Chapter 2: Analytics That Matter: Turning Data into Actionable Insights

We Have All This Data, but None of It Is Reliable 

The week after her first strategy session with Pentos, Alex sat down with her HR systems and Data & Analytics leads at QwinWork to go through the company’s reporting capabilities. 

“We have all this data,” the lead admitted, “but none of it is reliable.” 

Alex wasn’t surprised. The deeper she looked, the clearer it became: analytics wasn’t the real issue, data was. Job titles were inconsistent. Records were duplicated. Skills were scattered in spreadsheets. Half of the factory workforce data wasn’t even in SAP SuccessFactors. 

“No wonder we can’t run workforce planning,” she thought. “We’re making decisions in the dark.” 

This wasn’t just a technical inconvenience. It exposed something more fundamental: QwinWork was trying to steer its people strategy without a clear picture of its workforce. Every leadership conversation about future skills, automation, or headcount planning ended up in guesswork. For a company dealing with fast-changing production technology and increasing customer demand, that was a serious business risk. 

Another layer of the problem became visible: data on contingent workers and external contractors was missing altogether. They made up a significant part of QwinWork’s operations yet were invisible in most reports. To be truly future-ready, the company needed to see and manage its entire workforce as one, including employees, external talent, and even digital roles that were starting to emerge. 

Yet expectations were high. The board wanted predictive dashboards. The COO asked for retirement and reskilling models. The CFO pushed for skills-based FTE forecasting. Alex could feel the pressure mounting, but she also recognized that this was her moment to lead. Taking ownership of the data challenge meant unlocking strategic insights and paving the way for a workforce ready to meet the future. 

Facing the Data Reality

Pentos helped Alex and her team break things down. The problem wasn’t a lack of data. The problem was a lack of decision-ready data. 

Their diagnostic revealed: 

• Over 40% of position data was outdated or not linked to the right employees 

• Factory job roles were copied from old templates 

• Skills were defined inconsistently and often managed outside the system 

• Organizational changes weren’t updated in real time 

• GDPR compliance was uncertain at best 

Behind every one of these findings was a simple truth: decisions made on unreliable data could easily lead to misplaced investments, compliance risks, and missed opportunities for internal mobility. The leadership team expected insights they could act on, but the foundation wasn’t strong enough to support that level of trust. 

Alex realized this wasn’t just her problem. Many organizations try to jump straight into analytics and AI without a solid foundation. But if the data can’t be trusted, every insight becomes a gamble. 

The Long-Term View: What Are We Building This For? 

What shifted the conversation was a simple question Pentos asked Alex’s leadership team: 
“What decisions are you trying to enable with data?” 

That question reframed everything. Instead of chasing dashboards, the focus moved to real outcomes: 

• Can we identify the skills we’ll need three years from now? 

• Can we assess current supply and training needs?   

• How can we close gaps to build a future-ready workforce? 

• Can we align internal mobility with our business growth areas? 

This was the turning point. The team stopped viewing data as a reporting requirement and started seeing it as the foundation for business resilience. Reliable, connected data wasn’t just about compliance or efficiency; it was the key to making smarter, faster, and fairer workforce decisions that supported QwinWork’s long-term competitiveness. 
 

It became clear that what they needed wasn’t just data cleanup. They needed a strategic data foundation, not only to meet GDPR requirements and prepare for AI, but to make strategic workforce planning possible. 

And that foundation had to be: 

• Built on a clear job and skill architecture 

• Reliable for both factory and office roles 

• Aligned with EU directives and jurisdiction, including the EU Pay Transparency Directive 

• In compliance with Works Council agreements and GDPR 

• Actionable within SAP SuccessFactors 

The Workforce Planning Shift 

Guided by the Pentos Model, Alex kicked off a focused but strategic data project: 

• Defined which metrics mattered most, and why 

• Cleaned and updated position data in SAP SuccessFactors 

• Mapped critical business roles and emerging skill needs 

• Set governance rules for collecting and updating skill data, especially for factory roles 

• Involved the Works Council early to ensure compliance and transparency 

The real progress came from connecting every technical activity back to a business question: what decision will this enable? Each data improvement now had a clear purpose, whether it was enabling fairer pay analysis, supporting career mobility, or forecasting critical skill shortages. 

What once felt overwhelming was now broken into manageable steps, each linked to business outcomes. Analytics and AI would need to wait for the moment. For now, they had something far more valuable: data they could trust. 

Alex’s Insight: You Don’t Need Perfect Data. You Need Purposeful Data 

That month, Alex stood in front of the leadership team with a new strategic workforce planning concept. It was based on reliable data, aligned with QwinWork’s business strategy, and built within SAP SuccessFactors. 

AI not yet. Just structure, clarity, and trust. 

For the first time, she saw heads nodding around the room. Leaders could finally connect data to their business priorities. They saw that strong foundations in HR systems were not about technology for its own sake, but about ensuring the company could make better decisions in uncertain times. 

What Changed for Alex 

Alex didn’t leave with “a tool.” She left with a blueprint: a way to connect strategy, skills, data, and technology into one coherent story, so HR can lead, not chase. 

Coming Up Next 

In the next blog, Alex digs deeper into job architecture and skills, the invisible layer behind strategic workforce planning, internal mobility, and talent intelligence. She’ll face new questions from the Works Council and discover how a solid job and skill framework creates alignment, fairness, and adaptability. 

From Job Titles to Skills – Alex Faces the Job & Skill Architecture Dilemma  

Read Alex’ story from the beginning 

Explore Further

Explore Pay Transparency in Practice   A checklist and implementation sample  

If you are running business in EU, here is the reality: EU Pay Transparency Directive goes live soon. It’s not optional. Strategic data foundation has to be aligned with EU directives and jurisdiction, including the EU Pay Transparency Directive. 

Download our whitepaper and get a clear, actionable path forward with a step-by-step checklist and implementation guidance. 

This article is based on a fictional scenario created to illustrate common challenges and approaches in People & Culture transformation. 

Looking for more insights from Pentos Blogs & Events?