data analytics Archives - trewanalytics.ca

CASE STUDY: Unmasking an online identity

Sometimes the answer is there if you dig deep enough. A false name and a false location was used to conceal the person behind an online harassment and extortion campaign. By comparing small inconsistencies across multiple profiles, we established the individual’s identity, traced them to their actual location, and preserved the evidence without alerting them to the investigation.

Turning the tide on cooking oil theft: How data analysis identified and stopped a costly loss

A food-waste refiner was losing thousands of litres of used cooking oil each month. Drivers arrived at restaurant bins only to find them empty, and growing financial losses threatened the company’s operations. An initial theory pointed to a rival competitor’s crews siphoning the grease, so our team coordinated surveillance on that competitor. After several nights without incident, it was clear they were not involved and we needed a new approach.

Shrinkage is a symptom, not the cause

Your inventory keeps disappearing. At what point does shrinkage become an investigation? Any time. Every unexplained loss points to a weakness that employees or members of the public may learn to exploit repeatedly. Identifying where, how and why inventory is disappearing allows the business to correct the root cause before a small loss becomes a much larger problem.

Data in plain sight: What the hidden patterns of daily life can tell us

Data is all around us, hidden in plain sight. Its the patterns of life which, when taken in context and overtime, offers a glimpse into untapped resources. It’s in the car that no longer leaves at 7:30, the colleague who suddenly stops copying leadership, the vendor who changes tone before missing a deadline. These are not random moments; they’re cues. Missed patterns become missed signals. And missed signals become missed opportunities. The information is there, moving quietly around us. The advantage lies in noticing what others overlook.

The cognitive divide: Why effort is not the same as insight

In professional investigations, activity is often mistaken for progress. Information is gathered, interviews are conducted, records are pulled, searches are run. All of the boxes are ticked off. Yet none of this, on its own, guarantees understanding. There is a material distinction between exposure to information and the disciplined analysis required to extract meaning from it. Without these elements, investigations risk becoming compilations rather than conclusions.

Winning by numbers: How data analytics is changing the game

Traditional investigation has always been activity-based: who went where, when, with whom, and what did they do. This method focuses on tracking movements and actions to reconstruct events, a process rooted in observation and physical evidence rather than digital insight. That focus is rapidly evolving into a data-driven discipline. Just as investigators now uncover patterns hidden within vast datasets, professional sports teams are harnessing the same analytical power to decode performance, predict outcomes, and gain a strategic edge over their competition.

Data-driven turnaround: How a cargo distributor slashed losses by 98%

When a national cargo distribution firm faced an alarming surge in missing shipments, executives feared that client trust and profit margins would collapse under the strain. Insurance premiums skyrocketed, and every delayed or lost pallet added pressure on operations teams scrambling for answers. What began as an overwhelming crisis ultimately became a showcase for how targeted data analysis and disciplined investigation can restore control.