DataRobot

DECEMBER 8, 2021

Organizations need to have a real-time understanding of customers’ needs and timely strategies for maximizing the value of their data. AI improves upon traditional analytical methods by better detecting and understanding the complexities and nuances of the data—from human behavior to finding signal in a sea of information overload.

Customer Analytics 97

Customer Analytics Analytics Advertising Data-driven 97

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

DataKitchen

NOVEMBER 5, 2024

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. Whether it’s customer analytics, product quality assessments, or inventory insights, the Gold layer is tailored to support specific analytical use cases.

Data Quality 198

Data Quality Testing Metrics Reporting 198

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

Smart Data Collective

NOVEMBER 24, 2020

In the future of business intelligence, eliminating waste will be easier thanks to better statistics, timely reporting on defects and improved forecasts. Features: interactive tables, graphs, dashboards data publishing access to a broad data range custom analytic applications data storytelling web and mobile. SAP Lumira.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

DataRobot

JANUARY 13, 2022

Data scientists typically come equipped with skills in three key areas: mathematics and statistics, data science methods, and domain expertise. Even if a data scientist has worked with a particular type of customer data before, their domain expertise doesn’t always translate into actionable insights for the business. Download Now.

ROI 52

ROI Machine Learning Experimentation Data Science 52

DataRobot Blog

NOVEMBER 8, 2022

AI in Customer Analytics: Tapping Your Data for Success. To do this, we built out a global, unified analytics platform—Synapse—which is our proprietary platform for delivering attribution, budget optimization, scenario planning, forecasting, and performance simulations across multiple outcomes, all in one ecosystem.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59