The dawn of digital businesses is upon us, with reimagined business models that make the best use of digital technologies such as automation, analytics, integration and cloud. Digital businesses are efficient, continuously optimizing, proactive, flexible and are able to fully understand their customers. Analytics is a key technology that helps in doing so. It acts as the eyes and ears of the system and provides a holistic view on the past and present so that decision-makers can predict what will happen in the future. This webinar will explore Why becoming a digital business is not a choice The role of analytics in digital transformation with examples How best to leverage state of the art analytics technology

1. Srinath Perera
VP Research, WSO2
srinath@wso2.com
Transforming a Business Through
Analytics

2. 2
Day in Your Life

3. –Buzz Aldrin
“You promised
me Mars
Colonies, but we
got Facebook
instead”

4. Uber
• A company worth XX
• A taxi company that does not have cars or drivers
A Taxi
company
without cars
or drivers 4

5. Digital Organizations
• Organizations that uses Digital technologies to
fundamentally rethink how they work
• Organizations that change the bottom line and leap us
to the future the way industrial revolution did
• Most of us in our age dress better, eat better, live
longer, compared to King’s in 18th century
5

6. If you collect data about your business, and feed it to a Big Data
system, you will find useful insights that will provide competitive
advantage
– (e.g. Analysis of data sets can find new correlations to "spot business trends,
prevent diseases, combat crime and so on”. [Wikipedia])

7. Question the Data
• Analytics let you question
the data
• How many, history, trend
• They let you match the
reality with your belief of
how the world works
7

8. KPIs and their Role
• KPIs (Key Performance Indicators) are
numbers that can give you an idea about
performance of something
• Examples - Countries have them ( GDP, Per
Capita Income, HDI index etc) , Company
Revenue , Lifetime value of a customer ,
Revenue per Square foot ( in retail industry)
• Often one indicator tells half the story, and
you need several that cover different angles
8

9. What is a Dashboard?
• Think a car dashboard
• It give you idea about
overall system in a
glance
• It is boring when all is
good, and grab
attention when
something is wrong
• Support for drill down
and find root cause

10. Example: Big Data for Development
• Done using CDR data
• People density noon vs. midnight
(red => increased, blue =>
decreased)
From: http://lirneasia.net/2014/08/what-does-big-data-say-about-sri-lanka/

11. Beyond Simple Analytics
11
Picture by Dan Ruscoe (CC) https://www.flickr.com/photos/druscoe/8031488298
Realtime Intelligent

12. Real-time:Value of some Insights
degrade Fast!
1. Stock Markets
2. Fraud
3. Surveillance
4. Patient Monitoring
5. Traffic12

13. Boyd's key concept was OODA
loop.
According to this idea, the key
to victory is to be able to create
situations wherein one can make
appropriate decisions more
quickly than one's opponent.
13

14. Real Time Analytics with Complex Event Processing
14

15. Case Study: People Tracking with BLE
15
• Traffic
Monitoring
• Smart retail
• Airport
management
Track people through
• BLE via triangulation
• Higher level logic via
CEP

16. "I skate to where
the puck is going to
be, not where it has
been." - Wayne
Gretzky
(Called "the greatest
hockey player ever”
He is the leading scorer in
NHL history)
16

17. Predictive Analytics
17
Machine learning
• Given examples build a
program that matches
those examples
• We call that program a
“model”
• Major improvements in
last few years (e.g.
deeplearning)
Can you “Write a program
to drive a Car?”
17

18. Case Study: Predict Wait Time in the Airport
• Predicting the time to go through airport
using location data
• Real-time updates and events to passengers
via the App

19. Optimizations
• Logistics, day to day
operations
• Supply Chain
Analytics
• Demand prediction
19

20. Get Close to
your Customers
• Use analytics to
optimize the experience
• Predict issues and
proactively handle them
( e.g. reschedule
automatically when
flight has missed)
• Predict churn and act
• Track the brand and
manage it
• Target your marketing

21. New Digital inspired
Products and Revenue
Streams
• New way to do business (e.g.
Uber, Amazon Go)
• Product as a Service (e.g. IoT
Jack hammer, Light as a
service)
• Progressive Insurance Gadget
• Sell insights ( Telcos knows
where people are, credit card
companies know what people
buy and their demographics,
navigation apps know traffic)

22. HR, Performance, Learning
• Hiring
• Skill registries, Finding right
person for the job
• Perfomance Appraisal
• Post mortem, learn from past
incidents
• See patterns for improvement
22

23. Data Driven Organizations
• Goals defined as well balanced
KPIs
• The First KPI should measure
the output (e.g. processed
claims count)
• the second KPI should
measure the quality (e.g.
mistakes occurred).
• Monitor and manage KPIs
• Many Experiments, KPIs for
decisions, and keep what works
23

24. Making this real

25. Conceptual Architecture
• APIs play a key role
in data collection
• Need to respond to
events as fast as
possible
• Incremental
Analysis is key

26. Anomalies, Alerts, Drill Down,
Decisions
26

27. Can we not do it?
• No, because whoever
does that have decisive
advantage
• It is like gun power was
more risky ( it can get
wet, can be blown, you
can run out), yet you need
it
27

28. Analytics does not replace
Thinking and Common Sense

29. How to do it? Small Wins
• Start Small
• Find pain points, and use
technologies to fix them ( problem:
vehicle fleet cost is too much, track
the fleet usage stats)
• Improve iteratively, go all the way
until you make a real difference
• Keep your eyes on the goal, not on
shiny technology
29

30. Questions?
https://hackernoon.com/role-of-analytics-in-a-digital-
business-e4762b20272f