Dashboard Library

LookML Dashboard Library

Welcome to the LookML Dashboard Library. Below is a comprehensive list of available dashboards designed to help you manage, analyze, and optimize your HMIS data effectively.


Clarity System Dashboards

  • Clarity Usage and System Stats
    An overview of user activity, system utilization, and key statistics within Clarity Human Services to monitor overall system engagement.
  • New Customer Configuration Dashboard
    A guide for configuring new customer accounts in HMIS, ensuring proper setup while also serving as a tool for high-level configuration review. 

Coordinated Entry Dashboards

Data Quality Dashboards

  • Data Quality Dashboard
    Identifies and addresses data quality issues within HMIS, helping improve the accuracy and integrity of client records.
  • HMIS Data Quality Supplemental Dashboard
    An extra resource complementing the main Data Quality Dashboard, this tool provides more in-depth analysis and tailored metrics to improve data integrity checks, drawing inspiration from the HMIS Data Quality Report detailed in the HMIS Reporting Glossary.

Federal Reporting Dashboards

  • APR Submittal Preparation
    This guide helps prepare the Annual Performance Report (APR) ensuring compliance with HUD reporting requirements for Sage submission by highlighting common data issues. 
  • LSA Data Cleanup: Funding Source and Configuration Issues
    Ensures accurate reporting of funding sources and project configuration, correcting discrepancies to maintain compliance and data integrity.
  • LSA Data Cleanup: Length of Stay and Utilization Overview
    Addresses errors in Length of Stay calculations and utilization rates, ensuring accurate representation of client stays and resource usage.
  • LSA Data Cleanup: Overlapping Enrollments
    Identifies instances of overlapping client enrollments to improve data accuracy and address overlapping enrollment conflicts.
  • LSA Data Cleanup: Project Descriptor Data Issues
    Displays issues with project descriptor data, such as project types and bed inventory, to ensure completeness and accuracy for reporting. This cleanup focuses solely on project-level data and does not include client data. 
  • LSA Data Cleanup: Year to Year Comparisons
    Facilitates the comparison of Longitudinal Systems Analysis (LSA) data across different years to ensure consistency and accuracy while providing insights on project shifts in enrollments/clients served. 
  • LSA Data Cleanup: Household and Enrollment Data
    Focuses on common issues associated with household and enrollment data, ensuring accurate representation of client demographics and participation.
  • System Performance Measures Dashboards
    Displays HUD-defined System Performance Measures (SPM) to assess the overall effectiveness of the homeless response system.

HMIS Analytics

  • Client Status
    Provides a comprehensive view of a client's current HMIS status and system interactions, including profile details, enrollment history, and service participation.
  • Recidivism - Returns to Homelessness
    Analyzes data on clients who return to homelessness after exiting programs, helping identify factors contributing to recidivism.

Program Analytics Dashboards

Inventory Dashboards