Role of the data translator:
What they DO
Help leaders identify & prioritize high-value business problems through domain knowledge
Translate business goals into AI/analytics tasks for to create models and soutions
Bridge technical experts (DS/DE) with business experts (ops, marketing, SC, Manuf, risk, etc.)
Ensure solutions deliver actionable insights that can be undesrood and interpretedand to communicate benefits to drive adoption
What they are not
don’t possess deep technical expertise in programming or modelling
not necessarily dedicated analytics professionals
Skills they need
Domain Knowledge
General Technical Fluency
Project Management
Entrepreneurial Spirit
Team Introduction (Roles and responsibilities)
Project Charter Elements
Actions to be infomed
Decisions the Project Will Enable -> impact
Actions need to be specific
we need to know who is taking the action
We need to know who is the action being taken on
Focus on current actions
These actions will be better informed with Data
Science
How goals are achieved with our output
Prioritize Inspections of foster homes
Report illegal fishing vessels to the authorities
Investigate specific public procurement processes for corruption
Our output:
Predict the non-compliance risk of foster homes
Predict the risk of illegal fishing for a specific vessel
Predict the corruption risk of a specific
public procurement process
Matching Data and Actions
Granularity
Match the level of the action with the level of the data.
Example: if actions are on an individual level, you need individual-level data.
Frequency
Match how often the action is taken with how often the data is updated.
Example: if actions are daily, you may need real-time data.
Timeframe
Ensure the data is available in time to take the action.
Example: actions must be taken before the data becomes outdated.
Risks, constraints and assumptions
Risks
An uncertain event that, if it happens, might have a positive (Opportunity) or negative effect (Threat) on the project.
Constraints
A limitation we will face in the development of the project.
Assumptions
Something we consider to be true for management purposes, but which cannot be proven or known to be true or false.
Process of Risk Management
Identify the risks
Develop Qualitative and Quantitative Risk Analysis
Define Mitigation Plans
Implement Mitigation Actions
Keep Monitoring
Breaking down risk sources
Management
Team assemble, Needed skills, Resources, Governance, decision making, communication
Tech
Technology available, Sytsem Admins, Interfaces, Cybersecurity, System performance
External:
legislation
inustry
covid 19
Force Majeure
Risk identification
Who?
How?
Adapt to your client
Background Check and Trends
The entire Team and all projet stakeholders should be encouraged to identify risks -> always get feedback form senior staff/ experts -> valuable experience
initially identified during scoping meetings/ workshops with client -> ongoins task, analyze project’s risks frequently and discuss them on the status meeting
does client have internal Risk management Policy/ Department/ Expert that we should now or onvolve in process -> they may have some lessons learned
study the context of the company (New business) & Industry (Legislation)
Last changeda day ago
