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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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Business Analytics, Volume I

decision making approach that uses statistical and quantitative analysis along with data mining, management science, and fact-based data to measure;

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Tools and Techniques for Effective Data-Driven Decision Making

provides readers with a comprehensive understanding of what data-driven decision making can and cannot tell educators about student achievement and;

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Six-Word Lessons for Data-Driven Decision-Making

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Data-Driven Personas

decision making about users. We demonstrate that data-driven personas systems can provide critical, empathetic, and user understanding;

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Dynamic Data Driven Applications Systems

This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020;

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Advances in Urban Planning in Developing Nations

planning, and decision-making and management in the planning process. It also studies the application of big data, geographic information systems;

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Advances in Urban Planning in Developing Nations

planning, and decision-making and management in the planning process. It also studies the application of big data, geographic information systems;

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Dynamic Investment Planning (Routledge Revivals)

investment decision-making is reviewed. This is followed by a mathematically formulated planning model. The computational aspects of the model are;

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Dynamic Investment Planning (Routledge Revivals)

investment decision-making is reviewed. This is followed by a mathematically formulated planning model. The computational aspects of the model are;

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Decision Support, Analytics, and Business Intelligence

data and how is it useful? What is business intelligence? How can predictive analytics support decision making? What is the impact of decision;

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Decision-Making Management

from simple theory to complex and dynamic decisions with multiple data points, including big data and lot of data. Binary Decision Diagrams are;

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Domain Driven Data Mining

enhancing the soft power of an organization, its production systems, decision-making and performance. The last ten years have seen ever;

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The Data-Driven Project Manager

in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven;

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Bursting the Big Data Bubble

, experience, and intuition to your decision-making process. In fact, a recent research study at Tel Aviv University found that executives who relied;

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Bursting the Big Data Bubble

, experience, and intuition to your decision-making process. In fact, a recent research study at Tel Aviv University found that executives who relied;

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Practical Modelling of Dynamic Decision Making

-making in dynamic domains. The authors apply the BDI (Beliefs, Desires, Intentions) paradigm to the elicitation and modelling of dynamic decision;

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Decision Intelligence Analytics and the Implementation of Strategic Business Management

collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player;

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Data Analytics in the Era of the Industrial Internet of Things

creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a straightforward;

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Data Analytics in the Era of the Industrial Internet of Things

creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a straightforward;

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Data-Driven Organization Design

framework for HR and organization design practitioners to build a baseline of data, set objectives, carry out fixed and dynamic process design, map;

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Data-Driven Organization Design

framework for HR and organization design practitioners to build a baseline of data, set objectives, carry out fixed and dynamic process design, map;

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Dynamic Data-Driven Environmental Systems Science

This book constitutes the refereed proceedings of the First International Conference on Dynamic Data-Driven Environmental Systems Science;

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Incorporating Sustainability in Transport Planning & Decision Making

planning and decision making. Through a case study using data from the Atlanta Metropolitan Region, the study evaluates competing transportation;

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Analyzing Data Through Probabilistic Modeling in Statistics

, planning and scheduling, data extrapolation in decision making, probabilistic interpolation and extrapolation in simulation, stochastic processes;

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Sustainable City Logistics Planning

disruption, dynamic risk sensitive sequential decision-making, parking revenue management, sustainable parcel delivery planning, and smart multi;

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