Data analytics Samenvattingen, Aantekeningen en Examens

This is a summary for the course Data Management for Data Analytics provided by the TU/e. The summary is based on the lectures.

Uitgebreide samenvatting van alle literatuur en colleges van DAAC (als extra het tentamen van oktober 2023 opgenomen deze is samengesteld op basis van screenshots tijdens het inkijkmoment).

Summary of the following literature: 1. Edwards, M., & Edwards, K. (2019). Predictive HR Analytics: Mastering the HR Metrics (2nd ed). London: Kogan Page. Chapters 1, 2, 3, 4 & 12 (use other chapters to refresh your statistical knowledge and see applications of statistical tools on real HR problems) 2. Khan, N., & Millner, D. (2020). Introduction to People Analytics: A practical guide to Data-Driven HR. London: Kogan Page. Chapters 1, 2, 5, 6, 7 & 10 3. Cascio, W. F., Boudreau, J. W., ...

This document contains all reading material and lectures that were discussed during the lectures of Business Intelligence & Business Analytics in the spring of 2023. Note that the last Python exercises are not added in this summary! Full list of material: - Database systems: design, implementation, and managementLinks to an external site. (9 edition), P. Rob and C. Coronell. (1.2, 1.7; 2.1, 2.2, 2.3; 3.1, 3.2, 3.6; 6.1, 6.2.) - Data Warehouse Design: Modern Principles and Methodologies ...

In this summary the following papers have been discussed: Big Data in Accounting: An Overview [Vasarhelyi et al; 2015] ( A design science research methodology and its application to accounting information systems research [Guido L Geerts; 2011] ( Critical Success Factors for Data Governance: A Theory Building Approach [Alhassan et al; 2019] ( Trusted Decision-Making: Data Governance for Creating Trust in Data Science Decision Outcomes [Brous and Janssen; 2020] ( ( Continuous Auditing and Contin...