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Rocket Software para dministrar el Balanced Scorecard

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RECORD SUMMARY ocds-0ud2q6-06820001-079-05

Total amount

556,432.6

Number of contracts

Buying unit

Dirección General belonging to SOCIEDAD HIPOTECARIA FEDERAL S.N.C.

PLANNING

No data

CALL FOR TENDERS

Government agency

SOCIEDAD HIPOTECARIA FEDERAL S.N.C.

Buying unit

Dirección General (Code: 6820001 )

Call type

Adjudicacion Directa (direct)

Scope

Nacional

Purchase type

Adquisiciones (goods)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code S /N

Title

Rocket Software para dministrar el Balanced Scorecard

View contract

Supplier(s)

GRUPO HARMES, S.A. DE C.V.

Amount

556,432.6 pesos mexicanos

Award status

active

Signature date

23 de diciembre de 2005

Execution period

23 de diciembre de 2005 to Fecha desconocida

Official documents

See awardNotice 1 on official site web.compranet.gob.mx:8000

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

CompraNet 3.0

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-0ud2q6-06820001-079-05")

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-0ud2q6-06820001-079-05')   

                        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-0ud2q6-06820001-079-05')

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Rocket Software para dministrar el Balanced Scorecard

RECORD SUMMARY ocds-0ud2q6-06820001-079-05

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

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