Through a cloud implementation, near-real-time data generated by sensors from production plants in a construction materials company was made available. With this information, live reports of the main variables to be monitored and automatic alerts to relevant people in the process were generated. Additionally, the data was structured in such a way as to be prepared for the next phase to implement predictions in the analyzed process stages and thus anticipate problems. The process made it possible to trigger solutions early and identify patterns to address recurring problems.