11.1 What is data-driven decision-making?
477.3 Exercise
21.1.1 Quantitative data: 1.1.2 Qualitative data
48References
31.2 The importance of data-driven decision-making
49Chapter 8 The Need for Effective Data-Driven Practices
41.3 Organizations benefiting from data-driven decision-making
508.1 Research on Systemic Reform and Data Systems
51.4 Exercise : References
518.2 Exercise : References
6Chapter 2 How to make Data-Driven Decisions
52Chapter 9 Conceptual Framework
72.1 Introduction
539.1 Introduction
82.2 Exercise : References
549.1 Organizational supports for data-driven decision making in education
93.1 E-Commerce
559.2 Decision makers and their data needs
103.1.1 Calculate Ecommerce Growth
569.3 Identifying relevant and diagnostic data
113.1.2 What is data-driven deciding (and why is it therefore important)?
579.4 Summary
123.1.3 How to implement data-driven deciding
589.5 Exercise
133.1.4 10 metrics you wish for data-driven deciding
59References
143.2 Finance
60Summary
153.3 Transportation
61References
163.4 Exercise: References
62Chapter 10 Factors And Considerations That Impinge On Decision Making
174.1 Make assured choices
6310.1 Decision Making in Professional Service Firms
184.2 Guard against biases
6410.2 Risk Taking and Strategic Decision Making
194.3 Find unresolved queries
6510.3 Decision Errors of the 4th, 5th, and 6th Kind
204.4 Set measurable goals
6610.4 Decision Making in Public Organizations
214.5 Improve company processes
6710.5 Strategic Decision Making and Knowledge: A Heideggerian Approach
224.6 Advantages of data-driven decision making
6810.6 Challenges of Using IT to Support Multidisciplinary Team Decision Making
234.3 Exercise : References
6910.7 Exercise : References
24Chapter 5 Technology Solutions That Can Help You Make Data-Driven Decisions
7011.1 Introduction to Business Analytics
255.1 Data warehouses: 5.1.1 Characteristics of Data Warehouse
7111.2 Why analytics?: 11.2.1 This problem leaves the candidate (decision maker) with two options.
265.2 Business intelligence solutions: 5.2.1 Business intelligence computer code and systems
7211.3 Business analysis: The science of data-driven decision-making
275.3 Customer data platforms
7311.3.1 Business context
285.3.1 CDPs collect and organize four main types of customer data.
7411.3.2 Technology
295.3.1 Key benefits of CDP
7511.3.3 Data science
305.3.2 Top CDP Software Providers
7611.4 Descriptive Analytics
315.3.3 The benefits of a CDP
7711.5 Predictive analytics
325.4 Personalization
7811.6 Prescription Analysis
335.5 Exercise: References
7911.7 Descriptive, Predictive, And Prescriptive Analytics Techniques
34Chapter 6 Types of data used in education
8011.8 Big Data Analysis
356.1 Introduction
8111.9 Web and social media analytics
366.2 Demographics data
8211.10 Machine learning algorithms
376.2.1 Types of Demographic Information
8311.11 Framework For Data-Driven Decision Making
386.2.2 Special considerations
8411.11.1 Build your analytical skills
396.3 Perceptions data
8511.11.2 Build analytics feature roadmap
406.4 Exercise : References
8611.12 Challenges In Data-Driven Decision Making And Future
417.1 Data use and the iterative process of school improvement
8711.13 Summary
427.1.1 Goal setting
8811.14 Questions
437.1.2 Collecting data
89References
447.1.3 Sense-making
90Glossary
457.1.4 Action and evaluation
91Index
467.2 Summary
