The document defines data as information that can be factual, digital, or processed from sensory devices, and highlights the importance of data for making informed decisions and maximizing customer service. It also distinguishes between data engineers, analysts, and scientists, and provides practical examples of how individuals like vegetable sellers and bakers can leverage data to improve their businesses. Furthermore, it discusses how charity leaders can use donor and recipient data to enhance fundraising efforts and create personalized experiences.

3. What is Data?
• In general terms, data is information
• Factual information (such as
measurements or statistics) used as a
basis for reasoning, discussion, or
calculation – Save Word
• Information in digital form that can be
transmitted or processed – Save Word
• Information output by a sensing device
or organ that includes both useful and
irrelevant or redundant information
and must be processed to be
meaningful – Save Word
• Information, especially facts or
numbers, collected to be examined and
considered and used to help decision
making, or information in the
electronic form that can be stored and
used by a computer – Online Dictionary
• Collection of discrete values that
convey information, describing
quantity, quality, fact, statistics, other
basic units of meaning, or simply
sequences of symbols that maybe
further interpreted – Wikipedia

4. 5V of Data

5. Why do companies need data?
Keeping track of information
Keeping
Minimizing assumption
Minimizing
Making informed decisions
Making
Maximizing the opportunities
Maximizing
Serving customers better
Serving

6. How Big Companies Use
Data?
• Google autocompletes and predicts what you type just in milliseconds
• Spotify random shuffle plays songs with similar theme
• Netflix use personalized trailer to hook viewers to watch genres that
they are usually not like to watch
• Amazon has a dynamic pricing feature to set the price automatically
based on user behavior, past purchases, trends, etc
• Instagram: when people talk with each other, ads will pop up just like
what those people talking about

7. What’s the difference between data
engineer, analyst, and scientist?
Data Engineer Data Analyst Data Scientist
Job descriptions Build and optimize the
systems that allow data
analysts to perform their
work
Deliver value by
analyzing data,
communicating the
results to help making
business decisions
Use data to solve
business problems
Requirement skills Strong programming
skill, cloud computing,
big data
Communication skills,
business domain
knowledge
Programming, statistics,
mathematics, big data
Technology stack SQL, Python, Cloud,
Distributed Computing
SQL, BI Tools, Python, R SQL, Python, R, Cloud

9. If you become a data analyst.
● What data that you need?
● Why?
● And how?
1. Raphael is a mobile vegetables seller. Everyday he sells a lot of veggies to the moms in many
housing complex. Can Raphael step up his game to be a data-driven vegetables seller? If yes,
how can he do it?
What data do you need? (Top
3)
Why do you need it? How do you use it
-Daily sales data
-Customer data
-Supplier data
-To forecast potential demand.
Since the veggies are easily rotten
-Process the data from daily sales
data
-Interpret the sales result, further
clustered by the customer groups
-Match with data supplier is also
required if we want to ensure the
demand is fully covered.

10. 2. Shaenette loves baking so much that she is considering selling her
pastries online. Do you think she needs to be data-driven? What are your
advices to her?
What data do you need? (Top
3)
Why do you need it? How do you use it
-The product data (type of
pastries)
-Average price of pastries that are
sold online
- Customers data
-To help her plan what kind of
pastries to sell at an affordable
price as she needs to follow the
trends and meet the customers’
demand.
-Process the product data, average
price of pastries on the online
store, and customers’ data.
-Analyze the average price of
pastries on the online store. It will
help her to decide the best price
for her product so she can
outstand her competitors by
applying lower prices.
-Analyze the product data and
customers’ data for the past 3
months to see which type of
pastry generates the most
revenue. She can combine this
data with the customers’ data
such as age, transaction, and
residency to understand the
purchase trend and help her
expand her customer base.

11. 3. Haji Endo is the head chief of one of the largest charities in Yokohama.
Fundraising and distribution in traditional fashion have been running for
years, but Haji Endo wants to do a breakthrough: to serve the donors and
recipients more personally. What can he do?
What data do you need? (Top
3)
Why do you need it? How do you use it
-The donor data
-Recipient data
-The number of charities involved
in a particular time. For example,
within 3 months
- To obtain a better understanding
the needs of the fundraising
recipients, the donors’ behavior,
and better donation distributions
-Process the collected donor and
recipient data.
-Analyze the donor and recipient
data to plan the charity programs
that are suitable to both the
donors and the beneficiaries.
These data also help Haji Endo to
create a more personalized and
better charity experience.
-Through analyzing the data about
the charity’s quantity at times,
Haji Endo can better prepare the
fundraising and seek what kind of
donors are needed most at certain
times.

12. Follow me!
Instagram : elyadawigatip
Twitter : @EliNoBishamon
LinkedIn : https://www.linkedin.com/in/elyada-wigati-
pramaresti-1a2387170/
Bootcamp Data Analysis
by @myskill.id