R for Business Analysis: Unlocking Data to Improve Marketing, Sales, and Operational Costs

By Pierre Debois

Build quantitative models that will leverage data to improve the performance of your organization's marketing and operations campaigns. In this practical book, author Pierre DeBois shows business analysts how to develop quantitative models using a more business-friendly framework for selecting the right data and analysis models to support business intelligence.

Data-driven strategies are at the heart of competitive advantage today. Yet discerning which method of quantitative analysis can be a challenge with so many data types and models available. This guide covers the key frameworks that blend well with business data for advanced analysis. You'll be better informed on choosing models and preliminary machine learning strategies that will help improve products, services, and operations. Explore statistical techniques to establish data relationships Review business intelligence research that can be incorporated into machine learning initiatives Understand which models are applicable for marketing and operations analysis Gain immediate data management steps that can aid marketing and operations strategies Plan data visualizations to fit each business need being examined

• Format: Paperback
• Language: English
• ISBN: 149205187X
• ISBN13: 9781492051879
• Release Date: January 1
• Publisher: O'Reilly Media
• Length: 320 Pages