The S in ESG, calculated from the data.

Workforce, contracts, pay, accidents, absenteeism and training, loaded once. Dcycle calculates the pay gap, turnover or frequency rate and builds the tables for the EINF, Spain’s non-financial information statement, for you.

15
EINF tables in one click
1
upload for the whole group from the parent company
2,000+
companies report with Dcycle
The Dcycle workforce module with employees, accidents and absences, and training

More than 2,000 European companies trust Dcycle

ABBAjinomotoEiffageKLNSabadellValeo
The EINF tables

Load your workforce once. Dcycle builds all fifteen EINF tables.

With each person’s data (gender, age, category, contract, salary, accidents and training), the “Own Workforce Tables” template in an EINF project creates the workforce tables required by Law 11/2018, already calculated. Open any block to see them.

1Your workforce
PersonGenderCategorySalary
Employee 001WomanTechnical staff€39,800
Employee 002ManProduction€29,100
Employee 003WomanAdministration€24,600
Employee 004ManManagement€76,200
+ 476 more people
2Own Workforce Tables 0 / 15 tables created
Every indicator, with its formula

No averages of averages. Straight from each person’s records.

Dcycle calculates every indicator from the underlying records, so the totals match the breakdown by gender, age, contract type or subsidiary.

Pay gap 5.3%
How it is calculatedPercentage difference between men’s and women’s average pay
  • Women34,200 €
  • Men36,100 €
Inside Dcycle

People data, right in the app.

01Accidents and absences

Every accident and every absence, by employee

Each record carries the employee’s ID, whether it happened at work or while commuting, its date and the hours of leave. That gives you the frequency and severity rates.

02Training

Every training course, with its hours

Your team’s training, with its type, dates and hours, ready for average hours per employee and per job category.

Every accident and every absence, by employee
Every training course, with its hours

Real Dcycle screens with a sample company.

And also

Built for real reporting.

The whole group at once
The parent company can upload the workforce of all its companies in a single upload.
Financial consolidation
Indicators can be consolidated by the ownership percentage in each subsidiary.
Dismissals to the exact month
A dedicated dismissals table by year, month, gender, age, contract and reason for leaving.
Commuting surveys
Tailored commuting surveys, with their working model, their questions and their translation.
FAQ

Frequently asked questions

What workforce data can I manage in Dcycle?

Your workforce with their contracts and pay, accidents and absences, training and employee commuting surveys.

Does Dcycle prepare the EINF tables?

Yes. In an EINF project, the “Own Workforce Tables” template creates all the workforce tables required by Law 11/2018 at once, already configured, and you can edit them one by one.

How does it calculate the pay gap?

As the percentage difference between men’s and women’s average pay, calculated from each person’s pay rather than from table averages, so the breakdown by category matches the total.

Which indicators does it calculate?

Among others, headcount and FTE, voluntary and involuntary turnover rate, average and median pay, the ratio of the highest pay to the median, the pay gap, frequency and severity rates, occupational diseases and average training hours.

How does it count contracts?

Each contract counts according to the time it was active in the period: a 12-month contract counts as 1 and a 6-month one as 0.5. That way the average number of contracts truly reflects the size of the workforce.

Does it work for a group of companies?

Yes. The parent company can load the workforce of the whole group in a single upload, and indicators support financial consolidation according to the stake in each subsidiary.

30-minute demo

See it with your own data.

Thirty minutes with our team. We show you how your data would come in, and what you would get out.

See Dcycle in action
  • No commitment
  • With your data
  • In your language

What your session looks like

  1. 01 You tell us what you’re being asked forCustomers, auditors or banks: what data and by when. 0–5 min
  2. 02 We show how your data comes inInvoices, ERP, suppliers: on an example close to yours. 5–20 min
  3. 03 You leave with a planWhat to automate first and how much time you save. 20–30 min
With someone from the team who then supports you