The
risk is the inevitable part of the decision making process. The
risk cannot be avoided but can be minimized. During the decision making
process we would like to base our judgments on precise reposts,
analyses which can’t be obtained without the use of dedicated
methodologies and tools. Very few people realize how much valuable
information is hidden in our data. The extraction of this information
can raise the awareness of our decisions and reduce the resulting risk.
By applying our analytical approach we would like to offer
you our cooperation in the following areas:
- Customer profile analysis:
The customer profile analysis allows for
directing your offer (for instance, marketing offer) to the selected
group of customers, or creating the offer that will reach the wider
range of customers.
- Fraud detection: The
detection of abnormal patterns in the
data which might indicate frauds. The fraud detection is particularly
important in electronic transactions and can reduce the risk of
potential losses.
- Cluster analysis in market
research: The cluster analysis is
used to partition the general population of consumers into market
segments and allows for better understanding of the relationships
between different groups of customers.
- Churn analysis:
Customers become “churners” when they
discontinue to their subscription and move their business to
competitor. The purpose of churn analysis is to prevent customer
migration.
- Sales prediction:
The application of predictive models to
historical data identifies rules and trends indicating growth and drop
in sales. The correlation between incomes and different factors can be
determined. The sales prediction facilitates the sales strategy
creation.
- Credit scoring: Creation
of models allowing for risk assessment in credit granting process.
- Location and region analysis: Location
and region analysis is
particularly important during the development of sales network. We can
recommend the location based on financial standing of shops,
restaurants in the surrounding area. We also take into account regional
data describing the incomes of the local population, their size etc.
- Cost optimization:
Reduction of redundant operations, processes, risks in order to improve
management.
