T Level Technical Qualification in Accounting: Element 10 Data driven innovation/analytics & design

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.

● 10.1.1 Principles of data architecture: the set of rules that surround
data collection, input, access and movement:
● 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:
● 10.3.4 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
● 10.4.1 Design thinking ethos: understanding customer needs and
putting these needs at the heart of every project, creating space and
platforms where project teams and end users naturally interact.
● 10.4.2 Alternative investment opportunities:

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.