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| business analytics and project management: The Business Analyst / Project Manager Robert K. Wysocki, 2010-08-20 A breakthrough game plan illustrating the need for better collaboration between Project Managers and Business Analysts In The Business Analyst/Project Manager, author Robert Wysocki draws on his forty-five years of professional experience as a PM/BA to shed light on the similarities and differences of the roles and responsibilities of these two positions, the need for greater collaboration, and how to staff a project with one or both of these professionals. Examines the boundaries and interactions between the BA and the PM Looks at how to identify the skill sets needed to make the project a success The typical relationship of the BA and PM across the project management life cycle Making the best configuration of leadership assignments based on project characteristics Where the responsibilities of the BA leave off and the PM's begins and where the two have collaborative responsibilities How to use a PM/BA to enhance project performance How to foster a dual career path for PM/BAs development The in-depth discussion of the synergies between the two roles and the advantages of a combined PM/BA makes The Business Analyst/Project Manager a valuable contribution in your ability to be successful on the complex projects of the 21st century. |
| business analytics and project management: Data Analytics in Project Management Seweryn Spalek, J. Davidson Frame, Yanping Chen, Carl Pritchard, Alfonso Bucero, Werner Meyer, Ryan Legard, Michael Bragen, Klas Skogmar, Deanne Larson, Bert Brijs, 2019-01-01 Data Analytics in Project Management. Data analytics plays a crucial role in business analytics. Without a rigid approach to analyzing data, there is no way to glean insights from it. Business analytics ensures the expected value of change while that change is implemented by projects in the business environment. Due to the significant increase in the number of projects and the amount of data associated with them, it is crucial to understand the areas in which data analytics can be applied in project management. This book addresses data analytics in relation to key areas, approaches, and methods in project management. It examines: • Risk management • The role of the project management office (PMO) • Planning and resource management • Project portfolio management • Earned value method (EVM) • Big Data • Software support • Data mining • Decision-making • Agile project management Data analytics in project management is of increasing importance and extremely challenging. There is rapid multiplication of data volumes, and, at the same time, the structure of the data is more complex. Digging through exabytes and zettabytes of data is a technological challenge in and of itself. How project management creates value through data analytics is crucial. Data Analytics in Project Management addresses the most common issues of applying data analytics in project management. The book supports theory with numerous examples and case studies and is a resource for academics and practitioners alike. It is a thought-provoking examination of data analytics applications that is valuable for projects today and those in the future. |
| business analytics and project management: Business Analysis, Requirements, and Project Management Karl Cox, 2021-10-26 IT projects emerge from a business need. In practice, software developers must accomplish two big things before an IT project can begin: find out what you need to do (i.e., analyse business requirements) and plan out how to do it (i.e., project management). The biggest problem in IT projects is delivering the wrong product because IT people do not understand what business people require. This practical textbook teaches computer science students how to manage and deliver IT projects by linking business and IT requirements with project management in an incremental and straightforward approach. Business Analysis, Requirements, and Project Management: A Guide for Computing Students presents an approach to analysis management that scales the business perspective. It takes a business process view of a business proposal as a model and explains how to structure a technical problem into a recognisable pattern with problem frames. It shows how to identify core transactions and model them as use cases to create a requirements table useful to designers and coders. Linked to the analysis are three management tools: the product breakdown structure (PBS), the Gantt chart, and the Kanban board. The PBS is derived in part from the problem frame. The Gantt chart emerges from the PBS and ensures the key requirements are addressed by reference to use cases. The Kanban board is especially useful in Task Driven Development, which the text covers. This textbook consists of two interleaving parts and features a single case study. Part one addresses the business and requirements perspective. The second integrates core project management approaches and explains how both requirements and management are connected. The remainder of the book is appendices, the first of which provides solutions to the exercises presented in each chapter. The second appendix puts together much of the documentation for the case study into one place. The case study presents a real-word business scenario to expose students to professional practice. |
| business analytics and project management: Data Analytics in Project Management Seweryn Spalek, 2018-10-25 This book aims to help the reader better understand the importance of data analysis in project management. Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on how to better utilize the data gathered from the projects. First and foremost, insight into the bridge between data analytics and project management aids practitioners looking for ways to maximize the practical value of data procured. The book equips organizations with the know-how necessary to adapt to a changing workplace dynamic through key lessons learned from past ventures. The book’s integrated approach to investigating both fields enhances the value of research findings. |
| business analytics and project management: The PMI Guide to Business Analysis , 2017-12-22 The Standard for Business Analysis – First Edition is a new PMI foundational standard, developed as a basis for business analysis for portfolio, program, and project management. This standard illustrates how project management processes and business analysis processes are complementary activities, where the primary focus of project management processes is the project and the primary focus of business analysis processes is the product. This is a process-based standard, aligned with A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, and to be used as a standard framework contributing to the business analysis body of knowledge. |
| business analytics and project management: Project Management Analytics Harjit Singh, 2015-11-12 To manage projects, you must not only control schedules and costs: you must also manage growing operational uncertainty. Today’s powerful analytics tools and methods can help you do all of this far more successfully. In Project Management Analytics, Harjit Singh shows how to bring greater evidence-based clarity and rationality to all your key decisions throughout the full project lifecycle. Singh identifies the components and characteristics of a good project decision and shows how to improve decisions by using predictive, prescriptive, statistical, and other methods. You’ll learn how to mitigate risks by identifying meaningful historical patterns and trends; optimize allocation and use of scarce resources within project constraints; automate data-driven decision-making processes based on huge data sets; and effectively handle multiple interrelated decision criteria. Singh also helps you integrate analytics into the project management methods you already use, combining today’s best analytical techniques with proven approaches such as PMI PMBOK® and Lean Six Sigma. Project managers can no longer rely on vague impressions or seat-of-the-pants intuition. Fortunately, you don’t have to. With Project Management Analytics, you can use facts, evidence, and knowledge—and get far better results. Achieve efficient, reliable, consistent, and fact-based project decision-making Systematically bring data and objective analysis to key project decisions Avoid “garbage in, garbage out” Properly collect, store, analyze, and interpret your project-related data Optimize multi-criteria decisions in large group environments Use the Analytic Hierarchy Process (AHP) to improve complex real-world decisions Streamline projects the way you streamline other business processes Leverage data-driven Lean Six Sigma to manage projects more effectively |
| business analytics and project management: Project Management Essentials Adedeji B. Badiru, 2021-03-01 This Focus book presents the basic principles and practice of project management and simple analytics for project control, using the systems framework of Design, Evaluation, Justification, and Integration (DEJI). The overriding theme of the book is that every pursuit can be organized as a project. This short form book presents the evolution of products in the classical era of introducing new projects needing project management. It discusses the development of project alliances, includes the role of project management in advancing organization goals, illustrates the early applications of project management, and includes humans in the loop. The book will also cover project systems and work design, while showing the integration of quantitative and qualitative analytics. This book can serve as a reference for everyone, since everyone is engaged in project management, whether formal or informal |
| business analytics and project management: Business Analysis for Practitioners Project Management Institute, 2015-01-01 Recent research has shown that organizations continue to experience project issues associated with the poor performance of requirements-related activities a core task for the practice of business analysis. In fact, poor requirements practices are often cited as a leading cause of project failure in PMI's Pulse of the Profession surveys. Business Analysis for Practitioners: A Practice Guide provides practical resources to tackle the project-related issues associated with requirements and business analysis and addresses a critical need in the industry for more guidance in this area. |
| business analytics and project management: Aligning Business Strategies and Analytics Murugan Anandarajan, Teresa D. Harrison, 2018-09-27 This book examines issues related to the alignment of business strategies and analytics. Vast amounts of data are being generated, collected, stored, processed, analyzed, distributed and used at an ever-increasing rate by organizations. Simultaneously, managers must rapidly and thoroughly understand the factors driving their business. Business Analytics is an interactive process of analyzing and exploring enterprise data to find valuable insights that can be exploited for competitive advantage. However, to gain this advantage, organizations need to create a sophisticated analytical climate within which strategic decisions are made. As a result, there is a growing awareness that alignment among business strategies, business structures, and analytics are critical to effectively develop and deploy techniques to enhance an organization’s decision-making capability. In the past, the relevance and usefulness of academic research in the area of alignment is often questioned by practitioners, but this book seeks to bridge this gap. Aligning Business Strategies and Analytics: Bridging Between Theory and Practice is comprised of twelve chapters, divided into three sections. The book begins by introducing business analytics and the current gap between academic training and the needs within the business community. Chapters 2 - 5 examines how the use of cognitive computing improves financial advice, how technology is accelerating the growth of the financial advising industry, explores the application of advanced analytics to various facets of the industry and provides the context for analytics in practice. Chapters 6 - 9 offers real-world examples of how project management professionals tackle big-data challenges, explores the application of agile methodologies, discusses the operational benefits that can be gained by implementing real-time, and a case study on human capital analytics. Chapters 10 - 11 reviews the opportunities and potential shortfall and highlights how new media marketing and analytics fostered new insights. Finally the book concludes with a look at how data and analytics are playing a revolutionary role in strategy development in the chemical industry. |
| business analytics and project management: The Data-Driven Project Manager Mario Vanhoucke, 2018-03-27 Discover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools. The book tells the story of Emily Reed and her colleagues who are in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven project management methodology as a decision support tool for all upcoming projects. He challenges Emily and her team to start a journey in exploring project data to fight against unexpected project obstacles. Data-driven project management is known in the academic literature as “dynamic scheduling” or “integrated project management and control.” It is a project management methodology to plan, monitor, and control projects in progress in order to deliver them on time and within budget to the client. Its main focus is on the integration of three crucial aspects, as follows: Baseline Scheduling: Plan the project activities to create a project timetable with time and budget restrictions. Determine start and finish times of each project activity within the activity network and resource constraints. Know the expected timing of the work to be done as well as an expected impact on the project’s time and budget objectives. Schedule Risk Analysis: Analyze the risk of the baseline schedule and its impact on the project’s time and budget. Use Monte Carlo simulations to assess the risk of the baseline schedule and to forecast the impact of time and budget deviations on the project objectives. Project Control: Measure and analyze the project’s performance data and take actions to bring the project on track. Monitor deviations from the expected project progress and control performance in order to facilitate the decision-making process in case corrective actions are needed to bring projects back on track. Both traditional Earned Value Management (EVM) and the novel Earned Schedule (ES) methods are used. What You'll Learn Implement a data-driven project management methodology (also known as dynamic scheduling) which allows project managers to plan, monitor, and control projects while delivering them on time and within budget Study different project management tools and techniques, such as PERT/CPM, schedule risk analysis (SRA), resource buffering, and earned value management (EVM) Understand the three aspects of dynamic scheduling: baseline scheduling, schedule risk analysis, and project control Who This Book Is For Project managers looking to learn data-driven project management (or dynamic scheduling) via a novel, demonstrating real-time simulations of how project managers can solve common project obstacles |
| business analytics and project management: Business Analytics with Management Science Models and Methods Arben Asllani, 2015 This book is about prescriptive analytics. It provides business practitioners and students with a selected set of management science and optimization techniques and discusses the fundamental concepts, methods, and models needed to understand and implement these techniques in the era of Big Data. A large number of management science models exist in the body of literature today. These models include optimization techniques or heuristics, static or dynamic programming, and deterministic or stochastic modeling. The topics selected in this book, mathematical programming and simulation modeling, are believed to be among the most popular management science tools, as they can be used to solve a majority of business optimization problems. Over the years, these techniques have become the weapon of choice for decision makers and practitioners when dealing with complex business systems. |
| business analytics and project management: Agile Analytics Ken Collier, 2012 Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile pioneer Ken Collier shows how to do just that. Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets and how to support enormous and fast-growing data volumes. Collier's techniques offer optimal value whether your projects involve back-end data management, front-end business analysis, or both. Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your Agile DW/BI project community can collaborate toward success Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right now--whether you're an IT decision-maker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results--and have fun along the way. |
| business analytics and project management: Information Systems Project Management David L. Olson, 2014-12-19 Information Systems Project Management addresses project management in the context of information systems. It deals with general project management principles, with focus on the special characteristics of information systems. It is based on an earlier text, but shortened to focus on essential project management elements.This updated version presents various statistics indicating endemic problems in completing information system projects on time, within budget, at designed functionality. While successful completion of an information systems project is a challenge, there are some things that can be done to improve the probability of project success. This book reviews a number of project management tools, including, developing organizational ability to work on projects, better systems analysis and design, project estimation, and project control and termination. |
| business analytics and project management: Business Analysis Steven P. Blais, 2011-11-08 The definitive guide on the roles and responsibilities of the business analyst Business Analysis offers a complete description of the process of business analysis in solving business problems. Filled with tips, tricks, techniques, and guerilla tactics to help execute the process in the face of sometimes overwhelming political or social obstacles, this guide is also filled with real world stories from the author's more than thirty years of experience working as a business analyst. Provides techniques and tips to execute the at-times tricky job of business analyst Written by an industry expert with over thirty years of experience Straightforward and insightful, Business Analysis is a valuable contribution to your ability to be successful in this role in today's business environment. |
| business analytics and project management: Data Analytics for Engineering and Construction Project Risk Management Ivan Damnjanovic, Kenneth Reinschmidt, 2019-05-23 This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve, and/or simplify corporate project management processes. The book places emphasis on building data-driven models for additive-incremental risks, where data can be collected on project sites, assembled from queries of corporate databases, and/or generated using procedures for eliciting experts’ judgments. While the presented models are mathematically inspired, they are nothing beyond what an engineering graduate is expected to know: some algebra, a little calculus, a little statistics, and, especially, undergraduate-level understanding of the probability theory. The book is organized in three parts and fourteen chapters. In Part I the authors provide the general introduction to risk and uncertainty analysis applied to engineering construction projects. The basic formulations and the methods for risk assessment used during project planning phase are discussed in Part II, while in Part III the authors present the methods for monitoring and (re)assessment of risks during project execution. |
| business analytics and project management: Business analyst: a profession and a mindset Yulia Kosarenko, 2019-05-12 What does it mean to be a business analyst? What would you do every day? How will you bring value to your clients? And most importantly, what makes a business analyst exceptional? This book will answer your questions about this challenging career choice through the prism of the business analyst mindset — a concept developed by the author, and its twelve principles demonstrated through many case study examples. Business analyst: a profession and a mindset is a structurally rich read with over 90 figures, tables and models. It offers you more than just techniques and methodologies. It encourages you to understand people and their behaviour as the key to solving business problems. |
| business analytics and project management: How to Start a Business Analyst Career Laura Brandenburg, 2015-01-02 You may be wondering if business analysis is the right career choice, debating if you have what it takes to be successful as a business analyst, or looking for tips to maximize your business analysis opportunities. With the average salary for a business analyst in the United States reaching above $90,000 per year, more talented, experienced professionals are pursuing business analysis careers than ever before. But the path is not clear cut. No degree will guarantee you will start in a business analyst role. What's more, few junior-level business analyst jobs exist. Yet every year professionals with experience in other occupations move directly into mid-level and even senior-level business analyst roles. My promise to you is that this book will help you find your best path forward into a business analyst career. More than that, you will know exactly what to do next to expand your business analysis opportunities. |
| business analytics and project management: Business Analytics for Managers Gert Laursen, Jesper Thorlund, 2010-07-13 While business analytics sounds like a complex subject, this book provides a clear and non-intimidating overview of the topic. Following its advice will ensure that your organization knows the analytics it needs to succeed, and uses them in the service of key strategies and business processes. You too can go beyond reporting!—Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College; coauthor, Analytics at Work: Smarter Decisions, Better Results Deliver the right decision support to the right people at the right time Filled with examples and forward-thinking guidance from renowned BA leaders Gert Laursen and Jesper Thorlund, Business Analytics for Managers offers powerful techniques for making increasingly advanced use of information in order to survive any market conditions. Take a look inside and find: Proven guidance on developing an information strategy Tips for supporting your company's ability to innovate in the future by using analytics Practical insights for planning and implementing BA How to use information as a strategic asset Why BA is the next stepping-stone for companies in the information age today Discussion on BA's ever-increasing role Improve your business's decision making. Align your business processes with your business's objectives. Drive your company into a prosperous future. Taking BA from buzzword to enormous value-maker, Business Analytics for Managers helps you do it all with workable solutions that will add tremendous value to your business. |
| business analytics and project management: Business Continuity Planning Ralph L. Kliem, Gregg D. Richie, 2015-08-21 If a major event such as a terrorist attack, 7.2 earthquake, tsunami, or hacker attack were to disrupt business operations, would your organization be prepared to respond to the financial, political, and social impacts? In order for your company to be resilient, it must be ready to respond and recover quickly from the impact of such events. Busines |
| business analytics and project management: Business Analysis For Dummies Kupe Kupersmith, Paul Mulvey, Kate McGoey, 2013-07-01 Your go-to guide on business analysis Business analysis refers to the set of tasks and activities that help companies determine their objectives for meeting certain opportunities or addressing challenges and then help them define solutions to meet those objectives. Those engaged in business analysis are charged with identifying the activities that enable the company to define the business problem or opportunity, define what the solutions looks like, and define how it should behave in the end. As a BA, you lay out the plans for the process ahead. Business Analysis For Dummies is the go to reference on how to make the complex topic of business analysis easy to understand. Whether you are new or have experience with business analysis, this book gives you the tools, techniques, tips and tricks to set your project’s expectations and on the path to success. Offers guidance on how to make an impact in your organization by performing business analysis Shows you the tools and techniques to be an effective business analysis professional Provides a number of examples on how to perform business analysis regardless of your role If you're interested in learning about the tools and techniques used by successful business analysis professionals, Business Analysis For Dummies has you covered. |
| business analytics and project management: Business Analysis Methodology Book Emrah Yayici, 2015-07-21 Resource added for the Business Analyst program 101021. |
| business analytics and project management: Data Analytics Initiatives Ondřej Bothe, Ondřej Kubera, David Bednář, Martin Potančok, Ota Novotný, 2022-04-20 The categorisation of analytical projects could help to simplify complexity reasonably and, at the same time, clarify the critical aspects of analytical initiatives. But how can this complex work be categorized? What makes it so complex? Data Analytics Initiatives: Managing Analytics for Success emphasizes that each analytics project is different. At the same time, analytics projects have many common aspects, and these features make them unique compared to other projects. Describing these commonalities helps to develop a conceptual understanding of analytical work. However, features specific to each initiative affects the entire analytics project lifecycle. Neglecting them by trying to use general approaches without tailoring them to each project can lead to failure. In addition to examining typical characteristics of the analytics project and how to categorise them, the book looks at specific types of projects, provides a high-level assessment of their characteristics from a risk perspective, and comments on the most common problems or challenges. The book also presents examples of questions that could be asked of relevant people to analyse an analytics project. These questions help to position properly the project and to find commonalities and general project challenges. |
| business analytics and project management: The Business Analysis Handbook Helen Winter, 2019-09-03 FINALIST: Business Book Awards 2020 - Specialist Book Category FINALIST: PMI UK National Project Awards 2019 - Project Management Literature Category The business analyst role can cover a wide range of responsibilities, including the elicitation and documenting of business requirements, upfront strategic work, design and implementation phases. Typical difficulties faced by analysts include stakeholders who disagree or don't know their requirements, handling estimates and project deadlines that conflict, and what to do if all the requirements are top priority. The Business Analysis Handbook offers practical solutions to these and other common problems which arise when uncovering requirements or conducting business analysis. Getting requirements right is difficult; this book offers guidance on delivering the right project results, avoiding extra cost and work, and increasing the benefits to the organization. The Business Analysis Handbook provides an understanding of the analyst role and the soft skills required, and outlines industry standard tools and techniques with guidelines on their use to suit the most appropriate situations. Covering numerous techniques such as Business Process Model and Notation (BPMN), use cases and user stories, this essential guide also includes standard templates to save time and ensure nothing important is missed. |
| business analytics and project management: Introduction to Business Analytics, Second Edition Majid Nabavi, David L. Olson, Wesley S. Boyce, 2020-12-14 This book presents key concepts related to quantitative analysis in business. It is targeted at business students (both undergraduate and graduate) taking an introductory core course. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. This second edition adds material on Tableau, a very useful software for business analytics. This supplements the tools from Excel covered in the first edition, to include Data Analysis Toolpak and SOLVER. |
| business analytics and project management: Agile Project Management with Kanban Eric Brechner, 2015 With Kanban, every minute you spend on a software project can add value for customers. One book can help you achieve this goal: Agile Project Management with Kanban. Author Eric Brechner pioneered Kanban within the Xbox engineering team at Microsoft. Now he shows you exactly how to make it work for your team. Think of this book as {28}Kanban in a box. |
| business analytics and project management: From Analyst to Leader Lori Lindbergh, Lori Lindbergh PMP, Richard VanderHorst, Kathleen B. Hass, Richard VanderHorst PMP, Kathleen B. Hass PMP, Kimi Ziemski, Kimi Ziemski PMP, 2007-12 Become equipped with the principles, knowledge, practices, and tools need to assume a leadership role in an organization. From Analyst to Leader: Elevating the Role of the Business Analyst uncovers the unique challenges for the business analyst to transition from a support role to a central leader serving as change agent, visionary, and credible leader. |
| business analytics and project management: 5 Keys to Business Analytics Program Success John Boyer, Bill Frank, Brian Green, Tracy Harris, Kay Van De Vanter, 2012-11-15 A roadmap to understanding and achieving excellence in business analytics initiatives With business analytics is becoming increasingly strategic to all types of organizations and with many companies struggling to create a meaningful impact with this emerging technology, this book based on the combined experience of 10 organizations that display excellence and expertise on the subject shares the best practices, discusses the management aspects and sociology that drives success, and uncovers the five key aspects behind the success of some of the top business analytics programs in the industry. Readers will learn about numerous topics, including how to create and manage a changing business analytics strategy; align business priorities to technological innovation; quantify and demonstrate tangible business value; implement program processes that balance agility, empowerment, and control; and architecting a business analytics technology solution with future innovation in mind.This is the ideal resource for any organization that wants to learn how a business analytics program can help manage value, employees, and technology to translate strategies into actionable insight and achievement. |
| business analytics and project management: Business Analytics for Sales and Marketing Managers Gert H. N. Laursen, 2011-03-16 Expert guidance on information management for optimum customer intelligence processes Providing essential guidance for information management, this book helps you understand the basics of information management, how to design and launch customer intelligence campaigns, and optimize existing customer intelligence processes. How to align information management with company strategy Examines how to get, grow, and retain valuable customers Discusses how to optimize existing customer intelligence processes Showing you how to make extensive use of data, statistical, and quantitative analysis, explanatory and predictive modeling, and fact-based management to drive decision making, Business Analytics for Customer Intelligence provides you with the tools your business needs to optimize you data driven processes. |
| business analytics and project management: Business Analysis and Leadership Penny Pullan, James Archer, 2013-09-03 21st century organizations, across all sectors and of all types, have to cope with an international marketplace where change is frequent and customer expectations continue to rise. The work of business analysis professionals is crucial if organizations are to succeed and grow. If change programmes are to be successful, stakeholder engagement and situation analysis are vital, and to achieve this, senior business people need to display competence in a range of areas, not least of which include the ability to challenge, lead and influence. Business Analysis and Leadership is for anyone involved in business analysis working in any organization worldwide, from financial services to charities, government to manufacturing. It takes the reader beyond standard textbooks full of techniques and tools, advising on how to lead and gain credibility throughout the organization. It will help you with the tricky role of working with people from the shop floor to board directors and give readers the confidence to challenge the easy way forward and point out what will really work in practice. This inspirational book consists of contributions from leading thinkers and practitioners in business analysis from around the world. Their case studies, practical advice and downloadable appendices will help the reader to develop leadership skills and become an outstanding catalyst for change. |
| business analytics and project management: Agile Data Warehousing Project Management Ralph Hughes, 2012-12-28 You have to make sense of enormous amounts of data, and while the notion of agile data warehousing might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in half. Bring this highly effective technique to your organization with the wisdom of agile data warehousing expert Ralph Hughes. Agile Data Warehousing Project Management will give you a thorough introduction to the method as you would practice it in the project room to build a serious data mart. Regardless of where you are today, this step-by-step implementation guide will prepare you to join or even lead a team in visualizing, building, and validating a single component to an enterprise data warehouse. - Provides a thorough grounding on the mechanics of Scrum as well as practical advice on keeping your team on track - Includes strategies for getting accurate and actionable requirements from a team's business partner - Revolutionary estimating techniques that make forecasting labor far more understandable and accurate - Demonstrates a blends of Agile methods to simplify team management and synchronize inputs across IT specialties - Enables you and your teams to start simple and progress steadily to world-class performance levels |
| business analytics and project management: Leveraging Business Analysis for Project Success Vicki James, 2018-10-22 Only 39 percent of projects today are successful. Nearly half of the projects that fail do so because of “poor requirements management” (PMI 2014). Leveraging Business Analysis for Project Success, Second Edition explores the role of the business analyst in setting a project up for success. It informs and educates project managers, sponsors, and organization leaders on what is necessary for project success. This book goes beyond requirements management in exploring how business analysis professionals (business analysts, product managers, product owners, and others) can contribute to increased profitability through project selection, scope definition, and postimplementation evaluation. The reader will learn about the history of business analysis, professional organizations and resources to support the profession, and what to expect from the business analysis professional at each phase of the project lifecycle as presented in a case study throughout the book. Project leaders will better be able to support the business analysis needs of the project by understanding the skills, expertise, tasks, resources, and time needed to do business analysis right and maximize the return on investment for each project. |
| business analytics and project management: Project Management for Banks Dan Bonner, 2021-09-14 Project management processes have been intertwined within every fabric of human evolution including advances in communication, farming, construction, medicine, law, architecture, physics, and economics to name a few. At each evolutionary stage, there was a project manager who was studying the how and why of everything, trying new techniques, and documenting trials, errors and successes until a specific craft was mastered, thrusting progress forward in an upward trajectory that has been carved into human history. There are countless books and articles that focus on the practice of project management. What makes this book different is the focus placed largely on the project management processes for United States (U.S) bankers. This book starts with a look at the historical progression of project management processes but quickly focuses the material on project management processes for bankers, heavily leaning towards project managers in United States (U.S.) banks. The book also looks at the bank regulatory agencies that govern U.S. banks, regulations critical to the U.S banking system, and concludes with an overview of U.S. banking technologies and the management of a U.S. banking customer call center. The book provides a comprehensive perspective on the U.S. banking project management processes, the regulatory agencies that govern and influence those processes, how technology, and more specifically, the development and use of artificial intelligence, will create a shift in the evolutionary trajectory of U.S. banking practices, and how U.S. banking project management practices will be at the core of how quickly and how successfully this evolution unfolds. |
| business analytics and project management: Project Management for Archaeology Rodrigo Vilanova, Timothy J. Kloppenborg, Kathryn N. Wells, 2017-09-14 Archaeology, the science in charge of studying ancient cultures, is without a doubt one of the most alluring professions in today's academic world. It is a versatile and complex discipline requiring a lot of skill expertise from both students and specialists, including the efficient management of team of coworkers, logistics, resources, etc. Project Management for Archaeology is a first approach to students and inexperienced archaeologists striving to better organize, lead, and execute an archaeological project. It also offers great insight and strategies to experienced and Òold-schoolÓ researchers in order to improve efficiency, leadership, and organizational skills, following the most effective management techniques in the market. Presented with a flexible approach that accommodates all types of archaeological research (from academic to rescue and salvage projects), Project Management for Archaeology is meant to be a practical handbook to be used all along the lifetime of any archaeological project. |
| business analytics and project management: Effective Project Management Robert K. Wysocki, 2011-09-26 Expert guidance on ensuring project success—the latest edition! Many projects fail to deliver on time and within budget, and often-poor project management is to blame. If you're a project manager, the newest edition of this expert and top-selling book will help you avoid the pitfalls and manage projects successfully. Covering the major project management techniques including Traditional (Linear and Incremental), Agile (Iterative and Adaptive), and Extreme, this book lays out a comprehensive overview of all of the best-of-breed project management approaches and tools today. You'll learn how to use these approaches effectively to achieve better outcomes. Fresh topics in this new edition include critical chain project management, using the Requirements Management Lifecycle as a key driver, career and professional development for project managers, and more. This book is packed with step-by-step instruction and practical case studies, and a companion web site offers additional exercises and solutions. Gives new or veteran project managers a comprehensive overview of the best-of-breed project management approaches and tools today Shows readers, through step-by-step instruction and practical case studies, how to use these tools effectively Updated new edition adds new material on career and professional development for project managers, critical chain project management, and more If you're seeking to improve your professional project management skills, the latest edition of this popular, successful, and in-depth book is the place to start. Visit http://wysockiepm.com/ for support materials and to connect with the author. |
| business analytics and project management: Managing Change in Organizations Project Management Institute, 2013-08-01 Managing Change in Organizations: A Practice Guide is unique in that it integrates two traditionally disparate world views on managing change: organizational development/human resources and portfolio/program/project management. By bringing these together, professionals from both worlds can use project management approaches to effectively create and manage change. This practice guide begins by providing the reader with a framework for creating organizational agility and judging change readiness. |
| business analytics and project management: An Introduction to Business Analytics Ger Koole, 2019 Business Analytics (BA) is about turning data into decisions. This book covers the full range of BA topics, including statistics, machine learning and optimization, in a way that makes them accessible to a broader audience. Decision makers will gain enough insight into the subject to have meaningful discussions with machine learning specialists, and those starting out as data scientists will benefit from an overview of the field and take their first steps as business analytics specialist. Through this book and the various exercises included, you will be equipped with an understanding of BA, while learning R, a popular tool for statistics and machine learning. |
| business analytics and project management: A Business Analyst's Introduction to Business Analytics Adam Fleischhacker, 2020-07-20 This up-to-date business analytics textbook (published in July 2020) will get you harnessing the power of the R programming language to: manipulate and model data, discover and communicate insight, to visually communicate that insight, and successfully advocate for change within an organization. Book Description A frequent teaching-award winning professor with an analytics-industry background shares his hands-on guide to learning business analytics. It is the first textbook addressing a complete and modern business analytics workflow that includes data manipulation, data visualization, modelling business problems with graphical models, translating graphical models into code, and presenting insights back to stakeholders. Book Highlights Content that is accessible to anyone, even most analytics beginners. If you have taken a stats course, you are good to go. Assumes no knowledge of the R programming language. Provides introduction to R, RStudio, and the Tidyverse. Provides a solid foundation and an implementable workflow for anyone wading into the Bayesian inference waters. Provides a complete workflow within the R-ecosystem; there is no need to learn several programming languages or work through clunky interfaces between software tools. First book introducing two powerful R-packages - `causact` for visual modelling of business problems and `greta` which is an R interface to `TensorFlow` used for Bayesian inference. Uses the intuitive coding practices of the `tidyverse` including using `dplyr` for data manipulation and `ggplot2` for data visualization. Datasets that are freely and easily accessible. Code for generating all results and almost every visualization used in the textbook. Do not learn statistical computation or fancy math in a vacuum, learn it through this guide within the context of solving business problems. |
| business analytics and project management: The Oxford Handbook of Project Management Peter W. G. Morris, Jeffrey K. Pinto, Jonas Söderlund, 2012-07-19 The Oxford Handbook of Project Management presents and discusses leading ideas in the management of projects. Positioning project management as a domain much broader and more strategic than simply 'execution management', this Handbook draws on the insights of over 40 scholars to chart the development of the subject over the last 50 years or more as an area of increasing practical and academic interest. It suggests we could be entering an emerging 'third wave' of analysis and interpretation following its early technical and operational beginnings and the subsequent shift to a focus on projects and their management. Topics dealt with include: the historical evolution of the subject; its theoretical base; professionalism; business and societal context; strategy; organization; governance; innovation; overruns; risk; information management; procurement; relationships and trust; knowledge management; practice and teams. This handbook is of particular relevance to those interested in the research issues underlying project management. |
| business analytics and project management: Project Management Essentials, Second Edition Kathryn N. Wells, Timothy J. Kloppenborg, 2018-10-22 Project management is a critical skill across a broad range of disciplines. Yet most people, regardless of educational background, have never received training in how to plan, manage, and execute projects. Project Management Essentials, Second Edition, is the go-to book for tried and true project management skills combined with the most current ideas from Agile in a concise, up-to-date, user-friendly format. It follows the project life cycle and provides several ready-to-use templates. Readers can use this book to plan and manage a project from start to finish or as a reference for help with one particular component of project management. Alongside each template is a brief description of what each template is and why it is useful, with an example to illustrate it. |
| business analytics and project management: Project Management, Planning and Control Albert Lester, 2007 This fifth edition provides a comprehensive resource for project managers. It describes the latest project management systems that use critical path methods. |
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….
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….
