---
sourceDocument: Yokohama Impact
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/impact

 Release :

    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama Impact

ft:clusterId :

    - ipact

bundleId :

    - ipact


---

# Review HAM artifacts

# Review HAM artifacts {#ariaid-title1}

* Release version: Yokohama
* 
* Updated January 30, 2025
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read

The Data Collection app contains a pre-build data metric structure for the ServiceNow Performance/Platform Analytics application.

## Performance/Platform analytics {#dc-ham-install-artifacts__section_shm_qpd_tdc}

The content pack comes with the following artifact types.
{#dc-ham-install-artifacts__table_hq1_2pv_sdc__entry__2}

| Artifact type | Description |
|-|-|
| Indicator Source | Captures the basic data sets and commits them to the working memory of the platform to provide the foundation for the calculations. This is also called a data cube. |
| Automated Indicator | Basic calculation definition on the indicator source data set, potentially with additional filter conditions that you apply before making the calculation. |
| Manual Indicator | Metric for which there is no data set within the platform. Requires you to manually add a data point. |
| Formula Indicator | A more comprehensive calculation, such as % and ratio calculations that require multiple automated indicator data points for the calculation. |
| Data Collection Jobs | Schedule on which the automated data collection will run. |
| Widgets | Configuration for the UI visualization of an indicator. |
| Dashboard | Display of a collection of widgets on a pane. This dashboard contains two tabs. One tab contains widgets showing quarterly values, and the other contains widgets showing monthly values. |
[Table 1. Performance/Platform Analytics artifact types]

{#dc-ham-install-artifacts__table_hq1_2pv_sdc}

## Artifacts by type {#dc-ham-install-artifacts__section_x2g_zqv_sdc}

The app contains the following artifacts for each of the above-specified artifact types.
{#dc-ham-install-artifacts__table_eg4_1rv_sdc__entry__2}

| Artifact type | Name |
|-|-|
| Data Collection Job | Impact VM - HAM - Monthly Data Collection |
| Data Collection Job | Impact VM - HAM - Historical Data Collection |
| Dashboard | Impact VM - HAM |
| Widget | % new hires with all HW provisioned by day 1 |
| Widget | Backlog as a % HW requests |
| Widget | % unaccounted for HW assets |
| Widget | % HW assets in circulation |
| Widget | % of leased HW assets returned late |
| Widget | % of HW assets that have 'end of useful life' field populated |
| Widget | # of Employees : # of HAM FTEs |
| Widget | Legacy HAM systems annual run-rate |
| Widget | # of unplanned outages from HW issues |
| Manual | Impact VM - % new hires with all HW provisioned by day 1 |
| Formula | Impact VM - Backlog as a % HW requests |
| Automated | Impact VM - Number of created HW requests this month |
| Automated | Impact VM - Number of closed HW requests this month |
| Formula | Impact VM - % unaccounted for HW assets |
| Automated | Impact VM - # HW assets accounted |
| Automated | Impact VM - # HW assets missing |
| Formula | Impact VM - % HW assets in circulation |
| Automated | Impact VM - # HW assets |
| Automated | Impact VM - # HW assets in inventory |
| Manual | Impact VM - % of leased HW assets returned late |
| Manual | Impact VM - % of HW assets that have 'end of useful life' field populated |
| Manual | Impact VM - # of employees: # of HAM FTEs |
| Manual | Impact VM - Legacy HAM systems annual run-rate |
| Automated | Impact VM - # of unplanned outages from HW issues this month |
[Table 2. Artifacts by type]

{#dc-ham-install-artifacts__table_eg4_1rv_sdc}