The objective of this symposium is to promote and develop high-quality research on all issues related to systems analysis and design (SAND). It provides a forum for SAND researchers and practitioners in Europe and beyond to interact, collaborate, and develop their field. The 7 papers were carefully reviewed and selected with an acceptance rate of 40% cover topics in information systems evaluation and education, and they reflect current trends in systems analysis and design.
The objective of the EuroSymposium on Systems Analysis and Design is to promote and develop high quality research on all issues related to analysis and design (SAND).
It provides a forum for SAND researchers and practitioners in Europe and beyond to interact, collaborate, and develop their field. The 10 papers presented in this volume were carefully reviewed and selected from 45 submissions.They are organized in topical sections on data analytics, Web-based information systems, and information systems development.
Restructuring, divesting, improving performance, and merging are among the usual transformation activities that enterprises conduct to provide answers to the challenging demands put on them. To foster the much-needed debate between researchers and practitioners on these topics, the number of papers accepted for PRET is kept low, providing the authors and the audience with ample time to engage in discussions about both the practical implications of results and the theoretical underpinnings of phenomena observed in industrial practice. This year, five papers were selected after careful review, and each paper is between 20 and 25 pages long, to allow for the presentation of details.
The topics covered include enterprise architecture, business and IT alignment, and business process management and evaluation.
The company's new IT initiative, code named Phoenix Project, is critical to the future of Parts Unlimited, but the project is massively over budget and very late. The CEO wants Bill to report directly to him and fix the mess in ninety days or else Bill's entire department will be outsourced.
With the help of a prospective board member and his mysterious philosophy of The Three Ways, Bill starts to see that IT work has more in common with manufacturing plant work than he ever imagined. With the clock ticking, Bill must organize work flow, streamline interdepartmental communications, and effectively serve the other business functions at Parts Unlimited.
In a fast-paced and entertaining style, three luminaries of the DevOps movement deliver a story that anyone who works in IT will recognize. Readers will not only learn how to improve their own IT organizations, they'll never view IT the same way again.
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates
Companion website: https://sites.google.com/view/real-options
What You’ll LearnInstall SharePoint Server 2016, both using the user interface provided by Microsoft, and by using PowerShell
Understand your authentication options and associated security considerations
Deploy add-ins, either from the store, or from your own custom app catalog
Configure Search Service Application using either the provided UI or PowerShell
Configure business intelligence components such as Excel Services, SQL Server Reporting Services, and PowerPivot
Migrate to SharePoint Server 2016 from either SharePoint Server 2010 or 2013Understand approaches to high availability, disaster recovery, patching, and ways to monitor and maintain your SharePoint 2016 deployment once it’s up and running
Who This Book Is For
Anyone tasked with installing, configuring, and maintaining SharePoint Server 2016 in their organization. This book assumes some working knowledge of a previous release of SharePoint Server, such as SharePoint 2010 or SharePoint 2013
Taking an integrative view that promotes teamwork across corporate functions and responsibilities, the book contains dozens of charts, diagrams, and actual Excel® screenshots to reinforce the practical applications of every topic it covers. The first two sections— Financial Statements and Cash Budgeting— explain how to use spreadsheets for:Preparing income statements, balance sheets, and cash flow statements Performing vertical and horizontal analyses of financial statements Determining financial ratios and analyzing their trends and significance Combining quantitative and judgmental techniques to improve forecasts of sales revenues and customer demands Calculating and applying the time value of money Managing inventories, safety stocks, and the allocation of resources
The third and final section—Capital Budgeting— covers capital structure, the cost of capital, and leverage; the basics of capital budgeting, including taxes and depreciation; applications, such as new facilities, equipment replacement, process improvement, leasing versus buying, and nonresidential real estate; and risk analysis of capital budgets and the potential impacts of unforeseen events.
Corporate Financial Analysis with Microsoft® Excel® takes a broad view of financial functions and responsibilities in relation to those of other functional parts of modern corporations, and it demonstrates how to use spreadsheets to integrate and coordinate them. It provides many insightful examples and case studies of real corporations, including Wal- Mart, Sun Microsystems, Nike, H. J. Heinz, Dell, Microsoft, Apple Computer, and IBM.
Corporate Financial Analysis with Microsoft® Excel® is the ideal tool for managing your firm’s short-term operations and long-term capital investments.
Commercializing technology has never been easy, and it's getting tougher all the time. All the decisions you need to make are complicated by today's breakneck rates of change in enabling technology and by competitive pressures disseminated globally at the speed of the internet: Where to get ideas? Which to pursue? Whom to hire? Where to manufacture? How to fund? Create a startup or license to another? To answer these questions adequately and bring sophisticated products and services successfully to market, you need to deploy the systematic methods detailed in this book.
Jerry Schaufeld--serial technology entrepreneur, angel investor, and distinguished professor of entrepreneurship--presents in detail his proven step-by-step commercialization process, beginning with technology assessment and culminating with the successful launch of viable products into the global market. Using case studies, models, and practical tips culled from his entrepreneurial career, he shows readers of Commercializing Innovation how toSource technology that can be turned into products
Recognize an opportunity to create a viable product
Perform feasibility analyses before sinking too much money into a project
Find the right method and means to introduce the product to market
Plan the project down to the last detail
Execute the project in ways that improve chances of its success
Comply with government regulation without crippling your project
Decide whether offshore manufacturing is your best option
Compete globally with globally sourced ideas and funding
Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.
By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.
Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?
Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.
The perspective of the book is from the top down: looking at the overall architecture and then delving into the issues underlying the components. This allows people who are building or using a data warehouse to see what lies ahead and determine what new technology to buy, how to plan extensions to the data warehouse, what can be salvaged from the current system, and how to justify the expense at the most practical level. This book gives experienced data warehouse professionals everything they need in order to implement the new generation DW 2.0.
It is designed for professionals in the IT organization, including data architects, DBAs, systems design and development professionals, as well as data warehouse and knowledge management professionals.* First book on the new generation of data warehouse architecture, DW 2.0.
* Written by the "father of the data warehouse", Bill Inmon, a columnist and newsletter editor of The Bill Inmon Channel on the Business Intelligence Network.
* Long overdue comprehensive coverage of the implementation of technology and tools that enable the new generation of the DW: metadata, temporal data, ETL, unstructured data, and data quality control.
Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak?
The key to answering these questions, and many more, is big data. “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.
In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.
The Failure of Risk Management takes a close lookat misused and misapplied basic analysis methods and shows how someof the most popular "risk management" methods are no better thanastrology! Using examples from the 2008 credit crisis, naturaldisasters, outsourcing to China, engineering disasters, and more,Hubbard reveals critical flaws in risk management methods–andshows how all of these problems can be fixed. The solutions involvecombinations of scientifically proven and frequently used methodsfrom nuclear power, exploratory oil, and other areas of businessand government. Finally, Hubbard explains how new forms ofcollaboration across all industries and government can improve riskmanagement in every field.
Douglas W. Hubbard (Glen Ellyn, IL) is the inventor ofApplied Information Economics (AIE) and the author of Wiley'sHow to Measure Anything: Finding the Value of Intangibles inBusiness (978-0-470-11012-6), the #1 bestseller in businessmath on Amazon. He has applied innovative risk assessment and riskmanagement methods in government and corporations since 1994.
"Doug Hubbard, a recognized expert among experts in the field ofrisk management, covers the entire spectrum of risk management inthis invaluable guide. There are specific value-added take aways ineach chapter that are sure to enrich all readers including IT,business management, students, and academics alike"
—Peter Julian, former chief-information officer of theNew York Metro Transit Authority. President of Alliance Groupconsulting
"In his trademark style, Doug asks the tough questions on riskmanagement. A must-read not only for analysts, but also for theexecutive who is making critical business decisions."
—Jim Franklin, VP Enterprise Performance Managementand General Manager, Crystal Ball Global Business Unit, OracleCorporation.
More than ever, the effective management of technology is critical for business competitiveness. For decades, technology leaders have struggled to balance agility, reliability, and security. The consequences of failure have never been greater―whether it's the healthcare.gov debacle, cardholder data breaches, or missing the boat with Big Data in the cloud.
And yet, high performers using DevOps principles, such as Google, Amazon, Facebook, Etsy, and Netflix, are routinely and reliably deploying code into production hundreds, or even thousands, of times per day.
Following in the footsteps of The Phoenix Project, The DevOps Handbook shows leaders how to replicate these incredible outcomes, by showing how to integrate Product Management, Development, QA, IT Operations, and Information Security to elevate your company and win in the marketplace.
Take the DORA DevOps X-ray Assessment and see where you stand! Visit devops-survey.com with your access code to take the DevOps X-ray Assessment.
Whether you're an aspiring manager, a current manager, or just wondering what the heck a manager does all day, there is a story in this book that will speak to you—and help you survive and prosper amid the general craziness of dysfunctional bright people caught up in the chase of riches and power. Scattered in repose among these manic misfits are managers, an even stranger breed of people who, through a mystical organizational ritual, have been given power over the futures and the bank accounts of many others.
Lopp's straight-from-the-hip style is unlike that of any other writer on management and leadership. He pulls no punches and tells stories he probably shouldn't. But they are magically instructive and yield Lopp’s trenchant insights on leadership that cut to the heart of the matter—whether it's dealing with your boss, handling a slacker, hiring top guns, or seeing a knotty project through to completion.
Writing code is easy. Managing humans is not. You need a book to help you do it, and this is it.What You'll Learn
Manage your boss
Discover how to say no
Understand different engineering personalities
Build effective teamsRun a meeting wellScale teams“/div>divWho This Book Is Fordiv
Managers and would-be managers staring at the role of a manager wondering why they would ever leave the safe world of bits and bytes for the messy world of managing humans. The book covers handling conflict, managing wildly differing personality types, infusing innovation into insane product schedules, and figuring out how to build a lasting and useful engineering culture.
In addition to all the information needed to pass the exam, you will also find tips to give insight into how to read and answer questions, and each chapter includes exercises and a multiple-choice quiz to test your understanding of the topics covered. A glossary of key terms is also provided, along with study aids such as mind maps.
The author, Sean Whitaker, has managed complex projects in the construction, telecommunications, and IT industries, and shares real-world examples of theory in action from his own career.
What you'll learn:Handle integration, scope, time, cost, and quality managementManage risk, procurement, and stakeholder riskWork with human resources, communications, and handle ethics and professional conductBecome eligible for the PMP exam and how to study for itDiscover some PMP exam taking tipsHandle various PMP exam tasks and puzzle games
Who is this book for:
Experienced project managers looking to capstone their learning with the PMP certification.
The new edition includes the most recent research in the area of incomplete markets and unhedgeable risks, adds a chapter on finite difference methods, and thoroughly updates all bibliographic references. Eighty figures, over seventy examples, twenty-five simple ready-to-run computer programs, and several spreadsheets enhance the learning experience. All computer codes have been rewritten using MATLAB and online supplementary materials have been completely updated.
A standard textbook for graduate finance courses
Introduction to asset pricing, portfolio selection, risk measurement, and investment evaluation
Detailed examples and MATLAB codes integrated throughout the text
Exercises and summaries of main points conclude each chapter
This book is recommended for IT professionals, including those in consulting, working on systems that will deliver better knowledge management capability. This includes people in these positions: data architects, data analysts, SOA architects, metadata analysts, repository (metadata data warehouse) managers as well as vendors that have a metadata component as part of their systems or tools.First book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and managementWritten by Bill Inmon, one of the fathers of the data warehouse and well-known author, and filled with war stories, examples, and cases from current projectsVery practical, includes a complete metadata acquisition methodology and project plan to guide readers every step of the wayIncludes sample unstructured metadata for use in self-testing and developing skills
Building an Enterprise Architecture Practice provides practical advice on how to develop your enterprise architecture practice. The authors developed different tools and models to support organizations in implementing and professionalizing an enterprise architecture function. The application of these tools and models in many different organizations forms the basis for this book. The result is a hands-on book that will help you to avoid certain pitfalls and achieve success with enterprise architecture.
A lot of organizations nowadays have a team of enterprise architects at work but struggle with questions like:
• How do I show the added value of enterprise architecture?
• How do I determine what specific architectures are necessary for my organization?
• What steps do I need to take to improve my enterprise architecture practice?
• How do I fulfill the role of enterprise architect?
These questions are answered in this book and illustrated with a lot of best practices.
After reading the book the reader will have a better understanding of what makes enterprise architecture successful and will possess the tools to analyse his own situation and build an enterprise architecture practice accordingly.
This book clearly describes how to establish an architecture practice that delivers value for an organization. The authors demonstrate a wealth of experience and a deep understanding of the multifaceted nature of this challenging task and they provide sound advice on how to avoid the many pitfalls that may be encountered along the way.
Recognising that there is no 'one-size-fits-all' approach, they show how to deploy a range of practical tools and approaches that will enable each organization to create its own road map to success. In particular, their Maturity Matrix is invaluable for balancing architecture priorities and targeting improvements. The book makes a significant contribution to the professionalization of the architect role.
Sally Bean, Enterprise Architecture Consultant
Too many books on enterprise architecture leave one in a state of mental fuzziness: After reading them, the reader has learned a lot of impressive words but still does not know how to design an enterprise architecture. This step by step guide to DYA is different.
It provides pragmatic guidelines for developing enterprise architecture and presents a maturity model that helps the users of DYA to state realistic goals and to outline feasible steps to achieve these goals. Particularly useful is the emphasis on a coherent enterprise architecture vision, including the value added by the architecture. I warmly recommend this book to practicing enterprise architects.
Prof. Dr. Roel Wieringa, Universiteit Twente
Cyber security is not just a technical subject that can be resolved like any other IT-related problem—it is a ‘risk’ that can be mitigated by creating awareness and getting the right combination of technology and practices based on careful analysis. This book combines insights on cybersecurity from academic research, media reports, vendor reports, practical consultation and research experience.
The first section of the book discusses motivation and types of cybercrimes that can take place. The second lists the major types of threats that users might encounter. The third discusses the impact, trend and role of the government in combating cybercrime. The fourth section of the book tells the readers about ways to protect themselves and secure their data/information stored in computers and the cyberspace. It concludes by offering suggestions for building a secure cyber environment.
For easy reading, a comprehensive list of hundreds of topics each with a graphic image and explanatory text act as a useful exam revision reminder or reference tool for professionals.
The accompanying software which brings all these images to life can be downloaded at no extra charge thereby providing an additional computer based interactive learning resource as an easy and enjoyable way to study.
A combined eBook and software package at a tiny fraction of the previously published price.
Unlock accompanying software with your eBook receipt!
The increased interest in dynamic pricing models stems from their applicability to practical situations: with the freeing of exchange, interest rates, and capital controls, the market for derivative products has matured and pricing models have become more accurate. This updated edition has six new chapters and chapter-concluding exercises, plus one thoroughly expanded chapter. The text answers the need for a resource targeting professionals, Ph.D. students, and advanced MBA students who are specifically interested in financial derivatives.
This edition is also designed to become the main text in first year masters and Ph.D. programs for certain courses, and will continue to be an important manual for market professionals and professionals with mathematical, technical, or physics backgrounds.
Windows Group Policy Troubleshooting is your best-practice guide to Group Policy, showing you all that it can achieve, and how to repair problems when they occur.
What You'll LearnUnderstand how Group Policy works
Take a simple step-by-step approach to troubleshooting problems
Apply Group Policy in Office applications
Absorb advanced Group Policy advice
See expert tips and tricks related to Group Policy
Who This Book Is For
IT pros and system administrators are the audience for this book.
What You'll Learn
See Q&As to over 400 realistic practice questions and answers
Discover all the formulas needed to pass the exam
Use the first part to simulate testingUse the second part as a study guide to understand why an answer is correct or not
Who This Book Is For
divThose with project management experience and some IT experience who are ready to study for and take the PMP exam.
Mullins presents realistic, thorough, and up-to-date coverage of every DBA task, including creating database environments, data modeling, normalization, design, performance, data integrity, compliance, governance, security, backup/recovery, disaster planning, data and storage management, data movement/distribution, data warehousing, connectivity, metadata, tools, and more.
This edition adds new coverage of “Big Data,” database appliances, cloud computing, and NoSQL. Mullins includes an entirely new chapter on the DBA’s role in regulatory compliance, with substantial new material on data breaches, auditing, encryption, retention, and metadata management. You’ll also find an all-new glossary, plus up-to-the-minute DBA rules of thumb.
This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.
Jim Whitehurst, CEO of Red Hat, one of the world’s most revolutionary companies, shows how open principles of management—based on transparency, participation, and community—reinvent the organization for the fast-paced connected era. Whitehurst gives readers an insider’s look into how an open and innovative organizational model works. He shows how to leverage it to build community, respond quickly to opportunities, harness resources and talent both inside and outside the organization, and inspire, motivate, and empower people at all levels to act with accountability.
The Open Organization is a must-read for leaders struggling to adapt their management practices to the values of the digital and social age. Brimming with Whitehurst’s personal stories and candid advice for leading an open organization, as well as with instructive examples from employees and managers at Red Hat and companies such as Google, The Body Shop, and Whole Foods, this book provides the blueprint for reinventing your organization.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse scikit-learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural netsApply practical code examples without acquiring excessive machine learning theory or algorithm details
SQLite is a small, embeddable, SQL-based, relational database management system. It has been widely used in low- to medium-tier database applications, especially in embedded devices. This book provides a comprehensive description of SQLite database system. It describes design principles, engineering trade-offs, implementation issues, and operations of SQLite.
Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments.
Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA.
Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage.
How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration
Compare distributed apps (dapps) to web apps
Write Ethereum smart contracts in Solidity
Deploy your own dapp, coin, and blockchain
Work with basic and intermediate smart contracts
Who This Book Is For
Experts will find the advanced sample projects in this book rewarding because of the power of Solidity
Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. The vital raw material of today's information economy is data.
In Data-ism, New York Times reporter Steve Lohr explains how big-data technology is ushering in a revolution in proportions that promise to be the basis of the next wave of efficiency and innovation across the economy. But more is at work here than technology. Big data is also the vehicle for a point of view, or philosophy, about how decisions will be—and perhaps should be—made in the future. Lohr investigates the benefits of data while also examining its dark side.
Data-ism is about this next phase, in which vast Internet-scale data sets are used for discovery and prediction in virtually every field. It shows how this new revolution will change decision making—by relying more on data and analysis, and less on intuition and experience—and transform the nature of leadership and management. Focusing on young entrepreneurs at the forefront of data science as well as on giant companies such as IBM that are making big bets on data science for the future of their businesses, Data-ism is a field guide to what is ahead, explaining how individuals and institutions will need to exploit, protect, and manage data to stay competitive in the coming years. With rich examples of how the rise of big data is affecting everyday life, Data-ism also raises provocative questions about policy and practice that have wide implications for everyone.
The age of data-ism is here. But are we ready to handle its consequences, good and bad?
This book will show you how to develop and maintain current business contingency and disaster recovery plans to ensure your enterprises are able to sustain loss are able to recover, and protect your assets, be it your business, your information, or yourself, from threats.Offers powerful techniques for weighing and managing the risks that face your organizationGives insights into universal principles that can be adapted to specific situations and threatsCovers topics needed by homeland security professionals as well as IT and physical security managers
Aspiring digital businesses need overall IT agility, not just development team agility. In Agile IT Organization Design , IT management consultant and ThoughtWorks veteran Sriram Narayan shows how to infuse agility throughout your organization. Drawing on more than fifteen years’ experience working with enterprise clients in IT-intensive industries, he introduces an agile approach to “Business–IT Effectiveness” that is as practical as it is valuable.
The author shows how structural, political, operational, and cultural facets of organization design influence overall IT agility—and how you can promote better collaboration across diverse functions, from sales and marketing to product development, and engineering to IT operations. Through real examples, he helps you evaluate and improve organization designs that enhance autonomy, mastery, and purpose: the key ingredients for a highly motivated workforce.
You’ll find “close range” coverage of team design, accountability, alignment, project finance, tooling, metrics, organizational norms, communication, and culture. For each, you’ll gain a deeper understanding of where your organization stands, and clear direction for making improvements. Ready to optimize the performance of your IT organization or digital business? Here are practical solutions for the long term, and for right now.Govern for value over predictability Organize for responsiveness, not lowest cost Clarify accountability for outcomes and for decisions along the way Strengthen the alignment of autonomous teams Move beyond project teams to capability teams Break down tool-induced silos Choose financial practices that are free of harmful side effects Create and retain great teams despite today’s “talent crunch” Reform metrics to promote (not prevent) agility Evolve culture through improvements to structure, practices, and leadership—and careful, deliberate interventions
all the music, film and text ever produced will be available on-demand in our own homesyour "bodynet" will let you make phone calls, check email and pay bills as you walk down the streetadvances in telecommunication will radically alter the role of face-to-face contact in our livesglobal disparities in infrastructure will widen the gap between rich and poorsurgical mini-robots and online care will change the practice of medicine as we know it.
Detailed, accessible and visionary, What Will Be is essential for Information Age revolutionaries and technological neophytes alike.
Security professionals share the responsibility for mitigating damage, serving as a resource to an Emergency Tactical Center, assisting the return of business continuity, and liaising with local response agencies such as police and fire departments, emergency medical responders, and emergency warning centers. At the organizational level, the book addresses budgeting, employee performance, counseling, hiring and termination, employee theft and other misconduct, and offers sound advice on building constructive relationships with organizational peers and company management.Comprehensive introduction to security and IT security management principlesDiscussion of both public and private sector roles, as well as the increasingly common privatizing of government functionsNew experience-based exercises to sharpen security management and strategic skills and reinforce the content of each chapter
Tomorrow’s winning “Intelligent Enterprises” will bring together far more diverse sources of data, analyze it in more powerful ways, and deliver immediate insight to decision-makers throughout the organization. Today, however, most companies fail to apply the information they already have, while struggling with the complexity and costs of their existing information environments.
In this book, a team of IBM’s leading information management experts guide you on a journey that will take you from where you are today toward becoming an “Intelligent Enterprise.”
Drawing on their extensive experience working with enterprise clients, the authors present a new, information-centric approach to architecture and powerful new models that will benefit any organization. Using these strategies and models, companies can systematically unlock the business value of information by delivering actionable, real-time information in context to enable better decision-making throughout the enterprise–from the “shop floor” to the “top floor.”
Coverage IncludesHighlighting the importance of Dynamic Warehousing Defining your Enterprise Information Architecture from conceptual, logical, component, and operational views Using information architecture principles to integrate and rationalize your IT investments, from Cloud Computing to Information Service Lifecycle Management Applying enterprise Master Data Management (MDM) to bolster business functions, ranging from compliance and risk management to marketing and product management Implementing more effective business intelligence and business performance optimization, governance, and security systems and processes Understanding “Information as a Service” and “Info 2.0,” the information delivery side of Web 2.0
Leading-edge companies like Amazon and Google are applying DevOps and Agile principles to deliver large software projects faster than anyone thought possible. But most executives don’t understand how to transform their current legacy systems and processes to scale these principles across their organizations.
Leading the Transformation is an executive guide, providing a clear framework for improving development and delivery. Instead of the traditional Agile and DevOps approaches that focus on improving the effectiveness of teams, this book targets the coordination of work across teams in large organizations—an improvement that executives are uniquely positioned to lead.