Smart Data Collective

MARCH 11, 2022

Therefore, you need sophisticated customer analytics to analyze complex customer behavior. This article will go over the concept of customer service analytics and some of the uses and advantages it could provide to a business. Analyzing the Reasons of Customer Churn.

Customer Analytics 116

Customer Analytics Analytics Key Performance Indicator Big Data 116

Smart Data Collective

DECEMBER 17, 2021

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. A dashboard is a customized analytical tool that provides an overview of crucial information about a particular function or process in real-time.

Business Intelligence 93

Business Intelligence Cost-Benefit Dashboards Interactive 93

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Jet Global

JANUARY 19, 2024

Here are some of the top trends from last year in embedded analytics: Artificial Intelligence : AI and embedded analytics are synergistic technologies that, when combined, offer powerful capabilities for data-driven decision-making within applications. Scalability : Think of growing data volume and performance here.

Analytics 52

Analytics Dashboards Visualization Data-driven 52

Business Over Broadway

SEPTEMBER 27, 2018

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.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Domino Data Lab

JULY 28, 2021

Today, data is generated constantly through multiple channels including transactional systems, sensors, cameras, and online interactions. They have enabled new cross-industry applications, such as in customer analytics and fraud detection.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Jet Global

MAY 1, 2023

As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. When visualizations alone aren’t enough to set an application apart, is there still a way for product teams to monetize embedded analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52