ask questions - get instant answers - receive/send p2p payments - get tips - get points - get fundraising support - meet community tutors
First time here? Checkout the FAQs!
x
1 like 0 dislike
485 views
What does the Data Science Maturity Curve talk about?
in Data Science & Statistics by | 485 views

1 Answer

0 like 0 dislike

The Data Science Maturity Curve is a model that describes the stages through which an organization progresses as it adopts data science and analytics. It provides a roadmap for organizations to understand where they currently stand and what steps they need to take to fully leverage data science capabilities. The stages of the curve typically include:

Ad Hoc: At this stage, an organization is just starting to explore data science. Data management and analysis are often manual and inconsistent, with no formal strategy or governance.

Preparatory: The organization begins to develop a data strategy, including data collection, storage, and management protocols. There may be some initial data projects, but they are often isolated and not integrated into broader business processes.

Formative: The organization starts to implement data science projects more consistently, often with a dedicated data team. Data-driven decision making starts to take root in some parts of the organization.

Operational: Data science is integrated into daily operations and decision-making processes. The organization has a clear data strategy, governance policies, and a dedicated data science team. Data-driven insights are used regularly to drive business decisions.

Mature: At this stage, data science is a core part of the organization's strategy and operations. The organization has a mature data infrastructure, strong data governance, and a culture of data-driven decision making. Advanced analytics, machine learning, and AI may be used to generate insights and automate processes.

Transformative: In the final stage, the organization is fully data-driven, with data science providing strategic direction. Data is used to drive innovation, and the organization is able to quickly adapt to changes based on data-driven insights.

by Platinum (108k points)

Related questions

2 like 0 dislike
1 answer
2 like 0 dislike
1 answer
asked Jul 16, 2019 in Data Science & Statistics by anonymous | 483 views
0 like 0 dislike
1 answer
0 like 0 dislike
1 answer
0 like 0 dislike
1 answer
0 like 0 dislike
1 answer
1 like 0 dislike
1 answer
0 like 0 dislike
1 answer
1 like 0 dislike
1 answer
1 like 0 dislike
1 answer

Join MathsGee for AI-powered Q&A, tutor insights, P2P payments, interactive education, live lessons, and a rewarding community experience.

On MathsGee, you can:

1. Ask Questions on Various Topics


2. Request a Tutor


3. Start a Fundraiser


4. Become a Tutor


5. Create Tutor Session - For Verified Tutors


6. Host Tutor Session - For Verified Tutors


7. Join Tutor Session


8. Enjoy our interactive learning resources


9. Get tutor-verified answers

10. Vote on questions and answers

11. Tip/Donate your favorite community members

12. Earn points by participating


Posting on the MathsGee

1. Remember the human

2. Act like you would in real life

3. Find original source of content

4. Check for duplicates before publishing

5. Read the community guidelines


MathsGee Rules

1. Answers to questions will be posted immediately

2. Questions will be queued for posting immediately after moderation

3. Depending on the number of messages we receive, you could wait up to 24 hours for your message to appear. But be patient as posts will appear after passing our moderation.


MyLinks On Acalytica | Social Proof Widgets | Web Analytics | SEO Reports | Learn | Uptime Monitoring

32,637 questions
26,999 answers
219 comments
53,312 users