Download or read book Data Driven written by Thomas C. Redman and published by Harvard Business Press. This book was released on 2008-09-22 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.

Download or read book Data driven Organization Design written by Rupert Morrison and published by Kogan Page Publishers. This book was released on 2015-10-03 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: SHORTLISTED: CMI Management Book of the Year 2017 - Management Futures Category Data is changing the nature of competition. Making sense of it is tough; taking advantage of it is even tougher. There is a clear business opportunity for organizations to use data and analytics to transform business performance. Data-driven Organization Design provides a practical framework for HR and organization design practitioners to build a baseline of data, set objectives, carry out fixed and dynamic process design, map competencies, and right-size the organization so everyone performs to their potential and organizations have a hope of getting and sustaining a competitive edge. Data-driven Organization Design shows how to collect the right data on organizations, present it meaningfully and ask the right questions of it to help complex, fluid organizations constantly evolve and meet moving objectives. Through the use of case studies, practical tips, and sample exercises, it explains in detail how to use data and analytics to connect all the elements of the system so you can design an environment for people to perform, an organization which has the right people, in the right place, doing the right things, at the right time. Whether you are looking to implement a long-term transformation, large redesign, or a one-off small scale project, Data-driven Organization Design will guide you through making the most of organizational data and analytics to drive business performance.

Download or read book New Horizons for a Data Driven Economy written by José María Cavanillas and published by Springer. This book was released on 2016-04-04 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data Driven Innovation written by Michael Moesgaard Andersen and published by Routledge. This book was released on 2021-03-02 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, innovation does not just occur in large and incumbent R&D organizations. Instead, it often emerges from the start-up community. In the new innovation economy, the key is to quickly find pieces of innovation, some of which may already be developed. Therefore, there is the need for more advanced means of searching and identifying innovation wherever it may occurs. We point to the importance of data-driven innovation based on digital platforms, as their footprints are growing rapidly and in sync with the shift from analogue to digital innovation workflows. This book offers companies insights on paths to business success and tools that will help them find the right route through the various options when it comes to the digital platforms where innovations may be discovered and from which value may be appropriated. The world hungers for growth and one of the most important vehicles for growth is innovation. In light of the new digital platforms from which data-driven innovation can be extracted, major parts of analogue workflows will be substituted with digital workflows. Data-driven innovation and digital innovation workflows are here to stay. Are you?

Download or read book Data Driven written by Thomas C. Redman and published by Harvard Business Press. This book was released on 2008 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.

Download or read book Design and Data written by Ben Lorica and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Applications of Computational Intelligence in Data Driven Trading written by Cris Doloc and published by John Wiley & Sons. This book was released on 2019-10-31 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence. The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author’s two decades of professional experience as a technologist, quant and academic.

Download or read book Data Driven Decision Making using Analytics written by Parul Gandhi and published by CRC Press. This book was released on 2021-12-21 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.

Download or read book Data Driven Business Transformation written by Peter Jackson and published by John Wiley & Sons. This book was released on 2019-05-28 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: OPTIMIZE YOUR BUSINESS DATA FOR FIRST-CLASS RESULTS Data Driven Business Transformation illustrates how to find the secrets to fast adaptation and disruptive origination hidden in your data and how to use them to capture market share. Digitalisation – or the Digital Revolution – was the first step in an evolving process of analysis and improvement in the operations and administration of commerce. The popular author team of Caroline Carruthers and Peter Jackson, two global leaders in data transformation and education, pick up the conversation here at the next evolutionary step where data from these digital systems generates value, and really use data science to produce tangible results. Optimise the performance of your company through data-driven processes by: Following step-by-step guidance for transitioning your company in the real world to run on a data-enabled business model Mastering a versatile set of data principles powerful enough to produce transformative results at any stage of a business’s development Winning over the hearts of your employees and influencing a cultural shift to a data-enabled business Reading first-hand stories from today’s thought leaders who are shaping data transformation at their companies Enable your company’s data to lift profits with Data Driven Business Transformation.

Download or read book Data driven Management written by Julián Garritz and published by . This book was released on 2021-04-19 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: essentials is a series of books specially designed for readers who want to gain an overview of a topic in a short time. These books contain the essence of what is considered "state of the art" in the current professional discussion and in practice. essentials inform quick, straightforward and easy to understand. Data-driven management (DDM) is on everyone's lips. New technologies offer unimagined opportunities if they are used with concept and competence. The buzzwords are Big Data, Blockchain, Artificial Intelligence (AI), Machine Learning or Predictive Marketing. But according to a recent study by Fujitsu, just 5% of all companies today can be considered "data-driven," meaning that 95% of all organizations are flying blind on data. This represents a huge risk for all stakeholders. Moreover, in this context, many managers believe that simply buying an AI-IT solution will solve this data blindness problem, which is a huge fallacy. Because just like children in elementary school who first learn mental arithmetic and only then reach for the calculator, managers must first master and learn the basic concepts and competencies of data-driven management in order to be able to apply and use these new technologies in a meaningful and valid way. This book briefly and concisely describes the path to data-driven management based on the authors' tried-and-tested process model. Without prior knowledge, you get a comprehensive insight into the subject matter with many relevant concepts and tips. The most important terms in the environment of data-driven management are explained. The process model shows and describes the individual steps simply and understandably for everyone, in order to quickly and effectively implement a stringent data-driven management without external experts and investments. What you can find in this essential: - An introduction to the current situation and the importance of data-driven management (DDM) - Various short definitions of relevant terms in the context of DDM - A tool for status analysis on DDM in an organization - A process model for the development or optimization of an already existing system to DDM - The Quick Check for the self-assessment to determine the own DDM-Readiness - Brief presentation of various templates and tools that have been tested and are relevant - An outlook on the further development of DDM - Many further links to articles and sources to deepen the content in this essential About the authors: Prof. h.c. Dr. Uwe Seebacher (MBA), who holds a doctorate in economics and business administration, has more than 25 years of experience as a consultant, manager but also entrepreneur in the media, production and service industries with international success-es in strategic and operational marketing and communications as well as in process optimization, digitalization, human resources management and organizational development. Julian Garritz has a degree in History from the National Autonomous University of Mexico. He is Founder and CEO of Garritz International, a digital agency and consulting firm with presence in Latin America, the United States and Europe. Leading the group's strategy from Frankfurt, Germany, he has successfully developed an international network that serves clients in different segments, including financial services, entertainment, health and industrial businesses.

Download or read book Data Driven Dealings Development written by Jesko Rehberg and published by . This book was released on 2020-12-11 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: When I was starting my Python data analysis journey I was missing books or tutorials which really cover all the topics involved when trying to conduct a sales analysis successfully. Especially when you are a complete newbie conducting an analysis from A-Z without any (or not sufficient) pre-knowledge is difficult, because most books only cover specific parts of the whole project, and it is challenging to put all the pieces of the puzzle together. That is my main motivation for writing this book: you to have one guideline in hand which leads all the way through your whole sales analysis project, from installing all the necessary Python libraries, cleaning the data, effectively training the Machine Learning (ML) models and deploying the results to your colleagues in an intelligible way. The topics covered in this book are: Explorative Data Analysis (EDA)Feature Engineering and Clustering (Unsupervised Machine Learning) Predicting of future sales using statistical modelling, Prophet, and Long-Short-Term Memory (LSTM) using deep learning techniques (Tensorflow/ Keras) Market Basket Analysis using the Apriori Algorithm and Spark Recommend products to our customers using Scikit-Learn, Pandas, Tensorflow, and Turicreate Stac

Download or read book Development Methodologies for Big Data Analytics Systems written by Manuel Mora and published by Springer Nature. This book was released on 2023-11-03 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents research in big data analytics (BDA) for business of all sizes. The authors analyze problems presented in the application of BDA in some businesses through the study of development methodologies based on the three approaches – 1) plan-driven, 2) agile and 3) hybrid lightweight. The authors first describe BDA systems and how they emerged with the convergence of Statistics, Computer Science, and Business Intelligent Analytics with the practical aim to provide concepts, models, methods and tools required for exploiting the wide variety, volume, and velocity of available business internal and external data - i.e. Big Data – and provide decision-making value to decision-makers. The book presents high-quality conceptual and empirical research-oriented chapters on plan-driven, agile, and hybrid lightweight development methodologies and relevant supporting topics for BDA systems suitable to be used for large-, medium-, and small-sized business organizations.

Download or read book Data Driven Innovation Big Data for Growth and Well Being written by OECD and published by OECD Publishing. This book was released on 2015-10-06 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.

Download or read book Data Driven Operations written by Jinglong Zhao (Data scientist) and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital innovation has gained increasing attention in today's world. The explosion of data that is generated through modern marketplaces provides new opportunities to use data-driven tools to understand and optimize the marketplace operations. This dissertation studies various problems around the following two pillars of data-driven operations: optimization and econometrics. In the first module we focus on optimization, in which we consider dynamic resource allocation problems under zero adaptivity. Dynamic resource allocation problems are omnipresent in modern business operations. In the revenue management setting, there are unreplenishable resources to allocate to heterogeneous consumer demands, immediately and irrevocably upon their arrivals. In such settings, zero adaptivity refers to a policy whose actions are independent of the remaining resources. Traditional revenue management literature has mainly focused on fully adaptive policies; and there is a gap between the provable effectiveness of adaptive policies in theory, and the applicability of non-adaptive policies in practice. We show that under different models of demand uncertainty, carefully designed non-adaptive policies may provably perform almost as well as the best fully adaptive counterparts. In the second module we focus on econometrics, in which we consider experimental design problems. Experimental design is a widely adopted approach for firms to evaluate the effectiveness of their initiatives, by comparing the standard offering to a new initiative. Such a task is often challenging due to interference, both over time and across units. Traditional experimental design methods suffer from large variances of the estimators when accounting for interference; and practitioners have recognized that insufficient precision may lead to unreliable inference. We build the theoretical foundations to use optimization approach to maximize the precision when designing experiments. Finally, we conclude with discussions of the limitations of the models and methods we have considered. We also provide practical suggestions to applied researchers and data scientists.

Download or read book Data Driven Decision Making for Long Term Business Success written by Singh, Sonia and published by IGI Global. This book was released on 2023-12-21 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.

Download or read book Data Driven HR written by Bernard Marr and published by Kogan Page Publishers. This book was released on 2018-04-03 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.

Download or read book The Data Driven Entrepreneur written by Basil U and published by Independently Published. This book was released on 2024-08-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maximize the full potential of your business with The Data Driven Entrepreneur: Making Informed Decisions for Business Growth. In today's competitive landscape, making decisions based on intuition alone is no longer enough. This essential guide offers entrepreneurs a comprehensive approach to harnessing the power of data, providing actionable insights to elevate your business strategies and drive growth. Inside this book, you will discover: The Foundations of Data-Driven Decision-Making: Learn the principles behind data-driven decisions and why they are crucial for modern entrepreneurship. Discover how data can transform your approach from gut-feeling to evidence-based strategies. Mastering Data Collection and Analysis: Gain practical knowledge on collecting and analyzing various types of data. Explore tools and technologies that turn raw numbers into actionable insights, from Google Analytics to advanced CRM systems. Integrating Data into Your Business Strategy: Understand how to align data with your business goals. Learn to identify market trends, customer behaviors, and operational inefficiencies to make strategic decisions that drive success. Building a Data-Driven Culture: Foster a culture that embraces data at all levels of your organization. Discover strategies for training your team, overcoming resistance, and making data an integral part of your business processes. Real-Life Case Studies: Get inspired by real-world examples of entrepreneurs who have successfully leveraged data to grow their businesses. Learn from their successes and challenges to apply these lessons to your own journey. Overcoming Challenges and Ethical Considerations: Navigate common pitfalls in data-driven decision-making and address ethical concerns such as data privacy and bias. Ensure that your use of data adheres to best practices and legal standards. Practical Next Steps and Resources: Equip yourself with practical tools and resources to continue your data-driven journey. From online courses and books to industry communities and conferences, find the resources that will support your ongoing learning and development. This book is not just a guide, it's a roadmap to becoming a more informed, strategic, and successful entrepreneur. Whether you're starting a new venture or looking to refine your existing business, this book will help you make smarter decisions, optimize your operations, and achieve your business goals with confidence.