Funding: £2086.00

This DIAVs has been done in association with Institute for Analytics and Data Science for Unum Group. A Data Analytics Innovation Voucher funded by the Economics and Social Science Council (ESRC) Business and Local Government Data Research Centre (BLGDRC) supported the project.

The aim is to bring together information regarding complaints, inspections and enforcement actions relating to businesses across Essex. The purpose is to enable intelligence gathering and information using new technologies such as artificial intelligence, machine learning, web-scarping, and natural language processing. The scraped and processed information may help in shared understanding of businesses of concern, help organisations understand those that are currently under their radar, and have a wider understanding of the tools available across services to address concerns.

The objectives are given as follows:

• Given the minimal amount of keywords such as Area and their Postcode, identify the online listed properties with their details Address, Post-Code, Propoerty type, url, number of bedrooms and Price.

• The searching procedure requires the smart approach to identify a relevant information in the data or preparing a database, where data mining may help to answer various questions.

• The tool that need to be developed can either use Python or R.