Let me know when the data is updated again

SERVICIOS DE ASESORÍA PARA LA EVALUACIÓN DE CRITERIOS DE OPERACIONES DERIVADAS

SHARE

The copied or shared URL is the exact current page, including any filters applied if you are in the search.
REPORT

What do you want to report?

RECORD SUMMARY ocds-0ud2q6-DAGA/101/2017

Total amount

531,000

Number of contracts

Buying unit

GERENCIA DE ADQUISICIONES (PAG 21/24 DE LA SECCIÓN XI.3) belonging to BANCO NACIONAL DE OBRAS Y SERVICIOS PÚBLICOS S.N.C.

PLANNING

No data

CALL FOR TENDERS

Government agency

BANCO NACIONAL DE OBRAS Y SERVICIOS PÚBLICOS S.N.C.

Buying unit

GERENCIA DE ADQUISICIONES (PAG 21/24 DE LA SECCIÓN XI.3)

Call type

INVITACION A TRES PERSONAS (limited)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code DAGA/101/2017

Title

SERVICIOS DE ASESORÍA PARA LA EVALUACIÓN DE CRITERIOS DE OPERACIONES DERIVADAS

View contract

Supplier(s)

AIB ANALYSIC S.C.

Amount

531,000 pesos mexicanos

Award status

active

Signature date

23 de octubre de 2017

Execution period

23 de octubre de 2017 to 22 de diciembre de 2017

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

PODER

Note: CSV download is temporarily disabled due to the server migration. Please use the JSON format to import the data.

Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.

R (json)

Add this to your code:



                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-DAGA%2F101%2F2017")

Python (json)

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-DAGA%2F101%2F2017')   

                        data = json.loads(response.read())

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-DAGA%2F101%2F2017')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

SERVICIOS DE ASESORÍA PARA LA EVALUACIÓN DE CRITERIOS DE OPERACIONES DERIVADAS

RECORD SUMMARY ocds-0ud2q6-DAGA/101/2017

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences