JDE, operational records, Power Query and Power BI to support P&L reviews, month-end reporting and variance analysis. Clear definitions, reconciliations and ownership make the numbers easier to trust and explain.

Ownership in everyday work

I map procure-to-pay, order-to-cash and record-to-report, clarifying owners, controls, handovers, exceptions and KPIs. 5S helps organise invoice records and financial information alongside the process itself.

Following the impact

Connecting JDE, operational data, Power Query, Power BI and clear control responsibilities shortened the reporting cycle by three working days. Customer-product profitability and cost-to-serve analyses supported targeted actions and contributed to a 2.4 percentage-point margin improvement for selected customer-product combinations.

Practical AI

I use Microsoft Copilot and Power Platform, including Power Apps and Copilot Studio, in practical AI applications for analysis, workflow documentation and decision support. I check outputs against source information and keep decision ownership clear.

02 / DELIVERY EXPERIENCE

Yıldız Holding–Ülker

Strategy & Operations Manager
January 2020–August 2023 · Türkiye

I translated organisational priorities into business cases, transformation workstreams and implementation plans, connecting direction with the people responsible for delivering it.

“A direction.
An owner.
A way to review the change.”
Open the delivery notebook+

Evidence for the business case

Budgets, rolling forecasts and SAP S/4HANA reporting connected volume, price, mix, inventory and distribution costs with business decisions. Power BI, workshops and clear KPI ownership helped teams understand the drivers and follow through on actions.

Governance and operating models

I developed decision rights, process accountability and KPI ownership with finance leaders and process owners, connecting management visibility with responsibility.

Implementation and adoption

I combined Power BI evidence, stakeholder input, process mapping and root-cause analysis to guide implementation and management decisions. I coordinated cross-functional delivery, reviewed outputs and supported adoption.

The foundations I still return to+

F&N, Malaysia. I worked with Finance, Procurement, Production, Warehousing and Distribution on standard versus actual costs, inventory reconciliation and month-end reporting in SAP ECC. Yield, waste, freight, service and working capital connected the financial picture with everyday operations.

Nestlé, Malaysia. An operations internship followed by part-time improvement work during my studies, building daily-management and standard-work habits.

Toyota operations, Misurata. A one-year Toyota Production System placement during 2010–2011, before activities were interrupted in 2011.

Al Naseem, Libya. Part-time production work, quality checks, materials and handovers—the frontline foundation for understanding operational performance.

02 / THE ARCHITECTUREAN INTERACTIVE DESIGN PROPOSAL

Follow a record.
Find the decision.

This proposal extends the source-data-to-Power-BI approach I use in delivery. Explore the layers and the questions I would ask with technical specialists.

LAYER 01 / SAP · ORACLE JDE · BUSINESS RECORDS

What does one record actually represent?

Retain the source system, legal entity, document or line identifier, relevant dates and unit of measure. Define invoice-line and stock-movement grain separately.

A record you can trace and explain.
Across every layerOwnershipAccessLineageQualityMonitoringCost

The platform follows the problem.

These options overlap. I would compare them against the same business and technical requirements with the architect.

ROLE IN MY PROPOSAL

An integrated analytics option

My portfolio considers OneLake with ingestion and engineering capabilities, followed by a governed semantic model and Power BI.

WHAT I WOULD ASSESS

Fit with the Microsoft environment, available skills, data access, reporting requirements and capacity use.

Ownership, access and traceability+

Agree domain owners, stewards, critical fields, definitions and quality rules. Specify role-based access, service identities, source-to-report lineage and audit needs. Catalog visibility and access to the source data need separate attention.

Unity Catalog and Microsoft Purview are part of my governance learning and architecture discussions, with their role assessed against the organisation’s data environment.

Reliability, cost and AI evaluation+

Agree refresh needs, monitoring, incident ownership, restart behaviour, environments and release controls. Review capacity and compute use alongside the business value.

A predictive use case would need a defined target, suitable history, evaluation criteria and monitoring. Reusable model inputs or a feature store would be considered where the workload justifies them.

My contribution is to establish the business objective and value, lead stakeholder alignment, organise requirements and dependencies, and keep acceptance and adoption in view. Architects and engineers shape and implement the technical design with me.

03 / THE FIRST ASSIGNMENTA PROPOSED 90-DAY APPROACH

Move the plan
into the room.

Explore how I would structure an initial assignment with business and technical colleagues.

THE FOCUS

Understand before committing.

Explore the objective, process, data environment, stakeholders and constraints. Agree one priority use case.

Which decision should this assignment help improve?
REVIEWABLE OUTPUTS
  • Problem statement and current-state map
  • Stakeholder map and baseline
  • Scoped requirements
04 / STILL BECOMINGEXPERIENCE + CONTINUED LEARNING

The next layer
is still being built.

My current development extends into Fabric, Databricks and Snowflake: pipelines, lakehouse layers, semantic models, governance and AI enablement.

Earned · 21 September 2026

Microsoft Applied Skills

Implement a Real-Time Intelligence solution with Microsoft Fabric

Assessment passed · 100%

Verify Microsoft credential
COMPLETED · 9 SEPTEMBER 2026

Analytics Fundamentals

Databricks Academy · Course completion

Open certificate
Databricks Academy Analytics Fundamentals course completion certificate for Marwan Alkateb, 9 September 2026
COMPLETED · 9 SEPTEMBER 2026

AI Agent Fundamentals

Databricks Academy · Course completion

Open certificate
Databricks Academy AI Agent Fundamentals course completion certificate for Marwan Alkateb, 9 September 2026
IN PROGRESS
SEPTEMBER 2026

Microsoft Fabric · DP-700 preparation

Preparing for Fabric Data Engineer Associate, with exam registration in progress. I have started Microsoft Learn’s Dataflows Gen2 ingestion module. A KPMG Power Apps workshop with Andreas and his team also connected Copilot Studio and AI agents with my daily improvement work.

My Microsoft Learn profile
THERE’S MORE TO ME THAN THE WORK.

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