Big Data Maturity Model
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Big Data Maturity Model
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Author : Gerardus Blokdyk
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-01-14
Big Data Maturity Model written by Gerardus Blokdyk and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-14 with categories.
Is Supporting Big Data Maturity Model documentation required? What will drive Big Data Maturity Model change? What are the Key enablers to make this Big Data Maturity Model move? A compounding model resolution with available relevant data can often provide insight towards a solution methodology; which Big Data Maturity Model models, tools and techniques are necessary? How will you know that the Big Data Maturity Model project has been successful? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Big Data Maturity Model investments work better. This Big Data Maturity Model All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Big Data Maturity Model Self-Assessment. Featuring 699 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Big Data Maturity Model improvements can be made. In using the questions you will be better able to: - diagnose Big Data Maturity Model projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Big Data Maturity Model and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Big Data Maturity Model Scorecard, you will develop a clear picture of which Big Data Maturity Model areas need attention. Your purchase includes access details to the Big Data Maturity Model self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Big Data Maturity Model
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Author : Gerard Blokdyk
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-11-21
Big Data Maturity Model written by Gerard Blokdyk and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-21 with categories.
Is Supporting Big Data Maturity Model documentation required? What will drive Big Data Maturity Model change? What are the Key enablers to make this Big Data Maturity Model move? A compounding model resolution with available relevant data can often provide insight towards a solution methodology; which Big Data Maturity Model models, tools and techniques are necessary? How will you know that the Big Data Maturity Model project has been successful? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Big Data Maturity Model investments work better. This Big Data Maturity Model All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Big Data Maturity Model Self-Assessment. Featuring 699 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Big Data Maturity Model improvements can be made. In using the questions you will be better able to: - diagnose Big Data Maturity Model projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Big Data Maturity Model and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Big Data Maturity Model Scorecard, you will develop a clear picture of which Big Data Maturity Model areas need attention. Your purchase includes access details to the Big Data Maturity Model self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Big Data Maturity Model
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Author : Abdulkhaliq Alharthi
language : en
Publisher:
Release Date : 2018
Big Data Maturity Model written by Abdulkhaliq Alharthi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Big data categories.
Today, in the era of Big Data, many organizations around the world realize that the ability to analyze and use big and complex data sets and data streams is becoming one of the most important sources of competitive advantage. Not surprisingly, Big Data capabilities are becoming essential for the survival and success for both private and public organizations. In order for organizations to take full advantage of opportunities that Big Data offers, they need to reach a new level of maturity with respect to data analytics. Some researchers view Big Data as a natural extension of Business Intelligence (BI) . Because of that, the current Big Data maturity models are still grounded in the BI era. But the models that have been used for evaluating organizational maturity in relation to BI cannot be used to evaluate organization maturity in relation to Big Data due to the difference in the underlying processes , methodologies, and technologies. This dissertation highlights the theoretical differences between BI and Big Data and empirically explores the key Big Data capabilities via a newly proposed Big Data Maturity Model populated by specific Big Data capabilities at various levels of maturity. The main goal of this research it [sic] to develop a practical model that is suitable for evaluating maturity of various organizations in relation to Big Data. The development of the maturity model goes through two main phases. The first phase is the literature review phase. The literature review highlights the limitations of existing maturity models in relation to Big Data and then uses the Socio-Technical Perspective (STP) and the Resource -Based View (RBW) as its primary theoretical lenses to identify the key capabilities required for working with Big Data. These capabilities fall into the people, technology, and organizational domain. The second phase involves using the developed theoretical model to empirically explore Big Data capabilities among various organizations. The preliminary results suggest that the Big Data model can be used to discriminate among organizations at various levels of maturity in relation to Big Data. In addition to proposing a preliminary theoretical model for understanding what it takes to build Big Data capabilities, this research also provides practical guidance to organizations wishing to improve their Big Data capabilities for the purpose of improving their organizational performance and gaining competitive advantage over their rivals.
Big Data Mba
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Author : Bill Schmarzo
language : en
Publisher: John Wiley & Sons
Release Date : 2015-12-11
Big Data Mba written by Bill Schmarzo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-11 with Computers categories.
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.
2020 Fourth International Conference On Intelligent Computing In Data Sciences Icds
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2020-10-21
2020 Fourth International Conference On Intelligent Computing In Data Sciences Icds written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-21 with categories.
Intelligent computing in data sciences
Big Data
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Author : Bill Schmarzo
language : en
Publisher: John Wiley & Sons
Release Date : 2013-10-07
Big Data written by Bill Schmarzo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-07 with Business & Economics categories.
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.
Research Anthology On Privatizing And Securing Data
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2021-04-23
Research Anthology On Privatizing And Securing Data written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-23 with Computers categories.
With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.
Big Data Research For Social Sciences And Social Impact
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Author : Miltiadis D. Lytras
language : en
Publisher: MDPI
Release Date : 2020-03-19
Big Data Research For Social Sciences And Social Impact written by Miltiadis D. Lytras and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-19 with Technology & Engineering categories.
A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.
Big Data Maturity A Complete Guide 2020 Edition
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2020-03
Big Data Maturity A Complete Guide 2020 Edition written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03 with categories.
How to use big data and machine learning to complement experts and improve existing knowledge? What are the processes for audit reporting and management? What is the problem or issue? What intelligence can you gather? At what cost? This best-selling Big Data Maturity self-assessment will make you the trusted Big Data Maturity domain expert by revealing just what you need to know to be fluent and ready for any Big Data Maturity challenge. How do I reduce the effort in the Big Data Maturity work to be done to get problems solved? How can I ensure that plans of action include every Big Data Maturity task and that every Big Data Maturity outcome is in place? How will I save time investigating strategic and tactical options and ensuring Big Data Maturity costs are low? How can I deliver tailored Big Data Maturity advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Big Data Maturity essentials are covered, from every angle: the Big Data Maturity self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Big Data Maturity outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Big Data Maturity practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Big Data Maturity are maximized with professional results. Your purchase includes access details to the Big Data Maturity self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Big Data Maturity Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Big Data And Analytics
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Author : Vincenzo Morabito
language : en
Publisher: Springer
Release Date : 2015-01-31
Big Data And Analytics written by Vincenzo Morabito and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-31 with Business & Economics categories.
This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.