Watson Analytics is a cloud-based self-service business intelligence and data discovery tool that enhances, scales, and accelerates human expertise to help address complex challenges. It allows business users to access and analyze corporate data from various sources through a natural language interface to gain insights. Watson Analytics helps users prioritize accounts receivable, improve employee retention, optimize marketing campaigns, and increase customer retention through predictive analytics and visual storytelling.

1. Watson Analytics
Fabian Au
Digital Sales Specialist, Watson Analytics
fabianau@sg.ibm.com
+65 96751500

2. Watson Analytics
Everyone can be a “Citizen” Data Scientist

3. What is Watson Analytics
Cloud based Self-Service Business Intelligence & Smart Data
Discovery tool

4. Watson Analytics
Enhance, Scale, and Accelerate human expertise. Targeting a
wide range of complex challenges

5. Self-Service Business
Intelligence
Approach to data analytics that enables
business users to access and work with
corporate information

6. Enterprise Data Warehouse
Watson
Analytics
Social
Media
Web
Analytics
CRMERP

7. Watson Analytics
Business user led
analytics
1 change can improve
everything
10’s of insightful
discoveries
…
100’s of new questions asked
each day
?
?
?
?
?
Complementary nature of Watson Analytics
and Enterprise Analytics platforms
Analytic platforms and
database sources
Advanced user and IT
managed analytics

8. Value of self-
service BI
customers receive
Employees
can do
analysis on
their own
IT team can
focus on
mission
critical issues
Eliminate
corporate
decision
fatigue
Reactive to
proactive
corporate
culture
Increase
departmental
collaboration

9. Great
companies
are…..
5.4 times more
likely to use
analytics over
intuition
2 times more
likely to say
that it is a
differentiator
3 times more
likely to be
more
sophisticated
analytics users

10. Limited
understanding
of how to use
analytics to
improve the
business
Lack of
bandwidth
due to other
mission critical
items
Lack of
analytics and
technical skills
within LOB
Too much time
is spent in data
preparation
and
acquisition
Leveraging
self-service
analytics still
faces many
obstacles

11. How does Watson Analytics help you?

12. Pre-built Data
Connections

13. Natural
Language
Dialogue

14. Cognitive
Capabilities

15. Guided
Intelligence

16. Predictive
Capabilities

17. Visual
Story Telling

18. Large FMCG Company
Financial Analytics
Business Case
Customer wanted a more efficient method to understand how their different
product line are doing as compared to competitors, how various distribution
channels are doing and to monitoring their inventory levels to help gain insights
into pricing and profitability of the product for better financial planning and
budgeting.
Benefit
- Reduce time taken in data preparation and acquisition
- Generated useful and more accurate insights for planning and budgeting by
allowing line of business to do their own analysis.
- Gain visibility of the most profitable products to enhance growth strategy.
Case
Study

19. Business Case
Customer have a huge centralized data warehouse and want their employee and
customers (who mainly are business users) to be able to access these data using a
simple to use and intuitive platform so that it allows them to do analysis on their
own.
Benefit
-Increase value in their existing offering to their customers.
-Providing their customers with access to data in a shorter time.
-Increase the productivity of their project managers
Large Consulting Firm
Watson Analytics as a Service
Case
Study

20. Where can
Watson Analytics
be used?
Prioritizing
Accounts
Receivable
Employee
Retention
Helpdesk
Case
Analysis
Campaign
Planning and ROI
Warranty
Analysis
Customer
Retention
Finance HRITMarketing OperationsSales

21. Where can
Watson Analytics
be used?
Prioritizing
Accounts
Receivable
Employee
Retention
Helpdesk
Case
Analysis
Campaign
Planning and ROI
Warranty
Analysis
Customer
Retention
Finance HRITMarketing OperationsSales

22. “How can I make sure I target the hottest
leads to plan for my upcoming campaign?
How can I increase the value of the
customers I already have? How can I create
more successful campaigns in the future?”
Lisa Hay, Marketing Manager

23. Watson Analytics shows
Lisa what good leads look
like so she can understand
why they are more likely to
buy. She can then target
leads and prospects with a
higher likelihood of
becoming a sale to boost
revenue. She no longer has
to waste time or resources
pursuing leads that go
nowhere.
Opportunity ranking
Lisa Hay

24. Customer Value
Lisa Hay
Watson Analytics reveals the
attributes that drive
profitability and indicates
customers who meet
identified profitable profiles.
Lisa can provide those
customers with targeted
recommendations—no matter
how they interact with Lisa’s
company. This can lead to
increased conversions and
greater customer value.

25. Watson Analytics uses
predictive analytics to show
Lisa which customers
respond to various
campaigns. She can also
see the likelihood that
customers will respond. Lisa
can then increase the
success of her campaigns
by making the right offer to
the right customer at the
right time through the right
channel.
Better marketing campaigns
Lisa Hay

26. Watson Analytics
analyzes and predicts
customer behavior to
shows Lisa which
customers are at risk of
leaving and why. She can
then make targeted offers
designed to convince
them to stay, increasing
retention and customer
profitability.
Customer Retention
Lisa Hay

56. Quick start
intuitive
interface
Key business
driver insights
Dashboard and
storytelling
authoring
Natural
language
dialogue
Easy data
upload and
Refinement
capabilities
Single Interface … Explore > Predict > Assemble

57. Thank You!