This is a system of the computerized approach to improve record keeping and management decision-making practices of a real estate agency. The system was designed to improve on the efficiency of such a company’s management through easy and quick access to all records. The computer package is named REMIS. The REMIS system has modules that provide tools to analyze data and make inferences about the data for management decision-making. REMIS also provides a centralized management of a company’s data by storing it in a database system where the data is managed by the database management system and all access to the data is through the database management system providing a key to effective data processing. This also reduces redundancies, making data management more efficient. The system takes in sample/population data and calculates descriptive statistics like mean, variance, standard deviation, coefficient of variation, and the mean absolute deviation. This helps avoid the possible human errors of computing statistics thereby becoming reliable. The system also takes in sample bivariate values for random variables and makes calculations for the Pearson product moment linear correlation coefficient and the linear regression line that can be used for testing the relationship that exists between two random variables and forecasting respectively. The package also takes in table values to calculate Chi-square tests, a non-parametric test of statistical significance for bivariate tabular analysis. Any appropriately performed test of statistical significance lets you know the degree of confidence you can have in accepting or rejecting a hypothesis. The REMIS also offers secure storage of a company’s data by ensuring that only authorized users use the system and providing backup facilities for the data. In summary, a real time record keeping and analysis system was realized from the study. The following major contributions were made as a result of the study: A linear regression forecasting system for any amount of data