  Bounce Back Loan is amongst a number of UK business financial support schemes
launched by UK Government in 2020 amidst pandemic lockdown. Through these
schemes, struggling businesses are provided financial support to weather
economic slowdown from pandemic lockdown. {\pounds}43.5bn loan value has been
provided as of 17th Dec2020. However, with no major checks for granting these
loans and looming prospect of loan losses from write-offs from failed
businesses and fraud, this paper theorizes prospect of applying spatiotemporal
modelling technique to explore if geospatial patterns and temporal analysis
could aid design of loan grant criteria for schemes. Application of Clustering
and Visual Analytics framework to business demographics, survival rate and
Sector concentration shows Inner and Outer London spatial patterns which
historic business failures and reversal of the patterns under COVID-19 implying
sector influence on spatial clusters. Combination of unsupervised clustering
technique with multinomial logistic regression modelling on research datasets
complimented by additional datasets on other support schemes, business
structure and financial crime, is recommended for modelling business
vulnerability to certain types of financial market or economic condition. The
limitations of clustering technique for high dimensional is discussed along
with relevance of an applicable model for continuing the research through next
steps.
