Lilian Elizabeth Maidana Martinez
Between 2023 and 2026 in DNCP tenders, Lilian Elizabeth Maidana Martinez appears as a supplier in 6 records from 3 sources (DNCP tenders, DNCP awards and DNCP supplier registry); in DNCP tenders that is 3 unique processes. The most frequent buyer, Gobierno Departamental de Cordillera (CORDILLERA), accounts for 100% of the records shared with buyers.
Create and download this entity’s chart- Source records
- 6
- Sources
- 3
Observed volume
3 processes
3 source rows in DNCP tenders. Counts from other sources remain separate.
Latest activity
Sep 2026
1 record in the period.
Leading buyer by amount
100% of observed PYG amount; top three 100%.
History
Historical series by source
5 independent series
Relationships
Top counterparties in the records
Ranked by shared record count, without adding different currencies.
Relationship concentration
Reliance on leading counterparties
Each currency is calculated separately. A high share may reflect specialization, scale, or source coverage and is not by itself evidence of misconduct.
Recent activity
Latest published records
Ordered by the most relevant award, publication, or event date in each source. An identical event published by multiple lifecycle sources is shown once and retains every source in the first column. This does not claim the activity happened today.
| Source | Award date | Publication date | Title | Buyer | Status | Amount | Currency |
|---|---|---|---|---|---|---|---|
| DNCP tenders | Sep 02, 2026 | Aug 12, 2026 | SERVICIOS DE FISCALIZACIÓN DEL PROGRAMA HAMBRE CERO EN NUESTRAS ESCUELAS Y SISTEMA EDUCATIVO | Gobierno Departamental de Cordillera (CORDILLERA) | publicado | ₲108,000,000 | PYG |
Entity monitoring
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Coverage and provenance
Sources contributing to this profile
Activity histories and analytical measures are separated by source and metric family; no cross-family time series is added together.
Headline activity and concentration use Licitaciones históricas de la DNCP; source histories are kept separate and are never added across datasets.
This profile consolidates source keys within one country and role only through exact identifiers or an unambiguous normalized legal name. Currencies and unit scales remain separate; similar names are not assumed to be the same organization.