Notice Information
Notice Title
Data Management Tooling
Notice Description
The FCA is establishing a contractual mechanism to support Data Management and Architecture needs to the FCA for a period of two years with the option to extend for additional period of up to two years in yearly increments (i.e. 1 +1 years). The Contract will be owned and managed by the FCA, with provision for it to be used by itself and other Authorities. This procurement is comprised of 5 Lots. Lot 1 - Data Modelling, Lot 2 - Data Mapping, Lot 3 - Data Catalogue, Lot 4 - Data Quality and Lot 5 - Salesforce Model Reverse Engineering. The key driver for the Data Management tools is to help deliver the FCA's vision to 'harness the power of data and advanced analytics to support our Mission, to make us more efficient and effective, and to ultimately transform how we carry out financial regulation in the UK.'
Lot Information
Data Modelling
Lot 1 - Data Modelling - The tool must be either a SaaS tool or one which will run in our cloud data-centre and must allow us to produce different types of models: Concept Models - The purpose - Entity-relationship that conceptualize the FCA (no data attributes for entities). Logical Models - The purpose - Logical data models (entity-relationship diagrams - entities are attributed). Physical Models - The purpose - Data models defining the physical schema for a relational database
Data MappingLot 2 - Data Mapping - A Data Mapping tool is required by the FCA for the integration of data models. The acquisition of such a tool will provide a new capability for the FCA as previous work has been in spreadsheets conduction manual mapping between pairs of models. The mapping of models through spreadsheets does not provide a wholistic, navigable view of the interrelationships between models so an appropriate tool is required. The models that are to be mapped include: oEntity-relationship diagrams for working IT systems, oReference models (no underlying IT systems) both internal to the FCA and with external stakeholder organizations oModels of interfaces with services oModels of dataset definitions Some of the models are conceptual models; there is no corresponding IT system and thus no physical repository which could form the basis for a mapping. This highlights the importance of your tool's ability to import data models held in data modelling tools. Furthermore, it is crucial that we can map data models of our IT systems to our Enterprise Logical Data Model (ELDM). The ELDM is a reference model for the FCA; there is no corresponding IT system. The ELDM is at the heart of our desire to unify our data through the meaning of our data. The tool should be able to deal with large scale models. The smallest model to be mapped is expected be a dataset definition composed of a single object with circa 50 attributes. The largest model to be mapped is expected to be composed of circa 500 entities where each entity could have up to around 650 attributes. Similarly, the tool should be able to scale in terms of the number of models it can handle. It is currently believed that there will be fewer than 10 large models.
Data CatalogueLot 3 - Data Catalogue - The FCA requires a tool that will provide a fully integrated data catalogue to assist users to identify, locate and use data more efficiently and understand the data that already exists within the FCA (including key characteristics pertaining to that data). The FCA expect the Data Catalogue to support implementation of our data governance capability, including, but not limited to: oMetadata Management (including Data Lineage) oData Ownership oData Quality
Data QualityLot 4 - Data Quality - The FCA requires a dedicated Data Quality Tool that will integrate across all data pipelines to assess the quality of data. The tool will support the remediation of identified issues where appropriate and provide business users with scorecards and indicators to report the quality of our data. We expect the Data Quality tool to support implementation of, but not limited to: Data Quality Profiling Data Quality Rules (validation) Data Quality monitoring (through dashboard, with the functionality to integrate with our visualisation tool i.e. Tableau)
Salesforce Model Reverse EngineeringLot 5 - Salesforce Model Reverse Engineering - The FCA wishes to take the structural and descriptive metadata from a Salesforce instance (Production or Sandbox) and create an analogous relational data model for use within a relational data modelling tool. The Salesforce Model Reverse Engineering Tool should also be able to process the Salesforce metadata. For example, we would like to be able to have rich facilities to filter out objects based on naming conventions. The main use cases envisaged for this tool include: Reverse-engineering of a Salesforce instance's metadata to create a relational data model of the instance suitable for use in a data modelling tool. This requirement is fundamental. Comparing Salesforce instance metadata so we can identify differences, similarities between two instances. The creation of Subject Areas (i.e. views of a subset of the Objects and Relationships of a Salesforce instance) prior to the creation of the corresponding relational data model.
Notice Details
Publication & Lifecycle
- Open Contracting ID
- ocds-h6vhtk-02aee7
- Publication Source
- Find A Tender Service
- Latest Notice
- https://www.find-tender.service.gov.uk/Notice/010102-2021
- Current Stage
- Award
- All Stages
- Award
Procurement Classification
- Notice Type
- Award Notice
- Procurement Type
- Standard
- Procurement Category
- Services
- Procurement Method
- Open
- Procurement Method Details
- Open procedure
- Tender Suitability
- Not specified
- Awardee Scale
- Large
Common Procurement Vocabulary (CPV)
- CPV Divisions
48 - Software package and information systems
64 - Postal and telecommunications services
72 - IT services: consulting, software development, Internet and support
-
- CPV Codes
48000000 - Software package and information systems
48600000 - Database and operating software package
48610000 - Database systems
48611000 - Database software package
48612000 - Database-management system
48613000 - Electronic data management (EDM)
64216110 - Electronic data exchange services
72000000 - IT services: consulting, software development, Internet and support
72212600 - Database and operating software development services
72212610 - Database software development services
72300000 - Data services
72310000 - Data-processing services
72311100 - Data conversion services
72312000 - Data entry services
72312100 - Data preparation services
72313000 - Data capture services
72314000 - Data collection and collation services
72315000 - Data network management and support services
72315100 - Data network support services
72315200 - Data network management services
72316000 - Data analysis services
72317000 - Data storage services
72318000 - Data transmission services
72319000 - Data supply services
72320000 - Database services
72322000 - Data management services
Notice Value(s)
- Tender Value
- Not specified
- Lots Value
- Not specified
- Awards Value
- Not specified
- Contracts Value
- £1,474,788 £1M-£10M
Notice Dates
- Publication Date
- 10 May 20214 years ago
- Submission Deadline
- Not specified
- Future Notice Date
- Not specified
- Award Date
- 15 Feb 20215 years ago
- Contract Period
- Not specified - Not specified
- Recurrence
- Not specified
Notice Status
- Tender Status
- Complete
- Lots Status
- Cancelled
- Awards Status
- Active, Unsuccessful
- Contracts Status
- Active
Buyer & Supplier
Contracting Authority (Buyer)
- Main Buyer
- FINANCIAL CONDUCT AUTHORITY
- Contact Name
- Lea-Rose Clarke
- Contact Email
- isprocurement@fca.org.uk
- Contact Phone
- +44 2070661000
Buyer Location
- Locality
- LONDON
- Postcode
- E20 1JN
- Post Town
- East London
- Country
- England
-
- Major Region (ITL 1)
- TLI London
- Basic Region (ITL 2)
- TLI4 Inner London - East
- Small Region (ITL 3)
- TLI41 Hackney and Newham
- Delivery Location
- Not specified
-
- Local Authority
- Newham
- Electoral Ward
- Stratford Olympic Park
- Westminster Constituency
- Stratford and Bow
Further Information
Open Contracting Data Standard (OCDS)
View full OCDS Record for this contracting process
The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.
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