The difference between CDPs and CRMs

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In today’s overly connected digital landscape, businesses often deal with an unprecedented influx of data from various sources.   Using this data effectively has become essential for driving growth, improving customer experiences, and staying ahead of the competition. However, sometimes things …

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Beyond Search: E-commerce Search Engine

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An e-commerce search engine is a specialized search tool that helps online shoppers find the products they’re looking for within an e-commerce website’s product catalog. Unlike general-purpose search engines like Google, e-commerce search engines are designed to understand the unique …

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Mastering data-driven personalization

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Data-driven personalization is a critical aspect of any successful retail or e-commerce strategy.  By tailoring your messages, offers, and product recommendations to each customer’s unique interests and preferences, you can create a more engaging and meaningful experience that drives loyalty …

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Introduction to recommender systems

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Over the last few decades, recommender systems have gained prominence with the emergence of platforms like YouTube, Amazon, and Netflix.  These algorithms play a pivotal role in suggesting relevant content for online users –  from e-commerce product recommendations to personalized …

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Anomaly detection

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The problem of anomaly detection is a very challenging problem often faced in data analysis. Whether it is about clustering, classification or some other machine learning problem, it is of great importance to identify anomalies and handle them in some …

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Handling missing data

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Hi, everyone. Although I planned for my next post to be about anomaly detection and their treatment,  I faced some other type of problem that quickly escalated into huge issue affecting the modelling and results accuracy, and couldn’t resist to …

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