Merge pull request #2631 from mpalomares-he/patch-1

Updated index.md with Homes England case using Splink Address Matching

docs/index.md

@@ -73,6 +73,7 @@ Here is a list of some of our known users and their use cases:
 	- [Office for Health Improvement and Disparities](https://www.gov.uk/government/organisations/office-for-health-improvement-and-disparities) linked Health and Justice data to [assess the pathways between probation and specialist alcohol and drug treatment services](https://www.gov.uk/government/statistics/pathways-between-probation-and-addiction-treatment-in-england#:~:text=Details,of%20Health%20and%20Social%20Care) as part of the [Better Outcomes through Linked Data programme](https://www.gov.uk/government/publications/ministry-of-justice-better-outcomes-through-linked-data-bold)
  	- [Gateshead Council](https://www.gateshead.gov.uk/), in partnership with the [National Innovation Centre for Data](https://www.nicd.org.uk/) are creating a [single view of debt](https://nicd.org.uk/knowledge-hub/an-end-to-end-guide-to-overcoming-unique-identifier-challenges-with-splink)
   	- [NHS England](https://www.england.nhs.uk/) is working on developing an alternative data linkage model using splink as the core engine for a new probabilistic data linkage service. This is in order to improve linkage and linkage explainability across NHS datasets. Code now available on [github](https://github.com/nhsengland/NHSE_probabilistic_linkage). 
+	- [Homes England](https://www.gov.uk/government/organisations/homes-england) has been working with the new developed Splink address matching version. We have succesfully tested and checked the linkage between Land Registry Price Paid dataset and the new Ordnance Survey National Geographical Dataset (NGD) but adddresses. The current linkage performs around 30 Million records in less than 5 hours with a high accuracy in a Databricks environment. This is helping Homes England with a vital component to identify and monitor new builds that will contribute to the 1.5 M homes mandate.
 
 === "Public Sector (International)"