Topic 6 of 13

Data & analytics

Articles
0
Frameworks
27
Updated
Magnifying lens over a line chart tile, icon for data and analytics
Library

Frameworks in this topic

Each card shows where the framework comes from and the question it helps you ask. Open one to see every article that uses it.

The whole library

Showing 12 of 27 frameworks. The rest are in the library.

References

Listed A–Z by author surname, Harvard style. A source with a DOI links to https://doi.org/…; one without links to its page or says plainly that it has no DOI.

  1. Berk, J. and DeMarzo, P. (2024) Corporate Finance, 6th edn. Harlow: Pearson.No DOISource page
  2. Binns, R. (2018) ‘Fairness in machine learning: lessons from political philosophy’, in Proceedings of Machine Learning Research. pp. 149–159.No DOIproceedings.mlr.pressSource page
  3. Box, G.E.P. and Jenkins, G.M. (1976) Time Series Analysis: Forecasting and Control, rev. edn. San Francisco: Holden-Day.No DOISource page
  4. Buehler, R., Griffin, D. and Ross, M. (1994) ‘Exploring the 'planning fallacy': why people underestimate their task completion times’, Journal of Personality and Social Psychology, 67(3), pp. 366–381.doi:10.1037/0022-3514.67.3.366Source page
  5. Cairo, A. (2016) The truthful art: data, charts, and maps for communication. San Francisco: New Riders.No DOISource page
  6. Cairo, A. (2019) How charts lie: getting smarter about visual information. New York: W.W. Norton.No DOISource page
  7. Chaffey, D. and Ellis-Chadwick, F. (2019) Digital marketing: strategy, implementation and practice. Harlow: Pearson.No DOISource page
  8. Cleveland, W.S. and McGill, R. (1984) ‘Graphical perception: theory, experimentation, and application to the development of graphical methods’, Journal of the American Statistical Association, 79(387), pp. 531–554.doi:10.1080/01621459.1984.10478080Source page
  9. Dalkey, N. and Helmer, O. (1963) ‘An experimental application of the Delphi method to the use of experts’, Management Science, 9(3), pp. 458–467.doi:10.1287/mnsc.9.3.458Source page
  10. Dattner, B. et al. (2019) The legal and ethical implications of using AI in hiring. Harvard Business Review.No DOIhbr.orgSource page
  11. De Veaux, R.D. and Hand, D.J. (2005) ‘How to lie with bad data’, Statistical Science, 20(3), pp. 231–238.doi:10.1214/088342305000000269Source page
  12. Drake, W.J., Cerf, V.G. and Kleinwächter, W. (2016) Internet fragmentation: an overview. Geneva: World Economic Forum (Future of the Internet Initiative White Paper).No DOIwww3.weforum.orgSource page
  13. Dwork, C. et al. (2012) ‘Fairness through awareness’, in Proceedings of the 3rd Innovations in Theoretical Computer Science Conference. New York: ACM, pp. 214–226.doi:10.1145/2090236.2090255Source page
  14. European Parliament and Council (2016) Regulation (EU) 2016/679 (General Data Protection Regulation). Official Journal of the European Union.No DOIeur-lex.europa.euSource page
  15. Fairfield, J.A.T. and Engel, C. (2015) ‘Privacy as a public good’, Duke Law Journal, 65(3), pp. 385–457.No DOIscholarship.law.duke.eduSource page
  16. Flyvbjerg, B. (2006) ‘From Nobel Prize to project management: getting risks right’, Project Management Journal, 37(3), pp. 5–15.doi:10.1177/875697280603700302Source page
  17. Gigerenzer, G. et al. (2007) ‘Helping doctors and patients make sense of health statistics’, Psychological Science in the Public Interest, 8(2), pp. 53–96.doi:10.1111/j.1539-6053.2008.00033.xSource page
  18. Hammond, J.S., Keeney, R.L. and Raiffa, H. (1998) ‘The hidden traps in decision making’, Harvard Business Review, 76(5).No DOIhbr.orgSource page
  19. Higgins, R.C. (1977) ‘How much growth can a firm afford?’, Financial Management, 6(3), pp. 7–16.doi:10.2307/3665251Source page
  20. Hoffmann, S., Lazanski, D. and Taylor, E. (2020) ‘Standardising the splinternet: how China's technical standards could fragment the internet’, Journal of Cyber Policy, 5(2), pp. 239–264.doi:10.1080/23738871.2020.1805482Source page
  21. Hope, J. and Fraser, R. (2003) Beyond Budgeting: How Managers Can Break Free from the Annual Performance Trap. Boston: Harvard Business School Press.No DOISource page
  22. Hyndman, R.J. and Athanasopoulos, G. (2021) Forecasting: Principles and Practice, 3rd edn.No DOIotexts.comSource page
  23. James, G. et al. (2021) An introduction to statistical learning: with applications in R (2nd edn). New York: Springer.doi:10.1007/978-1-0716-1418-1Source page
  24. James Bell Associates (2018) Guide to data-driven decision making: using data to inform practice and policy decisions in child welfare organizations. Washington, DC: Children's Bureau, Administration for Children and Families, U.S. Department of Health and Human Services.No DOIjbassoc.comSource page
  25. Jansen, B.J. et al. (2022) ‘The illusion of data validity: why numbers about people are likely wrong’, Data and Information Management, 6(4), article 100020.doi:10.1016/j.dim.2022.100020Source page
  26. Johnson, G., Scholes, K. and Whittington, R. (2008) Exploring corporate strategy: text and cases. Harlow: FT Prentice Hall.No DOISource page
  27. Kahneman, D. and Tversky, A. (1979) ‘Prospect theory: an analysis of decision under risk’, Econometrica, 47(2), pp. 263–291.doi:10.2307/1914185Source page
  28. Kaplan, R.S. and Norton, D.P. (1992) ‘The balanced scorecard: measures that drive performance’, Harvard Business Review, 70(1), pp. 71–79.No DOIhbr.orgSource page
  29. Kim, J., Kim, D.H. and Kwak, S.G. (2024) ‘Comprehensive guidelines for appropriate statistical analysis methods in research’, Korean Journal of Anesthesiology, 77(5), pp. 503–517.doi:10.4097/kja.24016Source page
  30. Kleinberg, J., Mullainathan, S. and Raghavan, M. (2017) ‘Inherent trade-offs in the fair determination of risk scores’, in 8th Innovations in Theoretical Computer Science Conference (ITCS 2017), LIPIcs 67. pp. 43:1–43:23.doi:10.4230/LIPIcs.ITCS.2017.43Source page
  31. Knaflic, C.N. (2015) Storytelling with data: a data visualization guide for business professionals. Hoboken, NJ: Wiley.No DOISource page
  32. Kohavi, R., Tang, D. and Xu, Y. (2020) Trustworthy online controlled experiments: a practical guide to A/B testing. Cambridge University Press.doi:10.1017/9781108653985Source page
  33. Lemon, K.N. and Verhoef, P.C. (2016) ‘Understanding customer experience throughout the customer journey’, Journal of Marketing, 80(6), pp. 69–96.doi:10.1509/jm.15.0420Source page
  34. Lepenioti, K. et al. (2020) ‘Prescriptive analytics: literature review and research challenges’, International Journal of Information Management, 50, pp. 57–70.doi:10.1016/j.ijinfomgt.2019.04.003Source page
  35. Lichtenstein, S. and Fischhoff, B. (1977) ‘Do those who know more also know more about how much they know?’, Organizational Behavior and Human Performance, 20(2), pp. 159–183.doi:10.1016/0030-5073(77)90001-0Source page
  36. Makridakis, S., Wheelwright, S.C. and Hyndman, R.J. (1998) Forecasting: Methods and Applications, 3rd edn. New York: Wiley.No DOISource page
  37. Makridakis, S., Spiliotis, E. and Assimakopoulos, V. (2018) ‘Statistical and machine learning forecasting methods: concerns and ways forward’, PLOS ONE, 13(3), article e0194889.doi:10.1371/journal.pone.0194889Source page
  38. Mayer, M. and Nock, P.J. (2025) ‘Editorial: Digital fragmentations, technological sovereignty and new perspectives on the global digital political economy’, Global Political Economy, 4(1), pp. 2–13.doi:10.1332/26352257Y2024D000000029Source page
  39. Meadows, D.H. (2008) Thinking in systems: a primer. White River Junction, VT: Chelsea Green.No DOISource page
  40. Nissenbaum, H. (2010) Privacy in context: technology, policy, and the integrity of social life. Stanford, CA: Stanford University Press.doi:10.1515/9780804772891Source page
  41. Nocetti, J. (2024) A splintered internet? Internet fragmentation and the strategies of China, Russia, India and the European Union. Paris: Ifri (Études de l'Ifri, February 2024).No DOIifri.orgSource page
  42. Ostrom, E. (1990) Governing the commons: the evolution of institutions for collective action. Cambridge: Cambridge University Press.doi:10.1017/cbo9780511807763Source page
  43. Palm, E. (2009) ‘Securing privacy at work: the importance of contextualized consent’, Ethics and Information Technology, 11(4), pp. 233–241.doi:10.1007/s10676-009-9208-8Source page
  44. Petropoulos, F. et al. (2022) ‘Forecasting: theory and practice’, International Journal of Forecasting, 38(3), pp. 705–871.doi:10.1016/j.ijforecast.2021.11.001Source page
  45. Schoemaker, P.J.H. (1995) ‘Scenario planning: a tool for strategic thinking’, Sloan Management Review, 36(2), pp. 25–40.No DOIshop.sloanreview.mit.eduSource page
  46. Starbucks Corporation (2020) Business update (8 April). SEC EDGAR, Exhibit 99.1 (Press release).No DOIsec.govSource page
  47. Starbucks Corporation (2020) Starbucks reports Q4 fiscal 2020 results (29 October). SEC EDGAR, Exhibit 99.1 (Press release).No DOIsec.govSource page
  48. Tufte, E.R. (2001) The visual display of quantitative information. Cheshire, CT: Graphics Press.No DOISource page
  49. Tversky, A. and Kahneman, D. (1974) ‘Judgment under uncertainty: heuristics and biases’, Science, 185(4157), pp. 1124–1131.doi:10.1126/science.185.4157.1124Source page
  50. Wack, P. (1985) ‘Scenarios: uncharted waters ahead’, Harvard Business Review, 63(5), pp. 72–89.No DOIhbr.orgSource page
  51. Wack, P. (1985) ‘Scenarios: uncharted waters ahead’, Harvard Business Review, 63(5), pp. 73–89.No DOIhbr.orgSource page
  52. Wedel, M. and Kannan, P.K. (2016) ‘Marketing analytics for data-rich environments’, Journal of Marketing, 80(6), pp. 97–121.doi:10.1509/jm.15.0413Source page
  53. Welch, I. (1992) ‘Sequential sales, learning, and cascades’, Journal of Finance, 47(2), pp. 695–732.doi:10.1111/j.1540-6261.1992.tb04406.xSource page
  54. Whittington, R. et al. (2023) Exploring strategy: text and cases. Harlow: Pearson.No DOISource page
  55. Winters, P.R. (1960) ‘Forecasting sales by exponentially weighted moving averages’, Management Science, 6(3), pp. 324–342.doi:10.1287/mnsc.6.3.324Source page
  56. Wong, B. (2011) ‘Points of view: color blindness’, Nature Methods, 8(6), p. 441.doi:10.1038/nmeth.1618Source page
  57. Zacks, J. and Tversky, B. (1999) ‘Bars and lines: a study of graphic communication’, Memory & Cognition, 27(6), pp. 1073–1079.doi:10.3758/BF03201236Source page
  58. Zimmermann, A., Di Rosa, E. and Kim, H. (2020) Technology can't fix algorithmic injustice. Boston Review.No DOIbostonreview.netSource page
Archive

All articles

Magnifying glass lying on an empty open book, illustrating no search results

The first articles on this topic are coming

There are no English articles in this topic yet. The introduction and frameworks are ready; articles will appear here as soon as they are published.

Keep reading

Related topics

All 13 topics