| business analytics in real estate: Real Estate Analysis in the Information Age Kimberly Winson-Geideman, Andy Krause, Clifford A. Lipscomb, Nick Evangelopoulos, 2017-11-09 The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This ‘Big Data’ phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to substantial innovation in the collection, storage, management, and analysis of data. Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling focuses on the real estate discipline, guiding researchers and practitioners alike on the use of data-centric methods and analysis from applied and theoretical perspectives. In it, the authors detail the integration of Big Data into conventional real estate research and analysis. The book is process-oriented, not only describing Big Data and associated methods, but also showing the reader how to use these methods through case studies supported by supplemental online material. The running theme is the construction of efficient, transparent, and reproducible research through the systematic organization and application of data, both traditional and 'big'. The final chapters investigate legal issues, particularly related to those data that are publicly available, and conclude by speculating on the future of Big Data in real estate. |
| business analytics in real estate: Business Geography and New Real Estate Market Analysis Grant Ian Thrall, 2002-04-18 This work focuses on integrating land-use location science with the technology of geographic information systems (GIS). The text describes the basic principles of location decision and the means for applying them in order to improve the real estate decision. |
| business analytics in real estate: Market Analysis for Real Estate Rena Mourouzi-Sivitanidou, 2020-08-06 Market Analysis for Real Estate is a comprehensive introduction to how real estate markets work and the analytical tools and techniques that can be used to identify and interpret market signals. The markets for space and varied property assets, including residential, office, retail, and industrial, are presented, analyzed, and integrated into a complete understanding of the role of real estate markets within the workings of contemporary urban economies. Unlike other books on market analysis, the economic and financial theory in this book is rigorous and well integrated with the specifics of the real estate market. Furthermore, it is thoroughly explained as it assumes no previous coursework in economics or finance on the part of the reader. The theoretical discussion is backed up with numerous real estate case study examples and problems, which are presented throughout the text to assist both student and teacher. Including discussion questions, exercises, several web links, and online slides, this textbook is suitable for use on a variety of degree programs in real estate, finance, business, planning, and economics at undergraduate and MSc/MBA level. It is also a useful primer for professionals in these disciplines. |
| business analytics in real estate: Private Real Estate Investment Roger J. Brown, 2005-03-29 Fiduciary responsibilities and related court-imposed liabilities have forced investors to assess market conditions beyond gut level, resulting in the development of sophisticated decision-making tools. Roger Brown's use of historical real estate data enables him to develop tools for gauging the impact of circumstances on relative risk. His application of higher level statistical modeling to various aspects of real estate makes this book an essential partner in real estate research. Offering tools to enhance decision-making for consumers and researchers in market economies of any country interested in land use and real estate investment, his book will improve real estate market efficiency. With property the world's biggest asset class, timely data on housing prices just got easier to find and use. - Excellent mixture of theory and application - Data and database analysis techniques are the first of their kind |
| business analytics in real estate: Applied Quantitative Analysis for Real Estate Sotiris Tsolacos, Mark Andrew, 2020-09-23 To fully function in today’s global real estate industry, students and professionals increasingly need to understand how to implement essential and cutting-edge quantitative techniques. This book presents an easy-to-read guide to applying quantitative analysis in real estate aimed at non-cognate undergraduate and masters students, and meets the requirements of modern professional practice. Through case studies and examples illustrating applications using data sourced from dedicated real estate information providers and major firms in the industry, the book provides an introduction to the foundations underlying statistical data analysis, common data manipulations and understanding descriptive statistics, before gradually building up to more advanced quantitative analysis, modelling and forecasting of real estate markets. Our examples and case studies within the chapters have been specifically compiled for this book and explicitly designed to help the reader acquire a better understanding of the quantitative methods addressed in each chapter. Our objective is to equip readers with the skills needed to confidently carry out their own quantitative analysis and be able to interpret empirical results from academic work and practitioner studies in the field of real estate and in other asset classes. Both undergraduate and masters level students, as well as real estate analysts in the professions, will find this book to be essential reading. |
| business analytics in real estate: Data Analysis for Business, Economics, and Policy Gábor Békés, Gábor Kézdi, 2021-05-06 A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data. |
| business analytics in real estate: Commercial Real Estate David Geltner, Norman G. Miller, Dr. Jim Clayton, Piet Eichholtz, 2014 Rev. ed. of: Commercial real estate analysis and investments / David M. Geltner ... [et al.]. Mason, Ohio: Thompson South-Western, c2007. |
| business analytics in real estate: Building Information Modeling Dana K. Smith, Michael Tardif, 2012-04-23 The optimal approach to design, build, operate, and maintainbuildings With this strategic guide to building information modeling(BIM), you’ll learn how to implement this new technology aspart of a comprehensive systems approach to the design,construction, management, operation, maintenance, and use ofbuildings. The authors, among the leading experts andpioneers in BIM, show you how BIM supports more streamlined,integrated, and efficient business processes throughout the lifecycle of buildings, from their initial conception through theireventual retirement or reuse. The result is better qualitybuildings, lower construction and operating costs, shorter projectturnaround times, and a higher quality of building information tosupport better business decisions. Moreover, they set forth aplan for incorporating BIM into every organization’s existingworkflows, enabling you to take full advantage of all the benefitsthat BIM offers. Everything you need to implement a BIM approach is setforth in detail, including: The business case for BIM, demonstrating how it can improvecollaboration, facilitate better design and construction, optimizeworkflow, and help reduce risk Guidance for meeting the challenges of BIM such as anentrenched business culture, the proliferation of BIM tools, andthe uneven rates of BIM adoption The “big picture” view showing how yourorganization can work with business partners and fit into thebuilding life cycle in a BIM-enabled industry Throughout the book, sample documents and figures help youbetter understand the principles of BIM and how it works inpractice. In addition, first-hand accounts show you exactlyhow adopters of BIM have gained a competitive edge. Architects, engineers, constructors, building owners, andfacility managers can turn to this book to realize the fullpotential of BIM and radically improve the way buildings aredesigned, built, operated, and maintained. |
| business analytics in real estate: How to Estimate with RSMeans Data Saleh A. Mubarak, RSMeans, 2012-04-04 Using North America's most recognized construction cost data from RSMeans, this step-by-step guide develops problem-solving skills through over 300 sample problems and exercises. All of the major construction items, including site work, concrete and masonry, wood and metal framing, doors and windows, and more are covered. Access to a password-protected web site is included, which contains the instruction version of RSMeans Cos/Works, the electronic version of RS Means Building Construction Cost Data, and sample building plans and spreadsheets, enabling you to practice creating a complete construction estimate. |
| business analytics in real estate: Recent Advancements in Computational Finance and Business Analytics Rangan Gupta, |
| business analytics in real estate: Predictive Analytics For Dummies Anasse Bari, Mohamed Chaouchi, Tommy Jung, 2014-03-06 Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions. Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more. Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies. |
| business analytics in real estate: Strategy and Place Martha A. O'Mara, 1999 Organisational boundaries are being transformed by downsizing, outsourcing, and networked links with customers and suppliers. Unprecedented advances in telecommunications and 'virtuality' are changing how companies occupy real space. To survive, managers must radically rethink the physical aspects of their companies. Based on cutting-edge research at such companies as Pacific Bell, Lever Brothers and Merrill Lynch, STRATEGY AND PLACE presents a framework for making key business decisions about one of the organisation's most valuable assets: its physical facilities and properties. O'Mara outlines three main approaches to real estate and facility management decision making: Incrementalism, where only short-term commitments to space are made and capital expenditures minimised; Standardisation, in which control over both design and management procedures is strictly maintained with centralised decision making; and Value-based, where organisational values factor into all design-related decisions, and procedures are flexible to meet the needs of individual parts of the organisation. O'Mara explains the advantages and disadvantages of each strategy, and shows how to apply them appropriately, based on an understanding of the profound impact of competitive uncertainty in today's new business environment. |
| business analytics in real estate: Emerging Market Real Estate Investment David J. Lynn, 2010-09-14 Emerging markets in real estate investing have been an increasing focus for institutional real estate investors worldwide. Part of the Fabozzi series, this book is an insightful overview of international real estate focusing on three of the BRICs: China, India, and Brazil. The authors provide a framework for thinking about these dynamic markets characterized by youthful populations, extraordinary demand, capital inefficiency, and aspiration. Also discussed are the sociopolitical issues, policy, and entry/exit strategies. Notably, the book makes a sanguine assessment of the risks and opportunities of alternative strategies in each country. |
| business analytics in real estate: Ninja Selling Larry Kendall, 2017-01-03 2018 Axiom Business Book Award Winner, Gold Medal Stop Selling! Start Solving! In Ninja Selling, author Larry Kendall transforms the way readers think about selling. He points out the problems with traditional selling methods and instead offers a science-based selling system that gives predictable results regardless of personality type. Ninja Selling teaches readers how to shift their approach from chasing clients to attracting clients. Readers will learn how to stop selling and start solving by asking the right questions and listening to their clients. Ninja Selling is an invaluable step-by-step guide that shows readers how to be more effective in their sales careers and increase their income-per-hour, so that they can lead full lives. Ninja Selling is both a sales platform and a path to personal mastery and life purpose. Followers of the Ninja Selling system say it not only improved their business and their client relationships; it also improved the quality of their lives. |
| business analytics in real estate: Google Earth Pro for Real Estate Eric Pimpler, 2018-02-05 Google Earth Pro has become a must have tool that every real estate professional should have in their toolbox. This interactive 3D mapping software can be used for a variety of real estate activities including marketing and presentation, property research, and property visualization. Location, location, location is the mantra of real estate professionals. Google Earth Pro provides the ultimate platform for viewing and distributing real estate information to your customers. Whether you're working in commercial or residential real estate, Google Earth provides functionality that will allow you to effectively communicate the value of your properties to clients. Google Earth Pro is a 3D interactive globe that can be used to aid planning, analysis and decision-making. Businesses, governments and professional users from around the world use Google Earth Pro data visualization, site planning and information sharing tools. Google Earth places vital real estate information at your fingertips. Simply fly over and zoom in to inspect any site. How many competitors are within a three-mile radius? Is there a scrap yard next door? You'll know, without even getting on an airplane. |
| business analytics in real estate: Dominate Real Estate James Tyler, 2019-08-23 The Dominate Real Estate book is a practical step-by-step guide to help real estate professionals nationwide find wealth and happiness. The author, James Tyler, focuses on overcoming the challenges of business development, marketing, and sales to help build a profitable and scalable real estate business and eventually, an enjoyable lifestyle. |
| business analytics in real estate: Business Analytics Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, 2020-03-10 Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts. |
| business analytics in real estate: 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 capabilities of an organization. Covering the key areas of business analytics, the book explores the concepts, techniques, applications, and emerging trends that professionals across a wide range of industries need to be aware of. Better detection of fraud through visual analytics or better prediction of the likelihood of someone getting an infection while in the hospital are just a few examples of where analytics can play a positive role. As the field of business analytics continues to emerge rapidly, there is a need for a reliable textbook and reference on the subject. Filling this need, this book is suitable for graduate-level students and undergraduate seniors. It maintains a focus on only the key areas so the material can be covered adequately in a one-semester or one-quarter course. Each chapter includes software-generic exercises, labs, and associated answers to the exercises/labs. Author Jay Liebowitz recently had an article published in The World Financial Review. www.worldfinancialreview.com/?p=1904 |
| business analytics in real estate: Real Estate Market Analysis Deborah L. Brett, Adrienne Schmitz, 2015 First ed. entered under Adrienne Schmitz |
| business analytics in real estate: How to Read a Rent Roll John Wilhoit Jr., 2013-09 Do you know all the elements of a rent roll? This book is intended for those who are on the verge or in the throes of buying income-producing property. One of your foremost tasks in the acquisitions process is to validate contractual rental revenue. Rental revenue is provided to prospective investors under the terms of a confidentiality agreement. The seller will provide you with certain financial data, including the rent roll, for your inspection during the due diligence period. It is up to you to validate this information. Buying rental property is not an impulse purchase. The acquisition process is a significant time commitment and one that can be very rewarding. As a prospective buyer, you need to know how to build, understand and use the rent roll to your advantage. This book is a technical guide to rent roll analysis. The objective here is to narrow your attention to one thing and one thing only: estimating the validity, or reliability, of contractual rental revenue collected from income property. Why is this important? Because getting it wrong undermines any and all further work performed towards the goal of estimating Net Operating Income (NOI). If the revenue number is suspect, over-reported, under-reported or credit quality is without support, then what's the point of devoting energy, resources or dollars to completing the rest of the equation towards NOI? Without a solid foundation based on valid rental income the balance of your due diligence is an exercise in futility. |
| business analytics in real estate: Real Estate Investment Analysis and Advanced Income Appraisal Stanley William Hamilton, University of British Columbia. Real Estate Division, 2008 |
| business analytics in real estate: Private Real Estate Investment Roger J. Brown, 2005-02-03 Fiduciary responsibilities and related court-imposed liabilities have forced investors to assess market conditions beyond gut level, resulting in the development of sophisticated decision-making tools. Roger Brown's use of historical real estate data enables him to develop tools for gauging the impact of circumstances on relative risk. His application of higher level statistical modeling to various aspects of real estate makes this book an essential partner in real estate research. Offering tools to enhance decision-making for consumers and researchers in market economies of any country interested in land use and real estate investment, his book will improve real estate market efficiency. With property the world's biggest asset class, timely data on housing prices just got easier to find and use. Excellent mixture of theory and application Data and database analysis techniques are the first of their kind |
| business analytics in real estate: Location Analytics for Business David Z. Beitz, 2018-07-17 It’s estimated that 80 percent of an organization’s data contains location attributes, but many don’t understand how to unlock the potential of this data for their organizations to make better decisions. You have just been handed the keys by finding this book. Readers will unlock these methods by learning about location analytics as well as taking a deep dive into the Planned Grocery® platform created in part by the author. The Planned Grocery® location analytics platform has been mentioned in the Wall Street Journal (twice), Forbes, Bloomberg, and Business Insider. A sampling of clients of Planned Grocery® include: Philips Edison and Company, Just Fresh, Slate Retail REIT, Wegmans, and Whole Foods. The practical information in this book is designed to prepare you to recognize and take advantage of situations where you and your organization can become more successful using location analytics. This will be accomplished by taking you through an explanation of the fundamentals of location analytics, by looking at various case studies, by learning how to identify and analyze spatial data sets, and by learning about the companies that are doing interesting work in this space. |
| business analytics in real estate: Real Estate Modelling and Forecasting Chris Brooks, Sotiris Tsolacos, 2010-04-15 As real estate forms a significant part of the asset portfolios of most investors and lenders, it is crucial that analysts and institutions employ sound techniques for modelling and forecasting the performance of real estate assets. Assuming no prior knowledge of econometrics, this book introduces and explains a broad range of quantitative techniques that are relevant for the analysis of real estate data. It includes numerous detailed examples, giving readers the confidence they need to estimate and interpret their own models. Throughout, the book emphasises how various statistical techniques may be used for forecasting and shows how forecasts can be evaluated. Written by a highly experienced teacher of econometrics and a senior real estate professional, both of whom are widely known for their research, Real Estate Modelling and Forecasting is the first book to provide a practical introduction to the econometric analysis of real estate for students and practitioners. |
| business analytics in real estate: Analyzing a Real Estate Investment , 1974 |
| business analytics in real estate: Business Intelligence David Loshin, 2012-11-27 Business Intelligence: The Savvy Managers Guide, Second Edition, discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program. It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered. This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts. - Guides managers through developing, administering, or simply understanding business intelligence technology - Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization's data into actionable knowledge - Contains a handy, quick-reference to technologies and terminology |
| business analytics in real estate: Real Estate Note Investing Dave Van Horn, 2018 Learn to harness the power of paper with this introduction the note investing business! Read the author's story of his investing journey; first as a Realtor, then a rehabber, then an investor, commercial real estate fundraiser, and finally as a note fund founder and manager. Dave Van Horn has done it all and details his wins and mistakes along the way. Learn first-hand how the concept of note investing in some way, shape, or form has helped to build the author's portfolio and investing habits, while also taking him to the next stage of the game. Walk away from the book with the realization that everyone is in the note business (whether it's through a mortgage, a credit card, car loan, etc.) and that it pays big time to get from the side of the borrower to the side of the note owner. By doing so, one can improve their real estate business, diversify or add to their investment portfolio, and even gain true financial freedom. |
| business analytics in real estate: Zillow Talk Spencer Rascoff, Stan Humphries, 2015-01-27 How do you spot an area poised for gentrification? Is spring or winter the best time to put your house on the market? Will a house on Swamp Road sell for less than one on Gingerbread Lane? The fact is that the rules of real estate have changed drastically over the past five years. To understand real estate in our fast-paced, technology-driven world, we need to toss out all of the outdated truisms and embrace today's brand new information. But how? Enter Zillow, the nation's #1 real estate website and mobile app. Thanks to its treasure trove of proprietary data and army of statisticians and data scientists, led by chief economist Stan Humphries, Zillow has been able to spot the trends and truths of today's housing market while acknowledging that a home is more than an economic asset. In Zillow Talk, Humphries and CEO Spencer Rascoff explain the science behind where and how we live now and reveal practical, data-driven insights about buying, selling, renting and financing real estate. Read this book to find out why: It's better to remodel your bathroom than your kitchen Putting the word cute in your listing could cost you thousands of dollars You shouldn't buy the worst house in the best neighborhood You should never list your house for $444,000 You shouldn't list your house for sale before March Madness or after the Masters Densely packed with entertaining anecdotes and invaluable how-to advice, Zillow Talk is poised to be the real estate almanac for the next generation. |
| business analytics in real estate: Finance for Real Estate Development Charles Long, 2011 Explaining how finances drive each decision in the real estate development process, this helpful industry guide recognizes the complexities and significant risks of each project and illustrates how to reconcile conflicting elements to ultimately achieve success. A 36-year real estate development veteran, author Charles Long shares the practical information and personal insights that he has gained over the course of his career, and weaves relevant real world examples into the text, helping to clarify the principles necessary to effectively manage a project in today’s financial landscape. Ideal both for those starting out in real estate development and experienced professionals who want to learn the theory behind the practice, this book offers a different perspective on making the monetary decisions that are involved in property development projects. |
| business analytics in real estate: A Wealth of Common Sense Ben Carlson, 2015-06-22 A simple guide to a smarter strategy for the individual investor A Wealth of Common Sense sheds a refreshing light on investing, and shows you how a simplicity-based framework can lead to better investment decisions. The financial market is a complex system, but that doesn't mean it requires a complex strategy; in fact, this false premise is the driving force behind many investors' market mistakes. Information is important, but understanding and perspective are the keys to better decision-making. This book describes the proper way to view the markets and your portfolio, and show you the simple strategies that make investing more profitable, less confusing, and less time-consuming. Without the burden of short-term performance benchmarks, individual investors have the advantage of focusing on the long view, and the freedom to construct the kind of portfolio that will serve their investment goals best. This book proves how complex strategies essentially waste these advantages, and provides an alternative game plan for those ready to simplify. Complexity is often used as a mechanism for talking investors into unnecessary purchases, when all most need is a deeper understanding of conventional options. This book explains which issues you actually should pay attention to, and which ones are simply used for an illusion of intelligence and control. Keep up with—or beat—professional money managers Exploit stock market volatility to your utmost advantage Learn where advisors and consultants fit into smart strategy Build a portfolio that makes sense for your particular situation You don't have to outsmart the market if you can simply outperform it. Cut through the confusion and noise and focus on what actually matters. A Wealth of Common Sense clears the air, and gives you the insight you need to become a smarter, more successful investor. |
| business analytics in real estate: 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 in real estate: Ten Years to Midnight Blair H. Sheppard, 2020-08-04 “Shows how humans have brought us to the brink and how humanity can find solutions. I urge people to read with humility and the daring to act.” —Harpal Singh, former Chair, Save the Children, India, and former Vice Chair, Save the Children International In conversations with people all over the world, from government officials and business leaders to taxi drivers and schoolteachers, Blair Sheppard, global leader for strategy and leadership at PwC, discovered they all had surprisingly similar concerns. In this prescient and pragmatic book, he and his team sum up these concerns in what they call the ADAPT framework: Asymmetry of wealth; Disruption wrought by the unexpected and often problematic consequences of technology; Age disparities--stresses caused by very young or very old populations in developed and emerging countries; Polarization as a symptom of the breakdown in global and national consensus; and loss of Trust in the institutions that underpin and stabilize society. These concerns are in turn precipitating four crises: a crisis of prosperity, a crisis of technology, a crisis of institutional legitimacy, and a crisis of leadership. Sheppard and his team analyze the complex roots of these crises--but they also offer solutions, albeit often seemingly counterintuitive ones. For example, in an era of globalization, we need to place a much greater emphasis on developing self-sustaining local economies. And as technology permeates our lives, we need computer scientists and engineers conversant with sociology and psychology and poets who can code. The authors argue persuasively that we have only a decade to make headway on these problems. But if we tackle them now, thoughtfully, imaginatively, creatively, and energetically, in ten years we could be looking at a dawn instead of darkness. |
| business analytics in real estate: Loopholes of Real Estate Garrett Sutton, 2013-08-06 The Loopholes of Real Estate reveals the tax and legal strategies used by the rich for generations to acquire and benefit from real estate investments. Clearly written, The Loopholes of Real Estate shows you how to open tax loopholes for your benefit and close legal loopholes for your protection. |
| business analytics in real estate: Business Analytics Sanjiv Jaggia, Alison Kelly (Professor of economics), Kevin Lertwachara, Leida Chen, 2023 We wrote Business Analytics: Communicating with Numbers from the ground up to prepare students to understand, manage, and visualize the data; apply the appropriate analysis tools; and communicate the findings and their relevance. The text seamlessly threads the topics of data wrangling, descriptive analytics, predictive analytics, and prescriptive analytics into a cohesive whole. In the second edition of Business Analytics, we have made substantial revisions that meet the current needs of the instructors teaching the course and the companies that require the relevant skillset. These revisions are based on the feedback of reviewers and users of our first edition. The greatly expanded coverage of the text gives instructors the flexibility to select the topics that best align with their course objectives-- |
| business analytics in real estate: Economic Analysis of the Digital Economy Avi Goldfarb, Shane M. Greenstein, Catherine Tucker, 2015-05-08 There is a small and growing literature that explores the impact of digitization in a variety of contexts, but its economic consequences, surprisingly, remain poorly understood. This volume aims to set the agenda for research in the economics of digitization, with each chapter identifying a promising area of research. Economics of Digitization identifies urgent topics with research already underway that warrant further exploration from economists. In addition to the growing importance of digitization itself, digital technologies have some features that suggest that many well-studied economic models may not apply and, indeed, so many aspects of the digital economy throw normal economics in a loop. Economics of Digitization will be one of the first to focus on the economic implications of digitization and to bring together leading scholars in the economics of digitization to explore emerging research. |
| business analytics in real estate: Data Analytics and Business Intelligence Vincent Charles, Pratibha Garg, Neha Gupta, Mohini Agarwal, 2023-06-15 Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and services. BA is the process of transforming data into actionable insight by using statistical and mathematical analysis, descriptive, prescriptive, and predictive models, machine learning, information systems and network science methods, among others, along with a variety of data, expert knowledge, and fact-based management to support better and faster decision-making. BA and Business Intelligence (BI) generate capabilities for companies to compete in the market effectively and has become one of the main functional areas in most companies. BA tools are used in diverse ways, for example, to identify consumer behaviour patterns and market trends, to derive valuable insights on the performance of stocks, to find information on the attrition rate of employees, to analyse and solve healthcare problems, to offer insight into inventory management and supply chain management, to analyse data from social networks, and to infer traffic behaviour and develop traffic management policy, among others. BA and BI have become one of the most popular research areas in academic circles, as well as in the industry, driven by the increasing demand in the business world. This book aims to become a stimulus for innovative business solutions covering a wide range of aspects of business analytics, such as management science, information technology, descriptive, prescriptive, and predictive models, machine learning, network science, mathematical and statistical techniques. The book will encompass a valuable collection of chapters exploring and discussing computational frameworks, practices, and applications of BA that can assist industries and relevant stakeholders in decision-making and problem-solving exercises, with a view to driving competitive advantage. |
| business analytics in real estate: Innovative Approaches of Data Visualization and Visual Analytics Huang, Mao Lin, 2013-07-31 Due to rapid advances in hardware and software technologies, network infrastructure and data have become increasingly complex, requiring efforts to more effectively comprehend and analyze network topologies and information systems. Innovative Approaches of Data Visualization and Visual Analytics evaluates the latest trends and developments in force-based data visualization techniques, addressing issues in the design, development, evaluation, and application of algorithms and network topologies. This book will assist professionals and researchers working in the fields of data analysis and information science, as well as students in computer science and computer engineering, in developing increasingly effective methods of knowledge creation, management, and preservation. |
| business analytics in real estate: PropTech and Real Estate Innovations Olayiwola Oladiran, Louisa Dickins, 2024-08-22 This textbook serves as a guide to real estate students and educators on the various property innovations and digital technologies that continue to shape the property industry. The advancement of PropTech in the last few decades has led to significant changes in real estate systems, operations, and practice, and this new textbook provides insight on the past, present, and future of PropTech innovations that have spread across the value chain of real estate through planning, development, management, finance, investment, operations, and transactions. The textbook approaches this subject from the real estate components, asset classes, and submarkets and links them to the associated innovations and digital technologies. It concludes by reviewing the role of education, innovation, skill development, and professionalism as major elements of the future of real estate operations and practice. This book’s unique contributions are in putting the “property” element at the forefront and then illustrating how technology can enhance the various areas of real estate; the focus on how the different innovations and technologies can enhance the economic, environmental, social, and physical efficiency of real estate; and its coverage of some non‐technological innovations like flexible working and more practical areas of real estate innovation such as skills, employability, creativity, and education. It contains 21 case studies and 29 case summaries, which can serve as practice exercises for students. This book will be useful to students in helping them build a knowledge base and understanding of innovation and digital technologies in the industry. Real estate educators can use the textbook as a guide to incorporate real estate innovation and digital technologies into their current teaching and also to develop their real estate curricula through PropTech‐related modules and courses where necessary. It will also be valuable to real estate researchers in search of the theoretical and conceptual linkages, as well as industry practitioners who seek insight into the current and future potential of digital technologies and their applications to real estate operations and practice. |
| business analytics in real estate: The Routledge Handbook of Public Transport Corinne Mulley, John Nelson, Stephen Ison, 2021-05-12 The Routledge Handbook of Public Transport is a reference work of chapters providing in-depth examination of the current issues and future developments facing public transport. Chapters in this book are dedicated to specific key topics, identifying the challenges therein and pointing to emerging areas of research and concern. The content is written by an international group of expert contributors and is enhanced through contributions from practitioners to deliver a broader perspective. The Handbook deals with public transport policy context, modal settings, public transport environment, public transport delivery issues, smart card data for planning and the future of public transport. This comprehensive reference work will be a vital source for academics, researchers and transport practitioners in public transport management, transport policy and transport planning. |
| business analytics in real estate: What Every Real Estate Investor Needs to Know About Cash Flow... And 36 Other Key Financial Measures, Updated Edition Frank Gallinelli, 2015-11-20 The Classic Guide to Real Estate Investing—Updated for a Re-energized Industry! Real estate is once again a great investment, and this bestselling guide provides everything you need to know to get in now and make your fortune. What Every Real Estate Investor Needs to Know About Cash Flow removes the guesswork from investing in real estate by teaching you how to crunch numbers like a pro, so you can confidently judge a property’s value and ensure it provides long-term returns. Real estate expert, Frank Gallinelli has added new, detailed investment case studies, while maintaining the essentials that have made his book a staple among serious investors. Learn how to measure critical aspects of real estate investments, including: Discounted Cash Flow Net Present Value Capitalization Rate Cash-on-Cash Return Net Operating Income Internal Rate of Return Profitability Index Return on Equity Whether you’re just beginning in real estate investing or you’re a seasoned professional, What Every Real Estate Investor Needs to Know About Cash Flow has what you need to make sure you take the smartest approach for your next investment using proven calculations. |
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….
