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Transforming Data Into Knowledge: Applications of Data-based Decision Making To Improve Instructional Practice

First Published in 2005. Routledge is an imprint of Taylor & Francis, an informa company.;...

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Transforming Teaching and Learning Through Data-Driven Decision Making

culture and transform quantitative and qualitative data into actionable knowledge based on: Assessment Statistics Instructional and;

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Data-Driven Decision Making and Dynamic Planning

handbook for converting data into wise decision-making and planning. It will give you the skills to successfully- -Make data-based decisions;

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Data-Driven Decision Making and Dynamic Planning

handbook for converting data into wise decision-making and planning. It will give you the skills to successfully--Make data-based decisions;

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Data-Based Decision Making and Digital Transformation

in decision making, and increase their knowledge and skills. Creating a data-centric culture and rewarding data-based decision making leads to;

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Data-based Decision Making in Education

increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making;

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Big Data and Knowledge Sharing in Virtual Organizations

corporations could improve decision making and foster innovation through effective knowledge-sharing practices. Big Data and Knowledge Sharing;

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Big Data, Mining, and Analytics

expert contributors into leveraging data resources, including big data, to improve decision making. Illustrating basic approaches of business;

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Big Data, Mining, and Analytics

expert contributors into leveraging data resources, including big data, to improve decision making. Illustrating basic approaches of business;

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Using Data to Improve Student Learning

clarifies what 'use of data' means and differentiates the different levels of decision-making in education (relating to the system, district, school;

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Using Data in Schools to Inform Leadership and Decision Making

information for leadership and decision making. Schools are awash in data and information, from test scores, to grades, to discipline reports, and;

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Schools and Data

Improve instructional leadership practice with proven, easy-to-understand strategies for data-based decision making! Since the first;

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Intelligent Decision Technologies

annual conference was to present and discuss the latest research results, and to generate new ideas in the field of intelligent decision-making;

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Military Applications of Data Analytics

, decision making, analysis of alternatives, and myriad other analytical processes. Data analytics is seen as having a role in military learning, and;

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Intelligent Decision Technologies 2018

several sections devoted to specific topics, such as: * Decision-Making Theory for Economics * Advances in Knowledge-based Statistical Data;

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Better Decision Tree from Intelligent Instance Selection

This book describes theoretical and experimental studies of instance selection to improve data mining model. Data preparation is one of the;

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Optimization and Control for Systems in the Big-Data Era

making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and;

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Decision-making for New Product Development in Small Businesses

learning in organizational decision-making, based on novel analysis of empirically developed qualitative data.;

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Decision-making for New Product Development in Small Businesses

learning in organizational decision-making, based on novel analysis of empirically developed qualitative data.;

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Evidence-Based Decision-Making

Evidence-Based Decision-Making: How to Leverage Available Data and Avoid Cognitive Biases examines how a wide range of factual evidence;

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Decision Making in Educational Leadership

The increased focus on raising standards in education requires leaders to engage in complex decision making about teacher assessment;

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Data Science for Wind Energy

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy;

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Data Science for Wind Energy

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy;

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Big Data Analytics

as future research directions. It also examines how this emerging field could be extended to performance management and decision-making;

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Big Data Analytics

as future research directions. It also examines how this emerging field could be extended to performance management and decision-making;

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Data Warehousing and Knowledge Discovery

of information to be included in the decision-making process, the data to be considered become more and more complex in both structure and semantics. New;

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Analytics and Knowledge Management

networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data;

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