Make Informed Decisions by Analyzing Your HR Data

  • At the push of a button: Automatic formatting of all data as a dashboard or table
  • Customized: Custom report types tailored to specific use cases
  • Straightforward: Consistent format, easy export function

Planerio Analytics analyzes personnel and planning data and presents it as a dashboard or table. Data that can be analyzed includes sick leave, absences, target and actual working hours, and shift staffing. Alerts are triggered when predefined thresholds are exceeded or fallen below. Each analysis can be exported as an Excel spreadsheet with just a few clicks. Key performance indicators (KPIs) such as employee turnover, overtime rate, and other HR metrics for workforce management serve as control variables.

  • Reports on time and attendance, shift planning, and employee structure
  • Custom report types based on intended use
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The benefits of using Planerio Analytics for data analysis:

Sick Leave Management

For example, compare sick days and types of sick leave by time period, sick leave rates by shift groups, or the distribution of sick days across the days of the week.

Absence Management & Leave Planning

All types of absences can be broken down by time periods, shift groups, qualifications, etc.—allowing you to take timely action to address staffing shortages.

Time & Attendance

Receive a report on target and actual hours as well as flexitime, with automatic alerts when hourly quotas are exceeded or not met.

Shift Planning

Record pre-scheduled and flexible shifts, empty and staffed shifts per day, the distribution of night shifts by job category, etc., including alerts when specified thresholds are exceeded.

Employee Focus

Get an overview of length of service, full-time and part-time employees, employee breakdown by department, qualifications by shift groups, and much more.

Easy Exporting

Any analytics can be exported with just a few clicks, for example, as an Excel spreadsheet.

The result: Maximum visibility with minimal effort for data-driven decisions

20 Use Cases and Insights in the Analytics White Paper

FAQ

Frequently Asked Questions – Quick Answers:

How can analytics features in shift planning software improve the efficiency of workforce planning?

Planerio’s analytics feature can significantly improve the efficiency of workforce planning by providing data-driven insights into the use of personnel resources. By analyzing historical data on working hours, shift patterns, and employee availability, companies can make informed decisions that lead to optimal workforce planning. This reduces overtime, improves employee satisfaction, and ensures that there is always a sufficient number of qualified staff available.

What specific analytics tools does shift planning software offer for monitoring KPIs and performance metrics?

Shift planning software offers various specific analytics tools, including:
Dashboards: Visual representations of key performance indicators that provide a quick overview of workforce planning and utilization.
Reporting features: Detailed reports on working hours, shift allocations, and employee productivity that can be generated on a regular basis.
Trend analyses: Tools for identifying trends in staff utilization and availability over various time periods.

These tools help continuously monitor and optimize the performance of workforce planning.

How does analytics help predict staffing needs and plan shifts?

Planerio Analytics analyzes historical data and identifies patterns. By evaluating factors such as seasonal fluctuations, holidays, or special events, companies can better estimate future staffing needs.
Based on these analyses, the software can provide automated recommendations for shift planning, enabling companies to respond proactively to changes. This leads to more efficient use of resources and minimizes staff shortages or overstaffing.

What role does analytics play in identifying trends and patterns in shift planning?

By analyzing data over longer periods, companies can identify recurring patterns in workforce utilization, such as frequent overtime at certain times or employees’ availability in specific shifts.

These insights enable management to take proactive measures to optimize workforce planning and increase efficiency. They can also help identify potential problems early on and make the necessary adjustments.

How does analytics support management decision-making?

Planerio Analytics supports management decision-making by providing data-driven insights into workforce planning and utilization. By providing clear, quantitative data, managers can make informed decisions based on realistic forecasts and key performance indicators.

These data-driven insights enable management to make strategic decisions, such as adjusting shift models, hiring new employees, or optimizing training programs. This leads to more effective workforce planning and improved overall company performance.

Our Customers

Why Modern Companies Use Planerio

  • Hochgrat Hospital Wolfsried Reisach

    “A key advantage is the much faster PPPRL analytics with the help of Planerio; the structural audit was also significantly easier than before.”HR Department
  • Center for Holistic Pain Medicine Dresden (Zentrum für ganzheitliche Schmerzmedizin Dresden MVZ)

    “The compatibility of shift planning and absence management in the workplace view is excellent. This allows me to see everything at a glance and avoids managing two systems simultaneously.”HR Manager
  • VIARIVA Gastroenterologie Bern

    “Previously, a monthly schedule took us almost a day; now it’s finished in a maximum of one hour.”Tiziana Moser, Physician Assistant
  • LADR Laborverbund Hospital

    “Special requests are recorded and taken into account in the next update. I find this way of responding to customer requests innovative.”Process Organizer
  • Zahnwache Reutlingen

    “Thank you for such a well-thought-out scheduling and time tracking program; I finally have time for other things in the practice again and no longer have to spend hours worrying about staff scheduling.”Practice Manager

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