The quality and reliability of empirical results generated during any study can be established by how closely related those results obtained are, if the experiment is repeated severally within a given space of time. Such tasks could be herculean and laborious if they are required to be performed manually. Results obtained from such tedious measurement may be prone to a lot of human errors, especially where a large volume of data is required to be measured for a longer duration. Hence, deployment of Data Logger for empirical studies could help eliminate such errors and difficulties thereby, enhancing accuracy and reliability of experimental results. The Met Scientific System International (MSSI:MS08) Data Logger was suitably deployed for a 200 litre/day installed capacity solar water heater system for Good Pasture Clinic and Maternity, located at N0 6 Citta Avenue, Nomansland, Kano, Nigeria. A seamless analysis of the temperature drops in the installed 200 litre/day solar water heater system was achieved with little or no human presence using the MSSI:MS08 Data Logger. The MSSI:MS08 Data Logger deployed at the Good Pasture Clinic and Maternity, provides holistic temperature trend monitoring of all input point of measurement throughout the day and night hours. This help in providing a true picture of temperature drops within the solar water heating system as compared to those obtained by simulation which only shows defunct values at night due to non-availability of solar irradiation. The ease of measuring multiple empirical variables data points makes the use of Data Logger more potent as data measuring instrument.