HBR Guide to Data Analytics Basics for Managers [understand the numbers, make better decisions, present and persuade]
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| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Boston, Massachusetts
Harvard Business Review Press
[2017]
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| Schriftenreihe: | Harvard Business Review guides
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| Online-Zugang: | Inhaltsverzeichnis |
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Datensatz im Suchindex
| _version_ | 1819623397868437504 |
|---|---|
| adam_text | Contents
Introduction i
Why you need to understand data analytics.
SECTION ONE
Getting Started
1. Are You Data-Driven? 9
72 traits managers should embrace.
BY THOMAS C. REDMAN
2. Keep Up with Your Quants 15
An innumerate’s guide to navigating big
data.
BY THOMAS H. DAVENPORT
3. A Simple Exercise to Help You Think Like
a Data Scientist 27
An easy way to learn the process of
data analytics.
BY THOMAS C. REDMAN
Contents
SECTION TWO
Gather the Right information
4. Do You Need All That Data?
Questions to ask for a focused search.
BY RON ASHKENAS
5. How to Ask Your Data Scientists for Data
and Analytics
Factors to keep in mind to get the
information you need.
BY MICHAEL LU MADINA KASSENGALIYEVA,
AND RAYMOND PERKINS
6. How to Design a Business Experiment
Seven tips for using the scientific method.
BY OLIVER HAUSER AND MICHAEL LUCA
7. Know the Difference Between Your Data
and Your Metrics
Understand what you’re measuring.
BY JEFF BLADT AND BOB FILBIN
8. The Secret to Better Netflix
Recommendations—and Better Decision
Making
Sometimes less information is more.
BY JEFF STIBEL
9. Can Your Data Be Trusted?
Gauge whether your data is safe to use.
BY THOMAS C. REDMAN
Contents
SECTION THREE
Analyze the Data
io. Two Ways to Keep Your Data from
Tricking You 73
Have a hypothesis and look for interactions.
BY ART MARKMAN
n. A Predictive Analytics Primer 77
Look to the future by looking at the past.
BY THOMAS H. DAVENPORT
12. Understanding Regression Analysis 83
Evaluate the relationship between variables.
BY AMY GALLO
13. When to Act On a Correlation, and
When Not To 99
Assess your confidence in your findings and
the risk of being wrong.
BY DAVID RITTER
14. A Manager’s Guide to Machine Learning
and Automated Algorithms 107
What they can do and what to watch out for.
BY MICHAEL YEOMANS
15. A Refresher on Statistical Significance 117
Check if your results are real or just luck.
BY AMY GALLO
16. Pitfalls of Data-Driven Decisions 127
The cognitive traps to avoid.
BY MEGAN MacGARVIE AND KRISTINA McELHERAN
ix
Contents
17. Do Your Analytics Cheat the Truth? 137
Don’t ignore the outliers.
BY MICHAEL SCHRAGE
SECTION FOUR
Communicate Your Findings
18. Data Is Worthless If You Don’t
Communicate It 143
Tell people what it means.
BY THOMAS H. DAVENPORT
19. What IBM Teaches Us About Sharing
Data Findings 147
How to write a clean, effective report.
BY JOHN BALDONI
20. When Data Visualization Works—and When
It Doesn’t 151
Not all data is worth the effort.
BY JIM STIKELEATHER
21. How to Make Visuals That Pop and Persuade 157
Five questions to help give your numbers
meaning.
BY NANCY DUARTE
22. Decisions Don’t Start with Data 165
Influence others through story and emotion.
BY NICK MORGAN
X
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| illustrated | Not Illustrated |
| indexdate | 2024-12-24T05:36:14Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029378802 |
| oclc_num | 969535139 |
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| owner_facet | DE-473 DE-BY-UBG |
| physical | X, 167 Seiten |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Harvard Business Review Press |
| record_format | marc |
| series2 | Harvard Business Review guides |
| spellingShingle | HBR Guide to Data Analytics Basics for Managers [understand the numbers, make better decisions, present and persuade] Datenanalyse (DE-588)4123037-1 gnd Wirtschaftsstatistik (DE-588)4066517-3 gnd Wirtschaftsinformatik (DE-588)4112736-5 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4066517-3 (DE-588)4112736-5 |
| title | HBR Guide to Data Analytics Basics for Managers [understand the numbers, make better decisions, present and persuade] |
| title_auth | HBR Guide to Data Analytics Basics for Managers [understand the numbers, make better decisions, present and persuade] |
| title_exact_search | HBR Guide to Data Analytics Basics for Managers [understand the numbers, make better decisions, present and persuade] |
| title_full | HBR Guide to Data Analytics Basics for Managers [understand the numbers, make better decisions, present and persuade] |
| title_fullStr | HBR Guide to Data Analytics Basics for Managers [understand the numbers, make better decisions, present and persuade] |
| title_full_unstemmed | HBR Guide to Data Analytics Basics for Managers [understand the numbers, make better decisions, present and persuade] |
| title_short | HBR Guide to Data Analytics Basics for Managers |
| title_sort | hbr guide to data analytics basics for managers understand the numbers make better decisions present and persuade |
| title_sub | [understand the numbers, make better decisions, present and persuade] |
| topic | Datenanalyse (DE-588)4123037-1 gnd Wirtschaftsstatistik (DE-588)4066517-3 gnd Wirtschaftsinformatik (DE-588)4112736-5 gnd |
| topic_facet | Datenanalyse Wirtschaftsstatistik Wirtschaftsinformatik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029378802&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |