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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

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

Smarten

Smarten CEO, Kartik Patel says, ‘Smarten SnapShot supports the evolving role of Citizen Data Scientists with interactive tools that allow a business user to gather information, establish metrics and key performance indicators.’

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Best Practice of Using Data Science Competitions Skills to Improve Business Value

DataRobot Blog

In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. Ultimately, the evaluation is based on whether or not the model delivers success to the customers’ business. which can lead to large prediction errors.

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What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

Smarten

For example, one might consider two groups of participants that are measured at two different “time points” or two groups that are subjected to two different “conditions” Paired T Test is used to evaluate the before and after of a situation, treatment, condition, etc. is the same in two related groups.

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Why you should care about debugging machine learning models

O'Reilly on Data

Residual analysis is another well-known family of model debugging techniques. Residuals are a numeric measurement of model errors, essentially the difference between the model’s prediction and the known true outcome. Interpretable ML models and explainable ML. Residual analysis.

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Descriptive analytics techniques are often used to summarize important business metrics such as account balance growth, average claim amount and year-over-year trade volumes. The foundation of predictive analytics is based on probabilities. Seven Steps to Success for Predictive Analytics in Financial Services. Accounts in use.

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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. underspecified) due to omitted metrics.