Analytics Vidhya

JUNE 17, 2023

With vast amounts of data available, marketers now have the power to unlock valuable insights and make data-driven decisions that drive business growth. appeared first on Analytics Vidhya.

Data Science 298

Data Science Marketing Predictive Modeling Statistics 298

Smarten

MAY 17, 2019

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Marketing Optimization.

Predictive Analytics 51

Predictive Analytics Marketing Analytics Predictive Modeling 51

IBM Big Data Hub

MAY 16, 2023

What are managed marketing services (MMS)? Managed marketing services are the outsourcing of marketing business processes, such as campaign planning and execution, content management and enhancement, marketing analytics and other marketing support (SEO, social listening and loyalty).

Marketing 74

Marketing Management Optimization Cost-Benefit 74

Business Over Broadway

SEPTEMBER 27, 2018

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. Your marketing strategy is only as good as your ability to deliver measurable results. underspecified) due to omitted metrics.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Occam's Razor

JANUARY 7, 2019

My professional areas of interest cover Customer Service, User Experience and Finance, though here on Occam’s Razor my focus is on influencing incredible Marketing through the use of innovative Analytics. First… The Analytics top ten things to focus on to elevate your game this year…. The Step Change Analytics Obsessions List.

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Source: RStudio. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

DataRobot Blog

AUGUST 23, 2019

Using this data, we built a historical dataset containing past results, current Elo scores (both overall and surface-specific) and tournament information, then used DataRobot to determine the best model and predict the probability that a player would win a set. Interested in more Sports Analytics? Andrew received his Ph.D.

Predictive Modeling 52

Predictive Modeling Modeling Marketing Analytics Data Science 52