2. Who We Are
At Promotable, we are closing the data
skills gap and helping you take your career
to the next level.
3. We are partners with top Chicago tech organizations like the Illinois Tech
Association and 1871
Partners
4. INSTRUCTORS FROM TOP COMPANIES
Promotable’s instructors work at top companies and combine real-
world experience with people-focused skills.
5. Upcoming Classes
Data Analytics: Data to Insights (5 hrs/wk for 8 Weeks)
● September 24 (2 Spots Left)
Product Management (5 hrs/wk for 6 Weeks)
● October 8
8. Agenda
• What is data when you first get it? Is it valuable to just "have data"?
• What are insights?
• Who makes insights and who uses insights?
• What frameworks and processes can you use to turn disparate pieces of data to insights?
• Do you need to be a data scientist?
• How can business leaders get involved?
Data to insights 8
9. Data vs Information vs Insight
9
Data Information Insight
• Raw unprocessed facts
in the form of numbers
and text
• Can be
quantitative(measured)
or qualitative(observed)
• Primarily exist in
computer-friendly
formats and mostly
lives in databases and
spreadsheets
• Prepared data that has
been processed,
aggregated and
organized into a more
human-friendly format
that provides more
context
• Information is often
delivered in the form of
data visualizations,
reports and
dashboards
• They are facts about
your data
• Insights are
generated by
analyzing
information and
drawing
conclusions
• New
understanding
that is actionable
and unique
Data to insights
10. 10
Data: I have taken 7442 steps today!
Information: Weekly steps report where I can see how many steps,
I completed each day
Insight: I only need 2,558 more steps in next 5 hours to reach my daily target
Data to insights
11. How to turn data into insights?
• Find your motivation
• Do your data homework
• Visualize effectively
• Analyze data to find insights
• Invest in the right people and processes
• Frameworks : Six Sigma – DMAIC, CRISP – DM, Waterfall model etc.
11Data to insights
12. Find your motivation
• Clearly understand the problem you are trying to solve
▪ Context
▪ Scope
▪ Need
▪ Vision
▪ Outcome
• Ask the right questions to your stakeholders
▪ 5 WHYS
• Get buy-in from senior leadership
12Data to insights
13. Do your data homework
• Discover the context of your dataset
• Understand how data is collected, processed and stored
• Plot distributions of each variable to see if they make sense
• Look for outliers and reason them
• Identify relationships between different variables
• Question everything that you see in data and confirm with experts
• Choose your metrics such that they connect with your main KPI
• Have an intuition about what the outcome could be
13Data to insights
14. Visualize effectively
• Focus on trends not individual data points
• Stick to a specific duration while comparing
• Highlight seasonal effects, if any
• Reduce chart-junk, avoid repetition, use legible orientation
• Be consistent with chart titles, legends and data formats
• Choose the right visuals to convey your message
• Pay special attention to color coding of the visuals
• Invest in tools if necessary
14Data to insights
16. Analyze data to find insights
• Measure the right things
• Consider :
▪ Filtering
▪ Sorting
▪ Grouping
▪ Segmentation
• Look for patterns
• Understand the reason behind trends(why numbers go up/down)
• Form hypothesis – test them and measure with data
• Try different perspectives - Invite others to delve with data
• Present your message clearly and call for action
16Data to insights
17. Invest in the right people and processes
• People:
• Passionate
• Curious
• Technical Skillset
• Data Scientist ?
• Processes:
• Consistent and repeatable
• Automatable
• Measure effectiveness
17Data to insights