APANTLI Data Collection System
Format
SOECS Senior Project Demonstration
Faculty Mentor Name
Michael Doherty
Faculty Mentor Department
School of Engineering and Computer Science
Abstract/Artist Statement
We have developed a data collection and reporting system to support the APANTLI organization. APANTLI is a non-profit Stockton organization that assists at-risk students to increase their potential for success in academics and life. Collection and analysis of data describing their clients’ lives and circumstances is essential to the provision of appropriate services. Analysis and reporting of data is also essential to demonstrate progress and results in order to secure grants to fund the organization’s operations. Our solution automates APANTLI’s data collection and analysis process, which reduces the manual labor required, reduces the number of accidental data errors and increases the ability to extract useful and relevant information. The system leverages open source web and database technologies to provide the maximum benefit at the minimum cost.
Location
School of Engineering & Computer Science
Start Date
30-4-2011 2:00 PM
End Date
30-4-2011 3:30 PM
APANTLI Data Collection System
School of Engineering & Computer Science
We have developed a data collection and reporting system to support the APANTLI organization. APANTLI is a non-profit Stockton organization that assists at-risk students to increase their potential for success in academics and life. Collection and analysis of data describing their clients’ lives and circumstances is essential to the provision of appropriate services. Analysis and reporting of data is also essential to demonstrate progress and results in order to secure grants to fund the organization’s operations. Our solution automates APANTLI’s data collection and analysis process, which reduces the manual labor required, reduces the number of accidental data errors and increases the ability to extract useful and relevant information. The system leverages open source web and database technologies to provide the maximum benefit at the minimum cost.