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Analytics Framework
This framework provides a comprehensive approach to data analysis and decision-making.. This leads to better insights, improved decision making, and ultimately, better outcomes for the organization.
Business Problems/Objectives:
determine what data to be gathered, what the organization wants to achieve through data analysis, and what analysis to be done
Business Problems/Objectives:
Examples:
•improve the course success rate
•increase market share
•improve customer retention
Business Problems/Objectives:
All business or analytical solutions should be anchored firstly on the __________ __________ to be solved or fundamental market need to be addressed.
Business Problems/Objectives:
Identifying the ________ _______ is the starting point of the analytics framework.
Business Problems/Objectives:
_________ in an analytic framework is a clear and concise statement of what a company or organization wants to achieve or solve through data analysis
Business Problems/Objectives:
It provides a foundation for the data analysis process and helps to align the analysis with the overall goals and strategy of the organization.
SMART
The business objective or problem should be specific, measurable, achievable, relevant, and time-bound (________)
Data Objects
identifies the data needed to conduct the analysis
Data Objects
Examples:
•CUSTOMER FILE: customer demographics
•SALES FILE: purchase history
•ORDER FILE: volume of orders
Data Objects
This includes determining what data is available, what data needs to be collected, and how the data will be stored and organized.
Analytics/Analysis
once you have your data, you can now analyze it using techniques. skills of data scientist, business intelligence analyst or machine learning analysts will be beneficial.
Analytics/Analysis
Examples:
•Student feedback analysis
•Faculty Evaluation Ratings Analysis
•Churn Analysis
Analytics/Analysis
This component determines the type of analysis needed to address the business problems and achieve the objectives. For example, predictive analytics might be needed to identify future trends, while descriptive analytics might be used to summarize past events.
Actions
Taken in order to realize the value from insights.
Actions
Include recommending operational changes or new organizational behaviors.
Actions
Data-driven approaches must be employed by the organization and create informed business decisions to attain organizational success.
Actions
This component identifies the _______ that need to be taken based on the insights and recommendations derived from the analysis.
Actions
This could involve implementing process changes, launching new products or services, or launching marketing campaigns.
Actions
Examples:
•tutoring program
•students selection policy
•reward program
•anti-attrition campaign
Measurement
Used to track and assess the status of a specific business process.
Measurement
To be effective, business metrics should be compared to established benchmarks or business objectives.
Measurement
Examples:
•customer satisfaction levels
•sales data to determine the impact of the actions taken
Measurement
Integral to an organization's success. Must also be carefully managed to make sure that they give right answers, and that the right questions are being asked.
Analytics/Analysis
Data Analytics Scenarios:
attrition analysis
at-risk (of dropping) learners analysis
enrollment trend analysis
Business Problems/Objectives:
Data Analytics Scenarios:
improve course success rate
Actions
Data Analytics Scenarios
- Faculty Training & Development Program
- Implement Faculty
-Classification/Specialization Program
Business Problems/Objectives:
Data Analytics Scenario
improve delivery of instruction to our students
Data Objects
Data Analytics Scenario
•Faculty File
•Student File
•Course File
•Student Evaluation File
•Classroom Observation File
Business Problems/Objectives:
Data Analytics Scenario
further improve the passing rate of the University in board examinations
Analytics/Analysis
Data Analytics Scenario
Board examination results
Student Profiling Analysis
Faculty Profiling Analysis
Curriculum Analysis
Measurement
Data Analytics Scenario
Average Passing Rate
Actions
Data Analytics Scenario
Student Selection and Retention Program
Training and Development
Faculty Alignment
Curriculum revision
Data Objects
Data Analytics Scenario
•Student File
•Course File
•Teacher File
•Exam File
•Historical Board Exam Passing Rate File
•Program Evaluation File
Business Problems/Objectives:
Data Analytics Scenario
How can I retain my customers?
Analytics/Analysis
Data Analytics Scenario
Loyalty Analysis
Churn Analysis
Actions
Data Analytics Scenario
Reward Program
Anti-attrition campaing
Measurement
Data Analytics Scenario
Churn rate
Average customer tenure
Data Objects
Data Analytics Scenario
•Customer File
•Sales File
•Marketing campaign File
•Customer Service Interaction File
•Social media File
•Retention rate files