Quebec SMEs now generate an impressive amount of data : sales, inventory, operations, schedules, customer history, production tracking, and much more. However, in many cases, this data remains underutilized. Too often, decisions are still made based on instinct, due to a lack of clear, structured, and relevant access to the available information.
Contrary to popular belief, transforming this data into concrete performance drivers does not require a major technological shift. Rather, the real starting point lies in a gradual and structured approach, which begins with the right business questions.
From intuition to informed decision-making: laying the right foundations
For many executives, digital transformation immediately brings to mind the implementation of new software or the integration of complex systems. However, it is entirely possible, and even recommended, to start with a much more down-to-earth approach. : What are the current challenges facing the company?What are the recurring operational irritants? Where are we wasting time or money unnecessarily ?
Before choosing a solution, you need to clearly define your needs. Here are some simple but effective tips to get you started:
- Evaluate the actual profitability of customers by comparing revenue generated and time invested.
- Identify the products or services that generate the highest profit margin.
- Measure the time associated with certain critical stages of business processes (e.g., order to delivery, submission to signature, intervention to resolution).
The goal is not to measure everything, but to quickly identify blind spots or points of friction that deserve closer monitoring.
Three signs that your data could be doing more
Here are some situations that we frequently observe in SMEs and that reveal concrete and rapid potential for improvement:
- You still rely on Excel to understand your figures.
Manually exporting data to generate reports or “see clearly” is a telltale sign. This usually means that the systems in place are not delivering the necessary information at the right time. - Your reports are manual, incomplete, or irregular.
Slow, person-dependent, or non-standardized reporting creates a high risk of errors and hinders the ability to make informed decisions. - Decisions are still based on gut feeling.
A leader’s intuition remains valuable. But without reliable indicators to validate it, certain strategic decisions may be based on partial or even erroneous impressions.
Prioritize a simple project with high impact
One of the most common mistakes is to aim too high, too quickly. However, a successful digital transformation rarely begins with a large-scale project. Instead, it starts with a targeted project that is aligned with a specific need and can generate tangible value quickly.
Here are some relevant examples of projects to start monetizing your data:
- Set up a dashboard summarizing a few key indicators (sales, margins, customer satisfaction).
- Automate the sending of alerts in the event of abnormal deviations (delays, unusual fluctuations, critical thresholds).
- Centralize critical data in a single shared tool to improve internal collaboration.
By starting with simple projects, you achieve two objectives: quickly demonstrate the value of data and promote the adoption of new practices across the organization.
Building a data-driven decision-making culture
Once the project has been launched, it is important to maintain momentum. This involves recognizing progress made, even if modest, and valuing team members who are actively involved in the process.
Appointing an internal “champion” is also a good practice. This person should be responsible, organized, curious, and comfortable with the tools, and should be able to stay on track, identify new needs, and promote gradual skill development. But for this role to be truly effective, it is essential that managers set aside dedicated time for it. This is not a task that can be added on top of everything else. Clear objectives must be set, technology monitoring encouraged, and, above all, the champion must be allowed to devote real time to the task.
By documenting what it has learned and applying the method to other issues, the company is consolidating a rigorous approach that is quickly becoming a competitive advantage.
Artificial intelligence: a tool, not an end in itself
Artificial intelligence (AI) is becoming increasingly accessible to SMEs. When integrated wisely, it can meet very specific needs:
- Anomaly detection (billing, sales, inventory)
- Optimization of prices or customer journeys
- Automated request analysis (e.g., email classification, bid request qualification)
But as with any technology, success is based on a simple principle : Start with a clear business problem, not a “trendy” technology. A well-defined, modest but relevant pilot project will validate the relevance of AI without disrupting the balance of the company.
Conclusion
Successful digital transformation does not require drastic measures, but rather a series of targeted adjustments guided by a clear understanding of business priorities. By asking the right questions, launching concrete projects, and involving their teams, SMEs can transform their data into a powerful lever for performance, engagement, and resilience.
The potential lies not in the amount of data you have, but in how you choose to use it.
By Julien Bigaouette
business analyst at CyberCat
