Data-Driven Decision Making: What if the data isn’t high-quality?

Have you ever made a decision because the numbers told you to, only to find out it wasn’t the right call? You’re not alone. Here, we’ll walk through why high-quality data matters so much in logistics operations — and why we believe it’s the heart of success.

What exactly is high-quality data? How is it used? What’s its purpose? These are probably some of the questions on your mind. After more than 20 years of experience, here are the answers we’ve arrived at.

High-quality data in logistics means information that is accurate, complete, consistent, reliable, and current. This includes order data (order number, delivery date, delivery address), transport data (vehicle type, load capacity, license plates, truck driver data), tracking and monitoring data (real-time location, cargo status, estimated delivery date and time), cost data (transport, storage, or handling), and customer satisfaction data (satisfaction levels, service quality), among others.

A range of tools and technologies can help you maintain high-quality data across specific areas of the supply chain — Warehouse Management Systems (WMS), Transportation Management Systems (TMS), Real-Time Transportation Visibility Platforms, Business Intelligence (BI), and data analytics. The first step is identifying which area of your supply chain you want to improve, then selecting the tool that fits your needs, budget, and existing system integrations — and making sure processes are followed with data quality in mind.

High-quality data is used primarily to support informed decisions and improve supply chain efficiency. It also helps reduce costs, increase productivity, boost customer satisfaction, and strengthen end-to-end supply chain visibility and transparency. Moving away from incorrect, duplicate, fragmented, and outdated data makes it possible to optimize and automate logistics tasks — imagine only having to manually manage 10% of your trips, because the other 90% is automated with reliable data. High-quality data underpins accurate decision-making, supports compliance with data quality standards, and enables more precise, predictive forecasting.

We know that building high-quality data into your supply chain requires a systematic, strategic approach. That’s why Recurso Confiable built Control Track, our real-time logistics visibility platform. Control Track collects data from multiple sources and, through Artificial Intelligence and advanced Machine Learning algorithms, standardizes, processes, cleans, analyzes, and interprets it — surfacing trends and patterns through clear, concise visualizations that support faster decision-making. We define key performance indicators (KPIs) to measure data quality, continuously monitor and adjust processes to maintain it, and conduct periodic audits to guarantee accuracy. Our team is trained to live a quality-driven data culture, keeping systems and tools up to date, adjusting processes as needed, and working toward the continuous improvement of data quality.

👉🏼 We connect to the heart of your logistics operation, so you can focus on the core of your business.