The usual use of an electronic spreadsheet is inadequate for operationalizing and managing the visualization and analysis of statistics relevant to mud crab production in the Philippines because of the lengthy process of building equations to obtain the desired diagram. Due to a lack of governance in the decision-making process, mud crab aquaculture continues to have unmanageable low production. The commercial value of crabs has been diminished due to market pricing and standards for grading crabs, particularly the S. In terms of both cost and quality, Serrata is unbeatable. Because it uses the K-means algorithm to calculate analytics units, the Mud Crab Analytics Platform (MAP) is a cutting-edge, creative technology that supports decision-making. A three-phase holistic system development approach was used, consisting of (1) capture, (2) consumption, and (3) integration and transformation. The data gathering, data modeling, data analytics, visualization, and decision-making phases are all included in the MAPExeCPS paradigm of the mud crab analytics platform execution and control process standard (MAPExeCPS), which serves as a guide for exactly how the platform runs using the mud crab sampler device made by sensors and microcontrollers. As a result, MAP was able to give valuable descriptive, predictive, and prescriptive analytics insights. The survey data were collected from the respondents (N = 110) who produced a research report to assess the commercial value of mud crabs by using MAP. The statistical analysis results were generated using a non-parametric test, providing precise research outcomes. As a result, it was demonstrated that satisfaction with the analytics platform was quantified, and the decision-makers are more likely to be satisfied with their work managing mud crab farming to raise the market value of their product.