We write, we don’t plagiarise! Every answer is different no matter how many orders we get for the same assignment. Your answer will be 100% plagiarism-free, custom written, unique and different from every other student.
I agree to receive phone calls from you at night in case of emergency
Please share your assignment brief and supporting material (if any) via email here at: [email protected] after completing this order process.
QUALIFI Level 7 Diploma in Data Science
Unit code: T/618/4978 RQFLevel: 7
NOTE: Kindly share your UPDATED exam paper to the LIVE EXPERT with an updated Case Study (if any)
AimThe convergence of Cloud computing, Big Data, Artificial Intelligence and The Internet of Things will see organisations of all shapes and sizes either survive and thrive or face extinction. New operational and strategic norms, types of organisations, the nature of work and employment are changing fundamentally across vast parts of the global economy. This unit introduces learners to the strategic and managerial challenges generated by the impact of digital technology on business and organisations.
Learning Outcomes and Assessment Criteria
Learning Outcomes. When awarded credit for this unit, a learner will be able to:
Assessment Criteria. Assessment of this learning outcome will require a learner to demonstrate that they:
1. Evaluate the concept of transformation and the key technologies that drive it.
1.1 Analyse the technologies that underpin digital transformation.
1.2 Assess the managerial challenges associated with implementing digital transformation successfully.
2. Assess the strategic impact of the application of Big Data and Artificial Intelligence on business organisations.
2.1 Evaluate theories of strategy and their application to the digital economy and business.
2.2 Analyse examples of the application of Artificial intelligence on business operations or strategy.
3. Appraise theories of innovation and distinguish between disruptive and incremental change.
3.1 Evaluate theories of disruptive innovation and how they explain the impact of innovation on industries.
3.2 Evaluate the managerial challenges of promoting and implementing innovation within organizations.
4. Evaluate ethics practices within organisations and how they relate to issues in Data Science.
4.1 Assess the role that codes of ethics play in the operation and sustainability of organisations.
4.2 Evaluate the importance of reporting and disclosure for ethical practice.
Assessment GuidanceTo demonstrate all learning outcomes and assessment criteria, each unit should follow the same assessment methodology:
Summative: For this unit learners are required to carry out a review of the literature that covers the learning outcomes and assessment criteria demonstrating a sound theoretical basis of understanding and the ability to contextualise concepts within practical real world scenarios.
The quoted price covers up to 3000 words. For custom requirements Live Chat or Whatsapp ← Click Here
Email: [email protected]
Get all these features for د.إ195.00 FREE
Check Out Our Original Reviews