When data moves forward: artificial intelligence as the basis for strategic decisions

The modern economy demands not just the analysis of past trends, but also the ability to forecast the future. In conditions of instability and rapid changes in consumer preferences, artificial intelligence has become a key tool. It helps businesses identify risks before they manifest and find growth opportunities at their inception.

This is why data analytics and AI have today become an integral part of successful strategies. Predictive models, interpretable artificial intelligence, and automated analysis of customer feedback are not just technologies, but the foundation of high-quality managerial decision-making.

Among specialists whose analytical approaches find application on the international stage, Tamanno Maripova stands out as a recognized expert in the field of data analytics and machine learning. Her professional path includes a master's degree from Adelphi University and work with leading companies, where she implements advanced information processing methods.

Her key competencies include the creation of predictive models, analysis of unstructured textual data, natural language processing (NLP), and the implementation of explainable AI. This approach allows not only to forecast changes but also to justify decisions made, making them transparent and manageable.

Practical Cases

One of the significant analytical cases was related to the task of sales forecasting for the Corona brand, represented in the US market by the MansfieldPlumbing division. As part of the project, Tamanno developed a model capable of taking into account seasonal fluctuations, marketing activity, and external economic uncertainty. Comparing the effectiveness of various time series algorithms, including ARIMA and Prophet, she built a solution that demonstrated high accuracy and potential value for planning and supply chain management.

Such projects show that a quality model is not just an analysis tool. It is a mechanism for managing risks and increasing business flexibility, the expert notes.

In a number of subsequent initiatives, the analyst focused on processing customer feedback. Using NLP models, including TF-IDF and BERT, she classified and systematized thousands of user comments, identifying key behavioral patterns, emotional reactions, and recurring signals. The data obtained allowed companies to accelerate their response to problems and enhance the personalization of the customer experience.

The customer's voice is a strategic resource. AI allows turning a stream of reviews into a manageable knowledge system that influences the product, service, and communication.

Tamanno pays special attention in her work to the development of explainable analytical models. Such models allow not only to build a forecast but also to reveal its structure — visualizing key influencing factors and logically justifying the result.

Tamanno Maripova, expert in the field of data analytics and applied machine learning

The Future of Analytics

According to her assessment, the key milestones for analytics in 2025 will include:

— implementation of predictive solutions at the operational management level in e-commerce and digital services
— automation of customer request processing based on NLP
— development of visual analytical platforms that provide not only data but also an explanation of causal relationships.

Tamanno Maripova's experience demonstrates: when analytics is combined with interpretability and applied thinking, it ceases to be a technical tool — and becomes the foundation of a sustainable, flexible, and manageable business.

Author: Aymira Kuanysh