---
title: "Transaction Risking DataOps"
ocid: "ocds-b5fd17-5ca501fa-e7b8-4347-95d3-2a3e419a5198"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-5ca501fa-e7b8-4347-95d3-2a3e419a5198"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-5ca501fa-e7b8-4347-95d3-2a3e419a5198.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-5ca501fa-e7b8-4347-95d3-2a3e419a5198.json"
source: "Contracts Finder"
current_stage: "Award"
buyer: "DEPARTMENT FOR WORK AND PENSIONS"
published: "2022-08-08"
---

# Transaction Risking DataOps

Buyer: DEPARTMENT FOR WORK AND PENSIONS  
Current stage: Award  
OCID: ocds-b5fd17-5ca501fa-e7b8-4347-95d3-2a3e419a5198

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## Summary

The Department for Work and Pensions has awarded a contract for the project titled "Transaction Risking DataOps" to Scott Logic. This contract falls under the IT services category and involves developing a cloud-based analytics platform to enhance fraud and error prevention in benefit payments. The procurement method used was selective, with a tender period that ended on 7th August 2022. The contract value is £1,624,184, and the contract period is from 10th August 2022 to 31st March 2023, with the procurement stage at the award phase.

This tender presents an opportunity for businesses providing IT services, consulting, and software development to compete by offering solutions for real-time fraud and error prevention in benefit systems. Companies with expertise in cloud-based analytics, machine learning, and data integration can find potential for growth in this project. The contract, issued by the Department for Work and Pensions, aims to improve fraud detection capabilities and streamline data workflows to reduce benefit overpayments and enhance decision-making processes.

## Notice

The Covid-19 pandemic has caused an unprecedented surge in demand on the welfare system, resulting in a hugely increased operational workload across DWP. To process benefit claims and pay customers their entitlement, there was an easement of controls that led to increasing levels of fraud and error. This is now at unprecedented levels, with PS8.4bn overpaid in 2020/21. The Integrated Risk and Intelligence Service (IRIS) provides a service to support identification of singleton and organised fraud and error. IRIS has been challenged to be more real time and adapt to changing fraud risks. To deliver a better service, IRIS needs to: - Accelerate fraud and error prevention at the point of application and in advance of payment to reduce benefit overpayment and lower the debt burden on claimants. - Enhance DWP's fraud and error decision making through consolidating sources of risk into a single view of risk to inform routing and intervention types. - Better target operational resource to focus on the highest risk cases associated with the largest financial impact, enabling resourcing to risk. This is being achieved through investment in a cloud-based analytics platform where new fraud and error identification capabilities will be developed including machine learning, and a risk engine that will act as a funnel for all the different risk types and provide a triage function. The project will deliver a core data integration capability that: - Implements event-driven ETL pipelines and self-serve tooling to provide re-useable and extensible data workflows by integrating data from currently available systems and lines of business as well as securely ingesting and integrating 3rd party data (e.g. through automated data pipelines or by setting up API's). Some of these systems may not yet have the ability to interface with Transaction Risking and the infrastructure to support integration may not yet be in place. The Department is driving towards real-time analytics and so data should be incorporated in near real time where that is possible. - Implements a data treatment service with obfuscation of personal data and security controls in place to ensure individuals and tools have appropriate data visibility, while retaining an appropriate level of detail so that the data can be linked and meaningful analysis of the data is still possible. - Implements a data matching capability to resolve common entities across all data sets to enable claimants (and other entities of interest) to be tracked across multiple data sources. This will include creating the ability to link personal data securely in a cloud environment. - Conforms to a consistent data model so data sets from multiple source systems are interoperable, making analytics development and insight generation more efficient. - Is extensible to enable further integration of other event data sources in future e.g. other lines of business or data sources.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/206f229d-9fa3-4d25-a750-9c5f20a99c24 |
| Notice type | Award Notice |
| Procurement type | Framework |
| Procurement category | Services |
| Procurement method | Selective |
| Procurement method details | Call-off from a framework agreement |
| Tender suitability | Not specified |
| Awardee scale | Large |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 8 Aug 2022 |
| Submission deadline | 7 Aug 2022 |
| Future notice date | Not specified |
| Award date | 7 Aug 2022 |
| Contract period | 9 Aug 2022 - 31 Mar 2023 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £1,624,184 |
| Lots value | Not specified |
| Awards value | £1,624,184 |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Not specified |
| Awards status | Active |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | DEPARTMENT FOR WORK AND PENSIONS |
| Locality | BLACKPOOL |
| Post town | Blackpool |
| Postcode | FY4 5ES |
| Country | England |
| ITL 1 | TLD North West (England) |
| ITL 2 | TLD4 Lancashire |
| ITL 3 | TLD42 Blackpool |
| Local authority | Blackpool |
| Electoral ward | Stanley |
| Westminster constituency | Blackpool South |
| Delivery location | TLI London |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | SCOTT LOGIC |

## CPV Codes

### Divisions

- 72 - IT services: consulting, software development, Internet and support

### Codes

- 72000000 - IT services: consulting, software development, Internet and support

## Release History

- 8 Aug 2022 at 16:24 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/206f229d-9fa3-4d25-a750-9c5f20a99c24

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/206f229d-9fa3-4d25-a750-9c5f20a99c24
  8th August 2022 - Awarded contract notice on Contracts Finder
- https://www.contractsfinder.service.gov.uk/Notice/Attachment/b011d9b5-3c03-4dfa-93d0-47118b4b01c9
  n/a

## 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-b5fd17-5ca501fa-e7b8-4347-95d3-2a3e419a5198. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-5ca501fa-e7b8-4347-95d3-2a3e419a5198.json.