2024
Data Analytics by
If you are a manager who receives the results of any data analyst's work to help with your decision-making, this book is for you. Anyone playing a role in the field of analytics can benefit from this book as well. In the two decades the editors of this book spent teaching and consulting in the field of analytics, they noticed a critical shortcoming in the communication abilities of many analytics professionals. Specifically, analysts have difficulty in articulating in business terms what their analyses showed and what actionable recommendations were made. When analysts made presentations, they tended to lapse into the technicalities of mathematical procedures, rather than focusing on the strategic and tactical impact and meaning of their work. As analytics has become more mainstream and widespread in organizations, this problem has grown more acute. Data Analytics: Effective Methods for Presenting Results tackles this issue. The editors have used their experience as presenters and audience members who have become lost during presentation. Over the years, they experimented with different ways of presenting analytics work to make a more compelling case to top managers. They have discovered tried and true methods for improving presentations, which they share. The book also presents insights from other analysts and managers who share their own experiences. It is truly a collection of experiences and insight from academics and professionals involved with analytics. The book is not a primer on how to draw the most beautiful charts and graphs or about how to perform any specific kind of analysis. Rather, it shares the experiences of professionals in various industries about how they present their analytics results effectively. They tell their stories on how to win over audiences. The book spans multiple functional areas within a business, and in some cases, it discusses how to adapt presentations to the needs of audiences at different levels of management.
ISBN: 9781351973410Publication Date: 2019-02-18
Data is everybody's business : the fundamentals of data monetization by
A guide for business leaders to understand the capabilities and strategies necessary to make money from their data
ISBN: 9780262375344Publication Date: 2023
Information Systems by
Most information systems textbooks overwhelm business students with overly technical information they may not need in their careers. This textbook takes a new approach to the required information systems course for business majors. For each topic covered, the text highlights key "Take-Aways" that alert students to material they will need to remember during their careers. Sections titled "Where You Fit In" and "Why This Chapter Matters" explain how the topics being covered will impact students on the job. Review questions, discussion questions, and summaries are also included. This second edition is updated to include new technology, along with a new running case study. Key features: · Single-mindedly for business students who are not technical specialists · Doesn't try to prepare IS professionals; other courses will do that · Stresses the enabling technologies and application areas that matter the most today · Based on the author's real-world experience · Up to date regarding technology and tomorrow's business needs This is the book the author--and, more importantly, his students--wishes he had when he started teaching. Dr. Mallach holds degrees in engineering from Princeton and MIT, and in business from Boston University. He worked in the computer industry for two decades, as Director of Strategic Planning for a major computer firm and as co-founder/CEO of a computer marketing consulting firm. He taught information systems in the University of Massachusetts (Lowell and Dartmouth) business schools for 18 years, then at Rhode Island College following his retirement. He consults in industry and serves as Webmaster for his community, in between hiking and travel with his wife.
ISBN: 9780367183547Publication Date: 2020-02-17
Statistics for Business by
Statistics for Business is meant as a textbook for students in business, computer science, bioengineering, environmental technology, and mathematics. In recent years, business statistics is used widely for decision making in business endeavours. It emphasizes statistical applications, statistical model building, and determining the manual solution methods. Special Features: This text is prepared based on "self-taught" method. For most of the methods, the required algorithm is clearly explained using flow-charting methodology. More than 200 solved problems provided. More than 175 end-of-chapter exercises with answers are provided. This allows teachers ample flexibility in adopting the textbook to their individual class plans. This textbook is meant to for beginners and advanced learners as a text in Statistics for Business or Applied Statistics for undergraduate and graduate students.
ISBN: 9781138336179Publication Date: 2019-06-04
The complete business analysis fundamentals course by
Covering stakeholder analysis, requirement gathering, and Agile methodologies, the course equips you with practical skills essential for navigating the dynamic realm of data-driven insights in a business context. From the foundational segment to mastering stakeholder and options analysis, this course delves into the essentials of business analysis. It covers diverse requirements gathering techniques, including brainstorming sessions and surveys, emphasizing effective grouping, prioritization, and validation, adding a robust exploration of Agile methodologies, principles, and tools.
ISBN: 9781835465998Publication Date: 2023
Digital Business Transformation by
Fuel your business' transition into the digital age with this insightful and comprehensive resource Digital Business Transformation: How Established Companies Sustain Competitive Advantage offers readers a framework for digital business transformation. Written by Nigel Vaz, the acclaimed CEO of Publicis Sapient, a global digital business transformation company, Digital Business Transformation delivers practical advice and approachable strategies to help businesses realize their digital potential. Digital Business Transformation provides readers with examples of the challenges faced by global organizations and the strategies they used to overcome them. The book also includes discussions of: How to decide whether to defend, differentiate, or disrupt your organization to meet digital challenges How to deconstruct decision-making throughout all levels of your organization How to combine strategy, product, experience, engineering, and data to produce digital results Perfect for anyone in a leadership position in a modern organization, particularly those who find themselves responsible for transformation-related decisions, Digital Business Transformation delivers a message that begs to be heard by everyone who hopes to help their organization meet the challenges of a changing world.
ISBN: 9781119758662Publication Date: 2021-01-08
Digital transformation success : achieving alignment and delivering results with the process inventory framework by
This comprehensive guide delves beyond guiding principles, providing readers with detailed methods, modeling techniques, operating models, and real-world case studies. By leveraging the Process Inventory framework, organizations can enhance existing disciplines like Change Management, Risk Management, and Operational Excellence, enabling effective digital technology design and propelling them into the forefront of the digital age.
ISBN: 9781484298169Publication Date: 2024
Value-Driven Data by
Value-Driven Data explains how data and business leaders can co-create and deploy data-driven solutions for their organizations. Value-Driven Data explores how organizations can understand their problems and come up with better solutions, aligning data storytelling with business needs. The book reviews the main challenges that plague most data-to-business interactions and offers actionable strategies for effective data value implementation, including methods for tackling obstacles and incentivizing change. Value-Driven Data is supported by tried-and-tested frameworks that can be applied to different contexts and organizations. It features cutting-edge examples relating to digital transformation, data strategy, resolving conflicts of interests, building a data P&L and AI value prediction methodology. Recognizing different types of data value, this book presents tangible methodologies for identifying, capturing, communicating, measuring and deploying data-enabled opportunities. This is essential reading for data specialists, business stakeholders and leaders involved in capturing and executing data value opportunities for organizations and for informing data value strategies.
ISBN: 9781398608634Publication Date: 2023-08-03
Demystifying the Dark Side of AI in Business by
Demystifying the Dark Side of AI in Business delves into the often-overlooked negative aspects of Artificial Intelligence (AI) and its implications for organizations. In an era where AI is rapidly transforming industries and work environments, it is crucial to understand the potential risks and challenges associated with its implementation. Drawing from a wide range of global perspectives, this book brings together articles from leading researchers, academicians, and professionals across disciplines to shed light on the dark side of AI. Through academic rigor and meticulous analysis, the book addresses key topics such as unethical AI implementation, safety risks, negative social impacts, unintended consequences, and legal concerns surrounding AI adoption. This book explores the need for effective governance to address the challenges posed by AI. It highlights the potential for AI to be exploited by humans, emphasizing the individual, organizational, and social risks that come with its misuse. By presenting real-world case studies and practical insights, the book equips readers with the knowledge to navigate the complexities of AI implementation and make informed decisions. Demystifying the Dark Side of AI in Business covers crucial topics such as governance, ethical concerns, safety risks, social impacts, and future perspectives. By illuminating the negative implications of AI, this book paves the way for responsible and informed AI adoption, ensuring a balance between the potential benefits and the inherent risks associated with this transformative technology. Targeting researchers, academicians, professionals, and students with a wide range of interests, this book offers a rich understanding of the theoretical and practical implications of AI. It serves as a valuable resource for management disciplines like human resource management, marketing, financial management, and operations management, enabling readers to grasp the nuances of ai in different organizational contexts.
ISBN: 9798369307250Publication Date: 2024-03-11
Data and Analytics Strategy for Business by
For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business. Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience. Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity. It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors. Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making. Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.
ISBN: 9781398606067Publication Date: 2022-06-03
Business Intelligence and Big Data by
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.
ISBN: 9781000218282Publication Date: 2020-11-17
Harnessing Digital Disruption by
Our world has changed, probably for good. Until now, the shift from brick-and-mortar to the smartphone has been about service, cost, and convenience. Now, it's also a matter of public health. How do we win this uncertain new game? How do we prosper in a digital world? In a cool, readable style Harnessing Digital Disruption: How Companies Win with Design Thinking, Agile, and Lean Startup tells the story of a major multi-national organization facing digital disruption and looming irrelevance. In a compelling novel format, the book demonstrates how to harness the power of digital technology, methods and thinking on the path to revival and prosperity. It illustrates the situations, characters, and blockers you'll likely face as you progress through your journey. The setting is Singapore and the heady world of international banking, but the prescription, methods and lessons apply equally to manufacturers, utilities, hospitals, insurers, and government agencies. You will learn how to: · Develop your Digital Transformation strategy and Innovation Portfolio · Reform customer journeys, launch new digital offerings, and validate new beta businesses · Develop senior leader digital literacy, and understanding of growth leadership · De-risk your journey using a proven overall approach based on proven principles · Cultivate a network of pragmatic entrepreneurs practicing a structured scalable innovation process
ISBN: 9780429836961Publication Date: 2020-12-27
Methods of IT Project Management, Fourth Edition by
Designed for graduate, advanced undergraduate, and practitioner project management courses with an information technology focus, Methods of IT Project Management is designed around the Project Management Body of Knowledge (PMBOK), incorporating material from the latest seventh edition while still maintaining the book's process approach. The text provides students with all the concepts, techniques, artifacts, and methods found in the leading project management reference books and modern development methodologies (agile, hybrid, and traditional), while also conveying practical knowledge that can immediately be applied in real-world settings. Unlike other books in this area, the material is organized according to the sequence of a generic project life cycle--from project selection to initiation, planning, execution, control, and iteration or project closeout. Following this life-cycle approach, as opposed to covering the material by knowledge area or project performance domain, allows new learners to simultaneously study project management concepts and methods as they develop skills they can use immediately during and upon completion of the course. The text's structure also allows different programs to use the book during real-world student projects.
ISBN: 9781612497921Publication Date: 2022-10-15
Big Data in Practice by
Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilize it effectively. This book fills the knowledge gap by showing how major companies are using big data every day.From technology, media, and retail to sport teams, government agencies, and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety, and so much more. Organized for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved, and the processes put in place to make it practical, as well as the technical details, challenges, and lessons learned from each unique scenario.- Learn how predictive analytics helps Amazon, Target, John Deere, and Apple understand their customers- Discover how big data is behind the success of Walmart, LinkedIn, Microsoft, and more- Learn how big data is changing medicine, law enforcement, hospitality, fashion, science, and banking
ISBN: 9781663731111Publication Date: 2024-08-27
Information systems management : governance, urbanization and alignment by
Information Systems Management is intended to sensitize the heads of organizations to the issues raised by information systems (IS). Through its pedagogical presentation, this book ensures that issues related to IS are not left solely to the experts in the field.
This book combines and analyzes three key concepts in IS science: governance, urbanization and alignment. While governance implies the implementation of a certain number of means, bodies and procedures to manage IS more effectively, urbanization involves visualization methods to enable the manager to take into account the different levels of the organization of an IS and their coherence. Finally, alignment assesses the ability of the IS to make a significant contribution to the organization's strategy.
ISBN: 9781394297696Publication Date: 2024
Artificial Intelligence and Business Transformation by
This book offers a current perspective on Artificial Intelligence in the context of an ever-changing and growing technological revolution in business management. It analyses how existing companies are adapting, new ones are emerging, and others are disappearing. Process re-engineering has made it possible to reshape organizational structures and create new departments and positions, all geared towards digitalization. The emergence of new business functions has led to new strategic thinking on e.g. companies' structure, size, and core business - but also to the creation of new jobs, the need to cover digital skills, and the need for innovative team management. In short, it is a question of delving deeper into HR and the impact that digitalization has had on it, as the employee is one of the key figures to protect. The book initially focuses on providing a review of the current literature on the advancement of Artificial Intelligence and its impact on business transformation and the emergence of new management models. In turn, it addresses the diverse perspectives that currently dominate the business market, as well as the corporate transformations that have taken place in the post-pandemic era. Lastly, it equips employers with new tools to incorporate into their organizations, facilitating talent retention. In connection with HR, this digital transformation is reflected in new roles for change management and cultural transformation, including the use of digital technologies to improve the employee experience. In brief, the book offers a practical guide to business transformation, technological advances, and their application in human resources departments.
ISBN: 9783031587030Publication Date: 2024-07-02
Data Mining for Business Analytics by
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. "This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject." --Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R
ISBN: 9781119549864Publication Date: 2019-10-28
Decisiones Automatizadas y Protección de Datos: Especial Atención a los Sistemas de Inteligencia Artificial by
La presente obra tiene como objetivo principal estudiar la incidencia de la toma de decisiones automatizadas, y en especial de la inteligencia artificial (IA) en el derecho fundamental a la protección de datos personales.
ISBN: 9788411226028Publication Date: 2022
Strategy in the digital age : mastering digital transformation by
Covering major topics such as big tech, data analytics, artificial intelligence, blockchain, cryptocurrency, autonomy, cybersecurity, data privacy, and antitrust, strategy expert Michael Lenox outlines a set of novel, original frameworks to help those undertaking digital transformation at their organization devise their strategy. Readers will also come away with a greater understanding of how to navigate the human dimension of digital transformation and tackle the numerous social and policy challenges raised by digital technology. With insights from major companies such as Spotify, Facebook, and Uber, Lenox delivers a compelling volume that offers both a foundational understanding of this dynamic environment and an action plan for those seeking a path to digital strategy implementation for their organization.
ISBN: 9781503635760Publication Date: 2023
- Becoming a business analyst : learning to translate data into actionable insights by
In this course, we will explore what business analysts do on the job as well as the knowledge and skills they are expected to have, such as data literacy, statistics, data visualization, and project management. After this course, you will walk away with a clear idea of what it takes to become a business analyst and practical steps you can take to break into the field.
ISBN: 0642572047689Publication Date: 2024
Data analytics for business : lessons for sales, marketing, and strategy by
The foundation of this text is the author's 20-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and data-driven artificial intelligence. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures.
ISBN: 9798350837391Publication Date: 2024- Data Mining for Business Analytics by
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. "This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject." --Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R
ISBN: 9781119549864Publication Date: 2019-10-28
Principles of Managerial Statistics and Data Science by
Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver's race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals.
ISBN: 9781119486497Publication Date: 2020-01-31
2023
Analytics for Business Decisions by
Includes a systematic literature review of data science, data analytics and machine learning applied to healthcare engineering systems
ISBN: 9781803826462Publication Date: 2022- Designing data governance from the ground up : Six steps to build a data-driven culture by
In Designing Data Governance from the Ground Up, you'll build a cross-functional strategy to create roadmaps and stewardship for data-focused projects, embed data governance into your engineering practice, and put processes in place to monitor data after deployment.
ISBN: 9798888650189Publication Date: 2023
Enhancing Business Communications and Collaboration Through Data Science Applications by
Digital evolution has become increasingly present in our lives, whether on cellphones, computers, watches, or other appliances. As a result of the wide access we have to the digital world, the amount of data generated daily is vast. This density of information generated at every moment can be the insight needed for the success of an organization. Much is said about data-based decision-making to generate the best results. The new capabilities of data intelligence unleashed by the emergence of cloud computing and artificial intelligence make it one of the most promising areas of digital transformation change management. Enhancing Business Communications and Collaboration Through Data Science Applications provides relevant theoretical frameworks and the latest empirical research findings in the area. It is written for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. Covering topics such as data science, online business communication, and user-centered design, this premier reference source is an ideal resource for business managers and leaders, entrepreneurs, data scientists, data analysts, sociologists, students and educators of higher education, librarians, researchers, and academicians.
ISBN: 9781668467893Publication Date: 2023-03-21
Dive into data science : use Python to tackle your toughest business challenges by
Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.
ISBN: 9781718502895Publication Date: 2023
Practical business analytics using R and Python : solve business problems using a data-driven approach by
This book explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations.
ISBN: 9781484287545Publication Date: 2023
Architecting solutions with SAP business technology platform by
A practical audio handbook packed with expert advice on architectural considerations for designing solutions using SAP BTP to drive digital innovation
ISBN: 9781805127529Publication Date: 2023- Automating data transformations by
In this report, Satish Jayanthi and Armon Petrossian examine key concepts that will enable you to automate data transformation at scale. IT decision makers, CTOs, and data team leaders will explore ways to democratize data transformation by shifting from activity-oriented to outcome-oriented teams--from manufacturing-line assembly to an approach that lets even junior analysts implement data with only a brief code review.
ISBN: 9781098147587Publication Date: 2023
Enabling Strategic Decision-Making in Organizations Through Dataplex by
Managing big data and data analytics poses unique challenges to many organisations. The effective use of such data is essential to planning business strategies and ensuring future corporate success. Organizations need to know how best to capitalise on the information that they have access to. Enabling Strategic Decision-Making in Organizations through Dataplexbreaks down the role of data in strategic decision making, examining the organizational benefits but also utilising real-world examples of limitations and challenges and how these can be overcome. Dataplex allows for the central management of all data resources in the cloud, removing data silos while also maintaining ethical considerations and policies - the intellectual fabric of data provides a path to centrally monitor, manage and rule the data. The use of case studies, frameworks and applied models makes this text applicable to data practitioners, managers and strategic planners, as well as researchers focusing on problem solving at the organizational level.
ISBN: 9781804550533Publication Date: 2023-01-23
Rewired: The Mckinsey guide to outcompeting in the age of digital and AI by
In Rewired, the world's most influential management consulting firm, McKinsey & Company, delivers a road-tested, how-to manual their own consultants use to help companies build the capabilities to outcompete in the age of digital and AI. Many companies are stuck with digital transformations that are not moving the needle. There are no quick fixes but there is a playbook. The answer is in rewiring your business so hundreds, thousands, of teams can harness technology to continuously create great customer experiences, lower unit costs, and generate value. It's the capabilities of the organization that win the race. McKinsey Digital's top leaders Eric Lamarre, Kate Smaje and Rodney W. Zemmel provide proven how-to details on what it takes in six comprehensive sections - creating the transformation roadmap, building a talent bench, adopting a new operating model, producing a distributed technology environment so teams can innovate, embedding data everywhere, and unlocking user adoption and enterprise scaling. Tested, iterated, reworked, and tested again over the years, McKinsey's digital and AI transformation playbook is captured in the pages of Rewired. It contains diagnostic assessments, operating model designs, technology and data architecture diagrams, how-to checklists, best practices and detailed implementation methods, all exemplified with demonstrated case studies and illustrated with 100+ exhibits. Rewired is for leaders who are ready to roll up their sleeves and do the hard work needed to rewire their company for long-term success.
ISBN: 9781394207121Publication Date: 2023-06-13
Computational Leadership by
Apply the latest computational technologies to your leadership practices In Computational Leadership, renowned leadership researcher Dr. Brian R. Spisak delivers a paradigm-shifting exploration of the use of simulations, network analysis, AI, and other computational approaches to fundamentally improve all aspects of leadership. With interviews from leaders of IBM, JPMorgan Chase, and Microsoft, this book sits at the intersection of cutting-edge science and technology, leadership research, and decades of the author's own first-person knowledge of leadership best practices. The author offers readers a holistic and practical framework for utilizing advancements in leadership technology. He also provides: Concrete strategies for improving interpersonal relationships and morale in remote working arrangements Evidence-based techniques for increasing diversity, equity, and inclusion in hiring and promotion Ways to mitigate the fragility of "just-in-time" supply chains and harness the effectiveness of nascent blockchain and digital twin resources An essential guide for managers, executives, board members, and other business leaders looking for an alternative to leadership strategies based largely on intuition and personal experience, Computational Leadership will earn a place in the libraries of anyone ready to apply modern technologies to the age-old art and science of leadership.
ISBN: 9781119984061Publication Date: 2023-05-02
Data Science Applied to Sustainability Analysis by
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery Includes considerations sustainability analysts must evaluate when applying big data Features case studies illustrating the application of data science in sustainability analyses
ISBN: 9780128179772Publication Date: 2021-05-11
Machine Learning for Business Analytics by
MACHINE LEARNING FOR BUSINESS ANALYTICS An up-to-date introduction to a market-leading platform for data analysis and machine learning Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro®, 2nd ed. offers an accessible and engaging introduction to machine learning. It provides concrete examples and case studies to educate new users and deepen existing users' understanding of their data and their business. Fully updated to incorporate new topics and instructional material, this remains the only comprehensive introduction to this crucial set of analytical tools specifically tailored to the needs of businesses. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro®, 2nd ed. readers will also find: Updated material which improves the book's usefulness as a reference for professionals beyond the classroom Four new chapters, covering topics including Text Mining and Responsible Data Science An updated companion website with data sets and other instructor resources: www.jmp.com/dataminingbook A guide to JMP Pro®'s new features and enhanced functionality Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro®, 2nd ed. is ideal for students and instructors of business analytics and data mining classes, as well as data science practitioners and professionals in data-driven industries.
ISBN: 9781119903857Publication Date: 2023-05-02
DATA CURIOUS: Applying agile analytics for better business decisions by
With this book, author Carl Allchin shows today's business professionals how to become data empowered. These tech-savvy business professionals will learn data literacy fundamentals--from understanding the possibilities to asking the right questions. You'll discover how to make the right technology choices and avoid pitfalls that could put your career and company at risk. Discover what an agile, empowered, data-driven organization should look like Examine how to use data in new ways to help your business come to life Learn key terms and concepts around data management and analytics Understand the differences between spreadsheet analysis and a data analytics pipeline Get advice for working with data scientists and explore ways to mitigate the IT department's concerns.
ISBN: 9781098143794Publication Date: 2023
Handbook of Graphs and Networks in People Analytics by
Handbook of Graphs and Networks in People Analytics: With Examples in R and Python covers the theory and practical implementation of graph methods in R and Python for the analysis of people and organizational networks. Starting with an overview of the origins of graph theory and its current applications in the social sciences, the book proceeds to give in-depth technical instruction on how to construct and store graphs from data, how to visualize those graphs compellingly and how to convert common data structures into graph-friendly form. The book explores critical elements of network analysis in detail, including the measurement of distance and centrality, the detection of communities and cliques, and the analysis of assortativity and similarity. An extension chapter offers an introduction to graph database technologies. Real data sets from various research contexts are used for both instruction and for end of chapter practice exercises and a final chapter contains data sets and exercises ideal for larger personal or group projects of varying difficulty level. Key features: Immediately implementable code, with extensive and varied illustrations of graph variants and layouts Examples and exercises across a variety of real-life contexts including business, politics, education, social media and crime investigation Dedicated chapter on graph visualization methods Practical walkthroughs of common methodological uses: finding influential actors in groups, discovering hidden community structures, facilitating diverse interaction in organizations, detecting political alignment, determining what influences connection and attachment Various downloadable data sets for use both in class and individual learning projects Final chapter dedicated to individual or group project examples
ISBN: 9781003266815Publication Date: 2022-06-19
Advancement in Business Analytics Tools for Higher Financial Performance by
The relentless growth of data in financial markets has boosted the demand for more advanced analytical tools to facilitate and improve financial planning. The ability to constructively use this data is limited for managers and investors without the proper theoretical support. Within this context, there is an unmet demand for combining analytical finance methods with business analytics topics to inform better investment decisions. Advancement in Business Analytics Tools for Higher Financial Performance explores the financial applications of business analytics tools that can help financial managers and investors to better understand financial theory and improve institutional investment practices. This book explores the value extraction process using more accurate financial data via business analytical tools to help investors and portfolio managers develop more modern financial planning processes. Covering topics such as financial markets, investment analysis, and statistical tools, this book is ideal for accountants, data analysts, researchers, students, business professionals, academicians, and more.
ISBN: 9781668483893Publication Date: 2023-08-08
HR Analytics in an Era of Rapid Automation by
Human Resources (HR) departments often have significant data sets related to employees and positions within their organizations, but optimizing use of this data can present challenges. As the business world rapidly transforms due to technological advancements, experts within the HR domain must learn to effectively use data to improve workforce performance and assist with strategic decisions. A comprehensive understanding of HR analytics and its multiple levels, ranging from descriptive to perspective, can emphasize how the data can support, track, and monitor employee performance, culture, turnover rate, and absenteeism. HR Analytics in an Era of Rapid Automation is a valuable guide for academics, researchers, and practitioners interested in the latest developments in HR analytics. It covers relevant theories and conceptual models based on quantitative and qualitative findings and emphasizes the importance of utilizing HR analytics for sustainable decision making. With a focus on recruitment analytics, talent acquisition, employee performance analytics, and more, this book provides practical solutions to the challenges facing HR professionals in the rapidly changing business world. By highlighting the value of people and HR analytics for business success, this book offers several solutions for the analysis of challenges facing HR professionals today.
ISBN: 9781668489444Publication Date: 2023-08-01
Rewired: The McKinsey guide to outcompeting in the age of digital and AI by
Many companies are stuck with digital transformations that are not moving the needle. There are no quick fixes but there is a playbook. The answer is in rewiring your business so hundreds, thousands, of teams can harness technology to continuously create great customer experiences, lower unit costs, and generate value. It's the capabilities of the organization that win the race.McKinsey Digital's top leaders Eric Lamarre, Kate Smaje, and Rodney W. Zemmel provide proven how-to details on what it takes in six comprehensive sections-creating the transformation roadmap, building a talent bench, adopting a new operating model, producing a distributed technology environment so teams can innovate, embedding data everywhere, and unlocking user adoption and enterprise scaling.Tested, iterated, reworked, and tested again over the years, McKinsey's digital and AI transformation playbook is captured in Rewired. It contains diagnostic assessments, operating model designs, technology and data architecture diagrams, how-to checklists, best practices and detailed implementation methods, all exemplified with demonstrated case studies and illustrated with 100+ exhibits.
ISBN: 9781663732132Publication Date: 2023-09-05
HBR's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and Avi Goldfarb) by
The next generation of AI is here-use it to lead your business forward.If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization. This book will inspire you to: create a new AI strategy, learn to work with intelligent robots, get more from your marketing AI, be ready for ethical and regulatory challenges, understand how generative AI is game changing, and stop tinkering with AI and go all in.This collection of articles includes "Competing in the Age of AI," by Marco Iansiti and Karim R. Lakhani; "How to Win with Machine Learning," by Ajay Agrawal, Joshua Gans, and Avi Goldfarb; "Developing a Digital Mindset," by Tsedal Neeley and Paul Leonardi; "Learning to Work with Intelligent Machines," by Matt Beane; "Getting AI to Scale," by Tim Fountaine, Brian McCarthy, and Tamim Saleh; "Why You Aren't Getting More from Your Marketing AI," by Eva Ascarza, Michael Ross, and Bruce G. S. Hardie; "The Pitfalls of Pricing Algorithms," by Marco Bertini and Oded Koenigsberg; "A Smarter Strategy for Using Robots," by Ben Armstrong and Julie Shah; and more.
ISBN: 9781663731791Publication Date: 2023-10-17
The New Automation Mindset by
**A WALL STREET JOURNAL AND USA TODAY BESTSELLER** Explore the true potential and impact of business automation Digital transformation of the business landscape is well underway, and businesses are being reshaped faster than ever before. Agility and adaptability are now critical components of these business' survival. But building these traits requires a holistic approach with an unrelenting focus on automation. How does one go about developing that focus? In The New Automation Mindset: The Leadership Blueprint for the Era of AI-for-All, renowned entrepreneur and tech strategists Vijay Tella, Scott Brinker, and Massimo Pezzini deliver a guide to implementing automation in the real world, avoiding jargon and vague bromides in favor of concrete examples of the successful integration of automated technologies and descriptions of the positive results they had on the companies that deployed them. In the book, you'll also find: Hands-on advice for C-suite executives, front-line managers, and everyday employees to implement effective automation frameworks Insightful explorations of the innovation and growth advantages of automation Deep treatments of how automation is about more than just RPA--or Robotic Process Automation--and efficiency An inspiring and practical presentation of one of the most essential topics in business today, The New Automation Mindset will earn a place on the bookshelves of founders, entrepreneurs, managers, shareholders, tech enthusiasts, knowledge workers, and anyone else with an interest in digital transformation and commerce.
ISBN: 9781119898764Publication Date: 2023-08-25
Strategy in the digital age : mastering digital transformation by
Covering major topics such as big tech, data analytics, artificial intelligence, blockchain, cryptocurrency, autonomy, cybersecurity, data privacy, and antitrust, strategy expert Michael Lenox outlines a set of novel, original frameworks to help those undertaking digital transformation at their organization devise their strategy.
ISBN: 9798350863710Publication Date: 2023
Leading in Analytics by
A step-by-step guide for business leaders who need to manage successful big data projects Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You'll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can't control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right. Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book. Ensure the success of analytics initiatives, maximize ROI, and draw value from big data Learn to define success and failure in analytics and big data projects Set your organization up for analytics success by identifying problems that have big data solutions Bring together the people, the tools, and the strategies that are right for the job By learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.
ISBN: 9781119800996Publication Date: 2023-10-31
Practical Salesforce Architecture by
Once renowned as a customer relationship management (CRM) tool, Salesforce has evolved into a cloud-first application and capability ecosystem. With dedicated components for tasks such as middleware, big data, reporting, ETL, data loading, and API orchestration, Salesforce has become more prevalent in modern architectures. This concise, yet comprehensive guide provides an overview of Salesforce architecture for enterprise architects and Salesforce ecosystem architects. Author Paul McCollum, Salesforce technical architect at Accenture, provides a roadmap for integrating major elements of the Salesforce ecosystem with planned or existing enterprise architecture. You'll learn how to use these components to address the diverse needs of different organizations. Many companies today are adding or building multicloud capabilities and incorporating various elements from the Salesforce ecosystem. With this book, you'll learn: Strengths, weaknesses, and growth areas of Salesforce's EA domain features How Salesforce compares to other cloud providers Methods for using the Salesforce ecosystem effectively to address your organization's needs How to integrate Salesforce with planned or existing enterprise architectures Ways to manage and forecast performance, complexity, and ease of operation across the Salesforce platform
ISBN: 9781098138288Publication Date: 2024-01-02
