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Deloitte Datta analytics
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Deloitte Datta analytics
the real power of data lies in the use of analytical tools that allow the user to extract useful knowledge and quantify the factors that impact events
- Customer sentiment analysis, customer churn, geo-spatial analysis of key operation centres, workforce planning, recruiting, or risk- sensing.
The analysis of data requires some IT infrastructure to support the work
- database management systems include SQL, Oracle, Sybase
The credit scoring model is a tool that is typically used in the decision-making process of accepting or rejecting a loan
CASE STUDY: In this document we outline one important application of advanced analytics
model interpretation
Advanced analytics refers to a variety of statistical methods that are used to compute likelihoods for an event occurring
In order for the model to be able to make accurate forecasts it needs to see enough examples of what constitutes a default
management of the database
model refirements
model perfomance
- predictive power
- Godensess of fit
- confussion matrix
Probability of missing a payment
- Health score
- Credit scoring model
- New clients
- Credit scoring model
- Health score
Test the ability to give the correct answer to a new case
model interpretation
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- Mind Map on Deloitte Datta analytics, created by johana aragon on 19/05/2019.
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- johana aragon · May 2019
- Updated
- May 19, 2019
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