Watson Analytics Presentation

Watson AnalyticsFabian Au

Digital Sales Specialist, Watson Analyticsfabianau@sg.ibm.com

+65 96751500

Watson AnalyticsEveryone can be a “Citizen” Data Scientist

What is Watson AnalyticsCloud based Self-Service Business Intelligence & Smart Data

Discovery tool

Watson AnalyticsEnhance, Scale, and Accelerate human expertise. Targeting a

wide range of complex challenges

Self-Service Business Intelligence

Approach to data analytics that enables business users to access and work with

corporate information

Enterprise Data Warehouse

Watson Analytics

Social Media

Web Analytics

CRMERP

Watson Analytics

Business user led analytics

1 change can improve everything

10’s of insightful discoveries

…

100’s of new questions asked each day

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Complementary nature of Watson Analytics and Enterprise Analytics platforms

Analytic platforms and database sources

Advanced user and IT managed analytics

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

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

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

How does Watson Analytics help you?

Pre-built Data Connections

NaturalLanguageDialogue

CognitiveCapabilities

Guided Intelligence

PredictiveCapabilities

VisualStory Telling

Large FMCG Company Financial Analytics

Business CaseCustomer 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

Business CaseCustomer 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 FirmWatson Analytics as a Service

Case Study

Where can Watson Analytics be used?

PrioritizingAccounts

Receivable

Employee Retention

HelpdeskCase

Analysis

CampaignPlanning and ROI

WarrantyAnalysis

Customer Retention

Finance HRITMarketing OperationsSales

Where can Watson Analytics be used?

PrioritizingAccounts

Receivable

Employee Retention

HelpdeskCase

Analysis

CampaignPlanning and ROI

WarrantyAnalysis

Customer Retention

Finance HRITMarketing OperationsSales

“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

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

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.

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

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

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

Thank You!