Gramener Data Science Maturity Assessment

This survey has 12 questions covering the data science lifecycle from identifying business problems to delivering business value
It will take you about 5 minutes to complete
Once you submit the response, you will get the results by email
For each question, please choose the closest response. In case some or all the activities are performed by contractors or external vendors, please factor them while choosing your response.
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User Details
Page 1 of 4
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Email Address *
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Please choose your industry/area of work *

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Please enter your name *
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Please enter the name of your organization *
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Please enter your designation/role in the organization *
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Pick the size of your organization *

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Section 1: Vision & Planning
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How much do you agree with each of the following statements? *

1. We have clarity about the long-term data science goals (1 to 3 years) of our organization.

Strongly disagree Disagree Neutral Agree Strongly agree

2. I believe that our organization`s data science initiatives will help us achieve our long-term business goals.

Strongly disagree Disagree Neutral Agree Strongly agree

3. Our organization`s long-term data science goals/strategy are translated into an execution plan that aids implementation.

Strongly disagree Disagree Neutral Agree Strongly agree

4. In our organization, the data science projects are prioritized by using a combination of factors such as business impact, technology feasibility, and urgency.

Strongly disagree Disagree Neutral Agree Strongly agree

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Section 2: Execution
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5. Which of the following best describes your organization`s data engineering practices? *

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6. What is the clarity and relevance of data science roles in your organization? *

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7. Do your data science projects follow any standardized project management methodologies/processes? *

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8. What kinds of insights do your data science projects create? (Choose all that apply) *

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9. How much do you agree with this statement: The insights generated from data are converted into engaging visualizations/data stories to enable users to make decisions. *

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Section 3: Value Realization & Change Management
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10. Which of the following are tracked and monitored as measures of success in your data science projects? (Choose all that apply) *

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11. How much do you agree with this statement: Our organization continuously tracks user adoption of data science projects and takes corrective actions. *

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12. What is the extent of your leadership team`s involvement in managing the change associated with data science implementations? *

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What is ONE biggest challenge your organization is facing in getting value from data today? *
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