| business intelligence change management: Profiles in Performance Howard Dresner, 2009-10-09 Too many organizations invest in performance management and business intelligence projects, without first establishing the needed conditions to ensure success. But the organizations that lay the groundwork for effective change first reap the benefits. In Profiles in Performance: Business Intelligence Journeys and the Road Map for Change, Howard Dresner (author of The Performance Management Revolution) worked with several extraordinary organizations to understand their thriving performance-directed culture. In doing so, he developed a unique maturity model-which served as both a filter to select candidates and as a lens to examine accomplishments. Interviews with people from all sides of the organization: business users, finance, senior management and the IT department Provides a complete picture of their progress from inception to current state The models, analyses and real world accounts from these cases will be an invaluable resource to any organization hoping to improve or initiate their own performance-directed culture. |
| business intelligence change management: Change Intelligence Barbara A. Trautlein, 2013 In the world of business, the ability to handle constant change makes the difference between success and failure. Today, executives, supervisors, and project managers have plenty of methodologies for managing change, yet the failure rate of major organizational change is still an abysmal 70 percent. In this innovative guide, Barbara Trautlein argues that this is because our current approaches are inadequate when not used in tandem with a deep understanding of change intelligence, or CQ the skill set required to lead a team or company through vital transformations. Inside, she gives readers access to a proprietary, interactive CQ assessment that s based on substantial research and experience in working with hundreds of top organizations. And after readers learn their own change leader style, they go on to discover practical strategies for leveraging their strengths and shoring up their weak spots. Trautlein, a leading authority on change leadership, keeps the theory light and delves into insightful case studies drawn from her decades of experience. Her example-based approach allows readers to plainly see how they can start driving real transformation not by adopting yet another new tool but by bolstering their own capacity for change leadership. |
| business intelligence change management: Business Intelligence David Loshin, 2012-11-27 Business Intelligence: The Savvy Managers Guide, Second Edition, discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program. It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered. This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts. - Guides managers through developing, administering, or simply understanding business intelligence technology - Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization's data into actionable knowledge - Contains a handy, quick-reference to technologies and terminology |
| business intelligence change management: Business Intelligence and Performance Management Peter Rausch, Alaa F. Sheta, Aladdin Ayesh, 2013-02-15 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. |
| business intelligence change management: Business Intelligence Success Factors Olivia Parr Rud, 2009-06-02 Over the last few decades, the growth of Business Intelligence has enabled companies to streamline many processes and expand into new markets on an unprecedented scale. New BI technologies are also enabling mass collaboration and innovation. However, implementation of these BI solutions often gives rise to new challenges. Business Intelligence Success Factors shows you how to turn those challenges into opportunities by mastering five key skills. Olivia Parr Rud shares insights gained from her two decades of experience in Business Intelligence to offer the latest practices that are emerging in organizational development. Written to help enhance your understanding of the current business climate and to provide the tools necessary to thrive in this new global economy, Business Intelligence Success Factors examines the components of chaos theory, complex adaptive systems, quantum physics, and evolutionary biology. A scientific framework for these new corporate issues helps explain why developing these key competencies are critical, given the speed of change, globalization, as well as advancements in technology and Business Intelligence. Divided into four cohesive parts, Business Intelligence Success Factors explores: The current business landscape as well as the latest scientific research: today's business realities and how and why they can lead to chaos New scientific models for viewing the global economy The five essential competencies—Communication, Collaboration, Innovation, Adaptability, and Leadership—that improve an organization's ability to leverage the new opportunities in a volatile global economy Profiles of several amazing leaders who are working to make a difference Cutting-edge research and case studies via invited contributors offering a wealth of knowledge and experience Move beyond mere survival to realize breakaway success in the global economy with the practical guidance found in Business Intelligence Success Factors. |
| business intelligence change management: Change Management Excellence Steve Macaulay, Hilary Coldicott, 2004 Using the compass of the intelligences, a unique device developed by the authors, Change Management Excellence shows the reader how to lead and navigate change by employing business, political, spiritual and emotional intelligence. |
| business intelligence change management: The Profit Impact of Business Intelligence Steve Williams, Nancy Williams, 2010-07-27 The Profit Impact of Business Intelligence presents an A-to-Z approach for getting the most business intelligence (BI) from a company's data assets or data warehouse. BI is not just a technology or methodology, it is a powerful new management approach that – when done right – can deliver knowledge, efficiency, better decisions, and profit to almost any organization that uses it. When BI first came on the scene, it promised a lot but often failed to deliver. The missing element was the business-centric focus explained in this book. It shows how you can achieve the promise of BI by connecting it to your organization's strategic goals, culture, and strengths while correcting your BI weaknesses. It provides a practical, process-oriented guide to achieve the full promise of BI; shows how world-class companies used BI to become leaders in their industries; helps senior business and IT executives understand the strategic impact of BI and how they can ensure a strong payoff from their BI investments; and identifies the most common mistakes organizations make in implementing BI. The book also includes a helpful glossary of BI terms; a BI readiness assessment for your organization; and Web links and extensive references for more information. - A practical, process-oriented book that will help organizations realize the promise of BI - Written by Nancy and Steve Williams, veteran consultants and instructors with hands-on, in the trenches experience in government and corporate business intelligence applications - Will help senior business and IT executives understand the strategic impact of BI and how they can help ensure a strong payoff on BI investments |
| business intelligence change management: Business Intelligence and Big Data Celina M. Olszak, 2020-11-17 The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success. |
| business intelligence change management: ADKAR Jeff Hiatt, 2006 In his first complete text on the ADKAR model, Jeff Hiatt explains the origin of the model and explores what drives each building block of ADKAR. Learn how to build awareness, create desire, develop knowledge, foster ability and reinforce changes in your organization. The ADKAR Model is changing how we think about managing the people side of change, and provides a powerful foundation to help you succeed at change. |
| business intelligence change management: Business Intelligence in the Digital Economy Mahesh S. Raisinghani, 2004-01-01 Annotation Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks describes business intelligence (BI), how it is being conducted and managed and its major opportunities, limitations, issues and risks. This book takes an in-depth look at the scope of global technological change and BI. During this transition to BI, information does not merely add efficiency to the transaction; it adds value. This book brings together high quality expository discussions from experts in this field to identify, define, and explore BI methodologies, systems, and approaches in order to understand the opportunities, limitations and risks. |
| business intelligence change management: Global Business Intelligence J Mark Munoz, 2017-11-10 Global Business Intelligence refers to an organization’s ability to gather, process and analyze pertinent international information in order to make optimal business decisions in a timely manner. With a challenging economic and geopolitical environment, companies and executives need to be adept at information gathering in order to manage emerging challenges and gain competitive advantages. This book Global Business Intelligence assembles a cast of international experts and thought leaders and explores the implications of business intelligence on contemporary management. Global Business Intelligence will be a key resource for researchers, academics, students and policy makers alike in the fields of International Business & Management, Business Strategy, and Geopolitics as well as related disciplines like Political Science, Economics, and Geography. |
| business intelligence change management: Lead and Disrupt Charles A. O’Reilly III, Michael L. Tushman, 2016-03-30 In the past few years, a number of well-known firms have failed; think of Blockbuster, Kodak, or RadioShack. When we read about their demise, it often seems inevitable—a natural part of creative destruction. But closer examination reveals a disturbing truth: Companies large and small are shuttering more quickly than ever. What does it take to buck this trend? The simple answer is: ambidexterity. Firms must remain competitive in their core markets, while also winning in new domains. Innovation guru Clayton M. Christensen has been pessimistic about whether established companies can prevail in the face of disruption, but Charles A. O'Reilly III and Michael L. Tushman know they can! The authors explain how shrewd organizations have used an ambidextrous approach to solve their own innovator's dilemma. They contrast these luminaries with companies which—often trapped by their own successes—have been unable to adapt and grow. Drawing on a vast research program and over a decade of helping companies to innovate, the authors present a set of practices to guide firms as they adopt ambidexterity. Top-down and bottom-up leaders are key to this process—a fact too often overlooked in the heated debate about innovation. But not in this case. Readers will come away with a new understanding of how to improve their existing businesses through efficiency, control, and incremental change, while also seizing new markets where flexibility, autonomy, and experimentation rule the day. |
| business intelligence change management: Business Analysis for Business Intelligence Bert Brijs, 2016-04-19 Aligning business intelligence (BI) infrastructure with strategy processes not only improves your organization's ability to respond to change, but also adds significant value to your BI infrastructure and development investments. Until now, there has been a need for a comprehensive book on business analysis for BI that starts with a macro view and |
| business intelligence change management: Change Management Excellence H. James Harrington, 2006 |
| business intelligence change management: E-business Innovation and Change Management Mohini Singh, Dianne Waddell, 2004-01-01 This work addresses e-business innovation and change management issues. It provides an understanding of the interdependence and synergy between the two issues and that a holistic approach is imperative for organizations to survive in this economy and achieve a competitive advantage. |
| business intelligence change management: IT-Enabled Business Change Sharm Manwani, 2008 The high profile failure of major IT-related projects in both public and private sectors underlines the need for stringent change management. As businesses increasingly look to IT to enable that change, this book examines the types of business change processes that involve the use of IT, from the reasons organisations change the way they work, to how that change is managed and implemented. |
| business intelligence change management: Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications Rahman El Sheikh, Asim Abdel, 2011-09-30 Business intelligence applications are of vital importance as they help organizations manage, develop, and communicate intangible assets such as information and knowledge. Organizations that have undertaken business intelligence initiatives have benefited from increases in revenue, as well as significant cost savings.Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications highlights the marriage between business intelligence and knowledge management through the use of agile methodologies. Through its fifteen chapters, this book offers perspectives on the integration between process modeling, agile methodologies, business intelligence, knowledge management, and strategic management. |
| business intelligence change management: Reviving Businesses With New Organizational Change Management Strategies Nuno Geada, Pedro Fernandes Anunciação, 2021 This book analyzes the sensitivity of organizations to change management based on methodologies and tools to control impacts and investigates how employees are impacted by their environment discussing issues such as technology communication and business continuity and the importance of collaborative and interactive relationship pertaining to change management-- |
| business intelligence change management: Business Intelligence Strategy and Big Data Analytics Steve Williams, 2016-04-08 Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like big data and big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans |
| business intelligence change management: Agile Change Management Melanie Franklin, 2021-10-03 The second edition of Agile Change Management provides essential tools to build change manager capabilities and ensure change initiatives are embedded effectively throughout the organization. This book is a comprehensive resource for creating a roadmap that is flexible and unique to each organization to manage any type of change initiative. Detailing all the processes, activities and information needed, from creating the right environment for change to completing iterative tasks, it shows how to respond to different needs as they arise, reducing the potential for wasted time and resources. The updated second edition features chapters on behavioural change and decomposition in planning iterations, and new material on prototyping for business needs and virtual leadership. Whether implementing a large-scale transformation or working through projects at micro-level, Agile Change Management provides tools, frameworks and examples necessary to adapt to and manage change effectively. |
| business intelligence change management: Business Intelligence for the Enterprise Mike Biere, 2003 This text aims to help you to maximize the potential of Business Intelligence in your organization. It includes stories of companies that implemented BI - those that have succeeded and those that have failed. |
| business intelligence change management: Business Intelligence Marinela Mircea, 2012-02-01 The work addresses to specialists in informatics, with preoccupations in development of Business Intelligence systems, and also to beneficiaries of such systems, constituting an important scientific contribution. Experts in the field contribute with new ideas and concepts regarding the development of Business Intelligence applications and their adoption in organizations. This book presents both an overview of Business Intelligence and an in-depth analysis of current applications and future directions for this technology. The book covers a large area, including methods, concepts, and case studies related to: constructing an enterprise business intelligence maturity model, developing an agile architecture framework that leverages the strengths of business intelligence, decision management and service orientation, adding semantics to Business Intelligence, towards business intelligence over unified structured and unstructured data using XML, density-based clustering and anomaly detection, data mining based on neural networks. |
| business intelligence change management: The Science of Successful Organizational Change Paul Gibbons, 2015 Identifies dozens of myths, bad models, and unhelpful metaphors, replacing some with twenty-first century research and revealing gaps where research needs to be done ... Links the origins of theories about change to the history of ideas and suggests that the human sciences will provide real breakthroughs in our understanding of people in the twenty-first century ... Change fundamentally involves changing people's minds, yet the most recent research shows that provision of facts may 'strengthen' resistance ... will help you build influence, improve communication, optimize decision making, and sustain change--Jacket. |
| business intelligence change management: Leading Change John P. Kotter, 2012 From the ill-fated dot-com bubble to unprecedented merger and acquisition activity to scandal, greed, and, ultimately, recession -- we've learned that widespread and difficult change is no longer the exception. By outlining the process organizations have used to achieve transformational goals and by identifying where and how even top performers derail during the change process, Kotter provides a practical resource for leaders and managers charged with making change initiatives work. |
| business intelligence change management: Business Intelligence Jerzy Surma, 2011-03-06 This book is about using business intelligence as a management information system for supporting managerial decision making. It concentrates primarily on practical business issues and demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration. |
| business intelligence change management: The AI-Powered Enterprise Seth Earley, 2020-04-28 Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence--AI--is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave--rather than be crushed by it--need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development. |
| business intelligence change management: Applying Business Intelligence Initiatives in Healthcare and Organizational Settings Miah, Shah J., Yeoh, William, 2018-07-13 Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Applying Business Intelligence Initiatives in Healthcare and Organizational Settings incorporates emerging concepts, methods, models, and relevant applications of business intelligence systems within problem contexts of healthcare and other organizational boundaries. Featuring coverage on a broad range of topics such as rise of embedded analytics, competitive advantage, and strategic capability, this book is ideally designed for business analysts, investors, corporate managers, and entrepreneurs seeking to advance their understanding and practice of business intelligence. |
| business intelligence change management: Enterprise Interoperability Martin Zelm, Marten van Sinderen, Luis Ferraira Pires, Guy Doumeingts, 2014-04-16 In a fast changing global economy governed by Enterprise Services and the Future Internet, enterprises and virtual factories will self-organize in distributed, interoperable, innovation Ecosystems where the issues of Enterprise Interoperability need to be solved in a multi-view of information, services and processes throughout Enterprise Networks. The book constitutes the proceedings of five workshops co- located with the Fifth IFIP Working Conference IWEI 2013. It contains the presented peer reviewed papers and summaries of the workshop discussions. Complementing the IWEI Conference program, the workshops aimed at exploiting new issues, challenges and solutions for Enterprise Interoperability and Manufacturing Eco Systems. The scope of the workshops spanned over a range of interoperability issues in Service Science and innovation, Model Driven Service Engineering Architectures, Service Modelling Languages, reference ontology for manufacturing , Case studies and tools particularly for SMEs, Business – IT alignment and related Standardization. Contents 1 – Model Driven Services Engineering Architecture (MDSEA): A Result of MSEE Project An Architecture for Service Modelling in Servitization Context: MDSEA, Y. Ducq. A Set of Templates for MDSEA, D. Chen. 2 – Interoperability to Support Business–IT Alignment Report Workshop 2, I.-S. Fan, V. Taratoukhine, M. Matzner. Interoperability as a Catalyst for Business Innovation, J.H.P. Eloff, M.M. Eloff, M.T. Dlamini, E. Ngassam, D. Ras. Process-Oriented Business Modeling – An Application in the Printing Industry, A. Malsbender, K. Ortbach, R. Plattfaut, M. Voigt, B. Niehaves. A Comparative Study of Modelling Methodologies Using a Concept of Process Consistency, E. Babkin, E. Potapova, Y. Zelenova. Maintenance Support throughout the Life-Cycle of High Value Manufacturing Products. Interoperability Issues, A. Fedotova, V. Taratoukhine, Y. Kupriyanov. Using Enterprise Architecture to Align Business Intelligence Initiatives, I.-S. Fan, S. Warner. Towards Enterprise Architecture Using Solution Architecture Models, V. Agievich, R. Gimranov, V. Taratoukhine, J. Becker. 3 – Standardisation for Interoperability in the Service-Oriented Enterprise Report Workshop 3, M. Zelm, D. Chen. Standardisation in Manufacturing Service Engineering, M. Zelm, G. Doumeingts. Service Modelling Language and Potentials for a New Standard, D. Chen. An Approach to Standardise a Service Life Cycle Management, M. Freitag, D. Kremer, M. Hirsch, M. Zelm. Open Business Model, Process and Service Innovation with VDML and ServiceML, A. J. Berre, H. De Man, Y. Lew, B. Elvesæter, B.M. Ursin-Holm. Reference Ontologies for Manufacturing, R. Young, N. Hastilow, M. Imran, N. Chungoora, Z. Usman, A.-F. Cutting-Decelle. Standardisation Tools for Negotiating Interoperability Solutions, T. Santos, C. Coutinho, A. Cretan, M. Beca, R. Jardim-Goncalves. 4 – Case Studies on Enterprise Interoperability: How IT Managers Profit from EI Research Report Workshop 4, S. Kassel. Experiences of Transferring Approaches of Interoperability into SMEs, F. Gruner, S. Kassel. 5 – Selected New Applications of Enterprise Interoperability . 179 Report Workshop 5, L. Ferreira Pires, P. Johnson. Service-Oriented Enterprise Interoperability in Logistics, W. Hofman. An Ontological Approach to Logistics, L. Daniele, L. Ferreira Pires. Social Vision of Collaboration of Organizations on a Cloud Platform, A. Montarnal, W. Mu, F. Bénaben, A.-M. Barthe-Delanoë, J. Lamothe. Semantic Standards Quality Measured for Achieving Enterprise Interoperability: The Case of the SETU Standard for Flexible Staffing, E. Folmer, H. Wu. Requirements Formalization for Systems Engineering: An Approach for Interoperability Analysis in Collaborative Process Model, S. Mallek, N. Daclin, V. Chapurlat, B. Vallespir. |
| business intelligence change management: Business Intelligence Rimvydas Skyrius, 2021-03-08 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. |
| business intelligence change management: Business Analytics Principles, Concepts, and Applications with SAS Marc J. Schniederjans, Dara G. Schniederjans, Christopher M. Starkey, 2014-10-07 Responding to a shortage of effective content for teaching business analytics, this text offers a complete, integrated package of knowledge for newcomers to the subject. The authors present an up-to-date view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives. Business Analytics Principles, Concepts, and Applications with SAS offers a proven step-wise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making. Using step-by-step examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the real-world use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning. Unlike most competitive guides, Business Analytics Principles, Concepts, and Applications with SAS demonstrates the use of SAS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself. |
| business intelligence change management: The Human Change Management Body of Knowledge (HCMBOK®) Vicente Goncalves, Carla Campos, 2018-01-31 I am happy to recommend this work. I believe in the principles presented in it and identify with its context. Due to the lack of knowledge on the subject in the market, it is a topic that must be made known. The book should be in the library of all project and change managers.— Paul Dinsmore, PMI Fellow Every manager should integrate HCMBOK® practices into their project management methodology in order to fully develop their work. This book addresses a simple and practical way that the critical component in organizational change management can be applied to projects of all kinds: the human factor.— Bruno Machado, Director, Project Management Office, Grupo Anima Educação We live in a time of change, speed, and an avalanche of information. It is still very difficult for most companies to change their organizational culture efficiently. This book makes us reflect upon the crucial element in any change, and which most managers do not place in the foreground—the people. — Joyce Meyer, CEO, iDigo In today's constantly changing world, the Project Manager must have sensitivity to how people react to change. Knowing a method that provides a structured way to take care of the human aspect is a key factor in the success of any project! HCMBOK® offers a simple and practical approach to managing change, which can be easily incorporated into the project management routine, providing amazing results.— Pedro Augusto Cardoso da Silva, Engineering Director, METRÔRIO This reference starts by presenting the concept of change management, its players, strategies, and applicable models. In the second part, the book covers the set of good practices, methodology, and tools known as the HCMBOK®— Human Change Management Body of Knowledge. The third part introduces the concept of the Change Management Office (CMO) and its relation to the strategic planning of an organization. The book concludes with the competencies essential for a change manager, an approach to agile methodologies, and a model for managing cultural change. |
| business intelligence change management: Implementing Business Intelligence in Your Healthcare Organization Cynthia McKinney, MBA, FHIMSS, PMP, Ray Hess, RRT, 2012-02-18 Implementing business intelligence is a strategic activity that channels the outcomes of performance throughout the healthcare organization and its stakeholders. Additionally, business intelligence provides a visual, high-level view of historical trends, current operations and predictive analysis. Through insightful chapters written by industry experts and numerous, real-world case studies, this book demonstrates myriad practical and proven steps to developing a business intelligence solution, including pre- and post-implementation issues. This book is packed with information that will help you and your organization raise awareness of hidden business intelligence, generate improved analytical data and spread the access to this new information across the continuum of care. 2012. |
| business intelligence change management: Business Intelligence David Loshin, 2012-10-17 This completely updated best seller is a must read for anyone who wants an understanding of business intelligence, business management disciplines, data warehousing, and how all of the pieces work together. |
| business intelligence change management: Leading and Managing Change in the Age of Disruption and Artificial Intelligence Mathew Donald, 2019-05-24 This book explores disruption and artificial intelligence in an organisational context to inform and prepare those that are in management positions now and into the future. |
| business intelligence change management: Change Management During Unprecedented Times Tennin, Kyla Latrice, 2023-04-25 Conclusively, resilience, education, financial inclusion, digital transformation, strategic partnerships, and particularly change management are needed when crises occur in order to save and advance organizational ecosystems and economies. Therefore, it is crucial to know about the ideation and processes of change management to improve companies negative circumstances. Change Management During Unprecedented Times examines organizational change management through the lenses of research and innovative practices contained within the fields of leadership and organizational change. The book enlightens communities through the efforts of a research perspective that amplifies practice-based potential in applying theory, models, and frameworks to real-time issues. Covering topics such as technology, ethics, entrepreneurship, and communication, this reference work is ideal for business owners, managers, researchers, scholars, academicians, practitioners, instructors, and students. |
| business intelligence change management: Business Analytics Principles, Concepts, and Applications Marc J. Schniederjans, Dara G. Schniederjans, Christopher M. Starkey, 2014-04-23 Learn everything you need to know to start using business analytics and integrating it throughout your organization. Business Analytics Principles, Concepts, and Applications brings together a complete, integrated package of knowledge for newcomers to the subject. The authors present an up-to-date view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives. They offer a proven step-wise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making. Using step-by-step examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the real-world use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning. Unlike most competitive guides, this text demonstrates the use of IBM's menu-based SPSS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself. A valuable resource for all beginning-to-intermediate-level business analysts and business analytics managers; for MBA/Masters' degree students in the field; and for advanced undergraduates majoring in statistics, applied mathematics, or engineering/operations research. |
| business intelligence change management: Data Science and Business Intelligence for Corporate Decision-Making Dr. P. S. Aithal, 2024-02-09 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. |
| business intelligence change management: Decision Support, Analytics, and Business Intelligence, Third Edition Daniel J. Power, Ciara Heavin, 2017-06-08 Rapid technology change is impacting organizations large and small. Mobile and Cloud computing, the Internet of Things (IoT), and “Big Data” are driving forces in organizational digital transformation. Decision support and analytics are available to many people in a business or organization. Business professionals need to learn about and understand computerized decision support for organizations to succeed. This text is targeted to busy managers and students who need to grasp the basics of computerized decision support, including: What is analytics? What is a decision support system? What is “Big Data”? What are “Big Data” business use cases? Overall, it addresses 61 fundamental questions. In a short period of time, readers can “get up to speed” on decision support, analytics, and business intelligence. The book then provides a quick reference to important recurring questions. |
| business intelligence change management: Business Intelligence Guidebook Rick Sherman, 2014-11-04 Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. - Provides practical guidelines for building successful BI, DW and data integration solutions. - Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. - Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses - Describes best practices and pragmatic approaches so readers can put them into action. - Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources. |
| business intelligence change management: Cases on Social Media and Entrepreneurship Hossain, Syed Far Abid, 2024-03-11 In the 21st century, social media has emerged as a pivotal force shaping business strategies and entrepreneurship. The rapid evolution of social media platforms poses a pressing question: how can one effectively address this fast-paced transformation? Cases on Social Media and Entrepreneurship explores this and delves into media entrepreneurship, giving special attention to its role in developing women entrepreneurs. It skillfully tackles the challenge of gender disparities within the entrepreneurial landscape. Simultaneously, it also explores how to harness the power of artificial intelligence amid the integration challenges it presents, offering instrumental insights for entrepreneurs and investors, stakeholders, government officials, and policymakers. The book does not stop at identifying challenges; it propels the discourse forward by exploring the future of social media entrepreneurship in business. Addressing AI-related concerns, the book investigates whether it threatens social media entrepreneurs or opens up new avenues for growth. Themes like poverty alleviation, the impact on advertising costs, and the intersection of social media entrepreneurship with AI-driven advancements are thoroughly examined. |
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys and….
VENTURE | English meaning - Cambridge Dictionary
VENTURE definition: 1. a new activity, usually in business, that involves risk or uncertainty: 2. to risk going….
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, especially one that….
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the person who has or….
AD HOC | English meaning - Cambridge Dictionary
AD HOC definition: 1. made or happening only for a particular purpose or need, not planned before it happens: 2. made….
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys and….
VENTURE | English meaning - Cambridge Dictionary
VENTURE definition: 1. a new activity, usually in business, that involves risk or uncertainty: 2. to risk going….
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, especially one that….
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the person who has or….
AD HOC | English meaning - Cambridge Dictionary
AD HOC definition: 1. made or happening only for a particular purpose or need, not planned before it happens: 2. made….
LEVERAGE | English meaning - Cambridge Dictionary
LEVERAGE definition: 1. the action or advantage of using a lever: 2. power to influence people and get the results you….
ENTREPRENEUR | English meaning - Cambridge Dictionary
ENTREPRENEUR definition: 1. someone who starts their own business, especially when this involves seeing a new opportunity….
CULTIVATE | English meaning - Cambridge Dictionary
CULTIVATE definition: 1. to prepare land and grow crops on it, or to grow a particular crop: 2. to try to develop and….
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the….
LIAISE | English meaning - Cambridge Dictionary
LIAISE definition: 1. to speak to people in other organizations, etc. in order to work with them or exchange….
