Data Analysis / Metrics

Aeries Analytics is the reporting, dashboard, and early-warning component built into the Aeries student information system. It turns current SIS information—including attendance, grades, discipline, assessments, program participation, interventions, graduation progress, and California college-and-career indicators—into configurable charts, student groups, and watchlists.

A watchlist is a view of source records through selected rules. School teams need to know which attendance, grading, or program updates have arrived before interpreting a change in risk. Source-system changes and reporting dates affect interpretation. Analysts work with program owners to resolve discrepancies before a combined view informs leadership decisions.

ClassLink Analytics provides application-usage analytics for resources accessed through ClassLink LaunchPad. ClassLink Analytics organizes engagement information by application and school to support technology spending, implementation review, and professional learning decisions.

LaunchPad activity describes access within that collection context. District teams connect observed use with licensed resources, school populations, and implementation goals before making adoption or renewal decisions. Observed activity is evidence about use within the collection’s coverage. It does not independently establish instructional effectiveness or the value of every license.

DataZone is a data warehouse and analytics service operated by the Santa Clara County Office of Education. Participating agencies use the county-operated shared service to bring information together for student-level analysis, reporting, and improvement work.

Participating agencies’ source data becomes a shared county-operated analytical resource. District and county stewards coordinate matching, definitions, access, and refresh cycles so combined views retain their local meaning. The same label can describe different measures or populations in different systems. Source definitions and reporting dates preserve the meaning of an apparent trend or comparison.

A shared analytical record influences program review and leadership decisions even though corrections often belong in the source system. Data teams coordinate refresh schedules, access, definitions, and a path for resolving discrepancies. Readers need to understand which data is represented, how current it is, and what an aggregate or student-level view can legitimately explain.

DecisionEd is a K–12 data warehouse, dashboard, reporting, and early-warning platform. It links information from SIS, assessment, attendance, behavior, intervention, finance, HR, and other systems so educators and administrators can analyze students, programs, curriculum, staff, schools, and district operations from a shared source.

A shared analytical view requires aligned identities and business definitions across source systems. Data teams work with program, HR, and finance owners to interpret relationships without losing the original reporting context. The same label can describe different measures or populations in different systems. Source definitions and reporting dates preserve the meaning of an apparent trend or comparison.

A shared analytical record influences program review and leadership decisions even though corrections often belong in the source system. Data teams coordinate refresh schedules, access, definitions, and a path for resolving discrepancies. Readers need to understand which data is represented, how current it is, and what an aggregate or student-level view can legitimately explain.

Videri is Instructure's K–12 data visualization product for combining information from SIS, assessment, attendance, behavior, special education, gradebook, and other systems. It gives educators watchlists, scorecards, longitudinal charts, accountability dashboards, and drill-down views that move from district trends to individual students.

Combined views depend on accurate student matching and comparable reporting periods. District analysts and source-system owners coordinate definitions and updates so a watchlist reflects current, interpretable information. The same label can describe different measures or populations in different systems. Source definitions and reporting dates preserve the meaning of an apparent trend or comparison.

A shared analytical record influences program review and leadership decisions even though corrections often belong in the source system. Data teams coordinate refresh schedules, access, definitions, and a path for resolving discrepancies. Readers need to understand which data is represented, how current it is, and what an aggregate or student-level view can legitimately explain.

Hoonuit's education data platform became PowerSchool Unified Insights and is now represented within PowerSchool Analytics & Insights. It combines data from SIS, assessment, attendance, behavior, learning, talent, finance, and other systems into a managed longitudinal model with dashboards for district leaders, school administrators, and educators.

Longitudinal analysis joins records that use different structures and update schedules. Source owners and analysts coordinate student matching, measure definitions, and refresh timing before using combined views for decisions. The same label can describe different measures or populations in different systems. Source definitions and reporting dates preserve the meaning of an apparent trend or comparison.

A shared analytical record influences program review and leadership decisions even though corrections often belong in the source system. Data teams coordinate refresh schedules, access, definitions, and a path for resolving discrepancies. Readers need to understand which data is represented, how current it is, and what an aggregate or student-level view can legitimately explain.

KiDS, the Kern Integrated Data System, is a data warehouse and analytics platform developed by the Kern County Superintendent of Schools. The county-developed regional service combines participating agencies’ student and operational information for reporting, early warning, and planning.

The county-developed service connects participating agencies’ information for shared analysis. Local data stewards and county staff coordinate source definitions, student matching, access, and the timing of updated records. The same label can describe different measures or populations in different systems. Source definitions and reporting dates preserve the meaning of an apparent trend or comparison.

A shared analytical record influences program review and leadership decisions even though corrections often belong in the source system. Data teams coordinate refresh schedules, access, definitions, and a path for resolving discrepancies. Readers need to understand which data is represented, how current it is, and what an aggregate or student-level view can legitimately explain.

Lightspeed Insight is education technology analytics software for understanding digital application use and supporting app governance. Lightspeed Insight helps districts review engagement, license use, and privacy information when evaluating their digital resource portfolio.

Application activity is useful only within the coverage of the configured collection. Technology, curriculum, and purchasing teams connect usage evidence with licensing, implementation goals, and the population actually represented. Observed activity is evidence about use within the collection’s coverage. It does not independently establish instructional effectiveness or the value of every license.

Microsoft Power BI is a general-purpose business intelligence platform and a core analytics workload within Microsoft Fabric. District teams can connect files, databases, cloud systems, warehouses, and APIs; transform and model data; build interactive reports; and distribute governed dashboards through Microsoft workspaces and applications.

The data model determines how records become a measure. Analysts coordinate refresh schedules, access, and definitions with departmental owners before dashboards are used in operational or public discussions. A dashboard can summarize many systems while inheriting their limitations. Documented definitions and refresh timing help viewers understand what a displayed measure represents.

Panorama Surveys collects feedback from students, families, teachers, and staff. Districts use surveys and dashboards to examine school climate, belonging, relationships, engagement, safety, and communication. School teams review results across groups and over time to inform improvement priorities and follow-up conversations.

Respondent group and administration window are essential to interpreting feedback. District teams connect the findings with local improvement questions while accounting for participation and the privacy of smaller groups. Question wording and response coverage shape the interpretation. Program owners and analysts coordinate reporting populations and the handling of identifiable comments before sharing conclusions.

Parsec Clarity is a K–12 analytics and dashboard platform from Parsec Education for district and charter leaders. It brings assessment, attendance, enrollment, graduation, and accountability data together for analysis and board reporting.

Accountability measures and local records can use different periods and definitions. Analysts and program owners coordinate those distinctions before leaders use a combined view for planning or board reporting. Source-system changes and reporting dates affect interpretation. Analysts work with program owners to resolve discrepancies before a combined view informs leadership decisions.

Parsec Real is a K–12 survey and feedback platform from Parsec Education. It collects student, family, community, and staff perspectives through video, audio, and text, with AI-assisted themes and summaries for district and charter leaders.

A comment or recording needs its question, respondent group, and collection context. District teams review AI-assisted themes against original responses before using summaries for improvement decisions. Question wording and response coverage shape the interpretation. Program owners and analysts coordinate reporting populations and the handling of identifiable comments before sharing conclusions.

PowerSchool Predictive Enrollment Analytics, formerly DecisionInsite, is a district enrollment-forecasting and geographic planning platform. It combines current and historical enrollment, student locations, school boundaries, capacities, community demographics, and housing trends to project future enrollment and test operational scenarios.

An enrollment forecast combines historical records with assumptions about housing, boundaries, and movement. Planning teams distinguish modeled scenarios from enrolled students when discussing staffing and school capacity.

Qualtrics is an experience-management, survey, workflow, and feedback analytics platform. K–12 districts use it to collect and analyze student, family, employee, and community perspectives; manage forms and program evaluations; monitor school climate and engagement; and route concerns or follow-up tasks to responsible teams.

A response depends on the survey version, respondent group, and collection window. Analysts and program owners coordinate access and interpretation, especially when identifiable follow-up differs from aggregate reporting. Question wording and response coverage shape the interpretation. Program owners and analysts coordinate reporting populations and the handling of identifiable comments before sharing conclusions.

ReadWrite Digital Analytics is a K–12 student data warehouse, reporting, and early-warning application. It combines multi-year information from SIS, assessment, attendance, grade, behavior, perception, and other systems so educators can see a whole-student view, find students crossing local risk thresholds, and monitor whether supports are working.

The same student can appear across years and several operational systems. Data teams reconcile identities, refresh timing, and local risk definitions before educators use a combined history for support decisions. The same label can describe different measures or populations in different systems. Source definitions and reporting dates preserve the meaning of an apparent trend or comparison.

A shared analytical record influences program review and leadership decisions even though corrections often belong in the source system. Data teams coordinate refresh schedules, access, definitions, and a path for resolving discrepancies. Readers need to understand which data is represented, how current it is, and what an aggregate or student-level view can legitimately explain.

Schoolytics is a managed K–12 data warehouse, dashboard, reporting, and student-support platform. It combines SIS, LMS, assessment, attendance, grade, behavior, survey, and other district information into role-based views for administrators, instructional coaches, counselors, teachers, students, and families.

A student’s record appears across systems with different update cycles and definitions. Analysts and program owners coordinate matching and measures so combined dashboards support action without losing the source context. The same label can describe different measures or populations in different systems. Source definitions and reporting dates preserve the meaning of an apparent trend or comparison.

A shared analytical record influences program review and leadership decisions even though corrections often belong in the source system. Data teams coordinate refresh schedules, access, definitions, and a path for resolving discrepancies. Readers need to understand which data is represented, how current it is, and what an aggregate or student-level view can legitimately explain.

Schoolzilla is Renaissance's K–12 data warehouse and dashboard platform. It brings information from SIS, assessment, attendance, behavior, and other district systems into role-based views so leaders and educators can monitor performance, compare student groups, identify students needing support, and follow progress over time.

Data from different systems become comparable only when identities, dates, and measures align. Analysts and source-system owners coordinate corrections so dashboards reflect the same student and reporting period. The same label can describe different measures or populations in different systems. Source definitions and reporting dates preserve the meaning of an apparent trend or comparison.

A shared analytical record influences program review and leadership decisions even though corrections often belong in the source system. Data teams coordinate refresh schedules, access, definitions, and a path for resolving discrepancies. Readers need to understand which data is represented, how current it is, and what an aggregate or student-level view can legitimately explain.

Tableau is a general-purpose business intelligence and data-visualization platform from Salesforce. District analysts can connect databases, cloud services, files, and prepared data warehouses; build interactive reports and dashboards; and publish governed views for administrators, departments, schools, or public audiences.

A visualization depends on the model and refresh process behind it. Analysts define measures and reporting populations while departments confirm that dashboards represent the underlying business or student records correctly. A dashboard can summarize many systems while inheriting their limitations. Documented definitions and refresh timing help viewers understand what a displayed measure represents.