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Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

To illustrate and to motivate these emerging and growing developments in marketing, we list here some of the top Machine Learning trends that we see: Hyper-personalization (SegOne context-driven marketing). Behavioral analytics (predictive and prescriptive). Agile analytics (DataOps).

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When the Voice of the Customer Actually Talks

Rocket-Powered Data Science

CX has become increasingly data-informed and data-driven, with VoC data being one of the key data sources. Other data sources include purchase patterns, online reviews, online shopping behavior analytics, and call center analytics.

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Four Reasons Why Retail Analytics Solutions Are Important

bridgei2i

Retail analytics enables the stakeholders to efficiently use data for creating a consistent customer experience across all channels. Since the retail market is highly volatile, retail analytics equips marketers with the necessary information to maintain a grip in the competitive landscape. Customer Behavior Analytics.

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Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery , improvement, and intelligence.