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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

Reducing customer churn requires you to know two things: 1) which customers are about to churn and 2) which remedies will keep them from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

A playbook for this is to run multiple experiments in parallel and create ‘MVPs’ (fail/learn fast), as well as incorporate feedback mechanisms to enable an improvement loop, and scaling the ones that show the fastest path to ROI. How can advanced analytics be used to improve the accuracy of forecasting?

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An In-Depth View of Data Science

Domino Data Lab

They have enabled new cross-industry applications, such as in customer analytics and fraud detection. Communication cannot be emphasized enough, for it is this trait that ensures results are effectively translated from the white board to impact on business metrics. None of these techniques are new.

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Using Analytics to Maximize Revenue with a SaaS Business Model

Smart Data Collective

Advances in data analytics technology have made it easier than ever to develop SaaS models. Companies can leverage customer data and machine learning algorithms to offer the best possible service. Analytics doesn’t just help offer a better user experience to improve customer retention with customer data.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360. The following figure shows some of the metrics derived from the study. increase in customer lifetime value, 25.3% Organizations using C360 achieved 43.9%

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What Is Embedded Analytics?

Jet Global

Business End-User Benefits Embedding analytics into essential applications makes analytics more pervasive. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Visual Analytics Users are given data from which they can uncover new insights.

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How Infusing Insights from AI Is Evolving Retail

Sisense

For businesses looking to improve CX, data is a precious commodity: It has the potential to tell them much about their customers’ digital journeys, enabling them to address issues and adopt the intelligent product discovery and recommendations that will deliver more personalized service.