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| big data small business: Big Data For Small Business For Dummies Bernard Marr, 2016-01-05 Capitalise on big data to add value to your small business Written by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data actually is—and how you can analyse and use it to improve your business. Free of confusing jargon and complemented with lots of step-by-step guidance and helpful advice, it quickly and painlessly helps you get the most from using big data in a small business. Business data has been around for a long time. Unfortunately, it was trapped away in overcrowded filing cabinets and on archaic floppy disks. Now, thanks to technology and new tools that display complex databases in a much simpler manner, small businesses can benefit from the big data that's been hiding right under their noses. With the help of this friendly guide, you'll discover how to get your hands on big data to develop new offerings, products and services; understand technological change; create an infrastructure; develop strategies; and make smarter business decisions. Shows you how to use big data to make sense of user activity on social networks and customer transactions Demonstrates how to capture, store, search, share, analyse and visualise analytics Helps you turn your data into actionable insights Explains how to use big data to your advantage in order to transform your small business If you're a small business owner or employee, Big Data For Small Business For Dummies helps you harness the hottest commodity on the market today in order to take your company to new heights. |
| big data small business: Big Data in Small Business Lund Pedersen, Carsten, Lindgreen, Adam, Ritter, Thomas, Ringberg, Torsten, 2021-09-21 This important book considers the ways in which small and medium-sized enterprises (SMEs) can thrive in the age of big data. To address this central issue from multiple viewpoints, the editors introduce a collection of experiences, insights, and guidelines from a variety of expert researchers, each of whom provides a piece to solve this puzzle. |
| big data small business: Big Data Bill Schmarzo, 2013-09-23 Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice. |
| big data small business: Big Data in Practice Bernard Marr, 2016-03-22 The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter |
| big data small business: Storage Area Networks For Dummies Christopher Poelker, Alex Nikitin, 2009-01-09 If you’ve been charged with setting up storage area networks for your company, learning how SANs work and managing data storage problems might seem challenging. Storage Area Networks For Dummies, 2nd Edition comes to the rescue with just what you need to know. Whether you already a bit SAN savvy or you’re a complete novice, here’s the scoop on how SANs save money, how to implement new technologies like data de-duplication, iScsi, and Fibre Channel over Ethernet, how to develop SANs that will aid your company’s disaster recovery plan, and much more. For example, you can: Understand what SANs are, whether you need one, and what you need to build one Learn to use loops, switches, and fabric, and design your SAN for peak performance Create a disaster recovery plan with the appropriate guidelines, remote site, and data copy techniques Discover how to connect or extend SANs and how compression can reduce costs Compare tape and disk backups and network vs. SAN backup to choose the solution you need Find out how data de-duplication makes sense for backup, replication, and retention Follow great troubleshooting tips to help you find and fix a problem Benefit from a glossary of all those pesky acronyms From the basics for beginners to advanced features like snapshot copies, storage virtualization, and heading off problems before they happen, here’s what you need to do the job with confidence! |
| big data small business: Big Data For Dummies Judith S. Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman, 2013-04-02 Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization. |
| big data small business: Data Analytics James Smith, 2016-07-05 Are You Actively Analyzing the Data Surrounding Your Business? Keep Reading to Learn Why You Should Be.. You may be the owner of a business, or someone who actively participates in the day to day operations of a business. We will go ahead and assume that your business is operating at a profit and you are happy with the direction it is going. As someone in this situation you might ask yourself, Why do I need Data Analysis anyways?. I'll tell you why, one simple reason. You are leaving money on the table. Let's put it this way.. you are doing good, but wouldn't you rather be doing great? Wouldn't you rather have the ability to predict how the consumers in your target market are going to be behaving a year from now? Five years from now? This is where Data Analysis comes in. Many people realize the need to pay attention to data in their business, but have no clue where to start. With the help of this book you will be better able to understand the importance of the data surrounding your business and exactly what to do with it. A Preview of What You Will Learn The Importance of Data in Business Exactly How to Handle and Manage Big Data Real World Examples of Data Science Benefiting Businesses Ways Data Can Be Used to Mitigate Risks The Entire Process of Data Analytics Much, much more! Take charge of your business today and buy this book! |
| big data small business: Big Data For Small Business For Dummies Bernard Marr, 2015-11-25 Capitalise on big data to add value to your small business Written by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data actually is—and how you can analyse and use it to improve your business. Free of confusing jargon and complemented with lots of step-by-step guidance and helpful advice, it quickly and painlessly helps you get the most from using big data in a small business. Business data has been around for a long time. Unfortunately, it was trapped away in overcrowded filing cabinets and on archaic floppy disks. Now, thanks to technology and new tools that display complex databases in a much simpler manner, small businesses can benefit from the big data that's been hiding right under their noses. With the help of this friendly guide, you'll discover how to get your hands on big data to develop new offerings, products and services; understand technological change; create an infrastructure; develop strategies; and make smarter business decisions. Shows you how to use big data to make sense of user activity on social networks and customer transactions Demonstrates how to capture, store, search, share, analyse and visualise analytics Helps you turn your data into actionable insights Explains how to use big data to your advantage in order to transform your small business If you're a small business owner or employee, Big Data For Small Business For Dummies helps you harness the hottest commodity on the market today in order to take your company to new heights. |
| big data small business: Databases for Small Business Anna Manning, 2015-11-21 This book covers the practical aspects of database design, data cleansing, data analysis, and data protection, among others. The focus is on what you really need to know to create the right database for your small business and to leverage it most effectively to spur growth and revenue. Databases for Small Business is a practical handbook for entrepreneurs, managers, staff, and professionals in small organizations who are not IT specialists but who recognize the need to ramp up their small organizations’ use of data and to round out their own business expertise and office skills with basic database proficiency. Anna Manning—a data scientist who has worked on database design and data analysis in a computer science university research lab, her own small business, and a nonprofit—walks you through the progression of steps that will enable you to extract actionable intelligence and maximum value from your business data in terms of marketing, sales, customer relations, decision making, and business strategy. Dr. Manning illustrates the steps in the book with four running case studies of a small online business, an engineering startup, a small legal firm, and a nonprofit organization. Databases for Small Business teaches non-techie entrepreneurs and professionals how to: Design a small business database from scratch Extract the maximum profit from your data Follow guidance on data protection law Effectively use data collection and data cleansing techniques Train staff to leverage your data |
| big data small business: Big Data Viktor Mayer-Schönberger, Kenneth Cukier, 2013 A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large. |
| big data small business: Big Data at Work Thomas Davenport, 2014-02-04 Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource. |
| big data small business: Big Data for Entrepreneurship and Sustainable Development Mohammed El Amine Abdelli, Wissem Ajili-Ben Youssef, Uğur Özgöker, Imen Ben Slimene, 2021-12-09 This book provides insight for researchers and decision-makers on the application of data in the entrepreneurship and sustainable development sector. This book covers how Big Data for Industry 4.0 and entrepreneurship are effective in resolving business, social, and economic problems. The book discusses how entrepreneurs use Big Data to cut costs and minimize the waste of time. It offers how using Big Data can increase efficiency, enables the studying of competitors, can improve the pricing of products, increase sales and loyalty, and can ensure the right people are hired. The book presents how decision-makers can make use of Big Data to resolve economic and social problems. Analyze the development of the economy and enhance the business climate. This book is for researchers, PhD students, and entrepreneurs and can also be of interest for transforming governments as well as businesses. |
| big data small business: Entrepreneurship and Big Data Meghna Chhabra, Rohail Hassan, Amjad Shamim, 2021-09-30 The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation. This book provides an overview of the various aspects of entrepreneurship, function, and contemporary forms. It covers a real-world understanding of how the entrepreneurial world works and the required new analytics thinking and computational skills. It also encompasses the essential elements needed when starting an entrepreneurial journey and offers inspirational case studies from key industry leaders. Ideal reading for aspiring entrepreneurs, Entrepreneurship and Big Data: The Digital Revolution is also useful to students, academicians, researchers, and practitioners. |
| big data small business: New Horizons for a Data-Driven Economy José María Cavanillas, Edward Curry, Wolfgang Wahlster, 2016-04-04 In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment. |
| big data small business: Handbook of Research on Organizational Transformations through Big Data Analytics Tavana, Madjid, 2014-11-30 Big data analytics utilizes a wide range of software and analytical tools to provide immediate, relevant information for efficient decision-making. Companies are recognizing the immense potential of BDA, but ensuring the data is appropriate and error-free is the largest hurdle in implementing BDA applications. The Handbook of Research on Organizational Transformations through Big Data Analytics not only catalogues the existing platforms and technologies, it explores new trends within the field of big data analytics (BDA). Containing new and existing research materials and insights on the various approaches to BDA; this publication is intended for researchers, IT professionals, and CIOs interested in the best ways to implement BDA applications and technologies. |
| big data small business: Issues in Entrepreneurship & Small Business Management SAGE Business Researcher, 2017-03-31 How different is the sharing economy from the traditional economy? What can entrepreneurs learn from failure? Can start-ups change the world? SAGE Business Researcher’s Issues in Entrepreneurship offers an in-depth and nuanced look at a wide range of today’s latest issues and controversies in entrepreneurship. This new collection of timely readings delves into current topics such as learning from failure, social entrepreneurship, flat management, crowdfunding, and more. Written with the rigor and immediacy of the best explanatory journalism, each issue provides deep, balanced, and authoritative coverage on the selected topic and key research, pointing students to reliable resources for further inquiry. These articles are perfect for outside reading assignments or in-class debates for any introductory entrepreneurship course. |
| big data small business: Data Divination Pam Baker, Bob Gourley, 2015 Our world is being transformed by big data. The growth of the Internet and the rapid expansion of mobile communications and related technologies have created a massive flow of data-both structured and unstructured. The availability and use of that data has enormous implications for businesses and for the wider society. Used effectively, big data can drive businesses in the direction of more accurate analyses of vital information. More accurate analyses can lead to more confident decision making-and eventually to greater operational efficiencies, cost reductions, and reduced risk. This book offers detailed instruction in big-data strategy development and implementation, supported by numerous real-world business cases in eight different industries. You will learn what big data is and what tools are available to mine it. Each chapter answers key questions and will give you the skills you need to make your big-data projects succeed. Put big data to work for you and your company today, with Data Divination: Big Data Strategies |
| big data small business: Small Data, Big Disruptions Martin Schwirn, 2021-04-15 A method to find and connect the small data clues that show what the future’s big picture will look like. “Strategy decisions are like playing high-stakes blackjack, and scanning is the technique for counting cards. Martin Schwirn isn’t a pro gambler, but an expert in scanning.” —Bill Ralston, cofounder of Strategic Business Insights and author of Scenario Planning Handbook An organization’s future success depends on their decision makers’ ability to anticipate changes and disruptions in the marketplace. But how do you get information about tomorrow today? How can your decisions today account for tomorrow’s uncertainties? Small Data, Big Disruptions presents a tool kit to foresee coming changes: Understand why big data will not help you with understanding tomorrow’s disruptions. The future starts with small data—first. Learn the proven 4-step process to capture small data that help envision the future. See examples of how the process anticipated major disruptions. Implement the process in your organization and learn how to initiate meaningful actions. Small Data, Big Disruptions provides the information you need to anticipate the future, understand tomorrow’s market dynamics, and make the necessary decisions to meet the future on your terms. Small Data, Big Disruptions lets you exploit the period between the moment you could know about emerging disruptions and the moment most everybody will know about it. It’s the difference between being ahead of the curve and struggling to catch up. |
| big data small business: Think Bigger Mark Van Rijmenam, 2014-04-03 Offering real-world insight and explanations, this book provides a roadmap for organizations looking to develop a profitable big data strategy and reveals why it's not something they can leave to the I.T. department. Big data--the enormous amount of data that is created as virtually every movement, transaction, and choice we make becomes digitized--is revolutionizing business. Sharing best practices from companies that have implemented a big data strategy including Walmart, InterContinental Hotel Group, Walt Disney, and Shell, this helpful resource covers the most important big data trends affecting organizations, as well as key technologies like Hadoop and MapReduce, and several crucial types of analyses. In Think Bigger, you will find guidance on topics such as: how to ensure security, respecting the privacy rights of consumers, and how big data is impacting specific industries--and where opportunities can be found. Big data is changing the way businesses--and even governments--are operated and managed. Think Bigger is an essential resource for anyone who wants to ensure that their company isn't left in the dust. |
| big data small business: Small Wars, Big Data Eli Berman, Joseph H. Felter, Jacob N. Shapiro, 2018-06-12 How a new understanding of warfare can help the military fight today’s conflicts more effectively The way wars are fought has changed starkly over the past sixty years. International military campaigns used to play out between large armies at central fronts. Today's conflicts find major powers facing rebel insurgencies that deploy elusive methods, from improvised explosives to terrorist attacks. Small Wars, Big Data presents a transformative understanding of these contemporary confrontations and how they should be fought. The authors show that a revolution in the study of conflict--enabled by vast data, rich qualitative evidence, and modern methods—yields new insights into terrorism, civil wars, and foreign interventions. Modern warfare is not about struggles over territory but over people; civilians—and the information they might choose to provide—can turn the tide at critical junctures. The authors draw practical lessons from the past two decades of conflict in locations ranging from Latin America and the Middle East to Central and Southeast Asia. Building an information-centric understanding of insurgencies, the authors examine the relationships between rebels, the government, and civilians. This approach serves as a springboard for exploring other aspects of modern conflict, including the suppression of rebel activity, the role of mobile communications networks, the links between aid and violence, and why conventional military methods might provide short-term success but undermine lasting peace. Ultimately the authors show how the stronger side can almost always win the villages, but why that does not guarantee winning the war. Small Wars, Big Data provides groundbreaking perspectives for how small wars can be better strategized and favorably won to the benefit of the local population. |
| big data small business: International Journal of Risk and Contingency Management (IJRCM). Kenneth David Strang, IGI Global, Information Resources Management Association, 2014 |
| big data small business: World Wide Data Alfonso Asensio, 2017-12-18 The world is currently in the midst of a data revolution. Consumers now inhabit a digital world and companies have no option but to follow them there. Governments are reviewing the rules of usage for consumer data in marketing and advertising in order to take advantage of the huge economic opportunity that the data driven economy represents. Companies, recognizing the opportunity, are hurrying to adapt by digitalizing their processes. They are putting pressure on their managers and working teams to learn how to make best use of the technology capabilities and their data resources. What is more, premier national companies have to compete in a global business field where their Silicon Valley-breed competitors have a substantial advantage in terms of digitalization and data usage. Written in plain English with illustrative examples and cases, this book is for the general manager who seeks a better grasp of this fast-changing business world and a better understanding of what will be required from he/she, not just now but in five years’ time. |
| big data small business: Business Trends in Practice Bernard Marr, 2021-11-15 WINNER OF THE BUSINESS BOOK OF THE YEAR AWARD 2022! Stay one step ahead of the competition with this expert review of the most impactful and disruptive business trends coming down the pike Far from slowing down, change and transformation in business seems to come only at a more and more furious rate. The last ten years alone have seen the introduction of groundbreaking new trends that pose new opportunities and challenges for leaders in all industries. In Business Trends in Practice: The 25+ Trends That Are Redefining Organizations, best-selling business author and strategist Bernard Marr breaks down the social and technological forces underlying these rapidly advancing changes and the impact of those changes on key industries. Critical consumer trends just emerging today—or poised to emerge tomorrow—are discussed, as are strategies for rethinking your organisation’s product and service delivery. The book also explores: Crucial business operations trends that are changing the way companies conduct themselves in the 21st century The practical insights and takeaways you can glean from technological and social innovation when you cut through the hype Disruptive new technologies, including AI, robotic and business process automation, remote work, as well as social and environmental sustainability trends Business Trends in Practice: The 25+ Trends That Are Redefining Organizations is a must-read resource for executives, business leaders and managers, and business development and innovation leads trying to get – and stay – on top of changes and disruptions that are right around the corner. |
| big data small business: Small Business, Big Vision Matthew Toren, Adam Toren, 2011-08-02 Lessons in applying passion and perseverance from prominent entrepreneurs In the world of entrepreneurship, your vision solidifies your resolve when things get tough, and it reminds you why you went into business in the first place. Authors, brothers, and serial entrepreneurs, Matthew and Adam Toren have compiled a wealth of valuable information on the passionate and pragmatic realities of starting your own business. They've also gathered insights from some of the world's most successful entrepreneurs. This book delivers the information that both established and budding entrepreneurs need, explains how to implement that information, and validates each lesson with real-world examples. Small Business, Big Vision provides inspiration and practical advice on everything from creating a one-page business plan to setting up an advisory board, and also delivers a call to social entrepreneurship and sustainable business practices. This powerful book: Offers instruction in whether and how to seek investors Outlines the pros and cons of hiring employees and provides guidance on how to find the best outsourced workers Presents a comprehensive action plan for effective social media marketing Explains how to build an information empire and become an expert Small Business, Big Vision proves that with a flexible mindset, practical skills, and the passion to keep pushing forward, entrepreneurs can find success, even in today's ever-changing business landscape. |
| big data small business: Contemporary Perspectives in Data Mining Kenneth D. Lawrence, Ronald Klimberg, 2017-09-01 The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are in finance (banking, brokerage, and insurance), marketing (customer relationships, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security, and law enforcement. |
| big data small business: Business Intelligence Tools for Small Companies Albert Nogués, Juan Valladares, 2017-05-25 Learn how to transition from Excel-based business intelligence (BI) analysis to enterprise stacks of open-source BI tools. Select and implement the best free and freemium open-source BI tools for your company’s needs and design, implement, and integrate BI automation across the full stack using agile methodologies. Business Intelligence Tools for Small Companies provides hands-on demonstrations of open-source tools suitable for the BI requirements of small businesses. The authors draw on their deep experience as BI consultants, developers, and administrators to guide you through the extract-transform-load/data warehousing (ETL/DWH) sequence of extracting data from an enterprise resource planning (ERP) database freely available on the Internet, transforming the data, manipulating them, and loading them into a relational database. The authors demonstrate how to extract, report, and dashboard key performance indicators (KPIs) in a visually appealing format from the relational database management system (RDBMS). They model the selection and implementation of free and freemium tools such as Pentaho Data Integrator and Talend for ELT, Oracle XE and MySQL/MariaDB for RDBMS, and Qliksense, Power BI, and MicroStrategy Desktop for reporting. This richly illustrated guide models the deployment of a small company BI stack on an inexpensive cloud platform such as AWS. What You'll Learn You will learn how to manage, integrate, and automate the processes of BI by selecting and implementing tools to: Implement and manage the business intelligence/data warehousing (BI/DWH) infrastructure Extract data from any enterprise resource planning (ERP) tool Process and integrate BI data using open-source extract-transform-load (ETL) tools Query, report, and analyze BI data using open-source visualization and dashboard tools Use a MOLAP tool to define next year's budget, integrating real data with target scenarios Deploy BI solutions and big data experiments inexpensively on cloud platforms Who This Book Is For Engineers, DBAs, analysts, consultants, and managers at small companies with limited resources but whose BI requirements have outgrown the limitations of Excel spreadsheets; personnel in mid-sized companies with established BI systems who are exploring technological updates and more cost-efficient solutions |
| big data small business: Applications of Big Data in Large- and Small-Scale Systems Goundar, Sam, Rayani, Praveen Kumar, 2021-01-15 With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems. |
| big data small business: Business Intelligence and Analytics in Small and Medium Enterprises Pedro Novo Melo, Carolina Machado, 2019-11-26 Technological developments in recent years have been tremendous. This evolution is visible in companies through technological equipment, computerized procedures, and management practices associated with technologies. One of the management practices that is visible is related to business intelligence and analytics (BI&A). Concepts such as data warehousing, key performance indicators (KPIs), data mining, and dashboards are changing the business arena. This book aims to promote research related to these new trends that open up a new field of research in the small and medium enterprises (SMEs) area. Features Focuses on the more recent research findings occurring in the fields of BI&A Conveys how companies in the developed world are facing today's technological challenges Shares knowledge and insights on an international scale Provides different options and strategies to manage competitive organizations Addresses several dimensions of BI&A in favor of SMEs |
| big data small business: Big Data Intelligence and Computing Ching-Hsien Hsu, Mengwei Xu, Hung Cao, Hojjat Baghban, A. B. M. Shawkat Ali, 2023-04-30 This book constitutes the proceedings of the International Conference on Big Data Intelligence and Computing, DataCom 2022, which took place in Denarau Island, Fiji, in December 2022. The 30 full papers included in this volume were carefully reviewed and selected from 88 submissions. The papers detail big data analytics solutions, distributed computation paradigms, on-demand services, autonomic systems, and pervasive applications. |
| big data small business: Small and Medium Enterprises Across the Globe Meghana Ayyagari, Thorsten Beck, Asl? Demirgüç-Kunt, 2003 This paper describes a new cross-country database on the importance of small and medium enterprises (SMEs). This database is unique in that it presents consistent and comparable information on the contribution of the SME sector to total employment and GDP across different countries. The dataset improves on existing publicly available datasets on several grounds. First, it extends coverage to a broader set of developing and industrial economies. Second, it provides information on the contribution of the SME sector using a uniform definition of SMEs across different countries, allowing for consistent cross-country comparisons. Third, while we follow the traditional definition of the SME sector as being part of the formal sector, the new database also includes the size of the SME sector relative to the informal sector. This paper describes the sources and the construction of the different indicators, presents descriptive statistics, and explores correlations with other socioeconomic variables. This paper--a product of Finance, Development Research Group--is part of a larger effort in the group to study SME-related issues. |
| big data small business: Fintech, Small Business & the American Dream Karen G. Mills, 2019-03-12 Small businesses are the backbone of the U.S. economy. They are the biggest job creators and offer a path to the American Dream. But for many, it is difficult to get the capital they need to operate and succeed. In the Great Recession, access to capital for small businesses froze, and in the aftermath, many community banks shuttered their doors and other lenders that had weathered the storm turned to more profitable avenues. For years after the financial crisis, the outlook for many small businesses was bleak. But then a new dawn of financial technology, or “fintech,” emerged. Beginning in 2010, new fintech entrepreneurs recognized the gaps in the small business lending market and revolutionized the customer experience for small business owners. Instead of Xeroxing a pile of paperwork and waiting weeks for an answer, small businesses filled out applications online and heard back within hours, sometimes even minutes. Banks scrambled to catch up. Technology companies like Amazon, PayPal, and Square entered the market, and new possibilities for even more transformative products and services began to appear. In Fintech, Small Business & the American Dream, former U.S. Small Business Administrator and Senior Fellow at Harvard Business School, Karen G. Mills, focuses on the needs of small businesses for capital and how technology will transform the small business lending market. This is a market that has been plagued by frictions: it is hard for a lender to figure out which small businesses are creditworthy, and borrowers often don’t know how much money or what kind of loan they need. New streams of data have the power to illuminate the opaque nature of a small business’s finances, making it easier for them to weather bumpy cash flows and providing more transparency to potential lenders. Mills charts how fintech has changed and will continue to change small business lending, and how financial innovation and wise regulation can restore a path to the American Dream. An ambitious book grappling with the broad significance of small business to the economy, the historical role of credit markets, the dynamics of innovation cycles, and the policy implications for regulation, Fintech, Small Business & the American Dream is relevant to bankers, fintech investors, and regulators; in fact, to anyone who is interested in the future of small business in America. |
| big data small business: Practical Big Data Analytics Nataraj Dasgupta, 2018-01-15 Get command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Book Description Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book. What you will learn - Get a 360-degree view into the world of Big Data, data science and machine learning - Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives - Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R - Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions - Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications - Understand corporate strategies for successful Big Data and data science projects - Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies Who this book is for The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience. |
| big data small business: Management of Data in AI Age Amandeep Kaur, Anjum Mohammad Aslam, Mikael Wiberg, P. K. Paul, Anil Bhuimali, R.R. Sinha, K.S. Tiwary, Pappachan Baby, R. Rajesh, 2020-10-10 This book is a compilation of contributed works on management of data in the age of artificial intelligence. The AI technologies have changed the way the businesses do manage themselves in modern times. It becomes much more important to manage the data a business owns when the same can be collated and used by the allied AI technologies for forming business decisions. This book highlights how AI and machine learning can help businesses categorise and manage their organizational data. The book introduces how small businesses can benefit from AI technologies for their data management with limited budgets. The book advocates for making AI processes to be core part of consumer experience and support management within the businesses. As a unique feature, this book also goes to make an awareness as to how human brain can use AI’s deep learning capabilities to make reflective decisions. The book also introduces as to how big data and big data analytics can help agriculture and farm management sector. It is hoped that the readership will find this book useful in the areas of big data management, machine learning and data decisions, AI technologies for small businesses, usage of AI in emerging sectors and those areas where data needs to managed in an environment of automation. |
| big data small business: Big Data Driven Supply Chain Management Nada R. Sanders, 2014-05-07 Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance. |
| big data small business: Smart Manufacturing Anthony Tarantino, 2022-05-10 Explore the dramatic changes brought on by the new manufacturing technologies of Industry 4.0 In Smart Manufacturing, The Lean Six Sigma Way, Dr. Anthony Tarantino delivers an insightful and eye-opening exploration of the ways the Fourth Industrial Revolution is dramatically changing the way we manufacture products across the world and especially how it will revitalize manufacturing in North America and Europe. The author examines the role and impact of a variety of new Smart technologies including industrial IoT, computer vision, mobile/edge computing, 3D printing, robots, big data analytics, and the cloud. He demonstrates how to apply these new technologies to over 20 continuous improvement/Lean Six Sigma tools, greatly enhancing their effectiveness and ease of use. The book also discusses the role Smart technologies will play in improving: Career opportunities for women in manufacturing Cyber security, supply chain risk, and logistics resiliency Workplace health, safety, and security Life on the manufacturing floor Operational efficiencies and customer satisfaction Perfect for anyone involved in the manufacturing or distribution of products in the 21st century, Smart Manufacturing, The Lean Six Sigma Way belongs in the libraries of anyone interested in the intersection of technology, commerce, and physical manufacturing. |
| big data small business: Small Business Management Timothy S. Hatten, 2023-11-03 Small Business Management, Eighth Edition equips students with the tools to navigate important financial, legal, marketing, and managerial decisions when creating and growing a sustainable small business. Author Timothy S. Hatten provides new cases, real-world examples, and illuminating features that spotlight the diverse, innovative contributions of small business owners to the economy. Whether your students dream of launching a new venture, purchasing a franchise, managing a lifestyle business, or joining the family company, they will learn important best practices for competing in the modern business world. This title is accompanied by a complete teaching and learning package. Contact your Sage representative to request a demo. Learning Platform / Courseware Sage Vantage is an intuitive learning platform that integrates quality Sage textbook content with assignable multimedia activities and auto-graded assessments to drive student engagement and ensure accountability. Unparalleled in its ease of use and built for dynamic teaching and learning, Vantage offers customizable LMS integration and best-in-class support. It′s a learning platform you, and your students, will actually love. Learn more. Assignable Video with Assessment Assignable video (available in Sage Vantage) is tied to learning objectives and curated exclusively for this text to bring concepts to life. Watch a sample video now. LMS Cartridge: Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don’t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site. Learn more. |
| big data small business: Business Intelligence Jerzy Surma, 2011-03-06 This book is about using business intelligence as a management information system for supporting managerial decision making. It concentrates primarily on practical business issues and demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration. |
| big data small business: Big Business Marketing For Small Business Budgets Jeanette Maw McMurtry, 2003-03-22 Techniques smaller businesses can use to stretch their marketing dollars--and keep customers loyal for a lifetime Traditionally, the competitive ace -in -the hole for smaller businesses has been their ability to provide more personalized service than their larger, arm's-length competitors. However, CRM initiatives and Web-based technologies now allow global businesses to appear and behave much smaller than in the past, leaving local businesses scrambling to uncover new areas of differentiation and competitive advantage. Big Business Marketing for Small Business Budgets shows small business owners how to make the most of their limited marketing dollars by capturing the lifetime loyalty of their most valuable customers. This hands-on, how-to-do-it book features tricks and techniques of global marketers from Amazon.com to American Express that operations of all sizes can use to quickly and inexpensively: Develop precise, personalized marketing programs Incorporate the Internet with existing marketing activities Collect and utilize valuable customer preference data for marketing individually to customers In today's price-driven, What's in it for me? marketplace, developing and sustaining long-term customer relationships has become increasingly difficult for smaller businesses--but not impossible. Let Big Business Marketing for Small Business Budgets show you how to compete with your largest competitors--and adopt and adapt their well-researched tips and techniques to gain lifetime customers. |
| big data small business: Lean Analytics Alistair Croll, Benjamin Yoskovitz, 2024-02-23 Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products |
| big data small business: 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. |
Small Business, Big Data - research.ou.nl
Small Business, Big Data: An assessment framework for (big) data analytics capabilities in SMEs Naomi Moonen, Jeroen Baijens, Mahdi Ebrahim and Remko Helms ABSTRACT Though firms …
Big Data in Practice: HOW 45 SUCCESSFUL COMPANIES USED …
Bernard Marr’s book delivers valuable, and diverse insights on Big Data use cases, success stories, and learned from numerous business domains. After diving into this book, have all the …
Data Unleashed: Empowering Small and Medium Enterprises …
the key challenges and opportunities that SMEs face regarding data readiness (see Box 1). Based on the survey results and complementary analysis of secondary resources, the present …
Determinants of big data analytics adoption in small and …
Under the Industry 4.0 phenomenon, emerging technologies, especially Big Data Analytics (BDA), are flooring the SMEs’ path by making them able to be more optimized (Liu et al., 2020; …
Achieving business impact with data - McKinsey & Company
The crucial capability in today’s Big Data world is being able to “translate” analytics- and data-driven insights into business implications and actions.
Barriers to SMEs Adoption of Big Data Analytics for …
SMEs of adopting Big Data Analytics mean that it is important to investigate the factors affecting the adoption of Big Data Analytics by SMEs. The paper is organised as follows: Section 2 …
companies can prot from Small data: data strategies that most
Small data is concerned with identifying causations in data that are small and logical enough to be understood in the context of a given business and can be analyzed for insights that lead to …
THE INFLUENCE OF AI AND BIG DATA ON SMALL …
Big Data allows small businesses to create more personalized and effective marketing strategies. By analyzing customer behavior, preferences, and demographic information, businesses can …
Small Business Big Data White Paper - bennettintelligence.com
By combining big data with data mining (including social media mining), business owners and managers better understand customer trends and adjust accordingly.
Small data in the era of big data - Kitchin
We examine how small data are increasingly being pooled, linked and scaled into data infrastructures that make them more big data-like—that is, amenable to com-bination with big …
case study collection 7 get big data - Bernard Marr
big data - case study collection 1 Big Data is a big thing and this case study collection will give you a good overview of how some companies really leverage big data to drive business …
Big data The three-minute guide - Deloitte United States
Big data generally refers to datasets so large and complex they create significant challenges for traditional data management and analysis tools in practical timeframes.
Helping Small Businesses Become More Data-Driven: A Field …
Jan 3, 2024 · We study the field experiment setting created by eBay’s staggered rollout of Seller Hub (SH), a new data- rich seller dashboard, initially targeted at business-to- consumer (B2C) …
Small Data and Big Data: Combination make better Decision
Big Data describes a holistic information management strategy that includes and integrates many new types of data and data management alongside traditional data.
Artificial intelligence and big data in entrepreneurship: a
Here we present some reflections and a collection of papers on the role of AI and big data for this emerging area in the study and application of entrepreneurship research.
BIG VS SMALL DATA IN MICRO AND SMALL COMPANIES
The main attention is paid to the use of big data in micro and small enterprises through the analyses of needed skills, organizational changes and big data management including possible …
Digital loyalty card ‘big data’ and small business marketing: …
With the growth of new digital sources of big data, such as loyalty cards, business analytic solutions providers such as SAS and IBM are promoting cost-effective, cloud-based tools and …
Big Data-Driven Innovation in SME Financial Management: A …
Feb 25, 2025 · The significance of the project is to introduce advanced technologies such as big data and artificial intelligence to promote the transformation and upgrading of financial …
Big business in small business: Cloud services for SMBs
Cloud services are gaining ground in all segments, but small and medium-sized businesses present a unique opportunity. Under-standing and addressing what sets them apart is the key …
Big data analytics should be driven by business needs, not …
Big data analytics can deliver massive value, but too often companies let technology guide their efforts. Instead, decisions must be based on business priorities. Despite how it’s practiced in …
Small Business, Big Data - research.ou.nl
Small Business, Big Data: An assessment framework for (big) data analytics capabilities in SMEs Naomi Moonen, Jeroen Baijens, Mahdi Ebrahim and Remko Helms ABSTRACT Though firms …
Big Data in Practice: HOW 45 SUCCESSFUL COMPANIES USED …
Bernard Marr’s book delivers valuable, and diverse insights on Big Data use cases, success stories, and learned from numerous business domains. After diving into this book, have all the …
Data Unleashed: Empowering Small and Medium Enterprises …
the key challenges and opportunities that SMEs face regarding data readiness (see Box 1). Based on the survey results and complementary analysis of secondary resources, the present …
Determinants of big data analytics adoption in small and …
Under the Industry 4.0 phenomenon, emerging technologies, especially Big Data Analytics (BDA), are flooring the SMEs’ path by making them able to be more optimized (Liu et al., 2020; …
Achieving business impact with data - McKinsey & Company
The crucial capability in today’s Big Data world is being able to “translate” analytics- and data-driven insights into business implications and actions.
Barriers to SMEs Adoption of Big Data Analytics for …
SMEs of adopting Big Data Analytics mean that it is important to investigate the factors affecting the adoption of Big Data Analytics by SMEs. The paper is organised as follows: Section 2 …
companies can prot from Small data: data strategies that most
Small data is concerned with identifying causations in data that are small and logical enough to be understood in the context of a given business and can be analyzed for insights that lead to …
THE INFLUENCE OF AI AND BIG DATA ON SMALL …
Big Data allows small businesses to create more personalized and effective marketing strategies. By analyzing customer behavior, preferences, and demographic information, businesses can …
Small Business Big Data White Paper - bennettintelligence.com
By combining big data with data mining (including social media mining), business owners and managers better understand customer trends and adjust accordingly.
Small data in the era of big data - Kitchin
We examine how small data are increasingly being pooled, linked and scaled into data infrastructures that make them more big data-like—that is, amenable to com-bination with big …
case study collection 7 get big data - Bernard Marr
big data - case study collection 1 Big Data is a big thing and this case study collection will give you a good overview of how some companies really leverage big data to drive business …
Big data The three-minute guide - Deloitte United States
Big data generally refers to datasets so large and complex they create significant challenges for traditional data management and analysis tools in practical timeframes.
Helping Small Businesses Become More Data-Driven: A Field …
Jan 3, 2024 · We study the field experiment setting created by eBay’s staggered rollout of Seller Hub (SH), a new data- rich seller dashboard, initially targeted at business-to- consumer (B2C) …
Small Data and Big Data: Combination make better Decision
Big Data describes a holistic information management strategy that includes and integrates many new types of data and data management alongside traditional data.
Artificial intelligence and big data in entrepreneurship: a
Here we present some reflections and a collection of papers on the role of AI and big data for this emerging area in the study and application of entrepreneurship research.
BIG VS SMALL DATA IN MICRO AND SMALL COMPANIES
The main attention is paid to the use of big data in micro and small enterprises through the analyses of needed skills, organizational changes and big data management including possible …
Digital loyalty card ‘big data’ and small business marketing: …
With the growth of new digital sources of big data, such as loyalty cards, business analytic solutions providers such as SAS and IBM are promoting cost-effective, cloud-based tools and …
Big Data-Driven Innovation in SME Financial Management: A …
Feb 25, 2025 · The significance of the project is to introduce advanced technologies such as big data and artificial intelligence to promote the transformation and upgrading of financial …
Big business in small business: Cloud services for SMBs
Cloud services are gaining ground in all segments, but small and medium-sized businesses present a unique opportunity. Under-standing and addressing what sets them apart is the key …
Big data analytics should be driven by business needs, not …
Big data analytics can deliver massive value, but too often companies let technology guide their efforts. Instead, decisions must be based on business priorities. Despite how it’s practiced in …
