channel data

Previous years’ statistical releases have not included ethnicity data due to the large proportion of referrals that do not have any ethnicity data. A notable increase occurred in August 2024, immediately following the Southport attack, where referrals rose by 66% compared with August 2023, and by 53% compared with August 2022. When examining the data by month, the total number of referrals to Prevent between 29 July 2024 and 31 March 2025 was higher in nearly all months compared with the same months in the previous 2 years, except for November and December 2024. This represents a large increase of 34% (up from 4,722 referrals) compared to the same period in year ending March 2024 and 37% increase (up from 4,647 referrals) compared with the same period in year ending March 2023. This increase is likely primarily due to a change in methodology (see the user guide), so users should exercise caution when comparing adoption figures with previous years.

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Referrals during this period were 82% higher than in the same quarter of the previous year (1,802) and 64% higher than during the equivalent period 2 years earlier (2,005). A further sharp increase was observed between January and March 2025 (3,287 referrals), coinciding with the public trial of the Southport case. This includes monthly data on referrals, cases discussed at Channel panel and cases adopted to identify trends after the attack between 29 July 2024 to 31 March 2025. This sub section reports trends in Prevent referrals and Channel cases following the Southport incident on 29 July 2024.

This also represents the second largest year-on-year percentage increase since statistics were published (referrals in the year ending March 2022 rose by 30% compared with the previous year). The proportion of Prevent referrals that were adopted as a Channel case has seen a large increase in the latest year ending March 2025, up by 10 percentage points (change from 7% to 17%) compared to the previous year. The data presented in this release represents activity recorded by the police and local authority partners.

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The police screen and assess all Prevent referrals for genuine susceptibility to radicalisation. If a member https://ordercialisjlp.com/?p=12632 of the public, or someone working with the public, has a concern about a person they know who may be susceptible to radicalisation, they can raise their concerns with their local authority safeguarding team or the police for an assessment. The further the extraction date is from the reference period, the more likely it is that cases will have been closed, which may influence comparability with earlier or future releases. Figures within PCMT are updated continuously by practitioners, and therefore represent a snapshot in time, providing an indication of trends rather than definitive counts.

channel data

If there is an escalation of risk, where deemed appropriate, the police may transfer a case from Channel to police-led partnership management. This represents a 27% increase compared with the previous year (6,922) and is the highest number of referrals recorded in a single year since the data series began in April 2015. Add context and glossary of metrics, calculations etc to improve Neo’s understanding of your business data. The ‘Individuals referred to and supported through the Prevent Programme’ release is an Official Statistics in development output produced to the highest professional standards and free from political interference.

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channel data

This is undoubtedly providing us with a competitive advantage, ensuring we have near real time visibility into forecast status with our suppliers and helping us make more reliable commitments to our customers. The digital information is key to providing timely and accurate visibility, streamlining our compliance check processes, improving their efficiency and reliability. Working with e2open enables us to better fulfill short supplier lead times, reduce inventory levels, and dramatically improve inventory turns—all while lowering the total cost of ownership to our customers. When implemented properly, the right technology can become the glue that connects disparate partners and functions of the supply chain. The largest demand network in the industry helps accelerate onboarding and connects all partners worldwide.

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As noted above, this increase may have been influenced by awareness surrounding Rudakubana’s case. The increase observed this year may also, in part, reflect heightened public awareness of Prevent following the Southport incident in July 2024. Users should therefore exercise caution when comparing adopted case figures with previous years, as this change represents a break in the time series. In previous years, adopted cases were counted at the point when the referred individual provided consent.

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  • Consequently, trends observed in the early years of reporting should be interpreted with caution, as improvements in data coverage and recording practices may affect comparability over time.
  • Other types of concern, such as ERW and IE, also saw increases of 61% and 14% respectively in the last quarter, though these were less pronounced than the rise observed in the ‘Fascination with extreme violence or mass casualty attacks’ category.
  • Therefore, the trends in this data over the next few years will need to be carefully interpreted as data coverage and quality improves.
  • The police screen and assess all Prevent referrals for genuine susceptibility to radicalisation.
  • Individuals aged between 18 and 21 accounted for the highest proportion of referrals for ‘InCel Extremism’ concerns (23%; 15 of 66) and ‘Left Wing Extremism’ concerns (29%; 6 of 21).

The type of concern categories were updated within the new PCMT to better describe the nature of concerns that are referred into Prevent. This section reports statistics on the individuals referred to Prevent and progressing to Channel, according to the type of concern recorded. The Home Office and CTP are currently working to improve the MHND categories to align with NHS standards. The MHND categories presented in this release are based on those currently recorded in PCMT. As this data reporting is a new element on PCMT we expect that data quality will improve over time. The Home Office and CTP are currently working to improve the ethnicity categories to align with ONS standards.

  • This section reports statistics on the individuals referred to Prevent and progressing to Channel, according to the type of concern recorded.
  • The MHND categories presented in this release are based on those currently recorded in PCMT.
  • If a person refuses to engage with Channel/PMAP support, or is not suitable for management in Channel/PMAP (due to being deemed too high-risk), CTP will consider whether sufficient concerns remain to refer the case to PLP for further management.
  • It has been produced by statisticians working in the Home Office Analysis and Insight Directorate in accordance with the Home Office’s ‘Statement of compliance with the Code of Practice for Official Statistics’ which covers our policy on revisions and other matters.
  • The e2open capabilities through supplier collaboration have enabled Jabil to standardize and digitalize our forecast communication process for all suppliers, providing increased optionality for more efficient collaboration.
  • When implemented properly, the right technology can become the glue that connects disparate partners and functions of the supply chain.

4 The Channel programme

channel data

Map the performance and the roles of all parties involved in a transaction to understand fast-moving market trends. Flexible connectivity and support for multiple formats and data types make connecting easy, breaking down barriers and driving adoption even when partners’ IT resources are limited. Leverage streamlined channel processes and actionable data to gain insights into partner activity, performance, purchasing behaviors, and market trends. Tracking and reporting partners’ sales, maintaining inventory levels, preventing channel stuffing, and detecting account violations and gray market activity all require the complex analysis of large data volumes. Collecting trustworthy channel data and using it effectively can be difficult. With e2open Channel Data Management, organizations can access decision-grade data and run smooth channel operations to drive efficiency, minimize conflicts, and increase sales.

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