---
title: "Data Management Tooling"
ocid: "ocds-h6vhtk-02aee7"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-02aee7"
markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-02aee7.md"
json_url: "https://d3tenders.com/contract/ocds-h6vhtk-02aee7.json"
source: "Find A Tender Service"
current_stage: "Award"
buyer: "FINANCIAL CONDUCT AUTHORITY"
published: "2021-05-10"
---

# Data Management Tooling

Buyer: FINANCIAL CONDUCT AUTHORITY  
Current stage: Award  
OCID: ocds-h6vhtk-02aee7

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## Summary

The Financial Conduct Authority (FCA) is currently involved in a procurement process for a "Data Management Tooling" project, falling under the IT services sector in the UK. This procurement is at the award stage, with a total of five lots available. Key dates include the contract value of £589,671.80 for the Data Catalogue and £885,117.40 for the Data Quality, both signed on 15th February 2021. This open procedure is designed to establish mechanisms supporting the FCA's data management and architecture requirements over a potential period of up to four years.

This tender presents an excellent opportunity for businesses operating within data management, software development, and IT consulting sectors to expand their market presence. Companies that specialise in data modelling, integration, data quality tools, or services integrating with Salesforce could find competitive advantages, particularly those capable of offering innovative solutions that align with the FCA’s goal of harnessing advanced analytics for better financial regulation in the UK.

## Notice

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 Mapping

Lot 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 Catalogue

Lot 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 Quality

Lot 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 Engineering

Lot 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.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Find A Tender Service |
| Latest notice | https://www.find-tender.service.gov.uk/Notice/010102-2021 |
| 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 |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 10 May 2021 |
| Submission deadline | Not specified |
| Future notice date | Not specified |
| Award date | 15 Feb 2021 |
| Contract period | Not specified |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | £1,474,788 |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Cancelled |
| Awards status | Active, Unsuccessful |
| Contracts status | Active |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | FINANCIAL CONDUCT AUTHORITY |
| Locality | LONDON |
| Post town | East London |
| Postcode | E20 1JN |
| Country | England |
| ITL 1 | TLI London |
| ITL 2 | TLI4 Inner London - East |
| ITL 3 | TLI41 Hackney and Newham |
| Local authority | Newham |
| Electoral ward | Stratford Olympic Park |
| Westminster constituency | Stratford and Bow |
| Delivery location | Not specified |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | INFORMATICA SOFTWARE |

## CPV Codes

### Divisions

- 48 - Software package and information systems
- 64 - Postal and telecommunications services
- 72 - IT services: consulting, software development, Internet and support

### 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

## Release History

- 10 May 2021 at 11:25 - Award - Award Notice - https://www.find-tender.service.gov.uk/Notice/010102-2021

## Notice URLs

- http://www.fca.org.uk
- https://ted.europa.eu/udl?uri=TED:NOTICE:467900-2020:TEXT:EN:HTML
- https://www.delta-esourcing.com/delta/viewNotice.html?noticeId=592345899

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-02aee7. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-02aee7.json.