AroniSmartLytics

AroniSmartIntelligence™: Optimized Bayesian A/B Testing Capabilities - Implementation and Execution in the New Version 15.x

AroniSmartIntelligence™: A/B Bayesian Test Capabilities

A/B Bayesian Testing is a new capability implemented in version 15.x of AroniSmartIntelligence™ available on Apple's App Store® (see the introduction and background on A/B Test in AroniSmartIntelligence™ here). A/B Testing is a statistical methodology that involves randomly splitting an experiment into two groups with the goal to find what works better. For example, in digital marketing where the objective is to test which version of a banner, an e-mail, or a web page leads to a higher conversion rate, a user base is split into two groups. Each of the two groups is showed a different version of the web page, an app, or an e-mail. The goal is to see if the modified version has a higher impact on user behavior, conversion rates, increased sales, etc. A/B testing has become a key analytical methodology in machine learning and data science across industries, in the technology in general, given its effectiveness to help test hypotheses and get reliable analytics to support better informed decision making and drawing conclusions about any numerical data driven hypotheses.

AroniSmartIntelligence™: Optimized Bayesian A/B Testing Capabilities in the New Version 15.x

AroniSmartIntelligence™: A/B Bayesian Test Capabilities

AroniSmartIntelligence ™ is one of the most advanced analytics tools with Machine Leaning, Data Science, Statistics, Econometrics, NLP Text and Sentiment analysis, Neural Network, and Support Vector Machine capabilities. To support Hypothesis Testing, Design and Analysis of experiments, Marketing Campaign and Digital Marketing Assets Analyses, and Marketing Mix analysis, a new capability has been added to the new version 15.x of AroniSmartIntelligence ™: A/B Bayesian Test. Hence, the new AroniSmartIntelligence version will also include the critical capability. complementing the usual frequentist hypothesis testing and statistical inference tools.

A/B testing has become a key analytical methodology in machine learning and data science across industries, in the technology in general, given its effectiveness to help test hypotheses and get reliable analytics to support better informed decision making and drawing conclusions about any numerical data driven hypotheses.

AroniSmartIntelligence™: Optimized Machine Learning, Advanced Analytics, and Data Science Capabilities; A New Capability With Decision Trees

AroniSmartIntelligence™: Decision Tree Module

AroniSmartIntelligence ™ is one of the most advanced analytics tools with Machine Leaning, Data Science, Statistics, Econometrics, NLP Text and Sentiment analysis, Neural Network, and Support Vector Machine capabilities. To support NLP Text and Sentiment analysis, a new capability has been recently added: Speech-to-Text Transcription. Now the AroniSmartIntelligence version will also include a critical capability: Decision Trees, complementing the usual Bayesian Network and Regression classification tools.

Decision Trees will help solve the various problems related to classification built on big data and fuel data science insights.

AroniSmartIntelligence™: Marketing Mix and Multitouch Attribution Models

AroniSmartIntelligence™: Marketing Mix and Multitouch Attribution Models Results

AroniSmartIntelligence ™ is one of the most advanced analytics tools with Machine Leaning, Data Science, Statistics, Econometrics, NLP Text and Sentiment analysis, Neural Network, and Support Vector Machine capabilities. Many users have been asking questions on how to use the tool for some key modeling needs. One of the increasing predictive modeling needs focus Marketing Mix Analytics (MMx) and Multi Touch Attribution (MTA).

The following sections covers the approach to use AroniSmartIntelligence to build the two types of models: MMx and MTA.