Attendance

Analysis of student absences by level, allowing users to determine the effects of absences on student performance. Year over year comparison to track student improvement in grades related to reduced absence counts.

Infractions

Provides detail on student infraction levels, broken down by infraction type. Allowing schools to analyze the effect and costs both financially and socially.

Student Demographics

This module provides a variety of information from the student information system such as gender, ethnicity, lunch program, special education, address, transportation, etc.

Teacher Demographics

Analysis of teacher costs and activities. Salary demographics, teacher cost per school. Teacher qualification tracking.

Course Scores

Student grades by subject broken down. Teacher to teacher grade comparisons. Curriculum and standardized test grade comparisons. Grade tracking based on outside environment factors such as absences, ethnicity and infractions.

Test Scores

Specific state testing views that allow users to fully determine student successes. Year over year test scores analysis. At risk student tracking.

Data Mining Has Never Been Simpler

schooltoolIQ is a Data Analysis and Mining product that allows K-12 school district administrators to spot trends, predict outcomes and make faster, better, data-driven decisions by analyzing their volumes of data.


As the need for accurate reporting is increasing with No Child Left Behind (NCLB) requirements, educators are being pressed for prompt, accurate answers. "How did my ninth graders perform on the high-stakes tests this year compared to last year?" "Do we have a problem with fighting in our high school?" "Which teachers are producing the highest level of student improvement?" While many of the questions being asked are very important, the sheer volume can be overwhelming.