Data driven decision making in your everyday life from the perspective of a Data Analyst

1. Data, Decisions & Disruption
WITH HENRICA MAKULU
∙ CASSAVA SMARTECH DATA ANALYST ∙
∙ FOUNDER OF HM DIGITAL ∙

2. 1. Disruption
2. Decisions
3. Data Stories
4. Day in the life of
AGENDA

3. DISRUPTION
The world is moving. Think back 5, 10, 15 years. 4IR is here
The future of careers is different: be future ready
Self-service (e-commerce, airport check-in,
vending machines etc)
Artificial Intelligence
(self driving cars, Google home, robots, drones etc)
Big Data
Cloud
5G
Business powerhouses are big data users

4. DECISIONS What industry are you in?
…Choose a job you love, and you will never have to work a day in your life… - Confucius

5. DATA DRIVEN DECISIONS
From January 2020 to date we have
managed to service 50 clients,
almost half of whom are in the food
industry. This is a slight decline
(17%) from the 56 clients we served
in 2019. Please find attached a
detailed breakdown by industry
5
13
26
24
25
13
0% 20% 40% 60% 80% 100%
2019
2020
Manufacturing Food Clothing
2020: 50 17% YoY
2019:
56

6. DATA STORY 1-
The numbers necromancer Exec
…If you torture the data long enough, it will confess to anything… - Ronald H Coase
43
25
35
45
38
29
24 44
18
28 34
31
Mon Tue Wed Thu Fri Sat

7. DATA STORY 2-
The nerdy everydayer
Week1 Week2 Week3 Week4 Week5 Week6
Article #1
Article #2
Article #4
Article #5
Article #6
Article #7
Article #10
…Without data you're just another person with an opinion… - Unknown

8. Henrica Makulu
Day Transactions Subscribers Amount
Mon 2000 1000 2500
Tue 1500 800 2000
Wed 1600 850 2000
Thur 1800 900 2200
Fri 2100 1000 2600
Sat 1450 800 2500
Sun 500 400 2000
0
1000
2000
3000
4000
5000
6000
Mon Tue Wed Thur Fri Sat Sun
Daily Numbers-Stacked
Column Chart
Txns Subs Amt
A day in the life of
Figures have been edited and do not reflect actual figures

9. Henrica Makulu
Day Transactions Subscribers Amount
Mon 2000 1000 2500
Tue 1500 800 2000
Wed 1600 850 2000
Thur 1800 900 2200
Fri 2100 1000 2600
Sat 1450 800 2500
Sun 500 400 2000
0
500
1000
1500
2000
2500
3000
1 2 3 4 5 6 7
Daily Numbers – Line Chart
Txns Subs Amt
Figures have been edited and do not reflect actual figures
A day in the life of

10. Henrica Makulu
Select All
From Table
Where Day = ‘Sat’
Day Txns Subs Amt
Sat 1450 800 2500
select
fromwhere
if and
Day Transactions Subscribers Amount
Mon 2000 1000 2500
Tue 1500 800 2000
Wed 1600 850 2000
Thur 1800 900 2200
Fri 2100 1000 2600
Sat 1450 800 2500
Sun 500 400 2000

11. Henrica Makulu
import
describe
head()
pd.read_excel

13. 13
LinkedIn Youtube IBM Digital
Nation
• Coursera
• Udemy
• DataFlair
• DataCamp
• Excel
• PowerBI,
Tableau,
Qlik Sense
• Python / R
• SQL
Data-cate yourself
Courses Tools

14. IF YOU FORGET EVERYTHING ELSE
REMEMBER THIS!
Data speaks Stories are just data
with a soul
Data makes you
better at whatever
you are already doing

15. THANKYOU!
EMAIL: HENRICAMAKULU@GMAIL.COM
HENRICA MAKULU