When a Toxic Leader Derails an SAP Project

A 5-Step Playbook to Regain Control—Even When You Have No Authority

You check your inbox. Another email about the procurement delays.

You already know what it says. Your team is stuck.

As the project manager for Saption Consulting, the IT service provider leading the S/4HANA implementation at Uniqcorn Beverages, you’re responsible for ensuring smooth project execution. But now, a serious problem threatens to derail progress:

Consultants

The Chaos When Skipping Proper Onboarding

The Stress of Starting Without Guidance

I remember joining an SAP project where no onboarding process existed. No introductions, no guidance—just a vague expectation that I’d somehow “figure things out.”

Barely two weeks into my contract, I was suddenly asked to deliver a presentation on core master data for Supply Chain Management—to the end client, no less. Sounds straightforward? Not quite.

C-suite

The Data Migration Nightmare That Could Have Been Avoided

Introducing the concept of a Target Operating Model (TOM)

“Have you ever stepped into a project and immediately sensed disaster? That’s exactly what happened when I replaced someone who had burned out… only to realize I was on the same path.”

I walked into the project full of optimism, but that didn’t last long. My task? Deduplicate 10,000 business partner addresses.

The catch? Excel was the only tool.

Consultants

Data Cleaning for Beginners

Where Do You Start with Data Cleaning?

You’ve just been handed a dataset and told to clean it up before it can be used for reporting, analysis, or migration. There’s just one problem—you’ve never done this before.

Maybe you’re a project manager overseeing an IT system migration, and your team tells you the data needs cleaning before it can be loaded. Maybe you’re a data analyst trying to build a dashboard but keep running into errors because the numbers don’t add up. Or maybe you’re an SAP consultant working on an ERP implementation and hearing phrases like “deduplication,” “data validation,” and “standardisation” for the first time.

At this moment, you likely have a lot of questions:

What does ‘cleaning data’ actually mean?
How do I know what needs fixing?
What’s the right order to follow?
How do I avoid making the data worse?

If this sounds familiar, you’re in the right place.

C-suite

Achieving the Impossible

What SAP Professionals Can Learn from DeepSeek

When DeepSeek launched its breakthrough AI model, it sent shockwaves through the tech industry. A small, scrappy startup managed to dethrone giants like OpenAI, achieving the same performance at a fraction of the cost. What made DeepSeek so disruptive wasn’t just the technology—it was the radical approach: focusing on what mattered most and cutting out everything else. Their achievement raised a vital question: Do we overestimate the importance of size, resources, and complexity in achieving success?