Origins software enables organisations to profile their own customer, service user and employee data by matching on their cultural heritage at an individual level. This granular segmentation enables organisations to infill where ethnicity data might be missing, supporting organisations to offer tailored services and identify which minority groups could be future customers.
Our software service is designed to improve the way you engage with your customers, service user and patients, ensuring that your communication is relevant, impactful and tailored to their unique backgrounds.
By integrating data directly into your customer or patient records, you can personalise your outreach efforts, make highly targeted messages and build stronger relationships with your audience. This leads to better engagement, improved customer satisfaction and more effective campaigns across all communication channels.
Our software allows you to incorporate granular data into your customer, service user or employee records. This enables you to tailor communication strategies to specific groups, improving the relevance of your messages and increasing engagement.
With comprehensive data on all customer, service users and employee records, our software service ensures you have a complete view of each individual’s cultural heritage, enabling you to make the most informed decisions.
minority groups
Our software stands out due to the granularity and accuracy of the Origins segmentation. With over 250 Origins types available, our software offers unmatched precision, allowing you to tailor strategies at a highly detailed level.
It helps you track and measure diversity and inclusion efforts to ensure compliance with statutory requirements. Additionally, data is updated annually, ensuring that your decisions are based on the most current insights.
Origins software is updated on an annual basis. This includes updates to the underlying personal and family reference file as well as improvement to the overall functionality of the software.
Provided your customer, service user or employee files are free of data capture errors, the software usually codes over 99% of records. The residue are either names which the system does not recognise, because they are very rare, or ones which the system cannot allocate to any particular Origins type.
Origins software can be used to identify persons whose names come from more than one heritage – for example a person with an English personal name and a Finnish family name. The confidence score given to each name combination can also be used to select or deselect people who are most likely to be of mixed ancestry. Restricting a communication to names with high confidence scores is an effective way of avoiding communicating with individuals who are least likely to belong to the selected target group.
From analysis of national data, it is evident that most people marry within their own community and that when a woman marries a man from a different community, it is most commonly, but obviously not always, a man from an Origins type that is relatively culturally close. This is a source of error if Origins were being used to classify individuals. However, most uses of Origins are to profile populations rather than to deploy strategies based on the Origins code of individuals.
Origins can be used to identify instances where the Origins code of the personal name differs from the Origins code of the family name, so it is possible to analyse these individuals as a “mixed marriage” group or indeed to restrict analysis to those people whose personal and family names belong to the same Origins group or sub-group.
Origins software can handle large volumes of data and is capable of processing millions of records in a few minutes.
Origins software appends on Origins groups, subgroups and types to customer, service user and employee records. The software is available as a PC version which is downloadable from the internet or alternatively the software can be integrated you’re your own platforms using an API server.
Users of the Origins software need to satisfy themselves that they have adequately considered regulations in relation to both:
1. Personal data
2. Sensitive personal data
Because the requirements of GDPR vary depending both on the status of the organisation and the uses to which data is put Webber Phillips are not in a position to give legal advice to individual users. However the software provides a number of different methods for appending on Origins to meet the needs of different users to ensure that their use of personal data is compliant with the Act.
