Business analytics: combining data, analysis & judgement to inform decisions
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
London
Sage
[2023]
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xiv, 219 Seiten Diagramme |
| ISBN: | 9781529796124 9781529796117 |
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CONTENTS ix xi xiii xv Acknowledgements About the Author Preface Online Resources 1 How Data and Analytics Can Enhance Human Decision-Making in Organisations 1 What will you learn from this chapter? What are business analytics? Statistics Explainer: Populations and samples What about judgement? How data, analytics, and judgement can combine to enhance human decision-making in organisations Planning analytics projects Summary Analytics in Practice: Using data to make decisions in a pandemic Running Case Study: 4tE, part 1 Exercises 2 3 Why Organisational, Legal, Cultural, and Ethical Considerations Shape What Can and Should be Done WithData and Analytics 1 1 2 3 3 6 9 10 12 13 15 What will you learn from this chapter? Organisational considerations Legal considerations Cultural considerations Ethical considerations Summary Analytics in Practice: Opening New Zealand’s data- thoughtfully Running Case Study: 4tE, part 2 Exercises 15 15 21 26 28 32 33 36 37 Preparing to Work With Data 39 What will you learn from this chapter? Common categories and sources of organisational data 39 39
vi 4 5 CONTENTS Statistics Explainer: Big Data Matching data to questions and problems How data is typically stored and structured Challenges in building and preparing a dataset Data cleaning Statistics Explainer: Imputation Types of variables, and why this matters Summary Running Case Study: 4tE, part 3 Exercises 41 43 45 46 47 49 52 55 56 57 Analysis Fundamentals 59 What will you learn from this chapter? How to quantify qualitative data Answering different types of questions with different types of data Statistics Explainer: Normal distributions How to implement different analytical techniques in Excel How to use and interpret some basic statistical tests in Excel, and when they are relevant Summary Running Case Study: 4tE, part 4 Exercises 59 59 62 66 71 Communicating Analytical Results 99 What will you learn from this chapter? Know your audience Be clear about your objective General data visualisation principles Common forms of data visualisation Assembling a collection of results into an accurate, insightful, coherent, and actionable narrative Evaluating data-driven communications Summary Analytics in Practice: Showing future energy scenarios Running Case Study: 4tE, part 5 Exercises 6 79 96 97 98 99 99 104 106 110 121 127 128 129 131 131 Marketing Analytics 133 What will you learn from this chapter? Using analytics to evaluate market opportunities Using analytics to understand customers 133 133 137
CONTENTS 7 8 9 Vil Using analytics to design and manage marketing communications Using analytics to set prices Using analytics to manage distribution channels Using analytics to develop new products Using analytics to group customers or potential customers Summary Analytics in Practice: Beautiful models rely on a good foundation Running Case Study: 4tE, part 6 Exercises 140 142 144 146 148 150 150 152 153 HR/People Analytics 155 What will you learn from this chapter? Using analytics to measure employee performance Using analytics to monitor diversity, equity, and inclusion(DEI) Using analytics to see what employees are doing Using analytics to assess the effectiveness of training Using analytics to evaluate employee satisfaction Using analytics to identify and recruit employees (talentacquisition) Summary Analytics in Practice: The perils and potential of people analytics Running Case Study: 4tE, part 7 Exercises 155 155 158 160 163 165 167 169 170 171 172 Operational Analytics 173 What will you learn from this chapter? Using analytics to manage supply chains Using analytics to operate more sustainably Using analytics for predictive maintenance Using analytics to detect fraudulent activity Using analytics to manage organisation-specific operations Summary Running Case Study: 4tE, part 8 Exercises 173 173 175 177 178 180 182 182 183 Financial Analytics 185 What will you learn from this chapter? Using analytics to understand the financial consequences of marketing decisions Using analytics to understand the financial consequences of HR decisions Using analytics to understand
the financial consequences of operational decisions 185 185 187 189
CONTENTS vlil Using analytics to price risk Using analytics to understand the financial position of an organisation overall (including competitors) Summary Analytics in Practice: Predicting the price of perils Running Case Study: 4tE, part 9 Exercises 10 The Future of Data and Analytics What will you learn from this chapter? Technologies that haye implications for the future of business analytics Business analytics and you Final thoughts Analytics in Practice: Evolving analytics for augmented reality Running Case Study: 4tE, part 10 Exercises Glossary References Index 190 192 193 194 197 198 199 199 199 202 203 205 206 207 209 213 215 |
| adam_txt |
CONTENTS ix xi xiii xv Acknowledgements About the Author Preface Online Resources 1 How Data and Analytics Can Enhance Human Decision-Making in Organisations 1 What will you learn from this chapter? What are business analytics? Statistics Explainer: Populations and samples What about judgement? How data, analytics, and judgement can combine to enhance human decision-making in organisations Planning analytics projects Summary Analytics in Practice: Using data to make decisions in a pandemic Running Case Study: 4tE, part 1 Exercises 2 3 Why Organisational, Legal, Cultural, and Ethical Considerations Shape What Can and Should be Done WithData and Analytics 1 1 2 3 3 6 9 10 12 13 15 What will you learn from this chapter? Organisational considerations Legal considerations Cultural considerations Ethical considerations Summary Analytics in Practice: Opening New Zealand’s data- thoughtfully Running Case Study: 4tE, part 2 Exercises 15 15 21 26 28 32 33 36 37 Preparing to Work With Data 39 What will you learn from this chapter? Common categories and sources of organisational data 39 39
vi 4 5 CONTENTS Statistics Explainer: Big Data Matching data to questions and problems How data is typically stored and structured Challenges in building and preparing a dataset Data cleaning Statistics Explainer: Imputation Types of variables, and why this matters Summary Running Case Study: 4tE, part 3 Exercises 41 43 45 46 47 49 52 55 56 57 Analysis Fundamentals 59 What will you learn from this chapter? How to quantify qualitative data Answering different types of questions with different types of data Statistics Explainer: Normal distributions How to implement different analytical techniques in Excel How to use and interpret some basic statistical tests in Excel, and when they are relevant Summary Running Case Study: 4tE, part 4 Exercises 59 59 62 66 71 Communicating Analytical Results 99 What will you learn from this chapter? Know your audience Be clear about your objective General data visualisation principles Common forms of data visualisation Assembling a collection of results into an accurate, insightful, coherent, and actionable narrative Evaluating data-driven communications Summary Analytics in Practice: Showing future energy scenarios Running Case Study: 4tE, part 5 Exercises 6 79 96 97 98 99 99 104 106 110 121 127 128 129 131 131 Marketing Analytics 133 What will you learn from this chapter? Using analytics to evaluate market opportunities Using analytics to understand customers 133 133 137
CONTENTS 7 8 9 Vil Using analytics to design and manage marketing communications Using analytics to set prices Using analytics to manage distribution channels Using analytics to develop new products Using analytics to group customers or potential customers Summary Analytics in Practice: Beautiful models rely on a good foundation Running Case Study: 4tE, part 6 Exercises 140 142 144 146 148 150 150 152 153 HR/People Analytics 155 What will you learn from this chapter? Using analytics to measure employee performance Using analytics to monitor diversity, equity, and inclusion(DEI) Using analytics to see what employees are doing Using analytics to assess the effectiveness of training Using analytics to evaluate employee satisfaction Using analytics to identify and recruit employees (talentacquisition) Summary Analytics in Practice: The perils and potential of people analytics Running Case Study: 4tE, part 7 Exercises 155 155 158 160 163 165 167 169 170 171 172 Operational Analytics 173 What will you learn from this chapter? Using analytics to manage supply chains Using analytics to operate more sustainably Using analytics for predictive maintenance Using analytics to detect fraudulent activity Using analytics to manage organisation-specific operations Summary Running Case Study: 4tE, part 8 Exercises 173 173 175 177 178 180 182 182 183 Financial Analytics 185 What will you learn from this chapter? Using analytics to understand the financial consequences of marketing decisions Using analytics to understand the financial consequences of HR decisions Using analytics to understand
the financial consequences of operational decisions 185 185 187 189
CONTENTS vlil Using analytics to price risk Using analytics to understand the financial position of an organisation overall (including competitors) Summary Analytics in Practice: Predicting the price of perils Running Case Study: 4tE, part 9 Exercises 10 The Future of Data and Analytics What will you learn from this chapter? Technologies that haye implications for the future of business analytics Business analytics and you Final thoughts Analytics in Practice: Evolving analytics for augmented reality Running Case Study: 4tE, part 10 Exercises Glossary References Index 190 192 193 194 197 198 199 199 199 202 203 205 206 207 209 213 215 |
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| spelling | Gordon, Mary Ellen Verfasser aut Business analytics combining data, analysis & judgement to inform decisions Mary Ellen Gordon London Sage [2023] © 2023 xiv, 219 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Unternehmen (DE-588)4061963-1 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Betriebsdaten (DE-588)4145038-3 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Unternehmen (DE-588)4061963-1 s Betriebsdaten (DE-588)4145038-3 s Datenanalyse (DE-588)4123037-1 s DE-604 Erscheint auch als Online-Ausgabe, PDF 978-1-5296-1600-2 Erscheint auch als Online-Ausgabe 978-1-5296-1598-2 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034356522&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gordon, Mary Ellen Business analytics combining data, analysis & judgement to inform decisions Unternehmen (DE-588)4061963-1 gnd Datenanalyse (DE-588)4123037-1 gnd Betriebsdaten (DE-588)4145038-3 gnd |
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| title | Business analytics combining data, analysis & judgement to inform decisions |
| title_auth | Business analytics combining data, analysis & judgement to inform decisions |
| title_exact_search | Business analytics combining data, analysis & judgement to inform decisions |
| title_exact_search_txtP | Business analytics combining data, analysis & judgement to inform decisions |
| title_full | Business analytics combining data, analysis & judgement to inform decisions Mary Ellen Gordon |
| title_fullStr | Business analytics combining data, analysis & judgement to inform decisions Mary Ellen Gordon |
| title_full_unstemmed | Business analytics combining data, analysis & judgement to inform decisions Mary Ellen Gordon |
| title_short | Business analytics |
| title_sort | business analytics combining data analysis judgement to inform decisions |
| title_sub | combining data, analysis & judgement to inform decisions |
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