AI, Data Science & Cloud Certificates from Google, IBM & Meta
Lead AI-Native Products with Microsoft's Agentic AI Program
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore the common pitfalls of data projects and learn effective strategies to ensure success in this insightful conference talk. Delve into the critical components of successful data initiatives, including assembling the right team, defining clear business value, setting realistic timelines, and establishing a solid technical foundation. Gain valuable insights on the importance of management in planning data projects and understand why addressing non-technological gaps is crucial. Discover how to approach the who, what, when, where, and how of data projects to increase your chances of success and deliver tangible value to your organization.
Syllabus
Intro
85% of data projects fail
The right questions
The right people at the right ratios
Data teams
What is the business value?
When will you generate value?
Where will data be processed?
How will the plan be executed?
Why is data valuable?
Not all gaps are technology
Should you get help?
Outro
Taught by
GOTO Conferences