Rko - Data Analysis, Machine Learning and Data Management Tender

Notice for Rko - Data Analysis, Machine Learning and Data Management in Norway. The reference ID of the tender is 100997780 and it is closing on 29 Feb 2028.

Tender Details

Country: Norway
Summary: Rko - Data Analysis, Machine Learning and Data Management
NOT Ref No: 100997780
Deadline: 29 Feb 2028
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
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CPV Classification:
72316000 - Data analysis services
72313000 - Data capture services
72314000 - Data collection and collation services
72250000 - System and support services
72320000 - Database services
72322000 - Data management services
48460000 - Analytical, scientific, mathematical or forecasting software package
48610000 - Database systems
48800000 - Information systems and servers
48920000 - Office automation software package
72212900 - Miscellaneous software development services and computer systems
72220000 - Systems and technical consultancy services
72222000 - Information systems or technology strategic review and planning services
72222100 - Information systems or technology strategic review services
72222300 - Information technology services
72240000 - Systems analysis and programming services
72246000 - Systems consultancy services
Purchaser's Detail:
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Description:
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Documents:

Tender Notice

100997780-Norway.zip

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Rko - Data Analysis, Machine Learning and Data Management - Norway Tender

The ROUTE AS, a Government sector organization in Norway, has announced a new tender for Rko - Data Analysis, Machine Learning and Data Management. This tender is published on NorwayTenders under NOT Ref No: 100997780 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2028-02-29.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.

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