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What candidate data should you keep?

Discover which candidate data is essential for recruitment and how to stay GDPR-compliant while efficiently identifying the best candidates.

JH
Job Hamann January 14, 2026
Recruitment dashboard with visits and spend per channel

Keeping track of applicant data is essential for effective recruitment, but it requires a strategic approach that meets privacy legislation and recruitment goals. You need to collect basic information for candidate evaluation, additional data for better matching, and organize everything for maximum efficiency. The right data strategy helps you identify better candidates while complying with GDPR requirements.

Which basic applicant data is essential for any recruitment?

For every recruitment, you need to at least collect contact details, work experience, educational background, and relevant skills. This fundamental data forms the basis for candidate evaluation and is necessary to get a good picture of someone's suitability for the role.

The essential personal data includes full name, phone number, email address, and city of residence. This information is crucial for communication during the application process and for scheduling interviews.

Professional data you should always record:

  • Current and previous roles with employment periods
  • Company names and short job descriptions
  • Education level and relevant certifications
  • Core skills that match the vacancy
  • Availability and desired start date

This basic data allows you to quickly assess whether a candidate meets the minimum requirements for the role. It also forms the basis for further screening and helps in making an initial selection from all applicants.

How long can you keep applicant data under the GDPR?

Under the GDPR, you can keep applicant data for a maximum of four weeks after the conclusion of the application process, unless the candidate gives consent for longer retention. For rejected candidates, this standard retention period of four weeks after the final decision applies.

Specific retention periods apply to different situations. For hired candidates, the data becomes part of the personnel file and can be kept for the duration of the employment relationship, plus a reasonable period thereafter for administrative purposes.

When candidates give explicit consent, you can keep their data longer for future vacancies. This consent must be voluntary, specific, and revocable. Candidates always have the right to:

  1. Access their stored data
  2. Request correction of incorrect information
  3. Demand deletion of their data
  4. Withdraw their consent

It is mandatory to have a clear privacy policy explaining which data you collect, why, and how long you keep it. You must also inform candidates about their rights and how they can contact you with privacy-related questions.

What is the difference between necessary and optional applicant information?

Necessary information is directly related to the job requirements and legally permissible to ask for. Optional information can improve the recruitment process but may only be requested with explicit consent and a clear explanation of the purpose.

Mandatory data you can always ask for includes job-related skills, work experience, educational background, availability, and contact details. This information is directly needed to assess whether someone is suitable for the role.

Optional information that can improve recruitment includes salary expectations, motivation for changing jobs, career goals, and working style preferences. This data helps with better matching, but is not essential for the basic assessment.

You are legally not allowed to ask for certain information during the application process, such as details about family composition, pregnancy plans, political beliefs, or religious background. Exceptions only exist when this information is directly relevant to performing the job.

When collecting optional information, you must always make it clear why you want this data, how you use it, and that candidates can decline without consequences for their application.

Which data helps you identify the best candidates?

Data on competencies, motivation drivers, culture fit indicators, and performance predictors help you identify the best candidates. This qualitative information goes beyond basic resume data and provides insight into potential success in the role.

Competency data that provides valuable insights includes concrete examples of problem-solving, leadership experiences, project results, and how challenges are handled. This information often better predicts how someone will perform than work experience alone.

Motivation indicators help determine whether candidates will stay motivated long-term. Important aspects include reasons for changing jobs, career goals, what energizes them at work, and which work environment they prefer.

For culture fit, you can look at communication style, collaboration preferences, response to feedback, and adaptation to change. These aspects often determine whether someone successfully integrates into your team and organization.

Performance predictors such as learning ability, initiative, result orientation, and perseverance can be derived from concrete examples and situations that candidates describe during interviews or in their motivation.

How do you organize applicant data for maximum efficiency?

Organize applicant data by using a structured system with clear categories, consistent labels, and easy search functions. This increases the efficiency of your recruitment team and ensures a better candidate experience through faster response times.

An effective organizational structure starts with standard categories for all candidate data. Distinguish between personal information, professional background, role-specific skills, and process information such as interview notes and assessments.

Use consistent tagging for easy filtering and searching. Tags can relate to skills, experience, availability, location, and process status. This makes it possible to quickly find relevant candidates for new vacancies.

Workflow optimization ensures data automatically ends up in the right place:

  • Automatic parsing of resume information into structured fields
  • Standard templates for interview notes and assessments
  • Clear process steps with associated data requirements
  • Integration between different communication channels

Ensure regular data cleanup by archiving old records, merging duplicate profiles, and updating outdated information. This keeps your database relevant and usable.

Which tools and systems support effective data management?

Modern recruitment software and ATS systems automate data management through centralized storage, intelligent parsing, and integrated workflows. These tools significantly reduce manual work and improve the quality of candidate data.

A good recruitment system centralizes all candidate interactions in one platform. This includes resumes, emails, WhatsApp messages, interview notes, and assessments. Having everything in one place gives you a complete picture of each candidate.

AI-driven features improve the quality of data management through automatic resume parsing, intelligent matching of skills to vacancies, and automated screening based on pre-set criteria. This saves time and increases the accuracy of candidate selection.

Integration capabilities with other systems are crucial for efficiency. Good recruitment software integrates with:

  1. Email platforms for automated communication
  2. Calendar systems for interview scheduling
  3. Job boards for automatic vacancy distribution
  4. HR systems for seamless transfer of hired candidates

How Applyfin helps manage applicant data

Applyfin offers a complete solution for managing applicant data by combining intelligent automation and centralized data management. Our platform helps recruitment teams to:

  • Centralize all candidate data – From resumes to WhatsApp conversations, everything in one place
  • Guarantee GDPR compliance – Automatic retention periods and privacy settings
  • Organize data intelligently – AI-driven tagging and categorization
  • Automate workflows – From resume parsing to candidate communication
  • Increase efficiency – Manage up to three times more applicants with the same team

With our advanced AI workflows, you transform manual administration into a streamlined process where recruiters can focus on what really matters: finding and selecting the best candidates.

Discover how Applyfin can optimize your recruitment process. Schedule a personal demo and experience for yourself how our recruitment platform takes your data management to the next level.

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