Level Technical Qualification in Accounting: Element 10 Data driven innovation analytics and design

Element 10 Data driven innovation analytics and design thinking

This resource includes 6 teacher PowerPoints on all the learning criteria from the specification and is built around the T Level Technical Qualification in Accounting – Version 1 – December 2021 learning criteria.

● 10.1 Data architecture and data governance:
● 10.1.2 Developments in reporting:
● 10.1.3 The key requirements of a data governance framework:
● 10.2.1 Management Information (MI) and its importance for measuring
performance, analysing trends, and in the decision-making process:
● 10.2.2 Customer Relationship Management (CRM) and its importance.
● 10.2.3 Big Data characteristics:
● 10.2.4 Big Data:
● 10.3.1 Methods/tools used to analyse finance and accounting data:
● 10.3.2 Visualisation tools for presenting and reporting on data:
● 10.3.3 Different types of analytics to enhance the quality of business
decisions:
● 10.3.4 Business Intelligence (BI) software and its impact on retrieving,
analysing, transforming and reporting data for business intelligence.
● 10.3.5 Advantages and disadvantages/risks of outsourcing data
analytics.
● 10.4 Design thinking and its use as a tool to address challenges in the finance
industry

There are also 6 multi-page student worksheets. Each one is focused on the above criteria, which all have teacher copies with suggested answers included. As well as Kahoot style interactive multiple choice quizzes to deliver to your classes.