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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Do you know what motivates your customers? Therefore, you need sophisticated customer analytics to analyze complex customer behavior. What Is Customer Service Analytics?

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Announcing the 2013 Customer Analytics & Measurement Survey

Srividya Sridharan

This year, I […].

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Why Businesses Should Use Machine Learning in 2023

Analytics Vidhya

It learns from previously existing data to detect any […] The post Why Businesses Should Use Machine Learning in 2023 appeared first on Analytics Vidhya.

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

Srividya Sridharan

Over 300 data and analytics leaders will gather to share, learn and get inspired! It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. For those of you who have already registered and planning to attend, you answered one key question during the registration process: What is your top […].

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Analytics Democratization Continues As KXEN Finds A New Home

Srividya Sridharan

SAP today announced plans to acquire KXEN, a provider of predictive analytics technology. This is an interesting development for both companies and highlights the focus on the democratization of predictive analytics, especially for marketers. The terms of the deal are not known.

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Huge Benefits of Business Intelligence for Your Company

Smart Data Collective

It can refer to predictive analytics or even “big data.” It will also provide insight into the many different types of reports that you can create with analytics software. Introduction: What is Business Intelligence? ” Many companies realize the power of BI to improve their business results.

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Participate In Our TechRadarâ„¢ Research On Customer Analysis Methods

Srividya Sridharan

Customer insights professionals have many customer analytics methods (sub's reqd) to choose from today to perform behavioral customer analysis, and new techniques emerge as the complexity of customer data increases. But how do you decide which customer analysis methods […].