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Enterprise Performance Intelligence And Decision Patterns


Enterprise Performance Intelligence And Decision Patterns
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Enterprise Performance Intelligence And Decision Patterns


Enterprise Performance Intelligence And Decision Patterns
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Author : Vivek Kale
language : en
Publisher: CRC Press
Release Date : 2017-10-05

Enterprise Performance Intelligence And Decision Patterns written by Vivek Kale and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Business & Economics categories.


"Vivek Kale has written a great book on performance management that focuses on decision-making; on continuous, incremental improvement; and on identifying common patterns in becoming a more intelligent organization." —James Taylor, CEO of Decision Management Solutions and author of Real-World Decision Modeling with DMN "Introducing the concepts of decision patterns and performance intelligence, Vivek Kale has written another important book on the issues faced by contemporary organizations."—Gary Cokins, author of Predictive Business Analytics and Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics Enterprise Performance Intelligence and Decision Patterns unravels the mystery of enterprise performance intelligence (EPI) and explains how it can transform the operating context of business enterprises. It provides a clear understanding of what EPI means, what it can do, and application areas where it is practical to use. The need to be responsive to evolving customer needs and desires creates organizational structures where business intelligence (BI) and decision making is pushed out to operating units that are closest to the scene of the action. Closed-loop decision making resulting from a combination of on-going performance management with on-going BI can lead to an effective responsive enterprise; hence, the need for performance intelligence (PI). This pragmatic book: Introduces the technologies such as data warehousing, data mining, analytics, and business intelligence systems that are a first step toward enabling data-driven enterprises. Details decision patterns and performance decision patterns that pave the road for performance intelligence applications. Introduces the concepts, principles, and technologies related to performance measurement systems. Describes the concepts and principles related to balance scorecard systems (BCS). Introduces aspects of performance intelligence for the real-time enterprises. Enterprise Performance Intelligence and Decision Patterns shows how a company can design and implement instruments ranging from decision patterns to PI systems that can enable continuous correction of business unit behavior so companies can enhance levels of productivity and profitability.



Enterprise Performance Intelligence And Decision Patterns


Enterprise Performance Intelligence And Decision Patterns
DOWNLOAD
Author : Vivek Kale
language : en
Publisher: CRC Press
Release Date : 2017-10-05

Enterprise Performance Intelligence And Decision Patterns written by Vivek Kale and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Business & Economics categories.


"Vivek Kale has written a great book on performance management that focuses on decision-making; on continuous, incremental improvement; and on identifying common patterns in becoming a more intelligent organization." —James Taylor, CEO of Decision Management Solutions and author of Real-World Decision Modeling with DMN "Introducing the concepts of decision patterns and performance intelligence, Vivek Kale has written another important book on the issues faced by contemporary organizations."—Gary Cokins, author of Predictive Business Analytics and Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics Enterprise Performance Intelligence and Decision Patterns unravels the mystery of enterprise performance intelligence (EPI) and explains how it can transform the operating context of business enterprises. It provides a clear understanding of what EPI means, what it can do, and application areas where it is practical to use. The need to be responsive to evolving customer needs and desires creates organizational structures where business intelligence (BI) and decision making is pushed out to operating units that are closest to the scene of the action. Closed-loop decision making resulting from a combination of on-going performance management with on-going BI can lead to an effective responsive enterprise; hence, the need for performance intelligence (PI). This pragmatic book: Introduces the technologies such as data warehousing, data mining, analytics, and business intelligence systems that are a first step toward enabling data-driven enterprises. Details decision patterns and performance decision patterns that pave the road for performance intelligence applications. Introduces the concepts, principles, and technologies related to performance measurement systems. Describes the concepts and principles related to balance scorecard systems (BCS). Introduces aspects of performance intelligence for the real-time enterprises. Enterprise Performance Intelligence and Decision Patterns shows how a company can design and implement instruments ranging from decision patterns to PI systems that can enable continuous correction of business unit behavior so companies can enhance levels of productivity and profitability.



Enterprise Process Management Systems


Enterprise Process Management Systems
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Author : Vivek Kale
language : en
Publisher: CRC Press
Release Date : 2018-10-10

Enterprise Process Management Systems written by Vivek Kale and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-10 with Business & Economics categories.


Enterprise Process Management Systems: Engineering Process-Centric Enterprise Systems using BPMN 2.0 proposes a process-centric paradigm to replace the traditional data-centric paradigm for Enterprise Systems (ES)--ES should be reengineered from the present data-centric enterprise architecture to process-centric process architecture to be called as Enterprise Process Management Systems (EPMS). The real significance of business processes can be understood in the context of current heightened priority on digital transformation or digitalization of enterprises. Conceiving the roadmap to realize a digitalized enterprise via the business model innovation becomes amenable only from the process-centric view of the enterprise. This pragmatic book: Introduces Enterprise Process Management Systems (EPMS) solutions that enable an agile enterprise. Describes distributed systems and Service Oriented Architecture (SOA) that paved the road to EPMS. Leverages SOA to explain the cloud-based realization of business processes in terms of Web Services. Describes how BPMN 2.0 addresses the requirements for agility by ensuring a seamless methodological path from process requirements modeling to execution and back (to enable process improvements). Presents the spreadsheet-driven Spreadsheeter Application Development (SAD) methodology for the design and development of process-centric application systems. Describes process improvement programs ranging right from disruptive programs like BPR to continuous improvement programs like lean, six sigma and TOC. Enterprise Process Management Systems: Engineering Process-Centric Enterprise Systems using BPMN 2.0 describes how BPMN 2.0 can not only capture business requirements but it can also provide the backbone of the actual solution implementation. Thus, the same diagram prepared by the business analyst to describe the business’s desired To-Be process can also be used to automate the execution of that process on a modern process engine.



Basic Business Analytics Using R


Basic Business Analytics Using R
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Author : Dr. Mahavir M. Shetiya
language : en
Publisher: Thakur Publication Private Limited
Release Date : 2023-11-10

Basic Business Analytics Using R written by Dr. Mahavir M. Shetiya and has been published by Thakur Publication Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-10 with Education categories.


Buy BASIC BUSINESS ANALYTICS USING R e-Book for Mba 2nd Semester in English language specially designed for SPPU ( Savitribai Phule Pune University ,Maharashtra) By Thakur publication.



Agents And Data Mining Interaction


Agents And Data Mining Interaction
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Author : Longbing Cao
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-30

Agents And Data Mining Interaction written by Longbing Cao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-30 with Computers categories.


The2009InternationalWorkshoponAgentsandDataMiningInteraction(ADMI 2009) was a joint event with AAMAS2009. In recentyears,agents and data mining interaction (ADMI), or agent mining forshort,hasemergedasaverypromisingresearch?eld. Followingthesuccessof ADMI 2006 in Hong Kong, ADMI 2007 in San Jose, and ADMI 2008 in Sydney, the ADMI 2009 workshop in Budapest provided a premier forum for sharing research and engineering results, as well as potential challenges and prospects encountered in the synergy between agents and data mining. As usual, the ADMI workshop encouraged and promoted theoretical and applied research and development, which aims at: – Exploitingagent-drivendatamininganddemonstratinghowintelligentagent technology can contribute to critical data mining problems in theory and practice – Improving data mining-driven agents and showing how data mining can strengthen agent intelligence in research and practical applications – Exploring the integration of agents and data mining toward a super-intelligent information processing and systems – Identifying challenges and directions for future research on the synergy between agents and data mining ADMI 2009 featured two invited talks and twelve selected papers. The ?rst invited talk was on “Agents and Data Mining in Bioinformatics,” with the s- ond focusing on “Knowledge-Based Reinforcement Learning. ” The ten accepted papers are from seven countries. A majority of submissions came from Eu- pean countries, indicating the boom of ADMI research in Europe. In addition the two invited papers, addressed fundamental issues related to agent-driven data mining, data mining-driven agents, and agent mining applications. The proceedings of the ADMI workshops will be published as part of the LNAIseriesbySpringer. WeappreciatethesupportofSpringer,andinparticular Alfred Hofmann.



Encyclopedia Of Information Science And Technology


Encyclopedia Of Information Science And Technology
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Author : Mehdi Khosrow-Pour
language : en
Publisher: IGI Global Snippet
Release Date : 2009

Encyclopedia Of Information Science And Technology written by Mehdi Khosrow-Pour and has been published by IGI Global Snippet this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.


"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.



Enhancing Enterprise Intelligence Leveraging Erp Crm Scm Plm Bpm And Bi


Enhancing Enterprise Intelligence Leveraging Erp Crm Scm Plm Bpm And Bi
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Author : Vivek Kale
language : en
Publisher: CRC Press
Release Date : 2016-02-22

Enhancing Enterprise Intelligence Leveraging Erp Crm Scm Plm Bpm And Bi written by Vivek Kale and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-22 with Business & Economics categories.


Enhancing Enterprise Intelligence: Leveraging ERP, CRM, SCM, PLM, BPM, and BI takes a fresh look at the benefits of enterprise systems (ES), focusing on the fact that ES collectively contribute to enhancing the intelligence quotient of an enterprise. The book provides an overview of the characteristic domains (i.e., business functions, processes, a



Evolving Strategies For Organizational Management And Performance Evaluation


Evolving Strategies For Organizational Management And Performance Evaluation
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Author : Marcão, Ricardo
language : en
Publisher: IGI Global
Release Date : 2025-02-11

Evolving Strategies For Organizational Management And Performance Evaluation written by Marcão, Ricardo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Business & Economics categories.


In today's business landscape, organizations recognize the importance of new strategies for effective management and performance evaluation. Traditional approaches to leadership and performance assessments are no longer sufficient in addressing the complex challenges and opportunities presented by rapid technological advancements, globalization, and shifting workforce expectations. As such, organizations are adopting more adaptive, data-driven, and employee-centric strategies to improve performance, foster innovation, and ensure sustainable growth. By embracing new methodologies in management and performance evaluation, companies can better align their goals with emerging trends, optimize productivity, and create a more agile, resilient organizational culture. Evolving Strategies for Organizational Management and Performance Evaluation explores the evolving strategies and theories behind organizational management and performance evaluation. It covers advanced management methodologies, focusing on practical approaches to improving organizational structures and evaluating employee performance. This book covers topics such as small and medium enterprises, management science, and employee performance, and is a useful resource for business owners, managers, computer engineers, academicians, data scientists, and researchers.



Business Intelligence And Performance Management


Business Intelligence And Performance Management
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Author : Peter Rausch
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-02-15

Business Intelligence And Performance Management written by Peter Rausch and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-15 with Computers categories.


During the 21st century business environments have become more complex and dynamic than ever before. Companies operate in a world of change influenced by globalisation, volatile markets, legal changes and technical progress. As a result, they have to handle growing volumes of data and therefore require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates. Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others. Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.



Data Mining For Business Intelligence


Data Mining For Business Intelligence
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Author : Monelli Ayyavaraiah
language : en
Publisher: Academic Guru Publishing House
Release Date : 2023-11-25

Data Mining For Business Intelligence written by Monelli Ayyavaraiah and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-25 with Study Aids categories.


The book offers data mining as a crucial tool for managing company data and as an innovative technology for gaining a competitive edge. The readers will get the ability to discern data sources and modify them for data mining. They will also gain comprehensive knowledge of all data mining techniques, methodologies, and tools. The book’s cover will enable you to systematically discover possibilities for extracting business value from data using analytical means. This book delves into the ideas of data mining and data warehousing, which are rapidly growing areas in database systems. It provides a comprehensive and detailed introduction to the topic of data mining. Data mining is an interdisciplinary field that incorporates various disciplines such as database technology, statistics, machine learning, neural networks, artificial intelligence, pattern recognition, knowledge-based systems, knowledge acquisition, information retrieval, high-performance computing, and data visualization. More specifically it explores the methodologies for extracting patterns and insights from extensive datasets, referred to as knowledge discovery through data, or KDD. The main emphasis is on evaluating the practicality, utility, efficiency, and expandability of data mining methods for large data sets. The objective is to introduce essential principles and methods for each subject, educating the reader with the necessary foundation for the practical implementation of data mining in real-world scenarios.