Vacancies from different sources often come in many formats. Each platform and client presents vacancies differently and provides different data points. NIXZ normalizes and enriches this data, including through AI and machine learning, so you can use it as consistently as possible.
This helps with search, filtering, candidate matching, and any connection to your ATS or CRM.
From source data to a usable vacancy
When NIXZ retrieves a vacancy, the original source data is processed into a usable vacancy view.
This includes, among other things:
- standardized job titles;
- recognizing the company or client;
- exact location detection;
- rewriting or structuring the vacancy text;
- parsing requirements and preferences;
- normalizing start dates and closing dates;
- standardizing rates, scales, and working hours;
- automatically categorizing by sector.
Not every source provides the same fields. That is why the available information can differ per vacancy.
Structuring and normalization
NIXZ tries to structure vacancy data and normalize it where possible. Think of dates, locations, hours, categories, and other fields that are delivered slightly differently across sources.
That makes it easier to compare vacancies, filter them, and pass them on to other systems.
Original source information
The original source remains important. In the vacancy view, you can open the original vacancy or review the source details where available.
This is useful when you want to verify how a vacancy was published on the original platform, or when specific details in the source provide extra context.
Use in ATS integrations
When vacancies are forwarded directly to your ATS, NIXZ uses the processed and mapped data. During onboarding, we agree which fields matter and how they should fit into your ATS data structure.
This helps prevent vacancies from being forwarded only technically, without fitting properly into your existing ATS process.