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Assisted Predictive Modeling for Simple Business Analytics!

Smarten

Just Simple, Assisted Predictive Modeling for Every Business User! No matter the market or type of business, there is no room in today’s business landscape for guesswork. And, with Assisted Predictive Modeling , you can make these tasks even easier. No Guesswork!

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How to Leverage Machine Learning for AML Compliance

BizAcuity

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics methods and techniques.

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What is SVM Classification Analysis and How Can It Benefit Business Analytics?

Smarten

the organization can predict the likelihood of an employee submitting fraudulent expenses. How Can SVM Classification Analysis Benefit Business Analytics? Let’s examine two business use cases where SVM Classification can benefit the organization. Use Case – 1. Use Case – 2.

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What is Hierarchical Clustering and How Can an Organization Use it to Analyze Data?

Smarten

Business Problem: A bank wants to group loan applicants into high/medium/low risk based on attributes such as loan amount, monthly installments, employment tenure, the number of times the applicant has been delinquent in other payments, annual income, debt to income ratio etc. Use Case – 1. Use Case – 2.

IT 40
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What is Outlier Analysis and How Can It Improve Analysis?

Smarten

For example, if an outlier indicates a risk or a mistake, that outlier should be identified and the risk or mistake should be addressed.

IT 40