How Data Science systems differ from Business Intelligence systems in terms of flexibility, accessibility and functionality. A must read ppt for Big Data & Analytics specialists.

1. 7 DIFFERENCES
BUSINESS
INTELLIGENCE
SYSTEMS
DATA
SCIENCE
SYSTEMS
VS

2. • Designed to look
backward
• Looks at real data from
real events
PERSPECTIVE1
BI Systems Data Science
• Designed to look
forward
• Interprets the
information to predict
what might happen in
the future

3. • Focuses on detailed
reports
• Delivers KPIs and
trends
FOCUS2
BI Systems Data Science
• Focuses on predicting
future trends
• Delivers patterns and
observations

4. • Traditional BI systems
tend to be static and
comparative in terms of
how the data is collected
and managed
PROCESS3
BI Systems Data Science
• Offers room for
experimentation and
research in terms of
how the data is collected
and managed

5. • Rigid approach
• Data sources tend to be
pre-planned and added
slowly
DATA SOURCES4
BI Systems Data Science
• Flexible approach
• Data sources can be
added on the go as
needed

6. • Helps businesses answer
the questions they know
• Enables companies to
apply insights to
existing data
TRANSFORM5
BI Systems Data Science
• Helps businesses
discover new questions
• Encourages companies
to apply insights to new
data

7. • BI systems tend to be
warehoused and siloed
• Difficult to deploy data
across the business
STORAGE6
BI Systems Data Science
• Data Science tends to be
integrated and well
governed
• Data can be distributed
in real-time across the
business

8. • IT dept owns it & sends
data to analysts who
interpret it
• More time is consumed
in ‘IT Warehousing’
OWNERSHIP7
BI Systems Data Science
• Big Data Solutions are
owned by analysts
• More time is dedicated
in analysis and
prediction

9. Want to know more about
Big Data & Data Science?
Drop us an email at
marketing@whishworks.com
Or give us a call on
+44 20 3475 7980 | UK
+91 40 4265 6565 | India