Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value

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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value

Author : Eric Anderson
Publisher : McGraw Hill Professional
ISBN 13 : 1260459152
Total Pages : 353 pages
Book Rating : 4.2/5 (64 download)

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Book Synopsis Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value by : Eric Anderson

Download or read book Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value written by Eric Anderson and published by McGraw Hill Professional. This book was released on 2020-11-23 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.

Agile Analytics

Author : Ken Collier
Publisher : Addison-Wesley
ISBN 13 : 032150481X
Total Pages : 368 pages
Book Rating : 4.3/5 (215 download)

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Book Synopsis Agile Analytics by : Ken Collier

Download or read book Agile Analytics written by Ken Collier and published by Addison-Wesley. This book was released on 2012 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile pioneer Ken Collier shows how to do just that. Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets and how to support enormous and fast-growing data volumes. Collier's techniques offer optimal value whether your projects involve "back-end" data management, "front-end" business analysis, or both. Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your Agile DW/BI project community can collaborate toward success Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right now--whether you're an IT decision-maker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results--and have fun along the way.

Succeeding with AI

Author : Veljko Krunic
Publisher : Manning Publications
ISBN 13 : 1617296937
Total Pages : 288 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Succeeding with AI by : Veljko Krunic

Download or read book Succeeding with AI written by Veljko Krunic and published by Manning Publications. This book was released on 2020-03-31 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too often, these AI projects focus on technology at the expense of actionable or tangible business results, resulting in scattershot results and wasted investment. Succeeding with AI sets out a blueprint for AI projects to ensure they are predictable, successful, and profitable. It’s filled with practical techniques for running data science programs that ensure they’re cost effective and focused on the right business goals. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Succeeding with AI requires talent, tools, and money. So why do many well-funded, state-of-the-art projects fail to deliver meaningful business value? Because talent, tools, and money aren’t enough: You also need to know how to ask the right questions. In this unique book, AI consultant Veljko Krunic reveals a tested process to start AI projects right, so you’ll get the results you want. About the book Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This practical guide reveals secrets forged during the author’s experience with dozens of startups, established businesses, and Fortune 500 giants that will help you establish meaningful, achievable goals. In it you’ll master a repeatable process to maximize the return on data-scientist hours and learn to implement effectiveness metrics for keeping projects on track and resistant to calcification. What's inside Where to invest for maximum payoff How AI projects are different from other software projects Catching early warnings in time to correct course Exercises and examples based on real-world business dilemmas About the reader For project and business leadership, result-focused data scientists, and engineering teams. No AI knowledge required. About the author Veljko Krunic is a data science consultant, has a computer science PhD, and is a certified Six Sigma Master Black Belt. Table of Contents: 1. Introduction 2. How to use AI in your business 3. Choosing your first AI project 4. Linking business and technology 5. What is an ML pipeline, and how does it affect an AI project? 6. Analyzing an ML pipeline 7. Guiding an AI project to success 8. AI trends that may affect you

Building Analytics Teams

Author : John K. Thompson
Publisher : Packt Publishing Ltd
ISBN 13 : 180020518X
Total Pages : 395 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Building Analytics Teams by : John K. Thompson

Download or read book Building Analytics Teams written by John K. Thompson and published by Packt Publishing Ltd. This book was released on 2020-06-30 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI Key FeaturesLearn to create an operationally effective advanced analytics team in a corporate environmentSelect and undertake projects that have a high probability of success and deliver the improved top and bottom-line resultsUnderstand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your teamBook Description In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success. The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs. The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects. By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization. What you will learnAvoid organizational and technological pitfalls of moving from a defined project to a production environmentEnable team members to focus on higher-value work and tasksBuild Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organizationOutsource certain projects to competent and capable third partiesSupport the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analyticsAnalyze the operational area, the processes, the data, and the organizational resistanceWho this book is for This book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.

Big Data Demystified

Author : David Stephenson
Publisher : Pearson UK
ISBN 13 : 1292218126
Total Pages : 178 pages
Book Rating : 4.2/5 (922 download)

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Book Synopsis Big Data Demystified by : David Stephenson

Download or read book Big Data Demystified written by David Stephenson and published by Pearson UK. This book was released on 2018-02-19 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.

Profit Driven Business Analytics

Author : Wouter Verbeke
Publisher : John Wiley & Sons
ISBN 13 : 1119286557
Total Pages : 420 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Profit Driven Business Analytics by : Wouter Verbeke

Download or read book Profit Driven Business Analytics written by Wouter Verbeke and published by John Wiley & Sons. This book was released on 2017-10-09 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maximize profit and optimize decisions with advanced business analytics Profit-Driven Business Analytics provides actionable guidance on optimizing the use of data to add value and drive better business. Combining theoretical and technical insights into daily operations and long-term strategy, this book acts as a development manual for practitioners seeking to conceive, develop, and manage advanced analytical models. Detailed discussion delves into the wide range of analytical approaches and modeling techniques that can help maximize business payoff, and the author team draws upon their recent research to share deep insight about optimal strategy. Real-life case studies and examples illustrate these techniques at work, and provide clear guidance for implementation in your own organization. From step-by-step instruction on data handling, to analytical fine-tuning, to evaluating results, this guide provides invaluable guidance for practitioners seeking to reap the advantages of true business analytics. Despite widespread discussion surrounding the value of data in decision making, few businesses have adopted advanced analytic techniques in any meaningful way. This book shows you how to delve deeper into the data and discover what it can do for your business. Reinforce basic analytics to maximize profits Adopt the tools and techniques of successful integration Implement more advanced analytics with a value-centric approach Fine-tune analytical information to optimize business decisions Both data stored and streamed has been increasing at an exponential rate, and failing to use it to the fullest advantage equates to leaving money on the table. From bolstering current efforts to implementing a full-scale analytics initiative, the vast majority of businesses will see greater profit by applying advanced methods. Profit-Driven Business Analytics provides a practical guidebook and reference for adopting real business analytics techniques.

Big Data MBA

Author : Bill Schmarzo
Publisher : John Wiley & Sons
ISBN 13 : 1119238846
Total Pages : 312 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Big Data MBA by : Bill Schmarzo

Download or read book Big Data MBA written by Bill Schmarzo and published by John Wiley & Sons. This book was released on 2015-12-11 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.

Big Data Computing

Author : Rajendra Akerkar
Publisher : CRC Press
ISBN 13 : 1466578386
Total Pages : 564 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Big Data Computing by : Rajendra Akerkar

Download or read book Big Data Computing written by Rajendra Akerkar and published by CRC Press. This book was released on 2013-12-05 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches. Comprised of five sections, the book focuses on: What Big Data is and why it is important Semantic technologies Tools and methods Business and economic perspectives Big Data applications across industries

Driving Your Company's Value

Author : Michael J. Mard
Publisher : John Wiley & Sons
ISBN 13 : 0471708860
Total Pages : 193 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Driving Your Company's Value by : Michael J. Mard

Download or read book Driving Your Company's Value written by Michael J. Mard and published by John Wiley & Sons. This book was released on 2005-01-03 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Driving Your Company's Value: Strategic Benchmarking for Value is astep-by-step book presenting a valuation-oriented methodology thathelps companies maximize shareholder value. It offers clear,concise, and concrete methods for management to create and preservevalue, complete with case study applications. In an easy-to-readformat, it brings together the aspects of the Financial AccountingStandards Boards' new performance measurements, the balancedscorecard, and the new guidelines on fraud detection and ExtensibleBusiness Reporting Language (XBRL). * Identifies the critical decisions that most effectuate growth andvalue. * Covers the easy and reliable ways to monitor value of anentity. * Demonstrates how management can apportion and allocate resourcesto achieve the highest value.

Reengineering Performance Management Breakthroughs in Achieving Strategy Through People

Author : Tracey Weiss
Publisher : CRC Press
ISBN 13 : 9781574440416
Total Pages : 250 pages
Book Rating : 4.4/5 (44 download)

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Book Synopsis Reengineering Performance Management Breakthroughs in Achieving Strategy Through People by : Tracey Weiss

Download or read book Reengineering Performance Management Breakthroughs in Achieving Strategy Through People written by Tracey Weiss and published by CRC Press. This book was released on 1997-03-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Looking for the ultimate book to help reengineer the way your company manages performance? Here is a major work that lays the groundwork for successful change at virtually every step in maximizing individual, team and organizational effectiveness. It is ideal for any manager responsible for performance improvement or human resource development. The authors, both experienced in competency-based human resource development and management, provide the reader with insight into performance management as a strategic tools and change lever-not a dreaded, bureaucratic hurdle. Readers are empowered to achieve their goals faster and more effectively by mobilizing people with whom they work. Senior human resources and line managers in organizations of all sizes will find answers to many of their most challenging people-related questions in Reengineering Performance Management. Numerous case studies from companies on the cutting edge of performance management illustrate the major themes of the text. Critically peer reviewed, this book offers the benefit of successful methods that have been tried and tested over the past 50 years, along with the most advanced and up-to-date knowledge in the field of performance management.

Selling Your Ideas to Your Organization

Author : Harold Scharlatt
Publisher : John Wiley & Sons
ISBN 13 : 1118163680
Total Pages : 32 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Selling Your Ideas to Your Organization by : Harold Scharlatt

Download or read book Selling Your Ideas to Your Organization written by Harold Scharlatt and published by John Wiley & Sons. This book was released on 2011-08-15 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you've got an idea you want to sell, you need to do two things: scan your environment and use effective tactics. This guidebook explains how to scan your environment and provides a collection of tactics you can use to sell your idea. Using this systematic approach will make you more likely to accomplish your objective - solving a problem or making an improvement for the benefit of individuals, groups, and the organization as a whole.

Step Up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data

Author : Shitalkumar R Sukhdeve
Publisher : Independently Published
ISBN 13 :
Total Pages : 304 pages
Book Rating : 4.5/5 (726 download)

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Book Synopsis Step Up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data by : Shitalkumar R Sukhdeve

Download or read book Step Up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data written by Shitalkumar R Sukhdeve and published by Independently Published. This book was released on 2020-11-27 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Review: "I would recommend this book to all prospective data scientists - as well as those software professionals who choose to transfer or migrate to the domain of data science. It is a useful addition to the body of work already available to guide project managers of data science projects." Lt Col (Dr) Rajesh Kapur (Retd), AI Investor, Asst. Prof. TIMSCDR, Hyderabad, India "It's a masterpiece of work for the aspiring leaders of data science and AI. It's also a guide for executives and investors to get maximum value from their investment in AI. Beginners in data science can also get the most out of this book.", Jay Ojha, Business intelligence and analytics manager, HCL Infosystem LtdWhy should you read this book? 87% of data science project fails to make to production in enterprises. Only 50% is the data leadership success rate. Is it not surprising to know when data science and AI are in the top trend? If you are looking for a career in data science or looking for leadership, these insights may disturb you. Don't worry, "Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data." will -Burst the myths around data science, AI & big data-Presents the real business scenarios -Take you on the journey of data science, AI & big data even if you are an ultimate beginner.-Introduce you to the essential skills of success in this field -Develop a leadership mindset by cutting edge methodologies & strategies-Make you aware of technical trends around it-Develop technical skills with R, Python, Machine learning with big data as well as business skills-Reduce failure possibility and increase the chance of success by covering the 360 degrees view of the field. Each day counts. So as your steps. Step up immediately and begin your journey to your dreams of data science and AI.

Leading Projects with Data

Author : Marcus Glowasz
Publisher : Marcus Glowasz
ISBN 13 : 3033095224
Total Pages : 341 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Leading Projects with Data by : Marcus Glowasz

Download or read book Leading Projects with Data written by Marcus Glowasz and published by Marcus Glowasz. This book was released on 2022-12-01 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of data and analytics significantly improves project performance, but it requires a cultural foundation that connects and engages people, enables evidence-based thinking and facilitates new capabilities. In an era of rapid change and an ever-increasing flow of information, data is a highly-valued asset. Organizations are transforming business areas into data-driven practices to make better and faster decisions and respond accurately to fast-changing market behaviors and demands. The project management domain cannot afford to be left behind. Old practices will not serve the sector in the twenty-first century. That means project delivery functions must embrace new and innovative ways to deliver change. In this book, Marcus Glowasz argues the urgent need to employ data and analytics for improved project performance. Leading Projects with Data is full of actionable insights to drive the behaviors and culture shifts necessary to ensure a successful transition to data-informed project delivery practices. A thriving practice needs people with the mindset to collaborate across boundaries, learn from failure, adapt to a new normal of frequent disruption and change, and value knowledge. Diversity, transparency, and critical thinking are key drivers in the new world of project management. The future is here. Embrace it.

AI-Enabled Analytics for Business

Author : Lawrence S. Maisel
Publisher : John Wiley & Sons
ISBN 13 : 1119736080
Total Pages : 243 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis AI-Enabled Analytics for Business by : Lawrence S. Maisel

Download or read book AI-Enabled Analytics for Business written by Lawrence S. Maisel and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future. Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities Empower better, smarter decision making by implementing AI-enabled analytics decision support tools Uncover patterns and insights in data, and discover facts about your business that will unlock greater performance Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision making AI-Enabled Analytics in Business is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation.

Meme Media and Meme Market Architectures

Author : Yuzuru Tanaka
Publisher : John Wiley & Sons
ISBN 13 : 9780471453789
Total Pages : 528 pages
Book Rating : 4.4/5 (537 download)

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Book Synopsis Meme Media and Meme Market Architectures by : Yuzuru Tanaka

Download or read book Meme Media and Meme Market Architectures written by Yuzuru Tanaka and published by John Wiley & Sons. This book was released on 2003-07-10 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an integrated view of the five kinds of enabling technologies in terms of knowledge media architectures: multimedia and hypermedia, object-oriented GUI and visual programming, reusable component software and component integration, network publishing and electronic commerce, and object-oriented and multimedia databases. Among many books on multimedia and hypermedia, few address knowledge. Of those that do, none focus on media for the editing, distribution, and management of knowledge the way this book does. It is written based on the hypothesis that knowledge media work as genes, with their network publishing repository, working as a gene pool to accelerate the evolution of knowledge shared in our societies.

Data Strategy

Author : Bernard Marr
Publisher : Kogan Page Publishers
ISBN 13 : 0749479868
Total Pages : 201 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Data Strategy by : Bernard Marr

Download or read book Data Strategy written by Bernard Marr and published by Kogan Page Publishers. This book was released on 2017-04-03 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT).

Analytics in a Big Data World

Author : Bart Baesens
Publisher : John Wiley & Sons
ISBN 13 : 1118892747
Total Pages : 256 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Analytics in a Big Data World by : Bart Baesens

Download or read book Analytics in a Big Data World written by Bart Baesens and published by John Wiley & Sons. This book was released on 2014-04-15 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.