Cover Image

Data science for decision makers : using analytics and case studies /

Data Science for Decision Makers is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today's fast-paced and increasingly digital world, the ability to make informed decisions based on data-driven insights i...

Full description

Bibliographic Details
Main Author:	Herman, Erik
Format:	eBook
Language:	English
Published:	Herndon, VA : Mercury Learning & Information, 2025.
Subjects:	Decision making > Data processing. Big data. Database management. Prise de décision > Informatique. Bases de données > Gestion.

Similar Items

Navigating the data minefields : management's guide to better decision-making /
by: Shemwell, Scott M.
Published: (2025)

Decision support systems.

Data driven decision making using analytics /
Published: (2022)

Sage business data decisions.

Understanding the data variables /
by: Ross, Jonathan, active 2023, et al.
Published: (2023)

Conducting an impact analysis /
by: Ross, Jonathan, active 2023, et al.
Published: (2023)

Big data analytics using multiple criteria decision-making models /
Published: (2017)

Data superstream.
Published: (2025)

Data-informed decisions /
by: Ross, Jonathan, active 2023, et al.
Published: (2023)

Big data quantification for complex decision-making /
Published: (2024)

Disruptive trends in computer aided diagnosis /
Published: (2022)

Decision sciences : theory and practice /
Published: (2017)

Decision sciences : theory and practice /
Published: (2017)

Understanding human decision-making in economic models /
Published: (2025)

Common Data Sense for Professionals : a Process-Oriented Approach for Data-Science Projects.
by: Jugulum, Rajesh
Published: (2021)

Decision traps : ten barriers to brilliant decision-making and how to overcome them /
by: Russo, J. Edward
Published: (1990)

Business analytics for decision making /
by: Kimbrough, Steve, et al.
Published: (2016)

Handbook of decision analysis /
by: Parnell, Gregory S., et al.
Published: (2025)

Data-driven decision making.
Published: (2015)

The consequences of decision-making /
by: Brunsson, Nils, 1946-
Published: (2017)

Setting the decision-making context /
by: Ross, Jonathan, active 2023, et al.
Published: (2023)

Data-driven intelligent business sustainability /
Published: (2024)

Predictive analytics with TensorFlow /
by: Karim, Md. Rezaul
Published: (2018)

Managerial decision making with technology /
by: Monger, Rod F.
Published: (1987)

Realistic decision theory : rules for nonideal agents in nonideal circumstances /
by: Weirich, Paul, 1946-
Published: (2004)

The decision maker's playbook 12 mental tactics for thinking more clearly, navigating uncertainty and making smarter choices /
by: Mueller, Simon, et al.
Published: (2019)

Essentials of business analytics /
by: Camm, Jeffrey D., 1958-
Published: (2015)

Decision making in the face of uncertainty.
Published: (2016)

Analytics in a big data world : the essential guide to data science and its applications /
by: Baesens, Bart
Published: (2014)

Rationale Entscheidungen unter Unsicherheit /
Published: (2018)

How we make forced-choice decisions.
Published: (2016)

McKinsey & company : hard lessons learned in South Africa /
by: Sieff, Grant, et al.
Published: (2019)

Discrete events simulation /
by: Fuente, Rodrigo de la
Published: (2023)

Intelligent analytics for industry 4.0 applications /
Published: (2023)

Uncertainty in computational intelligence-based decision making /
Published: (2025)

Gestionar sin dinero /
Published: (2012)

DECISION MAKING MODELS : a perspective of fuzzy logic and machine learning.
Published: (2024)

Actionable intelligence : a guide to delivering business results with big data fast! /
by: Carter, Keith B., 1973-
Published: (2014)

Organizational decision-making : the case of CoolToys Inc. /
by: Singh, Anil, active 2021, et al.
Published: (2021)

Decode competing signals to act strategically /
by: Bhandari, Rahul
Published: (2025)