Write a 3000 words report using publicly available information about the impact of Predictive Analytics
Budget: €8 – €30 EUR
Write a 3000 words report using publicly available information about the impact of Predictive Analytics.
(PA) in your chosen industry.
using two firms examples and contrast the impact and approach of these firms for how they deploy PA and to what effect.
Free from plagiarism and the use of AI software
Please follow the Harvard Referencing
Outcomes to be achieved:
•
• The application and evaluation of Predictive Analytics Technologies in a variety of contexts in organisations;
• To critically appraise the appropriateness of specific Predictive Analytics Technologies for different business contexts;
• To critically appraise the appropriateness of specific data sources, structures and types for specific Predictive Analytics Technologies;
• To identify the appropriate underlying method of prediction, e.g. information based, similarity-based, probability-based and error based;
• To identify the underlying method of prediction built into specific Predictive Analytics Technologies;
• To consider human systems that are involved in applying the different methods of predictive analytics;
Develop skills in developing applications in Predictive Analytics, including: Creating and using data sources for prediction;
Training machines to learn;
Transforming data for machine learning;
Interpreting predictions;
Managing machine learning objects;
Monitoring machine learning with metrics;
To develop and justify business and project plans for machine learning;
To identify strategically important machine learning applications in organisations;
To construct and justify a business plan for a given Digital Business;
To assess ‘Digital Business’ as a discipline and as a field of practice in providing innovation and change in a range of existing or potential client organisations;
To apply consultation and mentoring methods in a Digital Business.
To demonstrate the following knowledge:
The meaning and importance of predictive analytics;
Key enabling technologies of prediction;
Methods of prediction;
Machine learning and prediction;
Control and prediction;
The contemporary technologies of prediction;
• Methods for implementing predictive technologies projects;
• Assessment of the strategic value of predictive technologies.
Overall Outcomes
There are three fundamental objectives
• To provide foundational knowledge of Predictive Analytics Technologies (‘PAT’) for application in organisations and businesses;
• To develop the required skill-set to critically construct Predictive Analytics Technologies change projects;
• To critically appraise the application of the use of Predictive Analytics Technologies across different organisations and contexts.
(PA) in your chosen industry.
using two firms examples and contrast the impact and approach of these firms for how they deploy PA and to what effect.
Free from plagiarism and the use of AI software
Please follow the Harvard Referencing
Outcomes to be achieved:
•
• The application and evaluation of Predictive Analytics Technologies in a variety of contexts in organisations;
• To critically appraise the appropriateness of specific Predictive Analytics Technologies for different business contexts;
• To critically appraise the appropriateness of specific data sources, structures and types for specific Predictive Analytics Technologies;
• To identify the appropriate underlying method of prediction, e.g. information based, similarity-based, probability-based and error based;
• To identify the underlying method of prediction built into specific Predictive Analytics Technologies;
• To consider human systems that are involved in applying the different methods of predictive analytics;
Develop skills in developing applications in Predictive Analytics, including: Creating and using data sources for prediction;
Training machines to learn;
Transforming data for machine learning;
Interpreting predictions;
Managing machine learning objects;
Monitoring machine learning with metrics;
To develop and justify business and project plans for machine learning;
To identify strategically important machine learning applications in organisations;
To construct and justify a business plan for a given Digital Business;
To assess ‘Digital Business’ as a discipline and as a field of practice in providing innovation and change in a range of existing or potential client organisations;
To apply consultation and mentoring methods in a Digital Business.
To demonstrate the following knowledge:
The meaning and importance of predictive analytics;
Key enabling technologies of prediction;
Methods of prediction;
Machine learning and prediction;
Control and prediction;
The contemporary technologies of prediction;
• Methods for implementing predictive technologies projects;
• Assessment of the strategic value of predictive technologies.
Overall Outcomes
There are three fundamental objectives
• To provide foundational knowledge of Predictive Analytics Technologies (‘PAT’) for application in organisations and businesses;
• To develop the required skill-set to critically construct Predictive Analytics Technologies change projects;
• To critically appraise the application of the use of Predictive Analytics Technologies across different organisations and contexts.