You can understand about Insights for Job Analytics
Insights for Job analytics provide actionable insights to make informed decisions related to the jobs offered.
Job analysis provides insights into jobs and responsibilities, allowing organizations to identify areas for process improvement.
By analyzing data related to job performance, and task completion times, organizations can identify bottlenecks, inefficiencies, or areas that require automation. This information enables organizations to streamline processes, enhance operational workflows, and improve overall productivity.
Insights for Job analytics has delivered the below KPIs and Insights
|
KPI |
Description |
|---|---|
|
Metrics by Job Status |
A data table to know about the number of jobs that have been completed, proposed, in a work order, declined, canceled, hold, and generated for a specific period. |
|
Revenue by Job status |
Understand the revenue of jobs that are completed, proposed, in a work order, declined, canceled, hold, and generated based on your selected date range. |
|
Analyze Jobs by Job status |
To understand the total number of jobs by their status. |
|
Analyze Revenue by Job status |
To understand the total revenue of jobs by their status. |
|
Top 10 Jobs by Salesperson |
This KPI tracks the most number of jobs that have been bid by a salesperson. |
|
Top 10 Jobs by Revenue |
This KPI is valuable for businesses and organizations as it provides insights into which jobs contribute the most to overall revenue. |
|
Top 10 Jobs by Highest Profit |
This KPI directs attention to jobs that not only generate high revenue but also result in substantial profits after deducting associated costs. It prioritizes endeavors that contribute significantly to the organization's financial health. |
|
Top 10 Jobs by Loss |
This KPI highlights jobs that have incurred significant losses, enabling organizations to prioritize actions to mitigate those losses and minimize their negative impact. |
|
Analyze Jobs by Job Tags |
A horizontal bar chart to get an insight about the most jobs done based on the job tags assigned with it. |
|
Analyze Jobs by Customer type |
Analyzing jobs by customer type helps organizations better understand their customer base and make informed decisions that lead to improved customer satisfaction, retention, and revenue generation. It enables businesses to provide more tailored and relevant experiences to different customer segments. |
|
Analyze Jobs by City |
You can understand the most number of jobs that have been done in a particular city and it is represented using a horizontal bar chart. |
|
Jobs Accepted vs Declined over time |
Track and Understand how many Jobs are Accepted and Declined by a given time frame. |
|
Revenue over time |
This KPI tracks the total revenue generated by a business or organization over a specific period. This is essential for the business to understand the financial health, growth, and trends of the organization. |
Computed fields
Here are the business constraints that are applied.
- All the Metrics are calculated for the applied date range filter.
- Only active Jobs are considered for computation.
Filters
Using filters you can analyze by applying various search criteria, here are the available filters:
Service Category → Customer → Job → Service → Salesperson → Job Status → Service Status → Show Renewal(s)
The Importance of Insights For Job Analytics & Benefits
- By analyzing job-related data, organizations can identify factors that contribute to job satisfaction and engagement. It also helps in assessing workload, identifying areas for improvement in job design, and ensuring that employees have the necessary resources to perform their jobs effectively. By optimizing job roles and aligning them with the perfect crew, organizations can enhance job satisfaction and foster higher levels of employee engagement.
- Insights For Job analytics enables organizations to understand the distribution of job roles and positions within their workforce. By analyzing data related to jobs, services, requirements, and responsibilities, organizations can align their workforce to meet business objectives effectively. It helps in identifying skill gaps, determining staffing needs, and optimizing the allocation of resources.
Top 4 ways that Insights For Job Analytics can help to manage your operations better
- Job analysis provides insights into jobs and responsibilities, allowing organizations to identify areas for process improvement. By analyzing data related to job performance, and task completion times, organizations can identify bottlenecks, inefficiencies, or areas that require automation. This information enables organizations to streamline processes, enhance operational workflows, and improve overall productivity.
- Insights for Job analytics provides insights into the cost associated with different jobs, by analyzing these data such as compensation, benefits, and job-related expenses, organizations can evaluate the cost-effectiveness of their operations. This analysis enables better decision-making regarding resource allocation, and operational budgeting, leading to better cost management.
- Insights for job analytics can help in identifying workload imbalances across job roles or departments. By analyzing metrics such as task distribution, average workload, and job completion rates, organizations can identify areas of overload or underutilization. This information helps in redistributing tasks and workload, ensuring a more balanced and efficient operation.
- By analyzing job performance metrics, organizations can gain insights into individual and crew performance, it also helps in setting performance expectations, monitoring performance against key indicators, and identifying areas for improvement. This data-driven approach allows for more effective performance evaluations and targeted feedback, leading to enhanced overall performance management.