| business analytics graduate certificate: The Great Cloud Migration Michael C. Daconta, 2013 - Learn how to migrate your applications to the cloud! - Learn how to overcome your senior management's concerns about Cloud Security and Interoperability! - Learn how to explain cloud computing, big data and linked data to your organization! - Learn how to develop a robust Cloud Implementation Strategy! - Learn how a Technical Cloud Broker can ease your migration to the cloud! This book will answer the key questions that every organization is asking about emerging technologies like Cloud Computing, Big Data and Linked Data. Written by a seasoned expert and author/co-author of 11 other technical books, this book deftly guides you with real-world experience, case studies, illustrative diagrams and in-depth analysis. * How do you migrate your software applications to the cloud? This book is your definitive guide to migrating applications to the cloud! It explains all the options, tradeoffs, challenges and obstacles to the migration. It provides a migration lifecycle and process you can follow to migrate each application. It provides in-depth case studies: an Infrastructure-as-a-Service case study and a Platform-as-a-Service case study. It covers the difference between application migration and data migration to the cloud and walks you through how to do both well. It covers migration to all the major cloud providers to include Amazon Web Services (AWS), Google AppEngine and Microsoft Azure. * How do you develop a sound implementation strategy for the migration to the cloud? This book leverages Mr. Daconta's 25 years of leadership experience, from the Military to Corporate Executive teams to the Office of the CIO in the Department of Homeland Security, to guide you through the development of a practical and sound implementation strategy. The book's Triple-A Strategy: Assessment, Architecture then Action is must reading for every project lead and IT manager! * This book covers twenty migration scenarios! Application and data migration to the cloud |
| business analytics graduate certificate: The Customer Centricity Playbook Peter Fader, Sarah E. Toms, 2018-10-30 A 2019 Axiom Business Award winner. In The Customer Centricity Playbook , Wharton School professor Peter Fader and Wharton Interactive's executive director Sarah Toms help you see your customers as individuals rather than a monolith, so you can stop wasting resources by chasing down product sales to each and every consumer. |
| business analytics graduate certificate: The PMI Guide to Business Analysis , 2017-12-22 The Standard for Business Analysis – First Edition is a new PMI foundational standard, developed as a basis for business analysis for portfolio, program, and project management. This standard illustrates how project management processes and business analysis processes are complementary activities, where the primary focus of project management processes is the project and the primary focus of business analysis processes is the product. This is a process-based standard, aligned with A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, and to be used as a standard framework contributing to the business analysis body of knowledge. |
| business analytics graduate certificate: Applied Business Analytics Nathaniel Lin, 2015 Now that you've collected the data and crunched the numbers, what do you do with all this information? How do you take the fruit of your analytics labor and apply it to business decision making? How do you actually apply the information gleaned from quants and tech teams? Applied Business Analytics will help you find optimal answers to these questions, and bridge the gap between analytics and execution in your organization. Nathaniel Lin explains why analytics value chains often break due to organizational and cultural issues, and offers in the trenches guidance for overcoming these obstacles. You'll learn why a special breed of analytics deciders is indispensable for any organization that seeks to compete on analytics; how to become one of those deciders; and how to identify, foster, support, empower, and reward others who join you. Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at every level: from top-level business questions to low-level technical details. Along the way, you'll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes: How analytical and conventional decision making differ -- and the challenging implications How to determine who your analytics deciders are, and ought to be Proven best practices for actually applying analytics to decision-making How to optimize your use of analytics as an analyst, manager, executive, or C-level officer |
| business analytics graduate certificate: How to Start a Business Analyst Career Laura Brandenburg, 2015-01-02 You may be wondering if business analysis is the right career choice, debating if you have what it takes to be successful as a business analyst, or looking for tips to maximize your business analysis opportunities. With the average salary for a business analyst in the United States reaching above $90,000 per year, more talented, experienced professionals are pursuing business analysis careers than ever before. But the path is not clear cut. No degree will guarantee you will start in a business analyst role. What's more, few junior-level business analyst jobs exist. Yet every year professionals with experience in other occupations move directly into mid-level and even senior-level business analyst roles. My promise to you is that this book will help you find your best path forward into a business analyst career. More than that, you will know exactly what to do next to expand your business analysis opportunities. |
| business analytics graduate certificate: Healthcare Data Analytics Chandan K. Reddy, Charu C. Aggarwal, 2015-06-23 At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available |
| business analytics graduate certificate: Technological Innovation Marie C. Thursby, 2016-08-23 This is the 2nd edition of Technological Innovation. Profiting from technological innovation requires scientific and engineering expertise, and an understanding of how business and legal factors facilitate commercialization. This volume presents a multidisciplinary view of issues in technology commercialization and entrepreneurship. |
| business analytics graduate certificate: Essentials of Business Statistics Ken Black, Ignacio Castillo, Amy Goldlist, Timothy Edmunds, 2018-05-08 Essentials of Business Statistics offers a student-friendly, applications-based approach to teaching a course that is generally perceived as being very technical. Students learn how and why statistical tools are used and benefit from a walk-through approach where new concepts are applied to clear examples. |
| business analytics graduate certificate: Catholic School Leadership Anthony J. Dosen, Barbara S. Rieckhoff, 2016-01-01 The administration of Pre K – 12 Catholic schools becomes more challenging each year. Catholic school leaders not only have the daunting task of leading a successful learning organization, but also to serve as the school community’s spiritual leader and the vigilant steward who keeps the budget balanced, the building clean, and maintaining a healthy enrollment in the school. Each of these tasks can be a full time job, yet the Catholic school principal takes on these tasks day after day, year after year, so that teachers may teach as Jesus did. The goal of this book is to provide both beginning and seasoned Catholic school leaders with some insights that might help them to meet these challenges with a sense of confidence. The words in this text provide research?based approaches for dealing with issues of practice, especially those tasks that are not ordinarily taught in educational leadership programs. This text helps to make sense of the pastoral side of Catholic education, in terms of structures, mission, identity, curriculum, and relationships with the principal’s varied constituencies. It also provides some insights into enrollment management issues, finances and development, and the day in day out care of the organization and its home, the school building. As a Catholic school leader, each must remember that the Catholic school is not just another educational option. The Catholic school has a rich history and an important mission. Historically, education of the young goes back to the monastic and cathedral schools of the Middle Ages. In the United States, Catholic schools developed as a response to anti?Catholic bias that was rampant during the nineteenth century. Catholic schools developed to move their immigrant and first generation American youth from the Catholic ghetto to successful careers and lives in the American mainstream. However, most importantly, Catholic schools have brought Christ to generations of youngsters. It remains the continuing call of the Catholic school to be a center of Evangelization—a place where Gospel values live in the lives of faculty, students and parents. This text attempts to integrate the unique challenges of the instructional leader of the institution with the historical and theological underpinnings of contemporary Catholic education. |
| business analytics graduate certificate: Business Analytics Jay Liebowitz, 2013-12-19 Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making cap |
| business analytics graduate certificate: Machine, Platform, Crowd: Harnessing Our Digital Future Andrew McAfee, Erik Brynjolfsson, 2017-06-27 “A clear and crisply written account of machine intelligence, big data and the sharing economy. But McAfee and Brynjolfsson also wisely acknowledge the limitations of their futurology and avoid over-simplification.” —Financial Times In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help readers make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments. |
| business analytics graduate certificate: Competing on Analytics Thomas H. Davenport, Jeanne G. Harris, 2007-03-06 You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics. |
| business analytics graduate certificate: 2022 CFA Program Curriculum Level I Box Set CFA Institute, 2021-05-04 Prepare for success on the 2022 CFA Level I exam with the latest official CFA® Program Curriculum. The 2022 CFA Program Curriculum Level I Box Set contains all the material you need to succeed on the Level I CFA exam in 2022. This set includes the full official curriculum for Level I and is part of the larger CFA Candidate Body of Knowledge (CBOK). Highly visual and intuitively organized, this box set allows you to: Learn from financial thought leaders. Access market-relevant instruction. Gain critical knowledge and skills. The set also includes practice questions to assist with your recall of key terms, concepts, and formulas. Perfect for anyone preparing for the 2022 Level I CFA exam, the 2022 CFA Program Curriculum Level I Box Set is a must-have resource for those seeking the foundational skills required to become a Chartered Financial Analyst®. |
| business analytics graduate certificate: Graduate Programs in Business, Education, Information Studies, Law & Social Work 2014 (Grad 6) Peterson's, 2013-12-20 Peterson's Graduate Programs in Business, Education, Information Studies, Law & Social Work 2014 contains comprehensive profiles of more than 11,000 graduate programs in disciplines such as, accounting & finance, business administration & management, education, human resources, international business, law, library & information studies, marketing, social work, transportation management, and more. Up-to-date info, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable data on degree offerings, professional accreditation, jointly offered degrees, part-time & evening/weekend programs, postbaccalaureate distance degrees, faculty, students, requirements, expenses, financial support, faculty research, and unit head and application contact information. There are helpful links to in-depth descriptions about a specific graduate program or department, faculty members and their research, and more. Also find valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
| business analytics graduate certificate: Financial Risk Management Allan M. Malz, 2011-09-13 Financial risk has become a focus of financial and nonfinancial firms, individuals, and policy makers. But the study of risk remains a relatively new discipline in finance and continues to be refined. The financial market crisis that began in 2007 has highlighted the challenges of managing financial risk. Now, in Financial Risk Management, author Allan Malz addresses the essential issues surrounding this discipline, sharing his extensive career experiences as a risk researcher, risk manager, and central banker. The book includes standard risk measurement models as well as alternative models that address options, structured credit risks, and the real-world complexities or risk modeling, and provides the institutional and historical background on financial innovation, liquidity, leverage, and financial crises that is crucial to practitioners and students of finance for understanding the world today. Financial Risk Management is equally suitable for firm risk managers, economists, and policy makers seeking grounding in the subject. This timely guide skillfully surveys the landscape of financial risk and the financial developments of recent decades that culminated in the crisis. The book provides a comprehensive overview of the different types of financial risk we face, as well as the techniques used to measure and manage them. Topics covered include: Market risk, from Value-at-Risk (VaR) to risk models for options Credit risk, from portfolio credit risk to structured credit products Model risk and validation Risk capital and stress testing Liquidity risk, leverage, systemic risk, and the forms they take Financial crises, historical and current, their causes and characteristics Financial regulation and its evolution in the wake of the global crisis And much more Combining the more model-oriented approach of risk management-as it has evolved over the past two decades-with an economist's approach to the same issues, Financial Risk Management is the essential guide to the subject for today's complex world. |
| business analytics graduate certificate: FabJob Guide to Become a Business Consultant Craig Coolahan, Tag Goulet, Marg Archibald, 2012-08 |
| business analytics graduate certificate: Digital Qualitative Research Methods Bella Dicks, 2012 Collecting together the most important and influential articles that have been published in the field of digital qualitative research methods, these volumes enables the reader to understand the implications of digital technology for all aspects and phases of qualitative research design and dissemination. |
| business analytics graduate certificate: Learning How to Learn Barbara Oakley, PhD, Terrence Sejnowski, PhD, Alistair McConville, 2018-08-07 A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course Learning How to Learn have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid rut think in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun. |
| business analytics graduate certificate: Reshaping Society through Analytics, Collaboration, and Decision Support Lakshmi S. Iyer, Daniel J. Power, 2014-12-04 This volume explores emerging research and pedagogy in analytics, collaboration, and decision support with an emphasis on business intelligence and social media. In general, the chapters help understand where technology involvement in human decisions is headed. Reading the chapters can help understand the opportunities and threats associated with the use of information technology in decision making. Computing and information technologies are reshaping our global society, but they can potentially reshape it in negative as well as positive ways. Analytics, collaboration and computerized decision support are powerful decision aiding and decision making tools that have enormous potential to impact crisis decision making, regulation of financial systems, healthcare decision making and many more important decision domains. Many information technologies can potentially support, assist and even decide for human decision makers. Despite the potential, some researchers think that we know the answers to how these technologies will change society. The Wisdom of Crowds or Big Data become the topic of the day and are soon replaced with new marketing terms. In many ways, mobile technology is just another form factor to adapt decision support capabilities too and experiment with new capabilities. The cloud is a nebulous metaphor that adds to the mystery of information technology. Wireless technology enables the ubiquitous presence of analytics and decision support. With new networking capabilities, collaboration is possible anywhere and everywhere using voice, video and text. Documents can be widely shared and massive numbers of documents can be carried on a small tablet computer. Recent developments in technologies impact the processes organizations use to make decisions. In addition, academics are looking for ways to enhance their pedagogy to train students to be more adept in understanding how emerging technology will be used effectively for decision making in organizations. The chapters are based on papers originally reviewed at the Special Interest Group on Decision Support Systems (SIGDSS) Workshop at the 2013 International Conference on Information Systems (ICIS 2013). Ultimately this volume endeavors to find a balance between systematizing what we know, so we can teach our findings from prior research better, and stimulating excitement to move the field in new directions. |
| business analytics graduate certificate: SAS Visual Analytics for SAS Viya SAS, 2020-12-07 Discover your data and create reports in an elegant and intuitive web-based interface! SAS Visual Analytics for SAS Viya is a practical guide designed to get you started investigating your data and creating reports with SAS Visual Analytics, a web-based tool that enables you to explore huge volumes of data to identify patterns, trends, and opportunities. Learn how to report, share, and collaborate on insights from data with no SAS programming skills necessary – this book is accessible to all, including decision makers, business analysts, report creators, and citizen data scientists. SAS Visual Analytics for SAS Viya first introduces the basics needed to prepare and explore your data, make discoveries, and create a report in SAS Visual Analytics. Then, the second section describes more advanced topics, such as using automated explanation and creating advanced interactive reports with parameters. The book covers: Adding and manipulating data items within SAS Visual Analytics Analyzing data with SAS Visual Analytics Designing and sharing reports using SAS Visual Analytics Demonstrations and practices are included for you to follow to gain hands-on experience with SAS Visual Analytics, and the data sets used in the book are also provided to download. |
| business analytics graduate certificate: Customer Centricity Peter Fader, 2012 Not all customers are created equal. Despite what the tired old adage says, the customer is not always right. Not all customers deserve your best efforts: in the world of customer centricity, there are good customers...and then there is pretty much everybody else. Upending some of our most fundamental beliefs, renowned behavioral data expert Peter Fader, Co-Director of The Wharton Customer Analytics Initiative, helps businesses radically rethink how they relate to customers. He provides insights to help you revamp your performance metrics, product development, customer relationship management and organization in order to make sure you focus directly on the needs of your most valuable customers and increase profits for the long term. |
| business analytics graduate certificate: Guide to Business Data Analytics Iiba, 2020-08-07 The Guide to Business Data Analytics provides a foundational understanding of business data analytics concepts and includes how to develop a framework; key techniques and application; how to identify, communicate and integrate results; and more. This guide acts as a reference for the practice of business data analytics and is a companion resource for the Certification in Business Data Analytics (IIBA(R)- CBDA). Explore more information about the Certification in Business Data Analytics at IIBA.org/CBDA. About International Institute of Business Analysis International Institute of Business Analysis(TM) (IIBA(R)) is a professional association dedicated to supporting business analysis professionals deliver better business outcomes. IIBA connects almost 30,000 Members, over 100 Chapters, and more than 500 training, academic, and corporate partners around the world. As the global voice of the business analysis community, IIBA supports recognition of the profession, networking and community engagement, standards and resource development, and comprehensive certification programs. IIBA Publications IIBA publications offer a wide variety of knowledge and insights into the profession and practice of business analysis for the entire business community. Standards such as A Guide to the Business Analysis Body of Knowledge(R) (BABOK(R) Guide), the Agile Extension to the BABOK(R) Guide, and the Global Business Analysis Core Standard represent the most commonly accepted practices of business analysis around the globe. IIBA's reports, research, whitepapers, and studies provide guidance and best practices information to address the practice of business analysis beyond the global standards and explore new and evolving areas of practice to deliver better business outcomes. Learn more at iiba.org. |
| business analytics graduate certificate: The AI Advantage Thomas H. Davenport, 2019-08-06 Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review. |
| business analytics graduate certificate: Graduate Programs in Business, Education, Information Studies, Law & Social Work 2015 (Grad 6) Peterson's, 2014-12-30 Graduate Programs in Business, Education, Information Studies, Law & Social Work 2015 contains helpful facts and figures on more than 11,000 graduate programs. The comprehensive directory includes more than 1,850 institutions and their programs in all of the relevant disciplines such as accounting and finance, business management, education, law, library and information sciences, marketing, social work, and many more. Informative data profiles feature facts and figures on accreditation, degree requirements, application deadlines, contact information, financial support, faculty, and student body profiles. Two-page in-depth descriptions, written by featured institutions, offer complete details on 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 graduate series. |
| business analytics graduate certificate: Business Analytics Jay Liebowitz, 2013-12-19 Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making cap |
| business analytics graduate certificate: Law and Policy for the Quantum Age Chris Jay Hoofnagle, Simson L. Garfinkel, 2022-01-06 The Quantum Age cuts through the hype to demystify quantum technologies, their development paths, and the policy issues they raise. |
| business analytics graduate certificate: SAS Certified Specialist Prep Guide SAS Institute, 2019-02-11 The SAS® Certified Specialist Prep Guide: Base Programming Using SAS® 9.4 prepares you to take the new SAS 9.4 Base Programming -- Performance-Based Exam. This is the official guide by the SAS Global Certification Program. This prep guide is for both new and experienced SAS users, and it covers all the objectives that are tested on the exam. New in this edition is a workbook whose sample scenarios require you to write code to solve problems and answer questions. Answers for the chapter quizzes and solutions for the sample scenarios in the workbook are included. You will also find links to exam objectives, practice exams, and other resources such as the Base SAS® glossary and a list of practice data sets. Major topics include importing data, creating and modifying SAS data sets, and identifying and correcting both data syntax and programming logic errors. All exam topics are covered in these chapters: Setting Up Practice Data Basic Concepts Accessing Your Data Creating SAS Data Sets Identifying and Correcting SAS Language Errors Creating Reports Understanding DATA Step Processing BY-Group Processing Creating and Managing Variables Combining SAS Data Sets Processing Data with DO Loops SAS Formats and Informats SAS Date, Time, and Datetime Values Using Functions to Manipulate Data Producing Descriptive Statistics Creating Output Practice Programming Scenarios (Workbook) |
| business analytics graduate certificate: Data Mining for Business Analytics Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel, 2019-10-14 Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R |
| business analytics graduate certificate: Big Data and Business Analytics Jay Liebowitz, 2016-04-19 The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of big data, it becomes vitally important for organizations to mak |
| business analytics graduate certificate: Business Analytics and Statistics, 2nd Edition Ken Black, John Asafu-Adjaye, Paul Burke, Nazim Khan, Gerard King, Nelson Perera, Andrew Papadimos, Carl Sherwood, Saleh Wasimi, 2024-04-08 Written for the Australian and New Zealand markets, the second edition of Business Analytics & Statistics (Black et al.) presents statistics in a cutting-edge interactive digital format designed to motivate students by taking the road blocks out of self-study and to facilitate master through drill-and-skill practice. |
| business analytics graduate certificate: Data Science Careers, Training, and Hiring Renata Rawlings-Goss, 2019-08-02 This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build. |
| business analytics graduate certificate: Machine Learning for Business Analytics Galit Shmueli, Peter C. Bruce, Kuber R. Deokar, Nitin R. Patel, 2023-03-28 MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning—also known as data mining or predictive analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver® Data Mining provides a comprehensive introduction and an overview of this methodology. The fourth edition of this best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, time series forecasting and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This fourth edition of Machine Learning for Business Analytics also includes: An expanded chapter on deep learning A new chapter on experimental feedback techniques, including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology. |
| business analytics graduate certificate: SAS Certification Prep Guide Sas Institute, 2017-12-22 Prepare for the SAS Base Programming for SAS 9 exam with the official guide by the SAS Global Certification Program. New and experienced SAS users who want to prepare for the SAS Base Programming for SAS 9 exam will find this guide to be an invaluable, convenient, and comprehensive resource that covers all of the objectives tested on the exam. Now in its fourth edition, the guide has been extensively updated, and revised to streamline explanations. Major topics include importing and exporting raw data files, creating and modifying SAS data sets, and identifying and correcting data syntax and programming logic errors. The chapter quizzes have been thoroughly updated and full solutions are included at the back of the book. In addition, links are provided to the exam objectives, practice exams, and other helpful resources, such as the updated Base SAS glossary and an expanded collection of practice data sets. |
| business analytics graduate certificate: Guide to Product Ownership Analysis Iiba, 2021-05-13 Product Ownership Analysis (POA) is a discipline that can be used to assist teams in creating and delivering exceptional products and services for their customers. The Guide to Product Ownership Analysis provides a foundational understanding of the Product Ownership Analysis discipline and outlines a defined framework, techniques, and case studies for practical application. Look for the Certification for POA at IIBA.org. |
| business analytics graduate certificate: Self-Service Analytics Simplified Arshad Khan, 2019-07-11 |
| business analytics graduate certificate: The Complete Business Process Handbook Mark Von Rosing, Henrik von Scheel, August-Wilhelm Scheer, 2014-12-06 The Complete Business Process Handbook is the most comprehensive body of knowledge on business processes with revealing new research. Written as a practical guide for Executives, Practitioners, Managers and Students by the authorities that have shaped the way we think and work with process today. It stands out as a masterpiece, being part of the BPM bachelor and master degree curriculum at universities around the world, with revealing academic research and insight from the leaders in the market. This book provides everything you need to know about the processes and frameworks, methods, and approaches to implement BPM. Through real-world examples, best practices, LEADing practices and advice from experts, readers will understand how BPM works and how to best use it to their advantage. Cases from industry leaders and innovators show how early adopters of LEADing Practices improved their businesses by using BPM technology and methodology. As the first of three volumes, this book represents the most comprehensive body of knowledge published on business process. Following closely behind, the second volume uniquely bridges theory with how BPM is applied today with the most extensive information on extended BPM. The third volume will explore award winning real-life examples of leading business process practices and how it can be replaced to your advantage. Learn what Business Process is and how to get started Comprehensive historical process evolution In-depth look at the Process Anatomy, Semantics and Ontology Find out how to link Strategy to Operation with value driven BPM Uncover how to establish a way of Thinking, Working, Modelling and Implementation Explore comprehensive Frameworks, Methods and Approaches How to build BPM competencies and establish a Center of Excellence Discover how to apply Social BPM, Sustainable and Evidence based BPM Learn how Value & Performance Measurement and Management Learn how to roll-out and deploy process Explore how to enable Process Owners, Roles and Knowledge Workers Discover how to Process and Application Modelling Uncover Process Lifecycle, Maturity, Alignment and Continuous Improvement Practical continuous improvement with the way of Governance Future BPM trends that will affect business Explore the BPM Body of Knowledge |
| business analytics graduate certificate: Essentials of Business Analytics Bhimasankaram Pochiraju, Sridhar Seshadri, 2019-07-10 This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter. |
| business analytics graduate certificate: Graduate Schools in the U.S. 2011 Peterson's, 2010-07-01 Peterson's Graduate Schools in the U.S. is the snapshot paperback version of the hardcover Peterson's Graduate & Professional Programs: An Overview (book one of the six-volume hardcover Grad series). This book includes articles with information on how to finance a graduate education, tips on choosing the right program, and why accreditation is important. It has up-to-date information on hundreds of U.S. institutions that offer master's and doctoral degree programs in a wide range of fields--from accounting to zoology--with facts and figures on enrollment, faculty, computer and library facilities, expenses, and contact information. The program listings are searchable by state or filed and includes an alphabetical school index. |
| business analytics graduate certificate: Data-Driven Intelligent Business Sustainability Singh, Sonia, Rajest, S. Suman, Hadoussa, Slim, Obaid, Ahmed J., Regin, R., 2023-12-05 Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success. |
| business analytics graduate certificate: CAREER GUIDANCE RAJU S. MULEY, 2020-05-25 This book is the most well- organised ,useful and up to date about career guidance for all students.Covering more than 100 topics in fields that range from school to college .Students can check at a glance summary for choosen careers to learn about career paths ,examinations and more.Today, We live and breathe in the information age where all knowledge is at our fingertips, but students get confused choosing career from the wide array of career fields available after 10th &12th standard. All the career options have been given in this book. I have included here- 1. Choosing a Career---------------------------------------------------------------------------------------------1 2. After 10th Standard ------------------------------------------------------------------5 2.1 HSC--------------------------------------------------------------------------------------------------------------------5 2.2. Diploma in Engineering (Polytechnic)----------------------------------------------------------------7 2.3. ITI----------------------------------------------------------------------------------------------------------------------10 2.4. PARAMEDICAL---------------------------------------------------------------------------------------------------11 3. After 12th Standard (Undergraduate Courses) ------------------------------------15 3.1. Engineering( B.E. / B.Tech)-------------------------------------------------------------------------------15 3.2. Medical (M.B.B.S. / B.D.S. / B.A.M.S.)---------------------------------------------------------------18 3.3. Pharmacy(B.Pharm)------------------------------------------------------------------------------------------22 3.4. Paramedical (B.P.T.)-------------------------------------------------------------------------------------------25 3.5. Biotechnology (Biotech)-------------------------------------------------------------------------------------27 3.6. Architecture (B.Arch) ----------------------------------------------------------------------------------------30 3.7. Nursing (B.Sc)----------------------------------------------------------------------------------------------------33 3.8. Agricultures (B.Sc Agri.)-------------------------------------------------------------------------------------35 3.9. B.B.A. Or B.M.S---------------------------------------------------------------------------------------------------39 3.10.B.C.A. (Computer)---------------------------------------------------------------------------------------------40 3.11. Law (L.L.B.)-------------------------------------------------------------------------------------------------------42 3.12. Bachelor of Design (B.Des)-------------------------------------------------------------------------------45 3.13. Science (B.Sc)---------------------------------------------------------------------------------------------------47 3.14. Bachelor of Mass Communication (B.M.C.)------------------------------------------------------49 3.15. Fishery (B.F.Sc)--------------------------------------------------------------------------------------------------51 3.16. Commerce (B.Com)-------------------------------------------------------------------------------------------54 4. After Graduation-------------------------------------------------------------------------59 4.1. Engineering (M.E. /M.Tech / M.S.)--------------------------------------------------------------------------59 4.2 Medical (M.D. / M.S./M.D.S./ D.N.B.------------------------------------------------------------------------63 4.3. Pharmacy (M.Pharm)-----------------------------------------------------------------------------------------------69 4.4. Nursing (M.Sc)---------------------------------------------------------------------------------------------------------71 4.5. Paramedical-------------------------------------------------------------------------------------------------------------73 4.6. Biotechnology (M.Sc Biotech)----------------------------------------------------------------------------------76 4.7. Architecture (M.Arch)-----------------------------------------------------------------------------------------------78 4.8. Agriculture (M.Sc Agri.)--------------------------------------------------------------------------------------------81 4.9. M.B.A. or M.M.S.-------------------------------------------------------------------------------------------------------84 4.10. M.C.A. (Computer)--------------------------------------------------------------------------------------------------87 4.11. Master of Design (M.Des.)--------------------------------------------------------------------------------------89 4.12. Law (L.L.M.)------------------------------------------------------------------------------------------------------------92 4.13. Fishery (M.F.Sc)------------------------------------------------------------------------------------------------------94 4.14. Science (M.Sc)--------------------------------------------------------------------------------------------------------96 5. Career in Research & Development------------------------------------------------------99 5.1. About Ph.D---------------------------------------------------------------------------------------------------------------------------------------99 5.2. Kishore Vaigyanik Protsahan Yojana (KVPY)----------------------------------------------------------------------------------101 5.3. ISRO------------------------------------------------------------------------------------------------------------------------------------------------103 5.4. DRDO-----------------------------------------------------------------------------------------------------------------------------------------------106 5.5. ICMR------------------------------------------------------------------------------------------------------------------------------------------------108 5.6. CSIR-------------------------------------------------------------------------------------------------------------------------------------------------110 5.7. BARC------------------------------------------------------------------------------------------------------------------------------------------------114 6. Diploma Courses After PG------------------------------------------------------------------------------117 6.1. Science Stream---------------------------------------------------------------------------------------------------------------------------117 6.1.1. Skin (Dermatology & Venereology, Leprosy)-----------------------------------------------------------------------------117 6.1.2. Gynaecology & Obstetrics---------------------------------------------------------------------------------------------------------120 6.1.3. Clinical Pathology----------------------------------------------------------------------------------------------------------------------122 6.1.4. Child Health (Pediatrics)------------------------------------------------------------------------------------------------------------124 6.1.5. Microbiology-------------------------------------------------------------------------------------------------------------------------------126 6.1.6. Anesthesia----------------------------------------------------------------------------------------------------------------------------------128 6.2. Arts Stream--------------------------------------------------------------------------------------------------------------------------------------129 6.2.1. Clinical Psychology & Psychiatry---------------------------------------------------------------------------------------------129 6.2.2. Acting and Modeling ---------------------------------------------------------------------------------------------------------------131 6.3. Commerce Stream----------------------------------------------------------------------------------------------------------------------------132 6.3.1 Financial Services---------------------------------------------------------------------------------------------------------------------------132 6.3.2. Taxation------------------------------------------------------------------------------------------------------------------------------------------134 6.3.3. Accountancy-----------------------------------------------------------------------------------------------------------------------------------135 6.3.4. Statistics-----------------------------------------------------------------------------------------------------------------------------------------136 7. Common Courses ----------------------------------------------------------------------------------------139 7.1. Hotel Management-------------------------------------------------------------------------------------------------------------------------139 7.2. Nursing (Diploma)---------------------------------------------------------------------------------------------------------------------------141 7.3. Health Education ----------------------------------------------------------------------------------------------------------------------------143 7.4. Nutrition & Dietitian-------------------------------------------------------------------------------------------------------------------------145 7.5. Hospital Administration ------------------------------------------------------------------------------------------------------------------146 7.6. Mental Health-----------------------------------------------------------------------------------------------------------------------------------148 7.7. Medical Lab Technology ------------------------------------------------------------------------------------------------------------------151 7.8. Speech Therapy & Adiology -------------------------------------------------------------------------------------------------------------153 7.9. Camera Journalism--------------------------------------------------------------------------------------------------------------------------155 7.10. Dental Mechanics---------------------------------------------------------------------------------------------------------------------------156 7.11. Radiography------------------------------------------------------------------------------------------------------------------------------------158 7.12. Fitness Trainer---------------------------------------------------------------------------------------------------------------------------------160 7.13. Web & Multimedia Technology--------------------------------------------------------------------------------------------------------161 7.14. Career in Yoga----------------------------------------------------------------------------------------------------------------------------------162 7.15. Fashion Technology & Textile Designing------------------------------------------------------------------------------------------164 7.16. Travel and Tourism Management ----------------------------------------------------------------------------------------------------166 7.17. Animation-----------------------------------------------------------------------------------------------------------------------------------------168 7.18. Ayurvedic Medicine -------------------------------------------------------------------------------------------------------------------------169 7.19. Rural Development --------------------------------------------------------------------------------------------------------------------------170 7.20. Jewellery Designing ------------------------------------------------------------------------------------------------------------------------172 7.21. Make up Artist & Cosmetology---------------------------------------------------------------------------------------------------------173 8. Career In Film Industry-----------------------------------------------------------------------------------------------------------------------------177 9. Special Recruitment In Defence---------------------------------------------------------------------------------------------------------------183 9.1. Indian Army---------------------------------------------------------------------------------------------------------------------------------------186 9.2. Indian Navy----------------------------------------------------------------------------------------------------------------------------------------188 9.3. Indian Airforce-----------------------------------------------------------------------------------------------------------------------------------190 9.4. CBI & CID-------------------------------------------------------------------------------------------------------------------------------------------193 9.5. State Police---------------------------------------------------------------------------------------------------------------------------------------195 9.6. Railway Protection Force (RPF)---------------------------------------------------------------------------------------------------------197 9.7. Indian Coast Guard----------------------------------------------------------------------------------------------------------------------------199 10. Important Competative Examination In India--------------------------203 10.1. Union Public Service Commission (UPSC)-----------------------------------204 10.2. Maharashtra Public Service Commission (MPSC)-----------------------------------212 10.3. Graduate Aptitude Test in Engineering (GATE)--------------------------------214 10.4. Staff Selection Commission (SSC)---219 10.5. Railway Recruitment Board (RRB)--223 10.6. Indian Institute Of Technology, Joint Entrance Examination (IIT-JEE)--------------------------------------------226 10.7. Indian Institute Of Technology, Joint Admission Test---------229 10.8. National Eligibility Cum-Entrance Test (NEET)---------------231 10.9.The National Aptitude Test in Architecture (NATA)--------233 10.10. Common Admission Test (CAT)-----------------------------235 10.11. Management Aptitude Test (MAT)-------------------------237 10.12. Engineering Services Examinations (ESE):IES----------238 10.13. Graduate Record Examination (GRE)----------------------243 10.14. Graduate Pharmacy Aptitude Test (GPAT)------------------245 10.15. Common Law Admission Test (CLAT)-----------------------247 10.16. Chartered Accountant- Common Proficiency Test (CA-CPT)---249 10.17. LIC-GIC------------------------------------------------------------------250 10.18. All India Merchant Navy Entrance Test (AIMNET)---------------252 10.19. Maharashtra Council of Agricultural Education & Research (MCAER): CET-254 10.20. Maharashtra Common Entrance Test (MH-CET)-----------------------------255 10.21. Combined Defence Services (CDS)-------------------------------------------257 10.22. National Defence Academy (NDA)------------------------------------------258 10.23. Common Entrance Examination for Design (CEED)------------------260 10.24. UCEED------------------------------------------------------------------------261 10.25. Undergraduate Aptitude Test (UGAT)-----------------------------------262 10.26. AFCAT--------------------------------------------------------------------------264 10.27. All India Institute of Medical Sciences (AIIMS)--------------------------267 10.28. Central Armed Police Force (CAPF)----------------------------------------268 10.29. BSNL (JTO/MT/JE)-----------------------------------------------------------270 10.30. Scholastic Assessment Test (SAT)---------------------------------------------273 10.31. National Eligibility Test (NET)------------------------------------------------275 10.32. SNAP------------------------------------------------------------------------------276 10.33. State Eligibility Test ( SET)----------------------------------------------------278 10.34. Graduate Management Admission Test (GMAT)--------------------------280 10.35. TOEFL---------------------------------------------------------------------------282 10.36. Banking Recruitment----------------------------------------------------------283 10.36.1. State Bank Of India(SBI)-------------------------------------------------------283 10.36.2. The Institute Of Banking Personal Selection (IBPS)-------------------------285 10.36.3. Reserve Bank Of India (RBI)---------------------------------------------------287 10.36.4. NABARD----------------------------------------------------------------------------289 11. Career in Marine/Shipping-----------------------------------------------291 12. How to become a pilot?--------------------------------------------------297 13. Career In Sports-----------------------------------------------------------301 14.Government Scholarships/Educational Loan----------------------------305 15. Personality Development-------------------------------------------------313 15.1. Body Language------------------------------------------------------------------------------314 15.2. Concentration--------------------------------------------------------------------------------316 15.3. Shyness -----------------------------------------------------------------------------------------317 15.4. Public Speaking -----------------------------------------------------------------------------319 15.5. Soft Skills & Hard Skills ------------------------------------------------------------------320 15.6. Going to Interview---------------------------------------------------------------------------322 16. How to study?---------------------------------------------------------------325 17. Mind & Body-----------------------------------------------------------------331 17.1. Mind----------------------------------------------------------------------------------------------------331 17.2. Body-----------------------------------------------------------------------------------------------------334 18. Motivational/ Inspirational Stories-----------------------------------------335 19. Important Websites----------------------------------------------------------341 20. Abbreviations-----------------------------------------------------------------345 |
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….
