Products related to Data:
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Data Analytics in Marketing, Entrepreneurship, and Innovation
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences.Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics.It features case studies that provide realistic examples of applications.This multifaceted examination of data analytics looks at: Business analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing.Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery.Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques.Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
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Data Analytics for Business : Lessons for Sales, Marketing, and Strategy
Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down.This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications.The foundation of this text is the author’s 20-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail.He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics.The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures. Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics.
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Data and Analytics Strategy for Business : Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy
For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business.Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience.Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity.It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors. Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making.Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.
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Marketing Strategy : Based on First Principles and Data Analytics
Marketing Strategy offers a unique and dynamic approach based on four underlying principles that underpin marketing today: All customers differ; All customers change; All competitors react; and All resources are limited.The structured framework of this acclaimed textbook allows marketers to develop effective and flexible strategies to deal with diverse marketing problems under varying circumstances.Uniquely integrating marketing analytics and data driven techniques with fundamental strategic pillars the book exemplifies a contemporary, evidence-based approach.This base toolkit will support students’ decision-making processes and equip them for a world driven by big data.The second edition builds on the first’s successful core foundation, with additional pedagogy and key updates. Research-based, action-oriented, and authored by world-leading experts, Marketing Strategy is the ideal resource for advanced undergraduate, MBA, and EMBA students of marketing, and executives looking to bring a more systematic approach to corporate marketing strategies. New to this Edition:- Revised and updated throughout to reflect new research and industry developments, including expanded coverage of digital marketing, influencer marketing and social media strategies- Enhanced pedagogy including new Worked Examples of Data Analytics Techniques and unsolved Analytics Driven Case Exercises, to offer students hands-on practice of data manipulation as well as classroom activities to stimulate peer-to-peer discussion- Expanded range of examples to cover over 250 diverse companies from 25 countries and most industry segments- Vibrant visual presentation with a new full colour designAccompanying online resources for this title can be found at bloomsburyonlineresources.com/marketing-strategy-2e.These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
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Which offers better opportunities in the job market: developing a data analytics app or web development?
Both developing a data analytics app and web development offer great opportunities in the job market, but the demand for data analytics skills is currently higher. Data analytics is a rapidly growing field, and businesses are increasingly relying on data to make informed decisions. Developing a data analytics app requires skills in data analysis, programming, and understanding of business needs, making it a valuable skill set in the job market. However, web development also offers great opportunities, especially with the increasing demand for online presence and e-commerce. Ultimately, both fields offer promising career prospects, but data analytics may currently have a slight edge in the job market.
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What is better: Saleswoman for Marketing Communication or E-Commerce?
The answer to this question depends on individual preferences and strengths. A saleswoman for marketing communication may be better suited for someone who enjoys building relationships, networking, and effectively communicating the value of products or services to potential clients. On the other hand, e-commerce may be a better fit for someone who is tech-savvy, enjoys analyzing data, and is interested in the digital marketplace. Both roles offer unique opportunities for success and growth, so it ultimately comes down to personal interests and skills.
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How to calculate the amount of data in digital video data?
To calculate the amount of data in digital video data, you need to consider the resolution, frame rate, and bit depth of the video. First, calculate the total number of pixels in each frame by multiplying the width by the height of the video resolution. Then, multiply this by the number of frames per second to get the total number of pixels per second. Finally, multiply this by the bit depth (usually 8 bits per color channel) to get the total amount of data per second in bits.
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Which is more worthwhile, business administration or e-commerce?
The answer to whether business administration or e-commerce is more worthwhile depends on individual interests and career goals. Business administration provides a broad foundation in various aspects of business management, while e-commerce focuses specifically on online business operations and strategies. If someone is interested in traditional business practices and wants a versatile skill set, business administration may be more suitable. On the other hand, if someone is passionate about technology and the digital marketplace, e-commerce could be a more valuable choice. Ultimately, both fields offer unique opportunities for success and growth.
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Global Entrepreneurship Analytics : Using GEM Data
This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics.Using the data from the Global Entrepreneurship Monitor (GEM), statistical demographic techniques are used for the evaluation of data quality (EDQ), and a new methodology for the estimation of Specific Entrepreneurship Rates (SER) and the Global Entrepreneurship Rate (GER) is proposed.At the same time the authors present artificial intelligence techniques such as Fuzzy Time Series (FTS) to forecast data series of the entrepreneurial population.Finally, they present a case study of the implementation of Big Data in Entrepreneurship using GEM data that shows the latest technological trends for the management of data, in support of making more accurate decisions.Being a methodological book, the techniques presented can be applied to any dataset in different areas.Readers will learn new methodologies of analysis and measurement of entrepreneurship using data from the Global Entrepreneurship Monitor.They will be able to access the experience of the authors through each of the applied cases in which the reader is taken by the hand, both through the scientific method and through the methodology of construction of more accurate metrics in entrepreneurship, with less error. This book will be of value to students at an advanced level, academics and researchers in the fields of Entrepreneurship, Business Analytics and Research Methodology.
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Data and Analytics Strategy for Business : Leverage Data and AI to Achieve Your Business Goals
Data presents a tremendous opportunity for businesses to increase revenue, reduce costs, mitigate risks, and improve customer satisfaction.An effective data strategy leveraging AI allows businesses to take advantage of the data they have.Data and Analytics Strategy for Business is a practical guide for senior data leaders building a strategy for their organization.Starting with identifying the kind of data projects that reflect their company's goals and mission, it explains in detail how leaders can get buy-in for these projects from the rest of the organization.With emphasis on sourcing and identifying quality data, reporting and developing dashboards, using AI, understanding ethical considerations and better serving customers, this book provides the keys to using data to drive improved business results. Incorporating the latest developments in AI, this new edition of Data and Analytics Strategy for Business shows how leaders can use AI right away to get value from their existing strategy.It provides practical guidance and recommendations for implementing AI and machine learning to maximize performance.Filled with real-world examples from organizations including Tesco, Transport for London and Bupa, this book is a step-by-step guide to designing and implementing a results-driven data strategy.
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Creating Value with Data Analytics in Marketing : Mastering Data Science
This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science.The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organizations to leverage the information to create value in marketing. Creating Value with Data Analytics in Marketing provides a nuanced view of big data developments and data science, arguing that big data is not a revolution but an evolution of the increasing availability of data that has been observed in recent times.Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data.The second edition of this bestselling text has been fully updated in line with developments in the field and includes a selection of new, international cases and examples, exercises, techniques and methodologies. Tying data and analytics to specific goals and processes for implementation makes this essential reading for advanced undergraduate and postgraduate students and specialists of data analytics, marketing research, marketing management and customer relationship management. Online resources include chapter-by-chapter lecture slides and data sets and corresponding R code for selected chapters.
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Digital Marketing Analytics : Making Sense of Consumer Data in a Digital World
Distill Maximum Value from Your Digital Data! Do It Now! Why hasn’t all that data delivered a whopping competitive advantage? Because you’ve barely begun to use it, that’s why! Good news: neither have your competitors. It’s hard! But digital marketing analytics is 100% doable, it offers colossal opportunities, and all of the data is accessible to you.Chuck Hemann and Ken Burbary will help you chop the problem down to size, solve every piece of the puzzle, and integrate a virtually frictionless system for moving from data to decision, action to results!Scope it out, pick your tools, learn to listen, get the metrics right, and then distill your digital data for maximum value for everything from R&D to customer service to social media marketing! Prioritize—because you can’t measure and analyze everything Use analysis to craft experiences that profoundly reflect each customer’s needs, expectations, and behaviors Measure real digital media ROI: sales, leads, and customer satisfaction Track the performance of all paid, earned, and owned digital channels Leverage digital data way beyond PR and marketing: for strategic planning, product development, and HR Start optimizing digital content in real time Implement advanced tools, processes, and algorithms for accurately measuring influence Make the most of surveys, focus groups, and offline research synergies Focus new marketing investments where they’ll deliver the most value • Identify and understand your most important audiences across the digital ecosystem “Chuck and Ken lead marketers clearly and efficiently through the minefield of digital marketing measurement. And they do so with a lightness of touch and absence of jargon so rare in this overhyped, much-misunderstood ecosystem.” — Sam Knowles, Founder & MD of Insight Agents; author of Narrative by Numbers: How to Tell Powerful & Purposeful Stories with Data
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What is the type of business for E-commerce?
E-commerce is a type of business that involves buying and selling goods or services over the internet. It can include a wide range of products and services, such as retail, wholesale, digital goods, and online marketplaces. E-commerce businesses can operate on their own websites, through online marketplaces like Amazon or eBay, or through social media platforms. This type of business allows for global reach and 24/7 accessibility for customers.
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Is the e-commerce industry really the worst for web developers?
No, the e-commerce industry is not necessarily the worst for web developers. While it does come with its own set of challenges, such as the need for robust security measures and complex payment processing systems, it also offers a wide range of opportunities for developers to showcase their skills and creativity. E-commerce websites often require high-quality user interfaces, seamless navigation, and efficient backend systems, which can be exciting and rewarding for web developers to work on. Additionally, the e-commerce industry is constantly evolving, providing developers with the chance to stay updated with the latest technologies and trends.
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What does a timing diagram for preamble and payload data look like in digital technology?
In digital technology, a timing diagram for preamble and payload data typically shows the timing relationship between the preamble and the payload data. The preamble is a sequence of known bits that helps the receiver synchronize with the transmitter and establish a communication link. In the timing diagram, the preamble will be shown as a series of pulses or bits occurring at specific time intervals, followed by the payload data which contains the actual information being transmitted. The timing diagram will illustrate how the preamble and payload data are synchronized and transmitted within the digital communication system.
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How do you calculate the amount of data in digital video data?
The amount of data in digital video data can be calculated by multiplying the video resolution (width x height in pixels), the bit depth (number of bits used to represent each color channel), the frame rate (number of frames per second), and the duration of the video in seconds. This will give you the total amount of data in bits. To convert this to a more commonly used unit, such as megabytes or gigabytes, you can divide the total amount of data in bits by 8 to get the amount in bytes, and then divide by 1024 multiple times to convert to larger units.
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