Excel at Work: A Strategic Tool Too Often Underutilized

Most employees only leverage a fraction of Excel’s capabilities, hampered by the lack of structured training. Yet, for teams who wish to pursue an Excel training, tailored programs for all levels enable moving from basic usage to real mastery of the tool.

Excel, a Quiet Pillar of Information Systems

A Tool That Withstands Every Transformation

For more than three decades, Excel has endured through all technological cycles. BI tools have proliferated, data-visualization platforms have gained traction, ERP systems have absorbed a portion of the tasks that used to be done manually. And yet Excel remains, at the end of the chain or as a complement to all these systems. In IT environments, it is used to produce ad hoc dashboards, to consolidate HRIS or CMDB exports, to model capacities or infrastructure costs. Its flexibility and accessibility make it a hard tool to dislodge, even in the most heavily equipped environments.

The Gap Between Actual Use and Potential

The problem isn’t Excel itself, but the way it is used. A large share of users, including technically oriented profiles, stop at basic features: data entry, filters, simple formulas, formatting. The advanced features, Power Query for automating data imports, PivotTables for multidimensional analysis, VBA macros for automating repetitive tasks, remain largely unknown or poorly mastered. This gap translates into hours wasted on manual manipulations that could be automated with just a few lines of code or a few clicks.

What a Structured Upskilling Brings

From Manipulation to Analysis

Mastering PivotTables transforms how data is analyzed. In a matter of seconds, a raw data volume becomes a synthetic table that can be segmented, filtered, and pivoted along the desired analysis axes. For an IT project manager overseeing an application portfolio or monitoring cloud resource consumption, this capability represents a direct, measurable operational gain.

Power Query: Data Automation Without Coding

Power Query is one of Excel’s most powerful features for non-developer profiles. It allows importing, cleaning, and transforming data from multiple sources—CSV files, databases, APIs—in a reproducible and code-free way. Once the query is configured, refreshing the data is a one-click operation. For IT teams that regularly handle log exports, tickets, or inventories, it’s a substantial lever for efficiency.

VBA: Automating Repetitive Tasks

VBA macros enable automating sequences of repetitive actions: weekly report generation, automatic formatting of files received from third parties, sending formatted data to other tools. While not development in the strict sense, VBA introduces a programmatic logic that speaks naturally to IT profiles. Often just a few dozen lines are enough to eliminate several hours of manual processing per week.

Training, the Skills Upskilling Accelerator

Moving Beyond Self-Directed Learning

Many employees learned Excel on the job, patching together the formulas they needed, without ever gaining a holistic view of the tool. This approach yields fragmented knowledge and practices that are often inefficient. A structured training course resets the fundamentals, fills the gaps, and introduces advanced features in a logical sequence that makes learning and retention easier.

A Rapid Return on Investment

Unlike many technical trainings, Excel upskilling yields tangible results very quickly. Participants can apply what they learned the very next day to their own files within their business context. For an IT leadership team focused on operational efficiency, this represents one of the training investments with the best cost-benefit ratio.

Dawn Liphardt

Dawn Liphardt

I'm Dawn Liphardt, the founder and lead writer of this publication. With a background in philosophy and a deep interest in the social impact of technology, I started this platform to explore how innovation shapes — and sometimes disrupts — the world we live in. My work focuses on critical, human-centered storytelling at the frontier of artificial intelligence and emerging tech.