Analytics: the agile way
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, New Jersey
Wiley
[2017]
|
| Schlagworte: | |
| Online-Zugang: | FCO01 FHA01 FHO01 FHR01 FRO01 FUBA1 UBG01 UBT01 UBY01 UEI01 URL des Erstveröffentlichers |
| Beschreibung: | Praise for Analytics: The Agile Way; Analytics; Wiley & SAS Business Series; Other Books by Phil Simon; Contents; Preface: The Power of Dynamic Data; Figures and Tables; Introduction: It Didn't Used to Be This Way; A Little History Lesson; Analytics and the Need for Speed; How Fast Is Fast Enough?; Automation: Still the Exception That Proves the Rule; Book Scope, Approach, and Style; Breadth over Depth; Methodology: Guidelines > Rules; Technical Sophistication; Vendor Agnosticism; Intended Audience; Plan of Attack; Next; Notes; Part ONE Background and Trends Chapter 1: Signs of the Times: Why Data and Analytics Are Dominating Our WorldThe Moneyball Effect; Digitization and the Great Unbundling; Amazon Web Services and Cloud Computing; Not Your Father's Data Storage; How? Hadoop and the Growth of NoSQL; How Much? Kryder's Law; Moore's Law; The Smartphone Revolution; The Democratization of Data; The Primacy of Privacy; The Internet of Things; The Rise of the Data-Savvy Employee; The Burgeoning Importance of Data Analytics; A Watershed Moment; Common Ground; The Data Business Is Alive and Well and Flourishing; Not Just the Big Five Data-Related ChallengesCompanies Left Behind; The Growth of Analytics Programs; Next; Notes; Chapter 2: The Fundamentals of Contemporary Data: A Primer on What It Is, Why It Matters, and How to Get It; Types of Data; Structured; Semistructured; Unstructured; Metadata; Getting the Data; Generating Data; Buying Data; Data in Motion; Next; Notes; Chapter 3: The Fundamentals of Analytics: Peeling Back the Onion; Defining Analytics; Reporting ≠ Analytics; Types of Analytics; Descriptive Analytics; Predictive Analytics; Prescriptive Analytics; Streaming Data Revisited; A Final Word on Analytics NextNotes; Part TWO Agile Methods and Analytics; Chapter 4: A Better Way to Work: The Benefits and Core Values of Agile Development; The Case against Traditional Analytics Projects; Understandable but Pernicious; A Different Mind-Set at Netflix; Proving the Superiority of Agile Methods; The Case for Guidelines over Rules; Scarcity and Trade-Offs on Agile Projects; The Specific Tenets of Agile Analytics; Next; Notes; Chapter 5: Introducing Scrum: Looking at One of Today's Most Popular Agile Methods; A Very Brief History; Scrum Teams; Product Owner; Scrum Master; Team Member; User Stories Epics: Too BroadToo Narrow/Detailed; Just Right; The Spike: A Special User Story; Backlogs; Sprints and Meetings; Sprint Planning; Daily Stand-Up; Story Time; Demo; Sprint Retrospective; Releases; Estimation Techniques; On Lawns and Relative Estimates; Fibonacci Numbers; T-Shirt Sizes; When Teams Disagree; Other Scrum Artifacts, Tools, and Concepts; Velocities; Burn-Down Charts; Definition of Done and Acceptance Criteria; Kanban Boards; Next; Chapter 6: A Framework for Agile Analytics: A Simple Model for Gathering Insights; Perform Business Discovery; Perform Data Discovery; Prepare the Data |
| Beschreibung: | 1 Online-Ressource (xxix, 268 Seiten) |
| ISBN: | 9781119424215 1119424216 9781119424192 1119424194 9781119424208 |
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| 500 | |a Praise for Analytics: The Agile Way; Analytics; Wiley & SAS Business Series; Other Books by Phil Simon; Contents; Preface: The Power of Dynamic Data; Figures and Tables; Introduction: It Didn't Used to Be This Way; A Little History Lesson; Analytics and the Need for Speed; How Fast Is Fast Enough?; Automation: Still the Exception That Proves the Rule; Book Scope, Approach, and Style; Breadth over Depth; Methodology: Guidelines > Rules; Technical Sophistication; Vendor Agnosticism; Intended Audience; Plan of Attack; Next; Notes; Part ONE Background and Trends | ||
| 500 | |a Chapter 1: Signs of the Times: Why Data and Analytics Are Dominating Our WorldThe Moneyball Effect; Digitization and the Great Unbundling; Amazon Web Services and Cloud Computing; Not Your Father's Data Storage; How? Hadoop and the Growth of NoSQL; How Much? Kryder's Law; Moore's Law; The Smartphone Revolution; The Democratization of Data; The Primacy of Privacy; The Internet of Things; The Rise of the Data-Savvy Employee; The Burgeoning Importance of Data Analytics; A Watershed Moment; Common Ground; The Data Business Is Alive and Well and Flourishing; Not Just the Big Five | ||
| 500 | |a Data-Related ChallengesCompanies Left Behind; The Growth of Analytics Programs; Next; Notes; Chapter 2: The Fundamentals of Contemporary Data: A Primer on What It Is, Why It Matters, and How to Get It; Types of Data; Structured; Semistructured; Unstructured; Metadata; Getting the Data; Generating Data; Buying Data; Data in Motion; Next; Notes; Chapter 3: The Fundamentals of Analytics: Peeling Back the Onion; Defining Analytics; Reporting ≠ Analytics; Types of Analytics; Descriptive Analytics; Predictive Analytics; Prescriptive Analytics; Streaming Data Revisited; A Final Word on Analytics | ||
| 500 | |a NextNotes; Part TWO Agile Methods and Analytics; Chapter 4: A Better Way to Work: The Benefits and Core Values of Agile Development; The Case against Traditional Analytics Projects; Understandable but Pernicious; A Different Mind-Set at Netflix; Proving the Superiority of Agile Methods; The Case for Guidelines over Rules; Scarcity and Trade-Offs on Agile Projects; The Specific Tenets of Agile Analytics; Next; Notes; Chapter 5: Introducing Scrum: Looking at One of Today's Most Popular Agile Methods; A Very Brief History; Scrum Teams; Product Owner; Scrum Master; Team Member; User Stories | ||
| 500 | |a Epics: Too BroadToo Narrow/Detailed; Just Right; The Spike: A Special User Story; Backlogs; Sprints and Meetings; Sprint Planning; Daily Stand-Up; Story Time; Demo; Sprint Retrospective; Releases; Estimation Techniques; On Lawns and Relative Estimates; Fibonacci Numbers; T-Shirt Sizes; When Teams Disagree; Other Scrum Artifacts, Tools, and Concepts; Velocities; Burn-Down Charts; Definition of Done and Acceptance Criteria; Kanban Boards; Next; Chapter 6: A Framework for Agile Analytics: A Simple Model for Gathering Insights; Perform Business Discovery; Perform Data Discovery; Prepare the Data | ||
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Simon, Phil |
| author_facet | Simon, Phil |
| author_role | aut |
| author_sort | Simon, Phil |
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/033 |
| dewey-search | 658.4/033 |
| dewey-sort | 3658.4 233 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV044436276 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:52:54Z |
| institution | BVB |
| isbn | 9781119424215 1119424216 9781119424192 1119424194 9781119424208 |
| language | English |
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| oclc_num | 1002261892 |
| open_access_boolean | |
| owner | DE-706 DE-861 DE-898 DE-BY-UBR DE-703 DE-824 DE-188 DE-473 DE-BY-UBG DE-1051 DE-858 DE-Aug4 |
| owner_facet | DE-706 DE-861 DE-898 DE-BY-UBR DE-703 DE-824 DE-188 DE-473 DE-BY-UBG DE-1051 DE-858 DE-Aug4 |
| physical | 1 Online-Ressource (xxix, 268 Seiten) |
| psigel | ZDB-35-WIC ZDB-35-UBC FHR_PDA_WIC_Kauf FHA_PDA_WIC_Kauf ZDB-35-WIC FCO_PDA_WIC_Kauf ZDB-35-WIC FHA_PDA_WIC_Kauf ZDB-35-UBC Einzelkauf ZDB-35-WIC FHR_PDA_WIC_Kauf ZDB-35-WIC FRO_PDA_WIC ZDB-35-WIC UBG_PDA_WIC_Kauf19 ZDB-35-WIC UBT_PDA_WIC_Kauf ZDB-35-WIC UBY_PDA_WIC_Kauf ZDB-35-WIC UEI_PDA_WIC_Kauf |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Wiley |
| record_format | marc |
| spelling | Simon, Phil Verfasser aut Analytics the agile way Phil Simon Hoboken, New Jersey Wiley [2017] 1 Online-Ressource (xxix, 268 Seiten) txt rdacontent c rdamedia cr rdacarrier Praise for Analytics: The Agile Way; Analytics; Wiley & SAS Business Series; Other Books by Phil Simon; Contents; Preface: The Power of Dynamic Data; Figures and Tables; Introduction: It Didn't Used to Be This Way; A Little History Lesson; Analytics and the Need for Speed; How Fast Is Fast Enough?; Automation: Still the Exception That Proves the Rule; Book Scope, Approach, and Style; Breadth over Depth; Methodology: Guidelines > Rules; Technical Sophistication; Vendor Agnosticism; Intended Audience; Plan of Attack; Next; Notes; Part ONE Background and Trends Chapter 1: Signs of the Times: Why Data and Analytics Are Dominating Our WorldThe Moneyball Effect; Digitization and the Great Unbundling; Amazon Web Services and Cloud Computing; Not Your Father's Data Storage; How? Hadoop and the Growth of NoSQL; How Much? Kryder's Law; Moore's Law; The Smartphone Revolution; The Democratization of Data; The Primacy of Privacy; The Internet of Things; The Rise of the Data-Savvy Employee; The Burgeoning Importance of Data Analytics; A Watershed Moment; Common Ground; The Data Business Is Alive and Well and Flourishing; Not Just the Big Five Data-Related ChallengesCompanies Left Behind; The Growth of Analytics Programs; Next; Notes; Chapter 2: The Fundamentals of Contemporary Data: A Primer on What It Is, Why It Matters, and How to Get It; Types of Data; Structured; Semistructured; Unstructured; Metadata; Getting the Data; Generating Data; Buying Data; Data in Motion; Next; Notes; Chapter 3: The Fundamentals of Analytics: Peeling Back the Onion; Defining Analytics; Reporting ≠ Analytics; Types of Analytics; Descriptive Analytics; Predictive Analytics; Prescriptive Analytics; Streaming Data Revisited; A Final Word on Analytics NextNotes; Part TWO Agile Methods and Analytics; Chapter 4: A Better Way to Work: The Benefits and Core Values of Agile Development; The Case against Traditional Analytics Projects; Understandable but Pernicious; A Different Mind-Set at Netflix; Proving the Superiority of Agile Methods; The Case for Guidelines over Rules; Scarcity and Trade-Offs on Agile Projects; The Specific Tenets of Agile Analytics; Next; Notes; Chapter 5: Introducing Scrum: Looking at One of Today's Most Popular Agile Methods; A Very Brief History; Scrum Teams; Product Owner; Scrum Master; Team Member; User Stories Epics: Too BroadToo Narrow/Detailed; Just Right; The Spike: A Special User Story; Backlogs; Sprints and Meetings; Sprint Planning; Daily Stand-Up; Story Time; Demo; Sprint Retrospective; Releases; Estimation Techniques; On Lawns and Relative Estimates; Fibonacci Numbers; T-Shirt Sizes; When Teams Disagree; Other Scrum Artifacts, Tools, and Concepts; Velocities; Burn-Down Charts; Definition of Done and Acceptance Criteria; Kanban Boards; Next; Chapter 6: A Framework for Agile Analytics: A Simple Model for Gathering Insights; Perform Business Discovery; Perform Data Discovery; Prepare the Data BUSINESS & ECONOMICS / Industrial Management / bisacsh BUSINESS & ECONOMICS / Management / bisacsh BUSINESS & ECONOMICS / Management Science / bisacsh BUSINESS & ECONOMICS / Organizational Behavior / bisacsh Datenverarbeitung Wirtschaft Business intelligence / Data processing Decision making Agilität Management (DE-588)1123527725 gnd rswk-swf Agilität Management (DE-588)1123527725 s DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-119-42347-8 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119424215 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Simon, Phil Analytics the agile way BUSINESS & ECONOMICS / Industrial Management / bisacsh BUSINESS & ECONOMICS / Management / bisacsh BUSINESS & ECONOMICS / Management Science / bisacsh BUSINESS & ECONOMICS / Organizational Behavior / bisacsh Datenverarbeitung Wirtschaft Business intelligence / Data processing Decision making Agilität Management (DE-588)1123527725 gnd |
| subject_GND | (DE-588)1123527725 |
| title | Analytics the agile way |
| title_auth | Analytics the agile way |
| title_exact_search | Analytics the agile way |
| title_full | Analytics the agile way Phil Simon |
| title_fullStr | Analytics the agile way Phil Simon |
| title_full_unstemmed | Analytics the agile way Phil Simon |
| title_short | Analytics |
| title_sort | analytics the agile way |
| title_sub | the agile way |
| topic | BUSINESS & ECONOMICS / Industrial Management / bisacsh BUSINESS & ECONOMICS / Management / bisacsh BUSINESS & ECONOMICS / Management Science / bisacsh BUSINESS & ECONOMICS / Organizational Behavior / bisacsh Datenverarbeitung Wirtschaft Business intelligence / Data processing Decision making Agilität Management (DE-588)1123527725 gnd |
| topic_facet | BUSINESS & ECONOMICS / Industrial Management / bisacsh BUSINESS & ECONOMICS / Management / bisacsh BUSINESS & ECONOMICS / Management Science / bisacsh BUSINESS & ECONOMICS / Organizational Behavior / bisacsh Datenverarbeitung Wirtschaft Business intelligence / Data processing Decision making Agilität Management |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781119424215 |
| work_keys_str_mv | AT simonphil analyticstheagileway |