Behaviours

Question 1

How can you maintain a professional, secure working environment? (B1)

Answer 1

Collibra insights dashboard:

1. DPISA - Collibra 2019 🟢
2. Classified: Internal Only (no GDPR)
3. Collibra access: Ping ID🔔🆔
4. Follow information handling standard🅸👐📏 (restricted access to JLP partners only)
5. Tableau access: sandbox only accessible to JLP partners

Question 2

Can you give an example of how current legislation influences your day to day work?

Answer 2

1. GDPR - regulates ethical use, processing, storage of personal information
2. Annual training 🚆 - handling data the right way
3. Ensure access control setting are in place 🔑

Question 3

Describe how you have appropriately adapted your activities to meet a change

Answer 3

Data Transformation to PDP

Role is more proactive in cloud based data management

identified areas of improvement - RBAC
SQL - extract/view snowflake data - navigate platform/improve data classification/masking
connected with colleagues to learn more - platform product owner
practical experience - offered to help other stewards
training - CDMC and Snowflake training

working in DT pillar - ensure e2e processes in place for data classifications and RBAC & classifications completed quicker by missing out DMA step

Question 4

How often do you take initiative and how is it received? (B2)

Answer 4

• Hypothesis test
• Lead time data held at item and line level
• Stock holding data was line only
• Multiple items with diff Lead times linked to one line
• Larger project is underway
• My project: average
• Reasonable estimate
  OR
• regression line wouldn’t work as I had the incorrect Anaconda version, so use Seaborn Library (benefit of Python)

Question 5

How did you ensure you identified root cause of an issue/prevent reoccurance? (B5)

Answer 5

• Time series forecast project
• Most data spikes interpolated as not to skew the forecast
• Still a spike after this though
• Plotted line chart in raw google sheet
• Sorted data in Python to see if any data points were incorrectly extracted
• Missing dates in the Raw data
• Interpolated for Project
• Prevent recurrence - escalated with Product Owner
• Known cause - Glitch - Issue with mainframe update

Question 6

Identify and explain a challenge and how you overcame it, outline lessons learned (B6)

Answer 6

Collibra insight dashboard
1. Google sheet/tableau integration issue

no time to seek expert help

extracted BT’s/Acryos at once

anticipate integration issues - plan ahead and consult experts earlier

2. global outage tableau - presentation day

screenshots and followed up with link

contingency plan for unexpected tech issues

Question 7

How have you adapted to change in your role/direction of the organisation? (B7)

Answer 7

Data Transformation to PDP

Role is more proactive in cloud based data management

identified areas of improvement - RBAC
SQL - extract/view snowflake data - navigate platform/improve data classification/masking
connected with colleagues to learn more - platform product owner
practical experience - offered to help other stewards
training - CDMC and Snowflake training

working in DT pillar - ensure e2e processes in place for data classifications and RBAC & classifications completed quicker by missing out DMA step