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Customer Analytics and AI: Better Together

DataRobot

Companies are always looking for better strategies for reaching customers—to deliver better services, products, and value. Organizations need to have a real-time understanding of customers’ needs and timely strategies for maximizing the value of their data. AI in Customer Analytics: Tapping Your Data for Success.

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The Insights Beat: Save Your Data Strategy From A Nosedive

Srividya Sridharan

This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. Is Your Data Strategy Lacking?

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

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. Your analytics strategy applies to the wider organizational needs, not just C360.

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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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6 Data-Driven Marketing Strategies That Are Revolutionizing Sales

Smart Data Collective

His article talked about utilizing big data for everything from customer analytics to optimizing pricing strategies. You should understand the different data-driven sales strategies to pursue. Best Marketing Strategies with Big Data. Every business can benefit from a strong marketing strategy.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machine learning activities that are applied to enterprise data (the inputs).

Analytics 166
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Voice Of The Attendee: Data & Analytics Strategy, AI/ML, CX And Growth

Srividya Sridharan

It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. Over 300 data and analytics leaders will gather to share, learn and get inspired!