People analytics:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, New Jersey
John Wiley & Sons
[2019]
|
| Schriftenreihe: | ... for dummies
learning made easy |
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030645217&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Auf dem Umschlag: People analytics for dummies Auf dem Umschlag: "Learn how top companies use people analytics, analyze data to quantify your investment in people, use feedback to create a winning people culture" |
| Umfang: | xiv, 439 Seiten Illustrationen, Diagramme |
| ISBN: | 9781119434764 |
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Datensatz im Suchindex
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|---|---|
| adam_text | Table of Contents INTRODUCTION.............. ...........................................................................1 About This Book........................................................................................1 Foolish Assumptions...................................................... 2 Icons Used in This Book...................................................... .................. 3 How This Book is Organized..................................................................3 Part 1: Getting Started with People Analytics..................................3 Part 2: Elevating Your Perspective...................................................4 Part 3: Quantifying the Employee Journey........................................4 Part 4: Improving Your Game Plan with Science and Statistics.................................... 5 Part 5: The Part of Tens.....................................................................5 Beyond the Book......................................................................................5 Where to Go from Here.......................................................................... 7 PART 1: GETTING STARTED WITH PEOPLE ANALYTICS....... 9 CHAPTER 1: Introducing People Analytics...............................................11 Defining People Analytics.......................................................................12 Solving business problems by asking questions............................ 14 Using people data in business analysis.......................................... 19 Applying statistics to people
management.................................... 20 Combining people strategy, science, statistics, and systems....... 21 Blazing a New Trail for Executive Influence and Business Impact... .22 Moving from old HR to new HR...................................................... 22 Using data for continuous improvement........................................ 24 Accounting for people in business results...................................... 24 Competing in the New Management Frontier.................................... 25 CHAPTER 2: Making the Business Case for People Analytics.......................................................................... 27 Getting Executives to Buy into People Analytics.................................. 29 Getting started with the ABCs......................................................... 29 Creating clarity is essential...... ........................................................ 30 Business case dreams are made of problems, needs, goals....... 30 Tailoring to the decision maker................................. 31 Peeling the onion.................................... 32 Identifying people problems...........................................................34 Taking feelings seriously...................................................................35 Saving time and money............................................... 36 Leading the field (analytically)......................................................... 37 Table of Contents ѴІІ
People Analytics as a Decision Support Tool.........................................38 Formalizing the Business Case................................................................40 Presenting the Business Case.................................................................. 41 CHAPTER 3: Contrasting People Analytics Approaches................. 43 Figuring Out What You Are After: Efficiency or Insight.......................44 Efficiency.............................................................................................. 44 Insight.................................................................................................. 45 Having your cake and eating it too.................................................. 46 Deciding on a Method of Planning......................................................... 47 Waterfall project management..........................................................47 Agile project management.................................................................47 Choosing a Mode of Operation...............................................................50 Centralized.......................................................................................... 51 Distributed.......................................................................................... 52 PART 2: ELEVATING YOUR PERSPECTIVE........................................55 CHAPTER 4: Segmenting for Perspective..................................................57 Segmenting Based on Basic Employee Facts....................................... 58 Just the facts,
ma am ....................................................................... 58 The brave new world of segmentation is psychographic and social.................................................................... 62 Visualizing Headcount by Segment.......................................................... 62 Analyzing Metrics by Segment.................................................................. 63 Understanding Segmentation Hierarchies.............................................65 Creating Calculated Segments.................................................................. 68 Company tenure.................................................................................. 68 More calculated segment examples...................................................72 Cross-Tabbing for Insight......................................................................... 74 Setting up a dataset for cross-tabs.....................................................74 Getting started with cross-tabs...........................................................75 Good Advice for Segmenting.................................................. CHAPTER 5: Finding Useful Insight in Differences............................... 79 Defining Strategy.........................................................................................80 Focusing on product differentiators................................................... 83 Identifying key jobs...............................................................................85 Identifying the characteristics of key
talent....................................... 86 Measuring If Your Company is Concentrating Its Resources................87 Concentrating spending on key jobs................................................. 88 Concentrating spending on highest performers..............................88 Finding Differences Worth Creating......................................................... 93 ѴІІІ People Analytics For Dummies 7
CHAPTER 6: Estimating Lifetime Value......................................................... 95 Introducing Employee Lifetime Value.......................................................96 Understanding Why ELV Is Important.................................................... 97 Applying ELV................................................................................................ 99 Calculating Lifetime Value.................. ................................................... 101 Estimating human capital ROI...........................................................102 Estimating average annual compensation cost per segment................................................................................ 103 Estimating average lifetime tenure per segment.......................... 103 Calculating the simple ELV per segment by multiplying..................................... 104 Refining the simple ELV calculation................................................ 106 Identifying the highest-value-producing employee segments........ ............................................... 107 Making Better Time-and-Resource Decisions with ELV............... 108 Drawing Some Bottom Lines.................................................................. 109 CHAPTER 7: Activating Value............................................................................111 Introducing Activated Value.................................................................... 113 The Origin and Purpose of Activated Value......................................... .114 The imitation
trap.............................................................................. 114 The need to streamline your efforts................................................ 116 Measuring Activation.............................................................................. 118 The calculation nitty-gritty................................................................ 121 Combining Lifetime Value and Activation with Net Activated Value (NAV)...... .................... 126 Using Activation for Business Impact.................................................... 128 Gaining business buy-in on the people analytics research plan...................................................................................... 128 Analyzing problems and designing solutions................................ 129 Supporting managers........................................................................ 130 Supporting organizational change.................................................. 130 Taking Stock.............................................................................................. 130 PART 3: QUANTIFYING THE EMPLOYEE JOURNEY............. 131 CHAPTER 8: Mapping the Employee Journey..........................................ізз Standing on the Shoulders of Customer Journey Maps.................... 135 Why an Employee Journey Map?............................................................ 141 Creating Your Own Employee Journey Map.........................................143 Mapping your map............................................................................ 143 Getting
data........................................................................................ 144 Using Surveys to Get a Handle on the Employee Journey.................. 145 Pre-Recruiting Market Research Survey.......................................... 145 Table of Contents ІХ
Pre-Onsite-Iinterview survey.........................................................148 Post-Onsite-Interview survey....................................................... 148 Post-Hire Reverse Exit Interview survey...................................... 149 14-Day On-Board survey.............................................................150 90-Day On-Board Survey.............................................................151 Once-Per-Quarter Check-In survey.............................................. 152 Once-Per-Year Check-In survey................................................... 153 Key Talent Exit Survey.................................................................. 155 Making the Employee Journey Map More Useful............................. 157 Using the Feedback You Get to Increase Employee Lifetime Value..................................... ............................ 158 chapter 9: Attraction: Quantifying the Talent Acquisition Phase.................................................................... 159 Introducing Talent Acquisition........................................................... 160 Making the case for talent acquisition analytics.................................................................... 161 Seeing what can be measured....................................................162 Getting Things Moving with Process Metrics.....................................163 Answering the volume question..................................................164 Answering the efficiency question.............................................. 172 Answering
the speed question...................................................177 Answering the cost question........................................................182 Answering the quality question.................................................... 184 Using critical-incident technique.................................................. 185 chapter ю: Activation: Identifying the ABCs of a Productive Worker....................................................... 193 Analyzing Antecedents, Behaviors, and Consequences..................194 Looking at the ABC framework in action.................................... 195 Extrapolating from observed behavior...................................... 196 Introducing Models........................................................................... 198 Business models..........................................................................199 Scientific models..........................................................................200 Mathematical/statistical models..................................................200 Data models................................................................................. 201 System models............................................................................. 203 Evaluating the Benefits and Limitations of Models..........................204 Using Models Effectively.................................................................... 206 Getting Started with General People Models ....................................209 Activating employee performance.............................................. 209 Using
models to clarify fuzzy ideas about people......................215 The Culture Congruence model..................................................216 Climate......................................................................................... 218 Engagement..................................................................................221 X People Analytics For Dummies
chapter ii: Attrition: Analyzing Employee Commitment and Attrition........................... 225 Getting Beyond the Common Misconceptions about Attrition......................................... 226 Measuring Employee Attrition............................................................ 230 Calculating the exit rate................................................................ 231 Calculating the annualized exit rate............................................. 233 Refining exit rate by type classification........................................233 Calculating exit rate by any exit type.............. 236 Segmenting for Insight........................................................................236 Measuring Retention Rate ................................................................238 Measuring Commitment....................................................................239 Commitment Index scoring.......................................................... 240 Commitment types........................................... 241 Calculating intent to stay.............................................................. 241 Understanding Why People Leave......... .......................................... 243 Creating a better exit survey........................................................ 243 PART 4: IMPROVING YOUR GAME PLAN WITH SCIENCE AND STATISTICS..................................................... 249 CHAPTER 12: Measuring Your Fuzzy Ideas With Surveys........ .............................. 251 Discovering the Wisdom of Crowds through
Surveys.......................252 O, the Things We Can Measure Together..........................................253 Surveying the many types of survey measures.......................... 254 Looking at survey instruments.....................................................256 Getting Started with Survey Research............................................... 257 Designing Surveys............................................................................... 258 Working with models....................................................................259 Conceptualizing fuzzy ideas.......................................................... 260 Operationalizing concepts into measurements.......................... 260 Designing indexes (scales)............................................................ 261 Testing validity and reliability ....................................................... 263 Managing the Survey Process............................................................ 266 Getting confidential: Third-party confidentiality...........................266 Ensuring a good response rate.....................................................267 Planning for effective survey communications............................ 270 Comparing Survey Data......................................................................272 chapter 13: Prioritizing Where tO FOCUS................ 275 Dealing with the Data Firehose.......................................................... 276 Introducing a Two-Pronged Approach to Survey Design and
Analysis............................................................................278 Table of Contents XI
Going with KPIs.......................................................................... 278 Taking the KDA route......... ;...................................................... 278 Evaluating Survey Data with Key Driver Analysis (KDA).................... 279 Having a Look at KDA Output....... ...................................................286 Outlining Key Driver Analysis............................................................. 287 Learning the Ins and Outs of Correlation ......................................... 288 Visualizing associations............................................................... 288 Quantifying the strength of a relationship..................................290 Computing correlation in Excel.................................................... 291 Interpreting the strength of a correlation....................................292 Making associations between binary variables............................ 293 Regressing to conclusions with least squares..............................296 Cautions........................................................................................299 Improving Your Key Driver Analysis Chops....................................... 299 CHAPTER 14: Modeling HR Data with Multiple Regression Analysis....................................................зоз Taking Baby Steps with Linear Regression................................. .304 Mastering Multiple Regression Analysis: The Bird s-Eye View....................................... 307 Doing a Multiple Regression in
Excel.................................................309 Interpreting the Summary Output of a Multiple Regression............................. 312 Regression statistics...................................................................... 313 Multiple R ........................... 313 R-Square.................... 314 Adjusted R-square.........................................................................314 Standard Error.................................................... 315 Analysis of variance (ANOVA)................ 315 Significance F................................................................................ 316 Coefficients Table.........................................................................317 Moving from Excel to a Statistics Application....................................320 Doing a Binary Logistic Regression in SPSS....................................... 321 CHAPTER 15: Making Better Predictions........................................ ззі Predicting in the Real World.................................................... 333 Introducing the Key Concepts............................................................ 334 Independent and dependent variables....................................... 335 Deterministic and probabilistic methods.......................... 335 Statistics versus data science.................. 337 Putting the Key Concepts to Use........................................................ 337 Understanding Your Data Just in Time........... .................................. 339 Predicting exits from time series
data......................................... 340 Dealing with exponential (nonlinear) growth............................. .344 Xll People Analytics For Dummies
Checking your work with training and validation periods...........345 Dealing with short-term trends, seasonality, and noise............ 347 Dealing with long-term trends.................................................... 350 Improving Your Predictions with Multiple Regression..................... 354 Looking at the nuts-and-bolts of multiple regression analysis..................................................................... 356 Refining your multiple regression analysis strategy....................358 Interpreting the Variables in the Equation (SPSS Variable Summary Table)...................................................361 Applying Learning from Logistic Regression Output Summary Back to Individual Data........................... . .364 CHAPTER 16: Learning with Experiments................... 369 Introducing Experimental Design.....................................................370 Analytics for description......... .................................................... 371 Analytics for insight................................................. 371 Breaking down theories into hypotheses and experiments...................................................... 372 Paying attention to practical and ethical considerations.............................. 374 Designing Experiments..................................................................... 375 Using independent and dependent variables............................. 375 Relying on pre-measurements and post-measurements.................................................... 376 Working with experimental and control
groups......................... 377 Selecting Random Samples for Experiments...................................378 Introducing probability sampling............................................... 379 Randomizing samples................................................................. 380 Matching or producing samples that meet the needs of a quota........................... 383 Analyzing Data from Experiments...................................................384 Graphing sample data with error bars........................................ 385 Using t-tests to determine statistically significant differences between means........................... 389 Performing a t-test in Excel............................................. 390 PART 5: THE PART OF TENS.............................. .............................395 CHAPTER 17: Ten Myths of People Analytics....................................... 397 Myth 1 : Slowing Down for People Analytics Will Slow You Down......................................................... 398 Myth 2: Systems Are the First Step...................................................399 Myth 3: More Data Is Better....................................................... .400 Myth 4: Data Must Be Perfect..........................................................401 Myth 5: People Analytics Responsibility Can be Performed by the IT or HRITTeam............................................. 402 Table of Contents ХІІІ
Myth б: Artificial Intelligence Can Do People Analytics Automatically..................... 403 Myth 7: People Analytics Isjustforthe Nerds..................................... 404 Myth 8: There are Permanent HR Insights and HR Solutions.....................................................................................405 Myth 9: The More Complex the Analysis, the Better the Analyst...................................................................................405 Myth 10: Financial Measures are the Holy Grail................................. 407 chapter is: Ten People Analytics Pitfalls.............................. 409 Pitfall 1: Changing People is Hard......................................................... 409 Pitfall 2: Missing the People Strategy Part of the People Analytics Intersection......................................................... 411 Measuring everything that is easy to measure..............................412 Measuring everything everyone else is measuring......................412 Pitfall 3: Missing the Statistics Part of the People Analytics intersection................................................................. 413 Pitfall 4: Missing the Science Part of the People Analytics Intersection................................................................. 413 Pitfall 5: Missing the System Part of the People Analytics Intersection......................................... 414 Pitfall 6: Not Involving Other People in the Right Ways...............................................................................................416 Pitfall 7:
Underfunding People Analytics............................................. 417 Pitfall 8: Garbage In, Garbage Out....................................................... 419 Pitfall 9: Skimping on New Data Development................................... 420 Pitfall 10: Not Getting Started at All..................................................... 422 INDEX......................................................... ХІѴ People Analytics For Dummies 423
|
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| id | DE-604.BV045256948 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:22:17Z |
| institution | BVB |
| isbn | 9781119434764 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030645217 |
| oclc_num | 1101123975 |
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| physical | xiv, 439 Seiten Illustrationen, Diagramme |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | John Wiley & Sons |
| record_format | marc |
| series2 | ... for dummies learning made easy |
| spellingShingle | West, Mike People analytics Big Data (DE-588)4802620-7 gnd Arbeitsplanung (DE-588)4246602-7 gnd Humankapital (DE-588)4160783-1 gnd Betriebsdaten (DE-588)4145038-3 gnd |
| subject_GND | (DE-588)4802620-7 (DE-588)4246602-7 (DE-588)4160783-1 (DE-588)4145038-3 |
| title | People analytics |
| title_alt | People analytics for dummies |
| title_auth | People analytics |
| title_exact_search | People analytics |
| title_full | People analytics by Mike West |
| title_fullStr | People analytics by Mike West |
| title_full_unstemmed | People analytics by Mike West |
| title_short | People analytics |
| title_sort | people analytics |
| topic | Big Data (DE-588)4802620-7 gnd Arbeitsplanung (DE-588)4246602-7 gnd Humankapital (DE-588)4160783-1 gnd Betriebsdaten (DE-588)4145038-3 gnd |
| topic_facet | Big Data Arbeitsplanung Humankapital Betriebsdaten |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030645217&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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