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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. The discipline is a key facet of the business analyst role. Business analytics techniques.

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Smarten Augmented Analytics Launches PMML Integration Capability!

Smarten

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Smarten PMML Integration enables a seamless process, designed for business users,’ says Patel.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI).

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Smarten Announces SnapShot Anomaly Monitoring Alerts: Powerful Tools for Business Users!

Smarten

About Smarten The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

Predictive Analytics It is a subset of business analytics that uses statistical techniques (algorithms) to find patterns in historical data points and predict future outcomes with high accuracy. Building a predictive model is a continuous process and commitment.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

Predictive Analytics. It is a subset of business analytics that uses statistical techniques (algorithms) to find patterns in historical data points and predict future outcomes with high accuracy. Predictive modeling for flagging suspicious activity. These include-.

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

Smarten

To explore this technique further, let’s conduct the SVM classification using the following variables: Here we see a sample output for the actual versus predicted outcome. The prediction accuracy is useful criterion for assessing the model performance. Model with prediction accuracy >= 70% is useful.