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| business intelligence bachelor degree: Big Data Analytics in Cybersecurity Onur Savas, Julia Deng, 2017-09-18 Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research. |
| business intelligence bachelor degree: Business Intelligence Career Master Plan Eduardo Chavez, Danny Moncada, 2023-08-31 Learn the foundations of business intelligence, sector trade-offs, organizational structures, and technology stacks while mastering coursework, certifications, and interview success strategies Purchase of the print or Kindle book includes a free PDF eBook Key Features Identify promising job opportunities and ideal entry point into BI Build, design, implement, and maintain BI systems successfully Ace your BI interview with author's expert guidance on certifications, trainings, and courses Book DescriptionNavigating the challenging path of a business intelligence career requires you to consider your expertise, interests, and skills. Business Intelligence Career Master Plan explores key skills like stacks, coursework, certifications, and interview advice, enabling you to make informed decisions about your BI journey. You’ll start by assessing the different roles in BI and matching your skills and career with the tech stack. You’ll then learn to build taxonomy and a data story using visualization types. Additionally, you’ll explore the fundamentals of programming, frontend development, backend development, software development lifecycle, and project management, giving you a broad view of the end-to-end BI process. With the help of the author’s expert advice, you’ll be able to identify what subjects and areas of study are crucial and would add significant value to your skill set. By the end of this book, you’ll be well-equipped to make an informed decision on which of the myriad paths to choose in your business intelligence journey based on your skill set and interests.What you will learn Understand BI roles, roadmap, and technology stack Accelerate your career and land your first job in the BI industry Build the taxonomy of various data sources for your organization Use the AdventureWorks database and PowerBI to build a robust data model Create compelling data stories using data visualization Automate, templatize, standardize, and monitor systems for productivity Who this book is for This book is for BI developers and business analysts who are passionate about data and are looking to advance their proficiency and career in business intelligence. While foundational knowledge of tools like Microsoft Excel is required, having a working knowledge of SQL, Python, Tableau, and major cloud providers such as AWS or GCP will be beneficial. |
| business intelligence bachelor degree: Applied Microsoft Business Intelligence Patrick LeBlanc, Jessica M. Moss, Dejan Sarka, Dustin Ryan, 2015-05-06 Leverage the integration of SQL Server and Office for more effective BI Applied Microsoft Business Intelligence shows you how to leverage the complete set of Microsoft tools—including Microsoft Office and SQL Server—to better analyze business data. This book provides best practices for building complete BI solutions using the full Microsoft toolset. You will learn how to effectively use SQL Server Analysis and Reporting Services, along with Excel, SharePoint, and other tools to provide effective and cohesive solutions for the enterprise. Coverage includes BI architecture, data queries, semantic models, multidimensional modeling, data analysis and visualization, performance monitoring, data mining, and more, to help you learn to perform practical business analysis and reporting. Written by an author team that includes a key member of the BI product team at Microsoft, this useful reference provides expert instruction for more effective use of the Microsoft BI toolset. Use Microsoft BI suite cohesively for more effective enterprise solutions Search, analyze, and visualize data more efficiently and completely Develop flexible and scalable tabular and multidimensional models Monitor performance, build a BI portal, and deploy and manage the BI Solution |
| business intelligence bachelor degree: Sustaining Competitive Advantage via Business Intelligence, Knowledge Management, and System Dynamics Mohammed Quaddus, Arch G. Woodside, 2015-10-07 Volume 22 includes two main chapters in both Part A and B. It appears in two parts because all chapters offer great depth in coverage of core issues senior executives must address for long-term survival of the firm: business intelligence, knowledge management, and understanding of the systems dynamics of interfirm behavior. |
| business intelligence bachelor degree: Information Quality and Governance for Business Intelligence Yeoh, William, 2013-12-31 Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems. |
| business intelligence bachelor degree: A First Course in Machine Learning Simon Rogers, Mark Girolami, 2016-10-14 Introduces the main algorithms and ideas that underpin machine learning techniques and applications Keeps mathematical prerequisites to a minimum, providing mathematical explanations in comment boxes and highlighting important equations Covers modern machine learning research and techniques Includes three new chapters on Markov Chain Monte Carlo techniques, Classification and Regression with Gaussian Processes, and Dirichlet Process models Offers Python, R, and MATLAB code on accompanying website: http://www.dcs.gla.ac.uk/~srogers/firstcourseml/ |
| business intelligence bachelor degree: Hands-On Business Intelligence with Qlik Sense Pablo Labbe, Clever Anjos, Kaushik Solanki, Jerry DiMaso, 2019-02-28 Create dynamic dashboards to bring interactive data visualization to your enterprise using Qlik Sense Key FeaturesImplement various Qlik Sense features to create interactive dashboardsAnalyze data easily and make business decisions faster using Qlik SensePerform self-service data analytics and geospatial analytics using an example-based approachBook Description Qlik Sense allows you to explore simple-to-complex data to reveal hidden insights and data relationships to make business-driven decisions. Hands-On Business Intelligence with Qlik Sense begins by helping you get to grips with underlying Qlik concepts and gives you an overview of all Qlik Sense’s features. You will learn advanced modeling techniques and learn how to analyze the data loaded using a variety of visualization objects. You’ll also be trained on how to share apps through Qlik Sense Enterprise and Qlik Sense Cloud and how to perform aggregation with AGGR. As you progress through the chapters, you’ll explore the stories feature to create data-driven presentations and update an existing story. This book will guide you through the GeoAnalytics feature with the geo-mapping object and GeoAnalytics connector. Furthermore, you’ll learn about the self-service analytics features and perform data forecasting using advanced analytics. Lastly, you’ll deploy Qlik Sense apps for mobile and tablet. By the end of this book, you will be well-equipped to run successful business intelligence applications using Qlik Sense's functionality, data modeling techniques, and visualization best practices. What you will learnDiscover how to load, reshape, and model data for analysisApply data visualization practices to create stunning dashboardsMake use of Python and R for advanced analyticsPerform geo-analysis to create visualizations using native objectsLearn how to work with AGGR and data storiesWho this book is for If you’re a data analyst, BI developer, or interested in business intelligence and want to gain practical experience of working on Qlik Sense, this book is for you. You’ll also find it useful if you want to explore Qlik Sense’s next-generation applications for self-service business intelligence. No prior experience of working with Qlik Sense is required. |
| business intelligence bachelor degree: AI-Powered Business Intelligence for Modern Organizations Natarajan, Arul Kumar, Galety, Mohammad Gouse, Iwendi, Celestine, Das, Deepthi, Shankar, Achyut, 2024-10-01 Technology’s rapid advancement has revolutionized how organizations gather, analyze, and utilize data. In this dynamic landscape, integrating artificial intelligence (AI) into business intelligence (BI) systems has emerged as a critical factor for driving informed decision-making and maintaining competitive advantage. This integration allows business to respond quickly to market changes, personalize customer experiences, and optimize operations with greater precision. As AI-driven BI tools continue to evolve, they empower organizations to harness vast amounts of data more effectively, making strategic decisions that are both timely and data-driven, thereby securing their position in an increasingly competitive marketplace. AI-Powered Business Intelligence for Modern Organizations provides a comprehensive overview of this transformative intersection, addressing the diverse challenges, opportunities, and future trends in this field. By exploring the integration of AI into BI systems, the text delves into how advanced analytics, machine learning, and automation are reshaping the way businesses operate. Covering topics such as augmented analytics, decision-making, and sustainability metrics, this book is an excellent resource for business leaders and executives, data scientists and analysts, IT and technology managers, academicians, researchers, graduate and postgraduate students, consultants, industry experts, and more. |
| business intelligence bachelor degree: Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications Rahman El Sheikh, Asim Abdel, 2011-09-30 Business intelligence applications are of vital importance as they help organizations manage, develop, and communicate intangible assets such as information and knowledge. Organizations that have undertaken business intelligence initiatives have benefited from increases in revenue, as well as significant cost savings.Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications highlights the marriage between business intelligence and knowledge management through the use of agile methodologies. Through its fifteen chapters, this book offers perspectives on the integration between process modeling, agile methodologies, business intelligence, knowledge management, and strategic management. |
| business intelligence bachelor degree: Business Intelligence in Microsoft SharePoint 2013 Norman P. Warren, Mariano Teixeira Neto, Stacia Misner, Ivan Sanders, Scott A. Helmers, 2013 Dive into the business intelligence (BI) features in SharePoint 2013 - and use the right combination of tools to deliver compelling solutions. This practical book guides you through the BI application services available in SharePoint 2013 and Microsoft SQLServer. |
| business intelligence bachelor degree: IBM Cognos Business Intelligence V10.1 Handbook Dean Browne, Brecht Desmeijter, Rodrigo Frealdo Dumont, Armin Kamal, John Leahy, Scott Masson, Ksenija Rusak, Shinsuke Yamamoto, Martin Keen, IBM Redbooks, 2010-10-25 IBM® Cognos® Business Intelligence (BI) helps organizations meet strategic objectives and provides real value for the business by delivering the information everyone needs while also reducing the burden on IT. This IBM Redbooks® publication addresses IBM Cognos Business Intelligence V10.1. You can use this book to: - Understand core features of IBM Cognos BI V10.1 - Realize the full potential of IBM Cognos BI - Learn by example with practical scenarios This book uses a fictional business scenario to demonstrate the power of IBM Cognos BI. The book is primarily focused on the roles of Advanced Business User, Professional Report Author, Modeler, Administrator, and IT Architect. |
| business intelligence bachelor degree: Learn Power BI Greg Deckler, 2022-02-18 Learn how to use Power BI to deliver the insights needed to help your enterprise survive and thrive Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn simple through to advanced Power BI features in a clear, concise way using real-world examples Develop powerful analytical models and reports that extract key business insights Publish, share and collaborate on impressive reports, dashboards, apps, and goals Book DescriptionTo succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This updated second edition of Learn Power BI takes you on a journey of data exploration and discovery, using Microsoft Power BI to ingest, cleanse, and organize data in order to unlock key business insights that can then be shared with others. This newly revised and expanded edition of Learn Power BI covers all of the latest features and interface changes and takes you through the fundamentals of business intelligence projects, how to deploy, adopt, and govern Power BI within your organization, and how to leverage your knowledge in the marketplace and broader ecosystem that is Power BI. As you progress, you will learn how to ingest, cleanse, and transform your data into stunning visualizations, reports, and dashboards that speak to business decision-makers. By the end of this Power BI book, you will be fully prepared to be the data analysis hero of your organization – or even start a new career as a business intelligence professional.What you will learn Get up and running quickly with Power BI Understand and plan your business intelligence projects Connect to and transform data using Power Query Create data models optimized for analysis and reporting Perform simple and complex DAX calculations to enhance analysis Discover business insights and create professional reports Collaborate via Power BI dashboards, apps, goals, and scorecards Deploy and govern Power BI, including using deployment pipelines Who this book is for If you’re an IT manager, data analyst, or BI user new to using Power BI for solving business intelligence problems, this book is for you. You’ll also find this book helpful if you want to migrate from other BI tools to create powerful and interactive dashboards. No experience of working with Power BI is expected. |
| business intelligence bachelor degree: Data Analytics and Business Intelligence Vincent Charles, Pratibha Garg, Neha Gupta, Mohini Agarwal, 2023-06-15 Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and services. BA is the process of transforming data into actionable insight by using statistical and mathematical analysis, descriptive, prescriptive, and predictive models, machine learning, information systems and network science methods, among others, along with a variety of data, expert knowledge, and fact-based management to support better and faster decision-making. BA and Business Intelligence (BI) generate capabilities for companies to compete in the market effectively and has become one of the main functional areas in most companies. BA tools are used in diverse ways, for example, to identify consumer behaviour patterns and market trends, to derive valuable insights on the performance of stocks, to find information on the attrition rate of employees, to analyse and solve healthcare problems, to offer insight into inventory management and supply chain management, to analyse data from social networks, and to infer traffic behaviour and develop traffic management policy, among others. BA and BI have become one of the most popular research areas in academic circles, as well as in the industry, driven by the increasing demand in the business world. This book aims to become a stimulus for innovative business solutions covering a wide range of aspects of business analytics, such as management science, information technology, descriptive, prescriptive, and predictive models, machine learning, network science, mathematical and statistical techniques. The book will encompass a valuable collection of chapters exploring and discussing computational frameworks, practices, and applications of BA that can assist industries and relevant stakeholders in decision-making and problem-solving exercises, with a view to driving competitive advantage. |
| business intelligence bachelor degree: Enterprise Business Intelligence and Data Warehousing Alan Simon, 2014-11-24 Corporations and governmental agencies of all sizes are embracing a new generation of enterprise-scale business intelligence (BI) and data warehousing (DW), and very often appoint a single senior-level individual to serve as the Enterprise BI/DW Program Manager. This book is the essential guide to the incremental and iterative build-out of a successful enterprise-scale BI/DW program comprised of multiple underlying projects, and what the Enterprise Program Manager must successfully accomplish to orchestrate the many moving parts in the quest for true enterprise-scale business intelligence and data warehousing. Author Alan Simon has served as an enterprise business intelligence and data warehousing program management advisor to many of his clients, and spent an entire year with a single client as the adjunct consulting director for a $10 million enterprise data warehousing (EDW) initiative. He brings a wealth of knowledge about best practices, risk management, organizational culture alignment, and other Critical Success Factors (CSFs) to the discipline of enterprise-scale business intelligence and data warehousing. |
| business intelligence bachelor degree: Computational Intelligence Applications in Business Intelligence and Big Data Analytics Vijayan Sugumaran, Arun Kumar Sangaiah, Arunkumar Thangavelu, 2017-06-26 There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book. |
| business intelligence bachelor degree: Modern Enterprise Business Intelligence and Data Management Alan Simon, 2014-08-28 Nearly every large corporation and governmental agency is taking a fresh look at their current enterprise-scale business intelligence (BI) and data warehousing implementations at the dawn of the Big Data Era...and most see a critical need to revitalize their current capabilities. Whether they find the frustrating and business-impeding continuation of a long-standing silos of data problem, or an over-reliance on static production reports at the expense of predictive analytics and other true business intelligence capabilities, or a lack of progress in achieving the long-sought-after enterprise-wide single version of the truth – or all of the above – IT Directors, strategists, and architects find that they need to go back to the drawing board and produce a brand new BI/data warehousing roadmap to help move their enterprises from their current state to one where the promises of emerging technologies and a generation's worth of best practices can finally deliver high-impact, architecturally evolvable enterprise-scale business intelligence and data warehousing. Author Alan Simon, whose BI and data warehousing experience dates back to the late 1970s and who has personally delivered or led more than thirty enterprise-wide BI/data warehousing roadmap engagements since the mid-1990s, details a comprehensive step-by-step approach to building a best practices-driven, multi-year roadmap in the quest for architecturally evolvable BI and data warehousing at the enterprise scale. Simon addresses the triad of technology, work processes, and organizational/human factors considerations in a manner that blends the visionary and the pragmatic. - Takes a fresh look at true enterprise-scale BI/DW in the Dawn of the Big Data Era - Details a checklist-based approach to surveying one's current state and identifying which components are enterprise-ready and which ones are impeding the key objectives of enterprise-scale BI/DW - Provides an approach for how to analyze and test-bed emerging technologies and architectures and then figure out how to include the relevant ones in the roadmaps that will be developed - Presents a tried-and-true methodology for building a phased, incremental, and iterative enterprise BI/DW roadmap that is closely aligned with an organization's business imperatives, organizational culture, and other considerations |
| business intelligence bachelor degree: Computing Predictive Analytics, Business Intelligence, and Economics Cyrus F. Nourani, 2019-06-26 This volume brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling. Applications for management science and IT have been of interest areas for business schools and computing experts during recent years. Among the areas that are being treated are modern analytics, heterogeneous computing, business intelligence, ERP (enterprise resource planning), and decision science. Consumers have been pledging their love for data visualizations for a while now, and data is the area being explored, such as B2B and EC (E-commerce), E-business and the Intelligent Web, CRM (customer relationship management), infrastructures, and more. The digitization implications of these many new applications are described and explored in this informative volume. |
| business intelligence bachelor degree: Exploiting IBM PowerVM Virtualization Features with IBM Cognos 8 Business Intelligence Dino Quintero, Bruno Alves, Thanh Lam, Sudipto Pal, Liviu Rosca, IBM Redbooks, 2010-09-07 This IBM® Redbooks® publication addresses topics to leverage the virtualization strengths of the IBM Power platform to solve customer system resource utilization challenges and maximize system throughput and capacity. This IBM Redbooks publication will help you leverage the strengths of the POWER platform, provide implementation scenarios with Cognos® 8 Business Intelligence (BI) with the comprehensive set of the IBM PowerVMTM virtualization features, and identify and document best practices for exploiting the IBM PowerVM virtualization features within Cognos BI deployments to maximize utilization of system resources and maximize Cognos throughput and capacity. This book is targeted toward technical professionals (BI consultants, technical support staff, IT architects, and IT specialists) responsible for providing business intelligence solutions and support for Cognos BI on POWER® systems. |
| business intelligence bachelor degree: Integration Challenges for Analytics, Business Intelligence, and Data Mining Azevedo, Ana, Santos, Manuel Filipe, 2020-12-11 As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students. |
| business intelligence bachelor degree: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-11-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| business intelligence bachelor degree: Decision Intelligence Analytics and the Implementation of Strategic Business Management P. Mary Jeyanthi, Tanupriya Choudhury, Dieu Hack-Polay, T P Singh, Sheikh Abujar, 2022-01-01 This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context. |
| business intelligence bachelor degree: Handbook of Research on Integrating Social Media into Strategic Marketing Hajli, Nick, 2015-04-30 To survive in today’s competitive business environment, marketing professionals must look to develop innovative methods of reaching their customers and stakeholders. Web 2.0 provides a useful tool in developing the relationships between business and consumer. The Handbook of Research on Integrating Social Media into Strategic Marketing explores the use of social networking and other online media in marketing communications, including both best practices and common pitfalls to provide comprehensive coverage of the topic. This book is intended for marketing professionals, business managers, and anyone interested in how social media fits into today’s marketing environments. |
| business intelligence bachelor degree: Impact of Open Innovation on the World Economy Rua, Orlando Lima, 2022-03-28 Open innovation has revolutionized the way businesses adapt to situations, handle problems, and interact with other corporations. Establishing these collaborative business practices has the potential to support and improve business operations across fields, which makes further study vital in order to properly implement the best practices and techniques. As open innovation continues to develop and provide businesses with numerous opportunities for growth, it is crucial to understand and address the trends and challenges of innovation for business and countries’ economic and social development. Impact of Open Innovation on the World Economy is an essential reference source that provides examinations on issues of open innovation in the context of organizations and its links to entrepreneurship, strategy, and marketing. The book further provides necessary resources to adopt and implement new business and social solutions. Covering a range of topics such as firm performance and business collaborations, this reference work is ideal for entrepreneurs, managers, technology developers, policymakers, researchers, academicians, practitioners, instructors, and students. |
| business intelligence bachelor degree: Graduate Programs in Engineering & Applied Sciences 2015 (Grad 5) Peterson's, 2014-11-11 Peterson's Graduate Programs in Engineering & Applied Sciences 2015 contains comprehensive profiles of more than 3,850 graduate programs in all relevant disciplines-including aerospace/aeronautical engineering, agricultural engineering & bioengineering, chemical engineering, civil and environmental engineering, computer science and information technology, electrical and computer engineering, industrial engineering, telecommunications, and more. Two-page in-depth descriptions, written by featured institutions, offer complete details on a specific graduate program, school, or department as well as information on faculty research. Comprehensive directories list programs in this volume, as well as others in the Peterson's graduate series. |
| business intelligence bachelor degree: Industry 4.0: Managing The Digital Transformation Alp Ustundag, Emre Cevikcan, 2017-09-14 This book provides a comprehensive guide to Industry 4.0 applications, not only introducing implementation aspects but also proposing a conceptual framework with respect to the design principles. In addition, it discusses the effects of Industry 4.0, which are reflected in new business models and workforce transformation. The book then examines the key technological advances that form the pillars of Industry 4.0 and explores their potential technical and economic benefits using examples of real-world applications. The changing dynamics of global production, such as more complex and automated processes, high-level competitiveness and emerging technologies, have paved the way for a new generation of goods, products and services. Moreover, manufacturers are increasingly realizing the value of the data that their processes and products generate. Such trends are transforming manufacturing industry to the next generation, namely Industry 4.0, which is based on the integration of information and communication technologies and industrial technology.The book provides a conceptual framework and roadmap for decision-makers for this transformation |
| business intelligence bachelor degree: 101 Careers in Healthcare Management Leonard H. Friedman, PhD, MPH, FACHE, Anthony R. Kovner, PhD, 2017-10-31 101 Careers in Healthcare Management, Second Edition continues to be the only comprehensive guide to careers in health administration, ranging from entry-level management positions to the most senior executive opportunities. The second edition has been updated throughout and includes three new chapters that will assist students and healthcare managers alike. Additional content includes a quick historical overview of the field including its growth and transformation, essential traits that will prepare a professional for career change and advancement, and a call for new leadership competencies which every job candidate should adopt and master in a rapidly adapting industry. The book is replete with over 40 new interviews spanning those in entry-level positions to CEOs that reflect a greater diversity of careers and demographics in an evolving job market. Based on the most current data from the U.S. Department of Labor and professional societies in healthcare management, this guide describes careers in acute and long-term care, physician practices, international and government organizations, commercial insurance, consulting firms, executive search firms, pharmaceuticals and biotechnology, medical devices, public health organizations, information technology and informatics, and regulatory agencies. In each setting, experts explain job responsibilities, educational requirements, opportunities, and cover traditional and nontraditional career pathways. Authored by two senior and highly respected leaders in health administration education and written in clear, jargon-free text, the second edition like its predecessor is easy-to-navigate and now offers even more insider advice for students of healthcare management, career-changers, and those working in the field who are considering career advancement. New to this Edition: New chapters on A Brief History of Healthcare Management, Preparation and Professionalism, and Leadership Competencies for an Uncertain Future. Over 40 new interviews with healthcare managers who have changed careers or advanced in their professional track |
| business intelligence bachelor degree: Analytics in Healthcare: An Introduction Raymond A. Gensinger, Jr., MD, CPHIMS, FHIMSS, Editor, 2014 Analytics in healthcare: An introduction product details : 1) It gives clear insights about healthcare analytics. 2) This is helpful for both student and staff. 3) Includes data governance and DELTA analytics maturity model. 4) Quick and manageable to read. |
| business intelligence bachelor degree: Implementing Business Intelligence in Your Healthcare Organization Cynthia McKinney, MBA, FHIMSS, PMP, Ray Hess, RRT, 2012-02-18 Implementing business intelligence is a strategic activity that channels the outcomes of performance throughout the healthcare organization and its stakeholders. Additionally, business intelligence provides a visual, high-level view of historical trends, current operations and predictive analysis. Through insightful chapters written by industry experts and numerous, real-world case studies, this book demonstrates myriad practical and proven steps to developing a business intelligence solution, including pre- and post-implementation issues. This book is packed with information that will help you and your organization raise awareness of hidden business intelligence, generate improved analytical data and spread the access to this new information across the continuum of care. 2012. |
| business intelligence bachelor degree: InfoWorld , 2003-07-21 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
| business intelligence bachelor degree: Addressing Data Volume, Velocity, and Variety with IBM InfoSphere Streams V3.0 Mike Ebbers, Ahmed Abdel-Gayed, Veera Bhadran Budhi, Ferdiansyah Dolot, Vishwanath Kamat, Ricardo Picone, Joao Trevelin, IBM Redbooks, 2013-03-12 There are multiple uses for big data in every industry—from analyzing larger volumes of data than was previously possible to driving more precise answers, to analyzing data at rest and data in motion to capture opportunities that were previously lost. A big data platform will enable your organization to tackle complex problems that previously could not be solved using traditional infrastructure. As the amount of data available to enterprises and other organizations dramatically increases, more and more companies are looking to turn this data into actionable information and intelligence in real time. Addressing these requirements requires applications that are able to analyze potentially enormous volumes and varieties of continuous data streams to provide decision makers with critical information almost instantaneously. IBM® InfoSphere® Streams provides a development platform and runtime environment where you can develop applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams based on defined, proven, and analytical rules that alert you to take appropriate action, all within an appropriate time frame for your organization. This IBM Redbooks® publication is written for decision-makers, consultants, IT architects, and IT professionals who will be implementing a solution with IBM InfoSphere Streams. |
| business intelligence bachelor degree: Recent Advances in Intelligent Technologies and Information Systems Sugumaran, Vijayan, 2014-10-31 The amount of data used in the business world has been growing at a rapid and exponential rate. These large volumes of data have led not only to the rise of big data analytics, but to the need for improvements and advancements in the management of it. Recent Advances in Intelligent Technologies and Information Systems brings together current practices and innovations in the management and processing of diverse big data sets through technological integration. Focusing on concepts such as semantic technologies, open source tools, and soft computing, this book is an integral reference source for professionals, researchers, and practitioners interested in the application of technological advancements. |
| business intelligence bachelor degree: Digital Strategies And Organizational Transformation G Reza Djavanshir, 2023-08-02 In today's highly competitive business environments, with the rise of digital businesses and digital economy, digital strategies and organizational changes go hand in hand. Organizations that possess a robust digital strategy benefit greatly from the advancements of emerging digital technologies, and hence, making necessary organizational changes in order to maximise the benefits have become vital for their survival. According to MIT Sloan's Center for Information Systems Research (CISR), '[i]n this period of digital disruption, businesses focused narrowly on value chains are at a disadvantage'. Next-generation enterprises need to think more broadly about their business ecosystems, leverage digitization to understand their customers better, and establish options for future success. Therefore, competitive businesses have started using a variety of digital tools including artificial intelligence, alongside other digital applications, making the required changes to their organizational models and cultures to better serve their customers efficiently and effectively.This book contains a collection of chapters describing these digital strategies and how they go hand in hand with organizational changes. We solicited contributions from well-known academics from universities, business leaders, and experts within businesses and government organizations for this book. The majority of the chapters examines the necessary relationships between these two critical issues. Specifically, this book discusses how to infuse new knowledge into ongoing discourse and debates within academia and business organizations regarding digital strategies and organizational changes, and how to accomplish seamless integration of digital tools and applications into organizational platforms in order to accomplish the required organizational changes smoothly.In summary, this book discusses the integration and implementation of digital technology and the required organizational changes to take advantage of the phenomenon of digitization. In order to create competitive advantage, leadership organizations must address the challenges of formulating and implementing robust digital strategies and simultaneously, start making the required organizational changes, as this book concludes. |
| business intelligence bachelor degree: Microsoft SQL Server 2014 Business Intelligence Development Beginner’s Guide Reza Rad, 2014-05-26 Written in an easy-to-follow, example-driven format, there are plenty of stepbystep instructions to help get you started! The book has a friendly approach, with the opportunity to learn by experimenting. If you are a BI and Data Warehouse developer new to Microsoft Business Intelligence, and looking to get a good understanding of the different components of Microsoft SQL Server for Business Intelligence, this book is for you. It’s assumed that you will have some experience in databases systems and T-SQL. This book is will give you a good upshot view of each component and scenarios featuring the use of that component in Data Warehousing and Business Intelligence systems. |
| business intelligence bachelor degree: Data Visualization for Oracle Business Intelligence 11g Dan Vlamis, Tim Vlamis, 2015-02-13 The only Oracle Press guide to creating effective visual presentations of business intelligence data quickly and easily Data Visualization for Oracle Business Intelligence 11g reveals the best practices for creating graphs, tables, maps, and other methodologies for presenting data-driven insights using one of the most common business intelligence front-end systems in the world, Oracle Business Intelligence 11g. This information-rich guide offers clear instructions for building top-quality dashboards, analyses, and visualizations from real-world implementers and respected data visualization experts. You’ll learn everything from improving the readability of your tables to implementing the latest Advanced Trellis Chart features and from adding native map views of BI data to designing optimal dashboard layout strategies. You’ll see how to produce accurate, compelling, and professional graphics that will immediately enhance corporate decision making. Shows proven steps for extracting maximum impact from native features that are little known to the majority of BI users Covers dashboard strategy, including layout, design, navigation, master detail linking, action links, and prompts Addresses how to extend Oracle Business Intelligence 11g with advanced languages and visualization systems such as JavaScript-based D3 and JQuery, R, and Oracle Application Development Framework Includes an associated web gallery showcasing the colors and graphics that render best digitally |
| business intelligence bachelor degree: AI and Data Analytics Applications in Organizational Management Merlo, Tereza Raquel, 2024-02-07 Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking. AI and Data Analytics Applications in Organizational Management, combines rigorous scholarship with practicality. It traverses the spectrum from theoretical foundations to real-world applications, making it indispensable for those seeking to implement AI-driven data analytics in their organizations. Moreover, it delves into the ethical and societal dimensions of this revolution, ensuring that the journey toward innovation is paved with responsible considerations. For researchers, scholars, and practitioners yearning to unleash the potential of AI in organizational management, this book is the key to not only understanding the landscape but also charting a course toward transformative change. |
| business intelligence bachelor degree: Computerworld , 2001-09-10 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| business intelligence bachelor degree: Handbook of Research on Promoting Sustainable Public Transportation Strategies in Urban Environments Yilmaz, Zafer, Golem, Silvia, Costescu, Dorinela, 2023-01-16 The traditional urban transportation systems around the globe are now being transferred into green public transportation systems in an effort to mitigate CO2 emissions and provide nature-friendly transportation systems in cities and, ultimately, to increase citizens’ wellbeing. Furthermore, the cities are expected to transform their traditional transportation systems to cutting-edge high technology green transportation systems in the near future due to regulations applied by the related authorities such as the EU and UN. At the same time, cities are undergoing a transformation from traditional to smart cities, which is an inevitable process due to swift developments in technologies and smart systems. Sustainable public transportation systems must be developed and adjusted to be applicable in future smart cities. The Handbook of Research on Promoting Sustainable Public Transportation Strategies in Urban Environments considers the challenges and advantages of sustainable public transportation systems in urban areas and provides relevant theoretical frameworks, the latest empirical research findings, and an overview of the latest technological developments on the subject. Covering key topics such as green vehicles, sustainability, and walkable cities, this major reference work is ideal for policymakers, government officials, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students. |
| business intelligence bachelor degree: Labour and Skills Demand in Alberta Insights Using Big Data Intelligence OECD, 2023-09-08 This report examines Alberta's labour market trends, focusing on the impact of economic downturns, the COVID-19 crisis, and digital transformation. This study uses real-time labour market data, drawn from online job postings, to offer a granular perspective on demand dynamics across various sectors and occupations. |
| business intelligence bachelor degree: IBM Cognos Dynamic Query Nigel Campbell, Henk Cazemier, Robert Hatfield, Martin Petitclerc, Glen Seeds, Jason Tavoularis, IBM Redbooks, 2013-09-12 This IBM® Redbooks® publication explains how IBM Cognos® Business Intelligence (BI) administrators, authors, modelers, and power users can use the dynamic query layer effectively. It provides guidance for determining which technology within the dynamic query layer can best satisfy your business requirements. Administrators can learn how to tune the query service effectively and preferred practices for managing their business intelligence content. This book includes information about metadata modeling of relational data sources with IBM Cognos Framework Manager. It includes considerations that can help you author high-performing applications that satisfy analytical requirements of users. This book provides guidance for troubleshooting issues related to the dynamic query layer of Cognos BI. Related documents: Solution Guide : Big Data Analytics with IBM Cognos BI Dynamic Query Blog post : IBM Cognos Dynamic Query Extensibility |
| business intelligence bachelor degree: Handbook of Research on Managing Information Systems in Developing Economies Boateng, Richard, 2020-04-17 Technology provides accessibility otherwise unavailable to the people who can benefit from it the most. As new digital tools become less expensive and more widely available, research and real-world cases that examine the union between emergent countries and information systems are essential in determining the next steps for these nations. The Handbook of Research on Managing Information Systems in Developing Economies is a pivotal reference source that explores the effects of technological data handling within developing economies. Covering a broad range of topics such as emerging digital technologies, socio-economic development, and technology startups, this book is ideally designed for software programmers, policymakers, practitioners, educators, academicians, students, and researchers. |
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….
