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RamG Data Analytics & Insights » Analytics Ideas and Point of Views

RamG Data Analytics and Insights. Analytics Ideas and Point of Views. March 2, 2013. Domain Know How: Banking -Mortgage Loan Overview. Mortgage or Home Loan: overview. What are the different types of mortgage loan? What is mortgage loan life cycle? Marketing Strategy to grow Mortgage Business. How to calculate Customer Life Time Value (CLTV) for mortgage customers? Reverse Mortgage Loan: find drivers of customer attrition using decision tree. Big Data Analytics Driving value using unstructured data.

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RamG Data Analytics & Insights » Analytics Ideas and Point of Views | ramganalytics.com Reviews

https://ramganalytics.com

RamG Data Analytics and Insights. Analytics Ideas and Point of Views. March 2, 2013. Domain Know How: Banking -Mortgage Loan Overview. Mortgage or Home Loan: overview. What are the different types of mortgage loan? What is mortgage loan life cycle? Marketing Strategy to grow Mortgage Business. How to calculate Customer Life Time Value (CLTV) for mortgage customers? Reverse Mortgage Loan: find drivers of customer attrition using decision tree. Big Data Analytics Driving value using unstructured data.

INTERNAL PAGES

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Leveraging Big Data Analytics across Customer Life Cycle for Retail Bank | RamG Data Analytics and Insights

http://www.ramganalytics.com/leveraging-big-data-analytics-across-customer-life-cycle-for-retail-bank

RamG Data Analytics and Insights. Want to discuss on Data Science and Advanced Analytics? Leveraging Big Data Analytics across Customer Life Cycle for Retail Bank. March 17, 2013. July 3, 2013. Retail Bank and Big Data – Examples across life cycle. Big Data Analytics Driving… →. Know your Processes to Guide your Data Governance to Success. Learn Predictive Modeling Why and How? Market Mix Model – Overview. Driving Campaign Profitability using Analytics. Useful SAS functions for Zip Code and Geo Distance.

2

Business Verticals | RamG Data Analytics and Insights

http://www.ramganalytics.com/business-verticals

RamG Data Analytics and Insights. Want to discuss on Data Science and Advanced Analytics? December 11, 2013. September 27, 2014. Banks have been using Data Analytics and Insights from a long time. They use analytics for Customer Risk Identification, Targeting right products to the customers and Improving Operational Efficiencies. Insurance institutions use Data Analytics and Modeling for Under writing Risk, customer targetting, member switch-over analysis, claim forecasting and fraud management.

3

Customer Life Time Value (CLTV) for Retail Bank: Mortgage Portfolio Example | RamG Data Analytics and Insights

http://www.ramganalytics.com/customer-life-time-value-cltv-for-retail-bank-mortgage-portfolio-example

RamG Data Analytics and Insights. Want to discuss on Data Science and Advanced Analytics? Customer Life Time Value (CLTV) for Retail Bank: Mortgage Portfolio Example. July 27, 2013. July 31, 2013. Customer Life Time Value (CLTV) have two important aspects which make this metric substantially different and important for the organizations. First it is at a customer level or customer centric. And second encapsulates long term value. Overall Customer Life Time Value (CLTV) for a customer will be. Know your P...

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Techniques | RamG Data Analytics and Insights

http://www.ramganalytics.com/analytical-techniques

RamG Data Analytics and Insights. Want to discuss on Data Science and Advanced Analytics? March 8, 2013. February 11, 2015. Number of analytical techniques and process framework are being developed by analytics practitioners. There is significant difference in knowing a statistical technique and analytical framework around application of the statistical techniques. Customer Life Time Value (CLTV). Forecasting and Time Series Modeling. ARIMA and ARIMAX Models. Learn Predictive Modeling Why and How?

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Analyst Views | RamG Data Analytics and Insights

http://www.ramganalytics.com/analyst-views

RamG Data Analytics and Insights. Want to discuss on Data Science and Advanced Analytics? March 16, 2013. August 3, 2013. Customer Lifetime Value (CLTV) framework for retail banking. Variable transformation approaches for building Predictive Models. Analytics across Strategy Cycle. Analytics as a closed loop value delivery cycle. Big Data and Retail Bank. Real time offers at retail counter using big data. C3 Customer Engagement Score to understand Online Behaviour. Learn Predictive Modeling Why and How?

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RamG Data Analytics & Insights » Analytics Ideas and Point of Views

RamG Data Analytics and Insights. Analytics Ideas and Point of Views. March 2, 2013. Domain Know How: Banking -Mortgage Loan Overview. Mortgage or Home Loan: overview. What are the different types of mortgage loan? What is mortgage loan life cycle? Marketing Strategy to grow Mortgage Business. How to calculate Customer Life Time Value (CLTV) for mortgage customers? Reverse Mortgage Loan: find drivers of customer attrition using decision tree. Big Data Analytics Driving value using unstructured data.

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