How can you maintain a professional, secure working environment? (B1)
Collibra insights dashboard:
- DPISA - Collibra 2019 🟢
- Classified: Internal Only (no GDPR)
- Collibra access: Ping ID🔔🆔
- Follow information handling standard🅸👐📏 (restricted access to JLP partners only)
- Tableau access: sandbox only accessible to JLP partners
Can you give an example of how current legislation influences your day to day work?
- GDPR - regulates ethical use, processing, storage of personal information
- Annual training 🚆 - handling data the right way
- Ensure access control setting are in place 🔑
Describe how you have appropriately adapted your activities to meet a change
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
How often do you take initiative and how is it received? (B2)
- 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)
How did you ensure you identified root cause of an issue/prevent reoccurance? (B5)
- 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
Identify and explain a challenge and how you overcame it, outline lessons learned (B6)
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
- global outage tableau - presentation day
screenshots and followed up with link
contingency plan for unexpected tech issues
How have you adapted to change in your role/direction of the organisation? (B7)
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
