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Cable Companies Are Growing Up

Cloudera

There are huge opportunities in the North American cable market to grow the base through smart customer acquisition; grow customer lifetime value through portfolio optimization, content library analytics and enhanced retention; and dramatically improve customer experience through predictive modelling and integrated experience management.The secret?

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Announcing the 2021 Data Impact Awards

Cloudera

This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. . Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time . DATA FOR ENTERPRISE AI.

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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Now that we have described predictive and prescriptive analytics in detail, what is there left?

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. The model has become a means to an end—i.e.,

IoT 20
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. Share the essential business intelligence trends among your team!

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What is a Data Pipeline?

Jet Global

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.