R for Business Analysis
Unlocking Data to Improve Sales and Operational Costs
Seiten
2020
O'Reilly Media (Verlag)
978-1-4920-5187-9 (ISBN)
O'Reilly Media (Verlag)
978-1-4920-5187-9 (ISBN)
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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
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
Pierre DeBois has 10 years of experience with analytics and 4 years of experience with R programming. That experience is buoyed with a top notch professional work history which includes an MBA from a top graduate business school and a 8 year engineering background in the automotive industry. His experience has allowed him to work across a number of industries, giving him knowledge to apply business and technical acumen to fit most organizational needs. He has the right background to not only understand technical material, but to explain the value of that material to management. He also has a knack for teaching and has conducted several workshops, including Google Analytics workshops and R-programming workshops.
| Erscheint lt. Verlag | 31.10.2020 |
|---|---|
| Verlagsort | Sebastopol |
| Sprache | englisch |
| Maße | 178 x 233 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik |
| ISBN-10 | 1-4920-5187-X / 149205187X |
| ISBN-13 | 978-1-4920-5187-9 / 9781492051879 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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