This book connects predictive analytics and simulation analytics,
with the end goal of providing Rich Information to stakeholders in
complex systems to direct data-driven decisions. Readers will
explore methods for extracting information from data, work with
simple and complex systems, and meld multiple forms of analytics
for a more nuanced understanding of data science. The methods can
be readily applied to business problems such as demand measurement
and forecasting, predictive modeling, pricing analytics including
elasticity estimation, customer satisfaction assessment, market
research, new product development, and more. The book includes
Python examples in Jupyter notebooks, available at the book's
affiliated Github. This volume is intended for current and aspiring
business data analysts, data scientists, and market research
professionals, in both the private and public sectors.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Release date: |
July 2023 |
Authors: |
Walter R Paczkowski
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
370 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-131886-3 |
Categories: |
Books
|
LSN: |
3-03-131886-2 |
Barcode: |
9783031318863 |
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