The document discusses building impactful dashboards and choosing the right visualizations. It introduces Looker, a modern data platform that allows for flexible querying of raw data stores, transforming data on query for agility. Traditional business intelligence required extracting and cubing data into inflexible data warehouses, limiting questions and distribution. Looker aims to enable unrestricted questions, simple and flexible querying, and empower business users and data engineers.

1. Building Impactful
Dashboards
SaaStock ‘19 - Data & Architecture Bootcamp
Ernesto Ongaro, Data Analyst @ Looker Dublin

3. Are you getting one of these every day?

4. Do you remember the
last time it changed
anything for you?

5. ©Looker2018.Confidential
Over to you…
1) Name / Role / Elevator Pitch
2) What you hope to get out of today
3) Your experience with data

6. Where do we start?
Data? Outcomes?
People? Design?
Problems?

7. Agenda
1 Introductions
2 Start with Why
3 Sanity vs Vanity
4 Choosing the Right Visualization
5 Intro to Looker
©Looker2018.Confidential

8. The Big Idea
©Looker2018.Confidential

9. I’m building a dashboard for __[specific group]__.
It will help them _[get insights into something]_.
This data will __[drive positive result]_, resulting
in __[measurable ROI]______.

10. I’m building a dashboard for support managers.
It will help them monitor chat load and quality.
This data will help us grow the team to meet
demand while keeping high standards, resulting
in, happier customers, happy staff.
demo

11. I’m building a dashboard for support staff.
It will help them monitor their chat quality.
This data will help employees progress, resulting
in, happier customers, happy staff.
demo

12. I’m building a dashboard for _[1-specific group]_.
It will help them _[2-get insights into something].
This data will __[3-drive positive result]_,
resulting in __[4-measurable ROI]______.
Your turn!

13. Agenda
1 Introductions
2 Start with Why
3 Sanity vs Vanity
4 Choosing the Right Visualization
5 Intro to Looker
©Looker2018.Confidential

14. I’m sorry but those are vanity metrics
100k LIKES
1M
Monthly
Active
Users
20M
page
views
6000
downloads

16. “
“
Get caught looking in
the mirror and you’ll
miss the real metrics
driving your business.
Lloyd Tabb on Vanity Metrics

17. We analyze all the
platform data
available - When
someone attempts
to sign, completes
the signup, pushes
an app, has spend,
etc
Choosing the Right Metric

19. Reverse Engineer Each Metric - what is it trying to promote?

20. Your Turn!
Vanity Metric Sanity Metric
# Trial Users
# Page Views
$ Marketing Spend
Churn Rate %
# Leads Captured

21. Just because it’s
easy to measure,
doesn’t mean it’s
the right metric
©Looker2018.Confidential

22. Agenda
1 Introductions
2 Understanding Your Audience
3 The Value of Visualizations
4 Choosing the Right Visualization
5 Dashboard Layout Tips and Tricks
©Looker2018.Confidential

23. Visualization challenges
©Looker2018.Confidential
Have you ever been misled by a visualization?

24. Visualization challenges
©Looker2018.Confidential
Have you ever seen a visualization that was overly complicated?

25. Choosing the Right Chart Type
©Looker2018.Confidential
Link to map

26. How does each region of the world compare in
Gross National Income (GNI) per Capita?
©Looker2018.Confidential

27. Why It Matters
©Looker2018.Confidential
Comparing Gross National Income (GNI) per Capita across Regions
https://jttlabs.looker.com/embed/looks/41

28. Why It Matters
©Looker2018.Confidential
Comparing Gross National Income (GNI) per Capita across Regions
https://jttlabs.looker.com/embed/looks/40

29. How is Gross National Income (GNI) per Capita
changing overtime across the regions of the
world?
©Looker2018.Confidential

30. Why It Matters
©Looker2018.Confidential
GNI per Capita by region year over year
https://jttlabs.looker.com/embed/looks/26

31. Why It Matters
©Looker2018.Confidential
GNI per Capita by region year over year
https://jttlabs.looker.com/embed/looks/29

32. Why It Matters
©Looker2018.Confidential
GNI per Capita by region year over year
https://jttlabs.looker.com/embed/looks/28

33. Agenda
1 Introductions
2 Understanding Your Audience
3 The Value of Visualizations
4 Choosing the Right Visualization
5 Intro to Looker
©Looker2018.Confidential

34. ©Looker2019.Confidential
34
Data Technology Has Changed
Databases Then Databases Now

35. ©Looker2019.Confidential
35
Why?
Bottleneck Chaosand/or
NEXT!
Analyst

36. Unified metrics | Permissioning | Version-control | Security | 100% Cloud
Robust platform
Unified understanding
of data & metrics
Complete picture
A rich view with all your
company’s data
Unlimited
experiences
Best-in-class BI, plus
anything else you want to
build
Looker Data Platform
Integrate Insights
Data everywhere
Build with Looker
Productize embedded analytics
Internal embed
Embed back into SaaS tools
iFrame embed anywhere
Reports delivered to your inbox
Dynamic alerting
Feed ML/AI workflows
Data Lake
Best-in-Class Business
Intelligence & Analytics
Export data into other platforms

37. ©Looker2019.Confidential
SUMMARY
Traditional Approach
Extracts and Cubes
INFLEXIBLE
Data Warehouses
SLOW
Questions, Agility, Distribution
LIMITED
I
G
J
M
H
N
F
L
D
K
Q
B
A
C
P
E
R
S
Q
HEAVYWEIGHT
Transformation
BUSINESS USERBI TEAMETL TEAM DBAs
WHY IT
HAPPENED
HAVE A NEW QUESTION?
RAW
DATA
COLLECTION
WHAT
HAPPENED

38. ©Looker2019.Confidential
Looker’s Modern Approach
Unrestricted Questions
FLEXIBLESIMPLE
Extract + Load
I
G
M
H
N
F
D
K
Q
A
C
P
E
R
S
Q
T
U W
X
G
H
Q Z
H
U
S
A
MODERN DATASTORE
Z
Transform on Query
PERFORMANT
RAW
DATA
COLLECTION
DATA ENGINEERS BUSINESS USERS
K
E
SQL
LookML Model
AGILE
SOFTWARE INNOVATION

39. ©Looker2018.Confidential