The Community Impact: Volunteering standard dashboard provides a comprehensive solution for tracking and visualizing your organization's volunteerism efforts at the community level. This powerful tool enables you to effortlessly aggregate and analyze data related to your corporate social responsibility (CSR) initiatives, revolutionizing the way you measure and demonstrate your commitment to social responsibility.
Target Audience: Program Administrators & Program Coordinators in the Commercial Banking industry looking to report on volunteerism programs to better understand their community impact activities that influence LMI communities.
Key Benefits:
- Ensure accurate tracking with location-based fields. Say goodbye to manual data collection. Leverage census-based fields with geocoding, providing you with additional information on your CSR initiatives that may have influenced low- and moderate-income (LMI) communities.
- Streamline program data aggregation. Bring your data together in one system. Our dashboard seamlessly integrates with Bonterra’s Volunteerism solution allowing you to effortlessly track your impact across various CSR initiatives, ensuring you have a comprehensive understanding of your community involvement.
- Foster a greater sense of transparency. Gain powerful insights through intuitive visualizations. Our dashboard presents your program data in an easy-to-understand format, enabling you to identify trends, measure progress, and communicate your impact effectively to your stakeholders.
Proceed as follows to further explore the Community Impact: Volunteering standard dashboard and its features.
Step 1: Access the Dashboard
Navigate to the Insights platform and choose Community Impact: Volunteering from the list of Standard Dashboards in the left-side navigation panel.
Step 2: Explore the Dashboard Reports
The following is a list of reports included in the Community Impact: Volunteering standard dashboard.
Report Name
|
Description
|
| Hours | Sum of total volunteer hours not in disposition Canceled or Rejected. |
| Employees | Unique count of participating employees with hours not in a disposition of Canceled or Rejected. |
| Events | Unique count of events with hours not in a disposition of Canceled or Rejected. |
| Organizations | Unique count of organizations with hours not in a disposition of Canceled or Rejected. |
| CSAs | Unique count of organization CSAs (Combined Statistical Areas) with hours not in a disposition of Canceled or Rejected. |
| MSAs/MDs | Unique count of organization MSAs (Metropolitan Statistical Areas) or MDs (Metropolitan Divisions) with hours not in a disposition of Canceled or Rejected. |
| Tracts | Unique count of organization census tracts with hours not in a disposition of Canceled or Rejected. |
| Hours by Organization Income Level & Volunteer Start Week | Total hours (not in disposition Canceled or Rejected) for each organization income level, broken down by volunteer start week. |
| Hours by Income Level | Percentage of total hours (not in disposition Canceled or Rejected) broken down by organization income level. |
| Hours by Cause | Total hours (not in disposition Canceled or Rejected) by organization cause. |
| Top 10 MSAs/MDs | The top 10 organization MSAs (Metropolitan Statistical Areas) or MDs (Metropolitan Divisions) tied to volunteer hours not in disposition Canceled or Rejected. Explore on this tile to see the full list of MSAs/MDs tied to volunteer hours. |
| Hours by Organization MSA | Total hours (not in disposition Canceled or Rejected) by organization MSA (Metropolitan Statistical Area). |
| Top 10 Organizations Detail | The top 10 organizations tied to volunteer hours not in disposition Canceled or Rejected, with additional geographical detail provided. Explore on this tile to see the full list of organizations tied to volunteer hours. |
Step 3: Use the Dashboard Filters
Insights users can utilize the following filters to adjust their view of the data displayed across all tiles within this dashboard.
- Volunteer Start Date
- Program
- CSA
- MSA/MD
- County
- Tract
- Tract Income Level
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