WBP KSB Breakdown

Question 1

K3 & S2

Answer 1

Outline and apply principles of data analytics lifecycle to steps of data analytics

Question 2

K4

Answer 2

Describe the principles of data (incl open, public, admin, research) and how they relate to my project

Question 3

K8 & S6

Answer 3

Identify quality risks in data analysis and outline methods used to mitigate, escalate and resolve them?

Question 4

K9 & S7

Answer 4

Outline and apply the principles of defining customer requirements and implement findings in data analytics planning and output?

Question 5

K11 & S15

Answer 5

Describe tools/methods used by organisation for data analysis and identify which were used in this project with reasoning given for the choice made to achieve the best outcome.

Question 6

K12

Answer 6

Outline choice of organisational data architecture

Question 7

S1

Answer 7

Operate data systems in compliance with all org/legislative requirements including privacy by design

Question 8

S3

Answer 8

Demonstrate reasoned application of the principles of data classification. Explain where any flexibility in application have been applied and what their purpose is.

Question 9

S4

Answer 9

Analyse data sets considering different data structures and database design

Question 10

S8

Answer 10

Demonstrate how data from different sources is combined and prepared for data analysis. Set out how identified risks and challenges inherent in combining data within the project.

Question 11

S12

Answer 11

Communicate and collaborate with all relevant stakeholders adapting comms style to meet audience/situational need.

Question 12

B3

Answer 12

Describe how worked independently and collaboratively and detail my impact on the work of others

Question 13

B4

Answer 13

Acts independently to establish logical and analytic solutions (ie) explore new data or resolve data issues.