AroniSmartIntelligence™ 9.0.0, Improved Advanced Analytics, Non Linear Models (Multiplicative, Log-Log, Marketing Mix) and Machine Learning Tools, now Available In App Store®

AroniSmartIntelligence™ 9.x with General Non Linear Models

AroniSmartLytics™  or AroniSmartIntelligence™  version 9.0.0, with Improved Advanced Non Linear and Econometrics models, improved machine learning and advanced analytics algorithms is now available in Apple App Store®. The prior version focused on Attribution Models and Dominance Analysis, with an emphasis on how predictors contribute to overall performance. Following multiple requests and feedback from our clients and users, the new version of AroniSmartLytics™ pushes the edge further with General Non Linear Models, Advanced Analytics and Marketing Mix models are implemented in AroniSmartLytics™ Regression, Econometrics, and Time Series module.


With the latest advances in high technology, marketing and advertising and investment research have been going through a revolution. Advertising to consumers has changed significantly. The touchpoints drive consumers to compare and make purchase decisions based on the messages they receive on their smart TV, smartphones, desktops, laptops, and tablets. However, it is not just marketing touchpoints that drive consumers. Economic factors, trade and merchandising, consumer promotions, price, and other factors play a major role, usually synergistically.

At the same time, companies' performance and how that performance translates into the stock market price have become a complex subject to grasp for investment researchers. Machine Learning, Advanced Analytics, Investment research and data science are trying to find tools with capabilities to better capture and understand the dynamics, especially given the synergy among all the factors. AroniSmart™ tools, including AroniSmartIntelligence™ and AroniSmartLytics™ address such challenges by offering capabilities adapted to these specific business questions and analytical needs.


Increasing key questions have been around on how to capture and understand the synergies among factors driving consumers purchase, companies performance and market dynamics. Understanding and answering these questions help marketers, media strategists, investment researchers, investors, and market researchers to know not only which marketing campaigns are the most effective and which factors drive performance, but also the synergies that drive sales, effectiveness and performance. With that information

  • decision makers will have better insights on where to focus marketing investments and drive brand and sales growth.
  • investors and investment researchers will able to better understand and possible predict company performance and stock prices.

That is where advanced analytics and machine learning, especially advanced analytics tools, like AroniSmartLytics™ (AroniSmartIntelligence™), come in. For that purpose, AroniSmartLytics™ now includes a module focusing on General Non Linear Models and Marketing Mix Analytics..

General Non Linear Models are implemented in the Regression, Econometrics and Time Series module of AroniSmartLytics™ of the new version available to AroniSmartLytics ™ or AroniSmartIntelligence™ users.

Statisticians, Data Scientists, Marketers, Business and Financial Analysts, Savvy Investors, Engineers, Researchers, Students, Teachers, Economists, Political Analysts, and most of the practitioners use Advanced Analytics to answer questions, to support informed decision making or to learn.

AroniSmartLytics™ (AroniSmartIntelligence™) is a leading advanced analytics, machine learning and data science tool, with optimized cutting edge statistics models,  Econometrics Models, Big Data and Text Analytics.

AroniSmartLytics™ (AronismartIntelligence™) includes modules covering machine learning and Big Data mining, Unstructured Text Analysis, Sentiment and Emotion Analytics,Econometrics, Marketing Mix Analytics,  Bayesian Statistics and other advanced analytics.

GET ARONISMARTLYTICS and AroniSMartInvest on App Store


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