Data Analytics Applications a Complete Guide

Data Analytics Applications a Complete Guide
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 128
Release: 2018-01-27
Genre:
ISBN: 9780655152842

How likely is the current Data Analytics Applications plan to come in on schedule or on budget? How can you negotiate Data Analytics Applications successfully with a stubborn boss, an irate client, or a deceitful coworker? When a Data Analytics Applications manager recognizes a problem, what options are available? How do you assess your Data Analytics Applications workforce capability and capacity needs, including skills, competencies, and staffing levels? How are the Data Analytics Applications's objectives aligned to the organization's overall business strategy? This exclusive Data Analytics Applications self-assessment will make you the trusted Data Analytics Applications domain expert by revealing just what you need to know to be fluent and ready for any Data Analytics Applications challenge. How do I reduce the effort in the Data Analytics Applications work to be done to get problems solved? How can I ensure that plans of action include every Data Analytics Applications task and that every Data Analytics Applications outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Analytics Applications opportunity costs are low? How can I deliver tailored Data Analytics Applications 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 Data Analytics Applications essentials are covered, from every angle: the Data Analytics Applications self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Data Analytics Applications outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Analytics Applications practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Analytics Applications are maximized with professional results. Your purchase includes access details to the Data Analytics Applications 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.

Guide to Big Data Applications

Guide to Big Data Applications
Author: S. Srinivasan
Publisher: Springer
Total Pages: 567
Release: 2017-05-25
Genre: Technology & Engineering
ISBN: 3319538179

This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications
Author: Ken Yale
Publisher: Elsevier
Total Pages: 824
Release: 2017-11-09
Genre: Mathematics
ISBN: 0124166458

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Data Analytics Applications A Complete Guide - 2020 Edition

Data Analytics Applications A Complete Guide - 2020 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 312
Release: 2019-09-29
Genre:
ISBN: 9780655929413

Will it protect the assured, proper, and consistent collection, processing, communication, use and disposition of personally identifiable information in the relation to cloud services? Is it practical to move the data to an environment where the processing can be performed efficiently, or is it better to think about moving the processing to the data? Are you providing accurate/timely outage information? Are you under/over communicating? How do you protect the assured, proper, and consistent collection, processing, communication, use and disposition of personally identifiable information in the relation to cloud services? This easy Data Analytics Applications self-assessment will make you the reliable Data Analytics Applications domain master by revealing just what you need to know to be fluent and ready for any Data Analytics Applications challenge. How do I reduce the effort in the Data Analytics Applications work to be done to get problems solved? How can I ensure that plans of action include every Data Analytics Applications task and that every Data Analytics Applications outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Analytics Applications costs are low? How can I deliver tailored Data Analytics Applications 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 Data Analytics Applications essentials are covered, from every angle: the Data Analytics Applications self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Analytics Applications outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Analytics Applications 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 Data Analytics Applications are maximized with professional results. Your purchase includes access details to the Data Analytics Applications 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 Data Analytics Applications 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.

Analytics in a Big Data World

Analytics in a Big Data World
Author: Bart Baesens
Publisher: John Wiley & Sons
Total Pages: 262
Release: 2014-04-15
Genre: Business & Economics
ISBN: 1118892747

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.

Data Analytics Applications A Complete Guide - 2019 Edition

Data Analytics Applications A Complete Guide - 2019 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 318
Release: 2019-06-22
Genre:
ISBN: 9780655803447

How do different log parsers affect the results of log mining? What is the data involved, how big is it and where is it located? Are you under/over communicating? How timely was the data reported? Will it protect the assured, proper, and consistent collection, processing, communication, use and disposition of personally identifiable information in the relation to cloud services? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, 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 Data Analytics Applications investments work better. This Data Analytics Applications All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data Analytics Applications Self-Assessment. Featuring 984 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Analytics Applications improvements can be made. In using the questions you will be better able to: - diagnose Data Analytics Applications 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 Data Analytics Applications and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Analytics Applications Scorecard, you will develop a clear picture of which Data Analytics Applications areas need attention. Your purchase includes access details to the Data Analytics Applications self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. 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 Data Analytics Applications 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.

Data Analytics Application A Complete Guide - 2019 Edition

Data Analytics Application A Complete Guide - 2019 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 320
Release: 2019-06-27
Genre:
ISBN: 9780655807391

Do weather conditions impact data quality? Will it allow users to retrieve their data and their application artifacts and to have strong assurance that the cloud service provider will delete all copies and not retain any materials belonging to the cloud service customer after an agreed period? Are you under/over communicating? How does data volume impact quality? Will it meet the latency, response time, concurrency, and throughput metrics and thresholds specified in a service level agreement? This exclusive Data Analytics Application self-assessment will make you the credible Data Analytics Application domain visionary by revealing just what you need to know to be fluent and ready for any Data Analytics Application challenge. How do I reduce the effort in the Data Analytics Application work to be done to get problems solved? How can I ensure that plans of action include every Data Analytics Application task and that every Data Analytics Application outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Analytics Application costs are low? How can I deliver tailored Data Analytics Application 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 Data Analytics Application essentials are covered, from every angle: the Data Analytics Application self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Analytics Application outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Analytics Application 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 Data Analytics Application are maximized with professional results. Your purchase includes access details to the Data Analytics Application 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 Data Analytics Application 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.

Data Analytics: Principles, Tools, and Practices

Data Analytics: Principles, Tools, and Practices
Author: Gaurav Aroraa
Publisher: BPB Publications
Total Pages: 481
Release: 2022-01-24
Genre: Antiques & Collectibles
ISBN: 9388511956

A Complete Data Analytics Guide for Learners and Professionals. KEY FEATURES ● Learn Big Data, Hadoop Architecture, HBase, Hive and NoSQL Database. ● Dive into Machine Learning, its tools, and applications. ● Coverage of applications of Big Data, Data Analysis, and Business Intelligence. DESCRIPTION These days critical problem solving related to data and data sciences is in demand. Professionals who can solve real data science problems using data science tools are in demand. The book “Data Analytics: Principles, Tools, and Practices” can be considered a handbook or a guide for professionals who want to start their journey in the field of data science. The journey starts with the introduction of DBMS, RDBMS, NoSQL, and DocumentDB. The book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization. The book covers the different types of analysis, different Hadoop ecosystem tools like Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. It also includes the different machine learning techniques that are useful for data analytics and how to visualize data with different graphs and charts. The book discusses useful tools and approaches for data analytics, supported by concrete code examples. After reading this book, you will be motivated to explore real data analytics and make use of the acquired knowledge on databases, BI/DW, data visualization, Big Data tools, and statistical science. WHAT YOU WILL LEARN ● Familiarize yourself with Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. ● Learn to manage data warehousing with real time transaction processing. ● Explore various machine learning techniques that apply to data analytics. ● Learn how to visualize data using a variety of graphs and charts using real-world examples from the industry. ● Acquaint yourself with Big Data tools and statistical techniques for machine learning. WHO THIS BOOK IS FOR IT graduates, data engineers and entry-level professionals who have a basic understanding of the tools and techniques but want to learn more about how they fit into a broader context are encouraged to read this book. TABLE OF CONTENTS 1. Database Management System 2. Online Transaction Processing and Data Warehouse 3. Business Intelligence and its deeper dynamics 4. Introduction to Data Visualization 5. Advanced Data Visualization 6. Introduction to Big Data and Hadoop 7. Application of Big Data Real Use Cases 8. Application of Big Data 9. Introduction to Machine Learning 10. Advanced Concepts to Machine Learning 11. Application of Machine Learning

Data Analytics in Project Management

Data Analytics in Project Management
Author: Seweryn Spalek
Publisher: Taylor & Francis Group/CRC Press
Total Pages: 11
Release: 2019-01-01
Genre: Business & Economics
ISBN: 1138307289

Data Analytics in Project Management. Data analytics plays a crucial role in business analytics. Without a rigid approach to analyzing data, there is no way to glean insights from it. Business analytics ensures the expected value of change while that change is implemented by projects in the business environment. Due to the significant increase in the number of projects and the amount of data associated with them, it is crucial to understand the areas in which data analytics can be applied in project management. This book addresses data analytics in relation to key areas, approaches, and methods in project management. It examines: • Risk management • The role of the project management office (PMO) • Planning and resource management • Project portfolio management • Earned value method (EVM) • Big Data • Software support • Data mining • Decision-making • Agile project management Data analytics in project management is of increasing importance and extremely challenging. There is rapid multiplication of data volumes, and, at the same time, the structure of the data is more complex. Digging through exabytes and zettabytes of data is a technological challenge in and of itself. How project management creates value through data analytics is crucial. Data Analytics in Project Management addresses the most common issues of applying data analytics in project management. The book supports theory with numerous examples and case studies and is a resource for academics and practitioners alike. It is a thought-provoking examination of data analytics applications that is valuable for projects today and those in the future.