Search Results for a-practical-guide-to-analytics-for-governments

This book shows you how analytics can be implemented in your own milieu: What is the downstream impact of new legislation? How can we make programs more efficient? Is it possible to predict policy outcomes without analytics?

Author: Marie Lowman

Publisher: John Wiley & Sons

ISBN: 9781119362821

Category: Business & Economics

Page: 224

View: 981

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Analytics can make government work better—this book shows you how A Practical Guide to Analytics for Governments provides demonstrations of real-world analytics applications for legislators, policy-makers, and support staff at the federal, state, and local levels. Big data and analytics are transforming industries across the board, and government can reap many of those same benefits by applying analytics to processes and programs already in place. From healthcare delivery and child well-being, to crime and program fraud, analytics can—in fact, already does—transform the way government works. This book shows you how analytics can be implemented in your own milieu: What is the downstream impact of new legislation? How can we make programs more efficient? Is it possible to predict policy outcomes without analytics? How do I get started building analytics into my government organization? The answers are all here, with accessible explanations and useful advice from an expert in the field. Analytics allows you to mine your data to create a holistic picture of your constituents; this model helps you tailor programs, fine-tune legislation, and serve the populace more effectively. This book walks you through analytics as applied to government, and shows you how to reap Big data's benefits at whatever level necessary. Learn how analytics is already transforming government service delivery Delve into the digital healthcare revolution Use analytics to improve education, juvenile justice, and other child-focused areas Apply analytics to transportation, criminal justice, fraud, and much more Legislators and policy makers have plenty of great ideas—but how do they put those ideas into play? Analytics can play a crucial role in getting the job done well. A Practical Guide to Analytics for Governments provides advice, perspective, and real-world guidance for public servants everywhere.
2017-06-06 By Marie Lowman

A Practical Guide for an Effective Analytics Capability Gregory S. Nelson ... World by Karin Reed A Practical Guide to Analytics for Governments: Using Big ...

Author: Gregory S. Nelson

Publisher: John Wiley & Sons

ISBN: 9781119425069

Category: Business & Economics

Page: 464

View: 349

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PRAISE FOR THE ANALYTICS LIFECYCLE TOOLKIT "Full of wisdom and experience about analytics, this book's greatest strength is its lifecycle approach. From framing the question to getting results, you'll learn how analytics can really have an impact on organizations." —Thomas H. Davenport, Ph.D., Author of Competing on Analytics and Only Humans Need Apply "This book condenses a lot of deep thinking on the wide field of analytics strategy. Analytics is not easy—there are no quickie AI/BI/ML shortcuts to understanding your data, your business, or your processes. You have to build a diverse team of talent. You have to respect the hazards of 'fishing expeditions' that may need false-discovery-rate adjustments. You should consider designed experiments to get the true behavior of a process, something that observational data may hint at, but not provide complete understanding. There are dimensions of data wrangling, feature engineering, and data sense-making that all call for different skills. But with deep investment in analytics comes deep insight into processes and tremendous opportunity for improvements. This book puts analytics in the context of a strategic business system, with all its dimensions." —John Sall, Ph.D., SAS co-founder and chief architect of JMP "The Analytics Lifecycle Toolkit provides a clear prescription for organizations aiming to develop a high-performing and scalable analytics capability. Greg organizes and develops with unusual clarity some of the critical nontechnical aspects of the analytics value-chain, and links them with the technical as building blocks in a comprehensive practice. Studying this map of how to negotiate the challenges to effectiveness and efficiency in analytics could save organizations months, or even years of painful trial and error on the road to proficiency." —Scott Radcliffe, Executive Director, Data Analytics at Cox Communications "Many books exist that answer the question 'what is the right tool to solve a problem?' This is one of the few books I've read that answers the much more difficult question 'how do we make analytics become transformative throughout our organization?' Incorporating elements of data science, design thinking, and organizational theory, this book is a valuable resource for executives looking to build analytics into their organizational DNA, data scientists looking to expand their organizational reach, and analytics programs that teach students not just how to do data science, but how to use data science to affect tangible change." —Jeremy Petranka, Ph.D., Assistant Dean Master of Quantitative Management at Duke University's Fuqua School of Business "This book is the 'thinking person's guide to analytics.' Greg has gone deep on some topics and provided considerable references across the analytics lifecycle. This is one of the best books on analytics I have read…and I think I have read them all!" —Bob Gladden, Vice President, Enterprise Analytics, Highmark Health
2018-04-03 By Gregory S. Nelson

... Analytics in a Big Data World: The Essential Guide to Data Science and Its Applications by Bart Baesens A Practical Guide to Analytics for Governments: ...

Author: Michael N. Lewis

Publisher: John Wiley & Sons

ISBN: 9781119613589

Category: Business & Economics

Page: 288

View: 234

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Real-life examples of how to apply intelligence in the healthcare industry through innovative analytics Healthcare analytics offers intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications in hospital management, patient records, diagnosis, operating and treatment costs, and more. Helping healthcare managers operate more efficiently and effectively. Transforming Healthcare Analytics: The Quest for Healthy Intelligence shares real-world use cases of a healthcare company that leverages people, process, and advanced analytics technology to deliver exemplary results. This book illustrates how healthcare professionals can transform the healthcare industry through analytics. Practical examples of modern techniques and technology show how unified analytics with data management can deliver insight-driven decisions. The authors—a data management and analytics specialist and a healthcare finance executive—share their unique perspectives on modernizing data and analytics platforms to alleviate the complexity of the healthcare, distributing capabilities and analytics to key stakeholders, equipping healthcare organizations with intelligence to prepare for the future, and more. This book: Explores innovative technologies to overcome data complexity in healthcare Highlights how analytics can help with healthcare market analysis to gain competitive advantage Provides strategies for building a strong foundation for healthcare intelligence Examines managing data and analytics from end-to-end, from diagnosis, to treatment, to provider payment Discusses the future of technology and focus areas in the healthcare industry Transforming Healthcare Analytics: The Quest for Healthy Intelligence is an important source of information for CFO’s, CIO, CTO, healthcare managers, data scientists, statisticians, and financial analysts at healthcare institutions.
2020-03-24 By Michael N. Lewis

... A. McGuire Analytics: The Agile Way by Phil Simon The Analytics Lifecycle Toolkit: A Practical Guide for an Effective Analytics Capability by Gregory S.

Author: Michael Gilliland

Publisher: John Wiley & Sons

ISBN: 9781119782599

Category: Business & Economics

Page: 432

View: 770

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Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.
2021-04-29 By Michael Gilliland

... Analytics in a Big Data World: The Essential Guide to Data Science and Its Applications by Bart Baesens A Practical Guide to Analytics for Governments: ...

Author: Derek Chau

Publisher: John Wiley & Sons

ISBN: 9781119381969

Category: Business & Economics

Page: 304

View: 394

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Effective transaction monitoring begins with proper implementation Anti-Money Laundering Transaction Monitoring Systems Implementation provides comprehensive guidance for bank compliance and IT personnel tasked with implementing AML transaction monitoring. Written by an authority on data integration and anti-money laundering technology, this book offers both high-level discussion of transaction monitoring concepts and direct clarification of practical implementation techniques. All transaction monitoring scenarios are composed of a few common elements, and a deep understanding of these elements is the critical factor in achieving your goal; without delving into actual code, this guide provides actionable information suitable for any AML platform or solution to help you implement effective strategies and ensure regulatory compliance for your organization. Transaction monitoring is increasingly critical to banking and business operations, and the effectiveness of any given solution is directly correlated to its implementation. This book provides clear guidance on all facets of AML transaction monitoring, from conception to implementation, to help you: Detect anomalies in the data Handle known abnormal behavior Comply with regulatory requirements Monitor transactions using various techniques Regulators all over the world are requiring banks and other companies to institute automated systems that combat money laundering. With many variables at play on both the transaction side and the solution side of the equation, a solid understanding of AML technology and its implementation is the most critical factor in successful detection. Anti-Money Laundering Transaction Monitoring Systems Implementation is an invaluable resource for those tasked with putting these systems in place, providing clear discussion and practical implementation guidance.
2020-12-08 By Derek Chau

... Analytics in a Big Data World: The Essential Guide to Data Science and its Applications by Bart Baesens A Practical Guide to Analytics for Governments: ...

Author: Wouter Verbeke

Publisher: John Wiley & Sons

ISBN: 9781119286554

Category: Business & Economics

Page: 416

View: 786

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Maximize profit and optimize decisions with advanced business analytics Profit-Driven Business Analytics provides actionable guidance on optimizing the use of data to add value and drive better business. Combining theoretical and technical insights into daily operations and long-term strategy, this book acts as a development manual for practitioners seeking to conceive, develop, and manage advanced analytical models. Detailed discussion delves into the wide range of analytical approaches and modeling techniques that can help maximize business payoff, and the author team draws upon their recent research to share deep insight about optimal strategy. Real-life case studies and examples illustrate these techniques at work, and provide clear guidance for implementation in your own organization. From step-by-step instruction on data handling, to analytical fine-tuning, to evaluating results, this guide provides invaluable guidance for practitioners seeking to reap the advantages of true business analytics. Despite widespread discussion surrounding the value of data in decision making, few businesses have adopted advanced analytic techniques in any meaningful way. This book shows you how to delve deeper into the data and discover what it can do for your business. Reinforce basic analytics to maximize profits Adopt the tools and techniques of successful integration Implement more advanced analytics with a value-centric approach Fine-tune analytical information to optimize business decisions Both data stored and streamed has been increasing at an exponential rate, and failing to use it to the fullest advantage equates to leaving money on the table. From bolstering current efforts to implementing a full-scale analytics initiative, the vast majority of businesses will see greater profit by applying advanced methods. Profit-Driven Business Analytics provides a practical guidebook and reference for adopting real business analytics techniques.
2017-10-09 By Wouter Verbeke

... Analytics in a Big Data World: The Essential Guide to Data Science and its Applications by Bart Baesens A Practical Guide to Analytics for Governments: ...

Author: Phil Simon

Publisher: John Wiley & Sons

ISBN: 9781119423478

Category: Business & Economics

Page: 304

View: 226

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For years, organizations have struggled to make sense out of their data. IT projects designed to provide employees with dashboards, KPIs, and business-intelligence tools often take a year or more to reach the finish line...if they get there at all. This has always been a problem. Today, though, it's downright unacceptable. The world changes faster than ever. Speed has never been more important. By adhering to antiquated methods, firms lose the ability to see nascent trends—and act upon them until it's too late. But what if the process of turning raw data into meaningful insights didn't have to be so painful, time-consuming, and frustrating? What if there were a better way to do analytics? Fortunately, you're in luck... Analytics: The Agile Way is the eighth book from award-winning author and Arizona State University professor Phil Simon. Analytics: The Agile Way demonstrates how progressive organizations such as Google, Nextdoor, and others approach analytics in a fundamentally different way. They are applying the same Agile techniques that software developers have employed for years. They have replaced large batches in favor of smaller ones...and their results will astonish you. Through a series of case studies and examples, Analytics: The Agile Way demonstrates the benefits of this new analytics mind-set: superior access to information, quicker insights, and the ability to spot trends far ahead of your competitors.
2017-07-05 By Phil Simon

... Analytics in a Big Data World: The Essential Guide to Data Science and Its Applications by Bart Baesens A Practical Guide to Analytics for Governments: ...

Author: Keith R. Holdaway

Publisher: John Wiley & Sons

ISBN: 9781119302582

Category: Business & Economics

Page: 368

View: 175

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Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. This book shows you how these new tools and methodologies can enhance geophysical and petrophysical data analysis, increasing the value of your exploration data. Apply data-driven modeling concepts in a geophysical and petrophysical context Learn how to get more information out of models and simulations Add value to everyday tasks with the appropriate Big Data application Adjust methodology to suit diverse geophysical and petrophysical contexts Data-driven modeling focuses on analyzing the total data within a system, with the goal of uncovering connections between input and output without definitive knowledge of the system's physical behavior. This multi-faceted approach pushes the boundaries of conventional modeling, and brings diverse fields of study together to apply new information and technology in new and more valuable ways. Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models takes you beyond traditional deterministic interpretation to the future of exploration data analysis.
2017-10-04 By Keith R. Holdaway

... Analytics in a Big Data World: The Essential Guide to Data Science and its Applications by Bart Baesens A Practical Guide to Analytics for Governments: ...

Author: John E. Triantis

Publisher: John Wiley & Sons

ISBN: 9781119486084

Category: Business & Economics

Page: 400

View: 309

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Raise the skill and competency level of project finance organizations Project Finance for Business Development helps readers understand how to develop a competitive advantage through project finance. Most importantly, it shows how different elements of project finance, such as opportunity screening and evaluation, project development, risk management, and due diligence come together to structure viable and financeable projects—which are crucial pieces missing from the current literature. Eliminating misconceptions about what is really important for successful project financings, this book shows you how to develop, structure, and implement projects successfully by creating competitive advantage. By shedding light on project finance failures, it also helps you avoid failures of your own. • Offers a roadmap for successful financing, participant roles and responsibilities, and assessing and testing project viability • Considers project finance from a broad business development and competitive advantage • Provides a strategic decision-forecasting perspective • Delves deeper than existing treatments of project finance into decisions needed to create and implement effective financing plans Helping readers develop, structure, and implement projects successfully by creating competitive advantage, this book is a useful tool for project sponsors and developers, helping them structure and implement projects by creating competitive advantage.
2018-05-08 By John E. Triantis

... Analytics in a Big Data World: The Essential Guide to Data Science and Its Applications by Bart Baesens A Practical Guide to Analytics for Governments: ...

Author: Paul Goodwin

Publisher: John Wiley & Sons

ISBN: 9781119416005

Category: Computers

Page: 240

View: 717

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Go beyond technique to master the difficult judgement calls of forecasting A variety of software can be used effectively to achieve accurate forecasting, but no software can replace the essential human component. You may be new to forecasting, or you may have mastered the statistical theory behind the software’s predictions, and even more advanced “power user” techniques for the software itself—but your forecasts will never reach peak accuracy unless you master the complex judgement calls that the software cannot make. Profit From Your Forecasting Software addresses the issues that arise regularly, and shows you how to make the correct decisions to get the most out of your software. Taking a non-mathematical approach to the various forecasting models, the discussion covers common everyday decisions such as model choice, forecast adjustment, product hierarchies, safety stock levels, model fit, testing, and much more. Clear explanations help you better understand seasonal indices, smoothing coefficients, mean absolute percentage error, and r-squared, and an exploration of psychological biases provides insight into the decision to override the software’s forecast. With a focus on choice, interpretation, and judgement, this book goes beyond the technical manuals to help you truly grasp the more intangible skills that lead to better accuracy. Explore the advantages and disadvantages of alternative forecasting methods in different situations Master the interpretation and evaluation of your software’s output Learn the subconscious biases that could affect your judgement toward intervention Find expert guidance on testing, planning, and configuration to help you get the most out of your software Relevant to sales forecasters, demand planners, and analysts across industries, Profit From Your Forecasting Software is the much sought-after “missing piece” in forecasting reference.
2018-03-22 By Paul Goodwin

... Analytics in a Big Data World: The Essential Guide to Data Science and Its Applications by Bart Baesens A Practical Guide to Analytics for Governments: ...

Author: Jim Sterne

Publisher: John Wiley & Sons

ISBN: 9781119406334

Category: Business & Economics

Page: 368

View: 725

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A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.
2017-08-14 By Jim Sterne

Titles in the Wiley & SAS Business Series include: The Analytic ... by Bart Baesens A Practical Guide to Analytics for Governments: Using Big Data for Good ...

Author: Vinit Sharma

Publisher: John Wiley & Sons

ISBN: 9781119477808

Category: Business & Economics

Page: 336

View: 189

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It’s time to get your head in the cloud! In today’s business environment, more and more people are requesting cloud-based solutions to help solve their business challenges. So how can you not only anticipate your clients’ needs but also keep ahead of the curve to ensure their goals stay on track? With the help of this accessible book, you’ll get a clear sense of cloud computing and understand how to communicate the benefits, drawbacks, and options to your clients so they can make the best choices for their unique needs. Plus, case studies give you the opportunity to relate real-life examples of how the latest technologies are giving organizations worldwide the opportunity to thrive as supply chain solutions in the cloud. Demonstrates how improvements in forecasting, collaboration, and inventory optimization can lead to cost savings Explores why cloud computing is becoming increasingly important Takes a close look at the types of cloud computing Makes sense of demand-driven forecasting using Amazon's cloud Whether you work in management, business, or IT, this is the dog-eared reference you’ll want to keep close by as you continue making sense of the cloud.
2018-11-08 By Vinit Sharma

... Analytics in a Big Data World: The Essential Guide to Data Science and Its Applications by Bart Baesens A Practical Guide to Analytics for Governments: ...

Author: John Wubbel

Publisher: John Wiley & Sons

ISBN: 9781119453741

Category: Computers

Page: 240

View: 367

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Achieve best-in-class metrics and get more from your data with JMP JMP Connections is the small- and medium-sized business owner's guide to exceeding customer expectations by getting more out of your data using JMP. Uniquely bifunctional, this book is divided into two parts: the first half of the book shows you what JMP can do for you. You'll discover how to wring every last drop of insight out of your data, and let JMP parse reams of raw numbers into actionable insight that leads to better strategic decisions. You'll also discover why it works so well; clear explanations break down the Connectivity platform and metrics in business terms to demystify data analysis and JMP while giving you a macro view of the benefits that come from optimal implementation. The second half of the book is for your technical team, demonstrating how to implement specific solutions relating to data set development and data virtualization. In the end, your organization reduces Full Time Equivalents while increasing productivity and competitiveness. JMP is a powerful tool for business, but many organizations aren't even scratching the surface of what their data can do for them. This book provides the information and technical guidance your business needs to achieve more. Learn what a JMP Connectivity Platform can do for your business Understand Metrics-on-Demand, Real-Time Metrics, and their implementation Delve into technical implementation with information on configuration and management, version control, data visualization, and more Make better business decisions by getting more and better information from your data Business leadership relies on good information to make good business decisions—but what if you could increase the quality of the information you receive, while getting more of what you want to know and less of what you don't need to know? How would that affect strategy, operations, customer experience, and other critical areas? JMP can help with that, and JMP Connections provides real, actionable guidance on getting more out of JMP.
2017-10-10 By John Wubbel

... A Practical Guide to Analytics for Governments: Using Big Data for Wiley and SAS Business Series. Wiley, Hoboken (2017). ISBN 9781119362821 Yan, W.Q.: ...

Author: Boris Shishkov

Publisher: Springer

ISBN: 9783319942148

Category: Computers

Page: 454

View: 673

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This book constitutes the proceedings of the 8th International Symposium on Business Modeling and Software Design, BMSD 2018, held in Vienna, Austria, in July 2018. The 14 full papers and 21 short papers selected for inclusion in this book deal with a large number of research topics: (i) Some topics concern Business Processes (BP), such as BP modeling / notations / visualizations, BP management, BP variability, BP contracting, BP interoperability, BP modeling within augmented reality, inter-enterprise collaborations, and so on; (ii) Other topics concern Software Design, such as software ecosystems, specification of context-aware software systems, service-oriented solutions and micro-service architectures, product variability, software development monitoring, and so on; (iii) Still other topics are crosscutting with regard to business modeling and software design, such as data analytics as well as information security and privacy; (iv) Other topics concern hot technology / innovation areas, such as blockchain technology and internet-of-things. Underlying with regard to all those topics is the BMSD’18 theme: Enterprise Engineering and Software Engineering - Processes and Systems for the Future.
2018-06-29 By Boris Shishkov

[23] Halachmi, A. and Greiling, D. (2013), “Transparency, e-government, ... A Practical Guide to Analytics for Governments - Using Big Data for Good, ...

Author: Tri Lestariningsih

Publisher: European Alliance for Innovation

ISBN: 9781631902888

Category: Social Science

Page: 698

View: 423

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We are glad to introduce you the proceedings of the first International Conference on on Economics, Business and Social Humanities (ICONEBS 2020). The 1st ICONEBS 2020 addresses challenges and innovations in the field of economics, business, and social humanities. The conference is enriched with renowned keynote speakers who discuss in the central theme of "The Dynamics of Economics, Business, and Social Humanities". The ICONEBS conference is hosted by State Polytechnic of Madiun and co-hosted by Aviation Polytechnic of Surabaya and Polytechnic of Jambi. This year, we held this flexible online conference to gather experts and scholars around the globe with the aim to continue disseminating the latest advanced research in the field of the dynamics of economics, business, and social humanities. We are glad to share with you that around 102 pre-registered authors are submitted their work in the conferences. However, its about 60 papers are selected and accepted for the conferences. All the papers have been through rigorous review by a panel of reviewers who provide critical comments and corrections, and have contributed substantially to the improvement of the quality of the papers to meet the requirements of International publication standard. We would like to express our sincere gratitude to the Chairman, the distinguished keynote speakers, as well as all the participants. We also want to thank the publisher for publishing the proceedings. May the readers could enjoy the gain some valuable knowledge from it. We are expecting more and more experts and scholars from all over the world to join this international event next year.
2021-02-25 By Tri Lestariningsih

... Process, Analytics, and Technology by Charles W. Chase A Practical Guide to Analytics for Governments: Using Big Data for Good by Marie Lowman Profit ...

Author: Barry DeVille

Publisher: John Wiley & Sons

ISBN: 9781119487128

Category: Computers

Page: 240

View: 594

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Text As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text analytics The need for powerful, accurate and increasingly automatic text analysis software in modern information technology has dramatically increased. Fields as diverse as financial management, fraud and cybercrime prevention, Pharmaceutical R&D, social media marketing, customer care, and health services are implementing more comprehensive text-inclusive, analytics strategies. Text as Data: Computational Methods of Understanding Written Expression Using SAS presents an overview of text analytics and the critical role SAS software plays in combining linguistic and quantitative algorithms in the evolution of this dynamic field. Drawing on over two decades of experience in text analytics, authors Barry deVille and Gurpreet Singh Bawa examine the evolution of text mining and cloud-based solutions, and the development of SAS Visual Text Analytics. By integrating quantitative data and textual analysis with advanced computer learning principles, the authors demonstrate the combined advantages of SAS compared to standard approaches, and show how approaching text as qualitative data within a quantitative analytics framework produces more detailed, accurate, and explanatory results. Understand the role of linguistics, machine learning, and multiple data sources in the text analytics workflow Understand how a range of quantitative algorithms and data representations reflect contextual effects to shape meaning and understanding Access online data and code repositories, videos, tutorials, and case studies Learn how SAS extends quantitative algorithms to produce expanded text analytics capabilities Redefine text in terms of data for more accurate analysis This book offers a thorough introduction to the framework and dynamics of text analytics—and the underlying principles at work—and provides an in-depth examination of the interplay between qualitative-linguistic and quantitative, data-driven aspects of data analysis. The treatment begins with a discussion on expression parsing and detection and provides insight into the core principles and practices of text parsing, theme, and topic detection. It includes advanced topics such as contextual effects in numeric and textual data manipulation, fine-tuning text meaning and disambiguation. As the first resource to leverage the power of SAS for text analytics, Text as Data is an essential resource for SAS users and data scientists in any industry or academic application.
2021-10-05 By Barry DeVille

... Process, Analytics, and Technology by Charles W. Chase A Practical Guide to Analytics for Governments: Using Big Data for Good by Marie Lowman Profit ...

Author: Charles W. Chase

Publisher: John Wiley & Sons

ISBN: 9781119809876

Category: Business & Economics

Page: 272

View: 421

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Discover a new, demand-centric framework for forecasting and demand planning In Consumption-Based Forecasting and Planning, thought leader and forecasting expert Charles W. Chase delivers a practical and novel approach to retail and consumer goods companies demand planning process. The author demonstrates why a demand-centric approach relying on point-of-sale and syndicated scanner data is necessary for success in the new digital economy. The book showcases short- and mid-term demand sensing and focuses on disruptions to the marketplace caused by the digital economy and COVID-19. You’ll also learn: How to improve demand forecasting and planning accuracy, reduce inventory costs, and minimize waste and stock-outs What is driving shifting consumer demand patterns, including factors like price, promotions, in-store merchandising, and unplanned and unexpected events How to apply analytics and machine learning to your forecasting challenges using proven approaches and tactics described throughout the book via several case studies. Perfect for executives, directors, and managers at retailers, consumer products companies, and other manufacturers, Consumption-Based Forecasting and Planning will also earn a place in the libraries of sales, marketing, supply chain, and finance professionals seeking to sharpen their understanding of how to predict future consumer demand.
2021-07-27 By Charles W. Chase

... A Practical Guide to Data and Analytics, Marie Lowman suggests that: To make the case for analytics—convince government and citizens of the need to ...

Author: Mark A. Abramson

Publisher: Rowman & Littlefield

ISBN: 9781538121719

Category: Political Science

Page: 263

View: 664

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In recognition of its 20th anniversary, The IBM Center for the Business of Government offers a retrospective of the most significant changes in government management during that period and looks forward over the next 20 years to offer alternative scenarios as to what government management might look like by the year 2040. Part I will discuss significant management improvements in the federal government over the past 20 years, based in part on a crowdsourced survey of knowledgeable government officials and public administration experts in the field. It will draw on themes and topics examined in the 350 IBM Center reports published over the past two decades. Part II will outline alternative scenarios of how government might change over the coming 20 years. The scenarios will be developed based on a series of envisioning sessions which are bringing together practitioners and academics to examine the future. The scenarios will be supplemented with short essays on various topics. Part II will also include essays by winners of the Center’s Challenge Grant competition. Challenge Grant winners will be awarded grants to identify futuristic visions of government in 2040. Contributions by Mark A. Abramson, David A. Bray, Daniel J. Chenok, Lee Feldman, Lora Frecks, Hollie Russon Gilman, Lori Gordon, John M. Kamensky, Michael J. Keegan, W. Henry Lambright, Tad McGalliard, Shelley H. Metzenbaum, Marc Ott, Sukumar Rao, and Darrell M. West.
2018-09-03 By Mark A. Abramson

This book provides practical know-how on understanding, implementing, and managing main stream social media tools (e.g., blogs and micro-blogs, social network sites, and content communities) from a public sector perspective.

Author: Gohar F. Khan

Publisher: Springer

ISBN: 9789811029424

Category: Business & Economics

Page: 159

View: 99

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This book provides practical know-how on understanding, implementing, and managing main stream social media tools (e.g., blogs and micro-blogs, social network sites, and content communities) from a public sector perspective. Through social media, government organizations can inform citizens, promote their services, seek public views and feedback, and monitor satisfaction with the services they offer so as to improve their quality. Given the exponential growth of social media in contemporary society, it has become an essential tool for communication, content sharing, and collaboration. This growth and these tools also present an unparalleled opportunity to implement a transparent, open, and collaborative government. However, many government organization, particularly those in the developing world, are still somewhat reluctant to leverage social media, as it requires significant policy and governance changes, as well as specific know-how, skills and resources to plan, implement and manage social media tools. As a result, governments around the world ignore or mishandle the opportunities and threats presented by social media. To help policy makers and governments implement a social media driven government, this book provides guidance in developing an effective social media policy and strategy. It also addresses issues such as those related to security and privacy.
2017-02-15 By Gohar F. Khan

A Practical Guide for Local Government David N. Ammons, Dale J. Roenigk ... are among the most useful for the analysis of local government problems, ...

Author: David N. Ammons

Publisher: Routledge

ISBN: 9781000417050

Category: Political Science

Page: 528

View: 536

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This book guides readers to the mastery of a wide array of practical analytic techniques useful to local governments. Written in an easy-to-read style with an emphasis on providing practical assistance to students, local government practitioners, and others interested in local government performance, this updated third edition features analytic methods selected for their relevance to everyday problems encountered in city and county governments. The authors outline a variety of practical techniques including the simplest that the fields of management, public administration, policy analysis, and industrial engineering have to offer. Each analytic technique is introduced in the context of a fictitious case presented over a few pages at the beginning of that technique’s chapter. Contents include demand analysis, work distribution analysis, process flow-charting, inflation adjustments, annualizing capital costs, staffing analysis, identifying full costs of a program or service, present value analysis, life-cycle costing, lease/buy analysis, cost-effectiveness analysis, benchmarking analysis, and more. This updated third edition features a dramatic expansion of Excel-based applications, plus templates and exercises accompanying many of the chapters and available online. New chapters prepare readers to: • use statistical tests to identify significant differences in performance averages; • construct Pareto charts; • develop cause-and-effect diagrams; • prepare control charts; • detect possible discrimination in hiring and appointment practices; and • present analytic evidence more effectively. This book is an essential resource for students and instructors of public administration courses on analysis, methods, evaluation, productivity improvement, and service delivery. Online resources for this book, including Excel templates, are available at https://toolsfordecisionmaking.sog.unc.edu
2021-09-09 By David N. Ammons

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