Real-time Strategy and Business Intelligence PDF Download

Author: Marko Kohtamäki
Publisher: Springer
ISBN: 3319548468
Category : Business & Economics
Languages : en
Pages : 233

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Book Description
This book discusses and conceptualizes practices on real-time strategy, focusing on the interplay between strategy and business intelligence. Combining strategic practices and business intelligence systems, the authors demonstrate how managerial practices can be developed in the age of digitization. Also developing the concept of strategic agility, the book provides perspectives from a range of disciplines including strategic practices and decision making, customer relationship management, human resource management, competitive intelligence, supplier network management and business intelligence systems. Presenting managerial frameworks and guidelines, Real-time Strategy and Business Intelligence explores how to improve utilization of business intelligence systems in real-time decision making. Providing practical and future-oriented insights backed by examples and best practices, the authors present a clearly conceptualized theoretical framework.

Author: Bernd Heesen
Publisher: Springer
ISBN: 3662479230
Category : Business & Economics
Languages : en
Pages : 249

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Book Description
This book demonstrates how an improved strategic management approach, leveraging established management concepts in conjunction with the innovative technology solutions offered by business intelligence, can lead to better performance. It presents the three main barriers to effective strategy execution and explains how they can be overcome. Creating a shared understanding of the strategy at all levels of the organization using a Value ScorecardTM and following the Strategic Alignment ProcessTM allow organizations to measure and monitor performance. Strategic Alignment Remote ControlTM is presented as the ultimate tool for managers to remain in control of their business. Seven case studies from different industries across the globe provide examples of how the organizational performance can be improved. They include companies like Daimler, Tetra-Pak, Würth, Germany's Federal Employment Agency, the city of Aix-Les-Bains, and Giesecke & Devrient. Additional examples from organizations like Disney, Marriott, Volkswagen, Avis, FedEx, and Harrahs help to demonstrate how applying the concepts introduced adds unique value. The second edition of this book has been updated and improved. Additionally it includes a separate section on decision-making under uncertainty and the results of a survey on the adoption of business intelligence.

Author: Andreas Schühly
Publisher: Emerald Publishing Limited
ISBN: 9781787568129
Category : Business & Economics
Languages : en
Pages : 0

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Book Description
Combining classical scenario thinking (the gentle art of perception) with the analytical power of big data and artificial intelligence, Real Time Strategy presents the decision making of the future which enables decision makers to develop dynamic strategies, monitor their validity, and react faster.

Author: David L. Blenkhorn
Publisher: Bloomsbury Publishing USA
ISBN: 0313001057
Category : Business & Economics
Languages : en
Pages : 328

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Book Description
For specialists and nonspecialists alike, this perceptive selection of the newest and up and coming tools and techniques of competitive intelligence, offering a well balanced combination of theory and practice. It shows how advances in computers and technology have accelerated progress in CI management, and the ways in which CI has affected (and been affected by) all major business functions and processes. It explores applications to organizations of various sizes and types, in both the public and private sectors. Editors Fleisher and Blenkhorn link leading-edge research in CI to advances in current practice, and balance pragmatic against conceptual concerns. Analysts, strategists and organizational decision makers at higher levels will find the book especially valuable, as they seek to make sense of the business environment and assess their organizations' evolving, dynamic places in it. The pace of change in today's global, competitive economy is greater than at any time in recorded history. Thus, as never before, companies need better tools for business and competitive analysis. The book surveys applications of CI that are critical to business processes, such as mergers and acquisitions, and to evolving industries, such as biotechnology. They focus on how push and pull Internet technologies affect data gathering and analysis and how CI can be managerially assessed using multiple evaluative approaches, unavailable until now in the public domain. They then turn to the future, and lay out some startling yet plausible viewpoints on what the next frontiers of competitive intelligence will be and how organizations can and must ready themselves for them.

Author: P. Mary Jeyanthi
Publisher: Springer Nature
ISBN: 3030827631
Category : Technology & Engineering
Languages : en
Pages : 236

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Book Description
This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.

Author: Marie-Aude Aufaure
Publisher: Springer Science & Business Media
ISBN: 3642273572
Category : Business & Economics
Languages : en
Pages : 215

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Book Description
Business Intelligence (BI) promises an organization the capability of collecting and analyzing internal and external data to generate knowledge and value, providing decision support at the strategic, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena and the evolution of society and users, and needs to take into account high-level semantics, reasoning about unstructured and structured data, and to provide a simplified access and better understanding of diverse BI tools accessible trough mobile devices. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors’, suppliers’, or distributors’ data, governmental or NGO-based analysis and papers, or from research publications. The lectures held at the First European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI technologies like data warehouses, OLAP query processing, or performance issues, but extend into new aspects that are important in this new environment and for novel applications, e.g., semantic technologies, social network analysis and graphs, services, large-scale management, or collaborative decision making. Combining papers by leading researchers in the field, this volume will equip the reader with the state-of-the-art background necessary for inventing the future of BI. It will also provide the reader with an excellent basis and many pointers for further research in this growing field.

Author: Deepak Pareek
Publisher: CRC Press
ISBN: 0849387914
Category : Business & Economics
Languages : en
Pages : 312

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Book Description
Bringing together market research reports, business analyst briefings, and technology references into one comprehensive volume, Business Intelligence for Telecommunications identifies those advances in both methods and technology that are being employed to inform decision-making and give companies an edge in the rapidly growing and highly co

Author: Rimvydas Skyrius
Publisher: Springer Nature
ISBN: 3030670325
Category : Computers
Languages : en
Pages : 281

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Book Description
This book examines the managerial dimensions of business intelligence (BI) systems. It develops a set of guidelines for value creation by implementing business intelligence systems and technologies. In particular the book looks at BI as a process – driven by a mix of human and technological capabilities – to serve complex information needs in building insights and providing aid in decision making. After an introduction to the key concepts of BI and neighboring areas of information processing, the book looks at the complexity and multidimensionality of BI. It tackles both data integration and information integration issues. Bodies of knowledge and other widely accepted collections of experience are presented and turned into lessons learned. Following a straightforward introduction to the processes and technologies of BI the book embarks on BI maturity and agility, the components, drivers and inhibitors of BI culture and soft BI factors like attention, sense and trust. Eventually the book attempts to provide a holistic view on business intelligence, possible structures and tradeoffs and embarks to provide an outlook on possible developments in BI and analytics.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 82

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Book Description

Author: Dr. P. S. Aithal
Publisher: Srinivas Publication, Mangalore
ISBN: 9394676449
Category : Art
Languages : en
Pages : 222

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Book Description
About the Book: A comprehensive book plan on "Data Science and Business Intelligence for Corporate Decision-Making" with 15 chapters, each with several sections: Chapter 1: Introduction to Data Science and Business Intelligence Chapter 2: Foundations of Data Science Chapter 3: Business Intelligence Tools and Technologies Chapter 4: Data Visualization for Decision-Making Chapter 5: Machine Learning for Business Intelligence Chapter 6: Big Data Analytics Chapter 7: Data Ethics and Governance Chapter 8: Data-Driven Decision-Making Process Chapter 9: Business Intelligence in Marketing Chapter 10: Financial Analytics and Business Intelligence Chapter 11: Operational Excellence through Data Analytics Chapter 12: Human Resources and People Analytics Chapter 13: Case Studies in Data-Driven Decision-Making Chapter 14: Future Trends in Data Science and Business Intelligence Chapter 15: Implementing Data Science Strategies in Corporations Each chapter dives deep into the concepts, methods, and applications of data science and business intelligence, providing practical insights, real-world examples, and case studies for corporate decision-making processes.