Why Organizations need to switch from Data Science to Business Intelligence?
Curated from: linkedin.com
Ideas, facts & insights covering these topics:
2 ideas
·448 reads
7
Explore the World's Best Ideas
Join today and uncover 100+ curated journeys from 50+ topics. Unlock access to our mobile app with extensive features.
Why Organizations need to switch from Data Science to Business Intelligence?
- Data science models are only as good as the data they are trained on. If your data is noisy, incomplete, or biased, your model will be too.
- Data science models are not perfect. They will always make some mistakes, especially when they are used to make predictions about new data.
- Data science models are not a substitute for business understanding. Just because you have a model does not mean that you understand the business problem you are trying to solve.
- Data science models need to be implemented and used correctly. If you do not implement and use your model correctly, it will not be effective.
19
239 reads
It is important to use data science models responsibly. Here are some tips:
- Make sure that your data is clean and complete
- Understand the business problem you are trying to solve.
- Use a variety of data sources.
- Monitor and evaluate your data science model.
16
209 reads
IDEAS CURATED BY
CURATOR'S NOTE
Organizing business goals purely on data science models does not yield results. Data science should be combines with "Business Insights" to drive outcomes.
“
Similar ideas
4 ideas
9 ideas
29 ideas
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Personalized microlearning
—
100+ Learning Journeys
—
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates