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Pr No. Co-0141-03-2026"Subscription of Google Tender - 139431650

The NATIONAL COMMISSION OF SENIOR CITIZENS has issued a Tender notice for the procurement of a Pr No. Co-0141-03-2026"Subscription of Google Bigquery for Cloud-Based Data Warehouse for Ncsc Scor and Edms, and Google Looker Studio Pro for the Data Visualization Platform Capable of Creating Inter in the Philippines. This Tender notice was published on 13 Apr 2026 and is scheduled to close on 20 Apr 2026, with an estimated Tender value of PHP 1000000.00. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 139431650, while the tender notice number is CO-0141-03-2026 and Registering on the platform.

Expired Tender

Procurement Summary

Country: Philippines

Summary: Pr No. Co-0141-03-2026"Subscription of Google Bigquery for Cloud-Based Data Warehouse for Ncsc Scor and Edms, and Google Looker Studio Pro for the Data Visualization Platform Capable of Creating Inter

Deadline: 20 Apr 2026

Posting Date: 13 Apr 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 139431650

Document Ref. No.: CO-0141-03-2026

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: PHP 1000000.00

Purchaser's Detail

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Tender Details

Tender are invited for PR No. CO-0141-03-2026"Subscription of Google BigQuery for cloud-based data warehouse for NCSC SCOR and EDMS, and Google Looker Studio Pro for the Data Visualization Platform capable of creating inter
Procurement Mode : Negotiated Procurement - Small Value Procurement (Sec. 53.9)
Classification : Goods
Category : Information Technology
Contract Duration : 30 Day/s
Budget for the Contract : PHP 1, 000, 000.00
Area of Delivery : Metro Manila
Description : Subscription of Google BigQuery for cloud-based data warehouse for NCSC SCOR and EDMS, and Google Looker Studio Pro for the Data Visualization Platform capable of creating interactive dashboards
"Supply of monthly Subscription to a Cloud-Hosted
Enterprise Data Warehouse Platform, providing a fully
managed and scalable environment for storing,
processing, and analyzing large institutional datasets."
"1. Compute & Query Processing
- The system must automatically scale based on usage
- Must support standard SQL for data analysis.
- Must allow querying of different data types (tables,
spreadsheets, files like JSON).
- Must support SQL-based Machine Learning, allowing
simple training and prediction inside the platform.
- Must accept both real-time and batch data uploads.
- Must optimize performance automatically."
"2. Storage
- Uses a storage system designed for fast data analysis.
- Compute and storage...

Documents

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