Services & Solutions
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We take you from data overwhelm to data clarity and lay out how discrimination in data is made and identify coping and intervention strategies to be more just.
Our Process
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Item #0
Step 1: Assessment
![](https://dataedx.com/wp-content/uploads/2024/03/icon_1.png)
Begin with a preliminary questionnaire to understand the client’s data and responsible AI understanding, pain points and desired outcomes.
Step 2: Needs
![](https://dataedx.com/wp-content/uploads/2024/03/icon_2.png)
Conduct a scope call to delve deeper into the client’s requirements and priorities, refining the roadmap for addressing identified data and responsible AI gaps.
Step 3: Design
![](https://dataedx.com/wp-content/uploads/2024/03/icon_3.png)
Craft and tailor the data ethics literacy program. Iterate with client to ensure it meets the identified needs and aligns with the client’s objectives.
Step 4: Program Delivery
![](https://dataedx.com/wp-content/uploads/2024/03/icon_4.png)
Request regular feedback to assess its effectiveness in enhancing understanding and delivering expected impact
Step 5: Feedback
![](https://dataedx.com/wp-content/uploads/2024/03/icon_5.png)
Begin with a preliminary questionnaire to understand the client’s data and responsible AI understanding, pain points and desired outcomes.
Step 6: Recommendations & Collaboration
![](https://dataedx.com/wp-content/uploads/2024/03/icon_6.png)
Based on program delivery and feedback engagement, generate a new set of recommendations and collaboratively discuss ongoing needs and how they can be addressed through further collaboration, ensuring continuous improvement and alignment with evolving objectives.
![](https://dataedx.com/wp-content/uploads/2024/03/process_2.png)
Item #0
Assessment
![](https://dataedx.com/wp-content/uploads/2024/03/icon_1.png)
Begin with a preliminary questionnaire to understand the client’s data and responsible AI understanding, pain points and desired outcomes.
Needs
![](https://dataedx.com/wp-content/uploads/2024/03/icon_2.png)
Conduct a scope call to delve deeper into the client’s requirements and priorities, refining the roadmap for addressing identified data and responsible AI gaps.
Design
![](https://dataedx.com/wp-content/uploads/2024/03/icon_3.png)
Craft and tailor the data ethics literacy program. Iterate with client to ensure it meets the identified needs and aligns with the client’s objectives.
Program Delivery
![](https://dataedx.com/wp-content/uploads/2024/03/icon_4.png)
Request regular feedback to assess its effectiveness in enhancing understanding and delivering expected impact.
Feedback
![](https://dataedx.com/wp-content/uploads/2024/03/icon_5.png)
Begin with a preliminary questionnaire to understand the client’s data and responsible AI understanding, pain points and desired outcomes.
Collaboration
![](https://dataedx.com/wp-content/uploads/2024/03/icon_6.png)
Based on program delivery and feedback engagement, generate a new set of recommendations and collaboratively discuss ongoing needs and how they can be addressed through further collaboration, ensuring continuous improvement and alignment with evolving objectives.