This post shares Fusion HCM Analytics sample content as part of Oracle Fusion Data Intelligence (FDI), a family of prebuilt, cloud-native analytics applications for Oracle Fusion Cloud Applications. These sample artifacts are intended to demonstrate potential use cases, accelerate implementation efforts, and provide examples of how customers can extend and customize FDI content to meet their business needs. To explore additional reusable sample content, visit the FDI Content Library.
Content Description: An AI-enabled Opportunity Marketplace – Gigs Analytics workbook and agent that empowers HR leaders, Talent Managers, HR Business Partners, Gig Creators, and business leaders to analyze internal gig opportunities, employee interest, gig applications, application status, favored gigs, and gig fulfillment across the organization. Using the HCM - Opportunity Marketplace - Gigs subject area, the workbook provides actionable insights into how gigs are created and consumed across the organization, which opportunities attract the greatest employee interest, how seekers engage with gigs, how applications progress through different statuses, and how effectively gig opportunities are fulfilled. The workbook, together with the AI Agent, enables users to ask natural-language questions and quickly understand gig marketplace activity, identify high-demand opportunities, analyze creator and seeker participation, monitor application outcomes, and identify areas where gig demand and fulfillment may require attention.
Application: Fusion HCM Analytics
Fusion Module: Opportunity Marketplace - Gigs
Target Persona: HRBP, Line Manager, Gig Creators
Subject Areas: HCM - Opportunity Marketplace - Gigs
Business Use Case/Questions: This Workbook along with the AI Agent can answerbusiness questions like below
- How are gig opportunities trending over time?
- Which business units or departments have the highest number of gigs?
- Which organizations have the lowest number of gig opportunities?
- What is the overall status distribution of gigs?
- Which gigs have attracted the highest employee interest?
- What are the top N gigs based on seeker engagement?
- Which creators have created the highest number of gigs?
- Which business units or departments have the most active gig creators?
- How are gigs distributed across creators?
- Which creators receive the highest number of applications for their gigs?
- Which creators have the highest number of fulfilled gigs?
- Which creators have gigs with applications still requiring action?
- What is the trend of gigs created over time?
- Which seekers have applied to the highest number of gigs?
- Which business units or departments have the highest gig seeker participation?
- How is seeker participation distributed across the organization?
- Which gigs attract seekers from multiple business units or departments?
- How many seekers have successfully participated in gigs?
- Which organizations have high seeker interest but comparatively few gig opportunities?
- Which gigs have been favored the most?
- What are the top N favored gigs?
- Which gig creators have the highest number of favored gigs?
- Which business units or departments have the highest number of employees favoring gigs?
- How does the number of favored gigs compare with actual gig applications?
- Which highly favored gigs have comparatively low application volumes?
- Which gigs have both high favorite counts and high application volumes?
- Which gigs have received the highest number of applications?
- Which gigs have received the lowest number of applications?
- What is the average number of applications per gig?
- How are gig applications distributed across business units and departments?
- Which creators receive the highest volume of gig applications?
- Which seeker populations submit the highest number of applications?
- What is the trend of gig applications over time?
- Which gigs have multiple applicants?
- Which gigs have no applications?
- Compare the number of gigs created with the number of applications received.
- How many gig applications are currently pending?
- How many gig applications have been accepted?
- How many gig applications have been rejected or declined?
- Which gigs have the highest number of pending applications?
- Which creators have the highest number of pending applications?
- Which business units have the highest number of successful gig applications?
- How has gig application status changed over time?
- Which gigs have applications that remain unresolved?
- What percentage of gig applications result in successful participation?
- What percentage of gigs have been successfully fulfilled?
- Which business units or departments have the highest gig fulfillment?
- Which creators have the highest gig fulfillment?
- Which gigs remain unfulfilled despite receiving applications?
- Which gigs remain unfulfilled because they received no applications?
- How long does it take for gigs to progress from creation to fulfillment?
- What is the trend of gig fulfillment over time?
- Compare gig creation, application, and fulfillment volumes.
- Which organizations have high gig demand but low fulfillment?
- Which organizations have the strongest overall gig marketplace participation?
Pre-Requisites: Opportunity Marketplace - Gigs
Download: Available in the FDI Content Library.
Best Practices
Be specific about the gig, creator, seeker, application status, organizational population, and analysis period required.
When analyzing gig marketplace activity, first review summary metrics such as gig creation, seeker participation, applications, and fulfillment before requesting detailed worker-level information.
Always include an appropriate time period when requesting trends or period-over-period comparisons.
Good Examples
- How many gigs were created during the current year?
- Which creators have created the highest number of gigs?
- Show the top 10 favored gigs for the current year.
- Which gigs received the highest number of applications?
- Show the application status distribution for active gigs.
- Which creators have the highest number of pending applications?
- What percentage of gigs have been fulfilled?
- Which departments have high seeker participation but low gig fulfillment?
- Which gigs remain unfulfilled despite receiving applications?
- Compare gig creation, applications, and fulfillment by business unit.
Avoid
- Generic questions such as "Show me gigs."
- Asking for "status" without specifying whether gig status, application status, or fulfillment status is required.
- Asking for trends without specifying an appropriate analysis period.
- Combining creators, seekers, favorites, applications, application status, fulfillment, and detailed worker information in a single question.
- Requesting detailed worker-level records for the entire organization when summary analysis is sufficient.
We’d love to get your feedback and business use cases to help build more sample FDIContent.
