One of
the major risks involved with lending is the risk of
default.
Manova Research offers banks & financial institutions
a range of statistical solutions that include statistical
modeling, data mining, and credit scoring. The analysis
uses quantitative knowledge of the pay back performance
along with characteristics of past loans in electronic
databases to predict the performance of future loans.
The probability of a loan seeker
turning a defaulter is modeled based on financial parameters
such as debt to income ratio, credit card debts, number
of dependents, years with current employer, and years
at current address.
Manova Research uses Effective clustering
to identify customer groups; associate new customers
with an appropriate customer group and facilitate targeted
marketing.
The sophistication and the volume
of financial crimes are increasing by the day.
Given the level of computerization and automation, financial
data recorded by banks are most often high quality,
complete, and reliable.
Effective data mining can help retrieve relevant information
from these databases and aid speedy investigation.
It can even be used by criminal investigators who have
no background in statistical analysis or modeling.
Manova Research
services in the Financial domain include Design
and construction of data warehouses for multidimensional
data analysis and data mining.
This can be used to:
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