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WELCOME TO
The Future of Analytics in Action:
The Art of the Possible
Goals for Today
•  Share the cloud-based data management and analytics technologies
that are enabling rapid development of new mobile applications
•  Discuss examples of how these technologies are being applied to
transform a diverse set of industries
•  Hear from you about your most pressing challenges to harness the
data you have to provide additional value for your customers
©2015 IBM Corporation
Today’s Agenda
8:30 am to 9:00 am
Registration and Continental Breakfast
9:00 am to 10:00 am
The Future of Analytics in Action: The Art of the Possible
10:00 am to 10:30 am
Demonstration
10:30 am to 10:45 am
Break
10:45 to 11:15 am
Real World Insights: Pointsource, Comdata & Cloudant
11:15 to 11:45 am
Open Q+A
11:45 am to 12:00 pm
Wrap-Up
12:00 pm to 1:00 pm
Lunch and Networking
©2015 IBM Corporation
The Future of Analytics in Action:
THE ART OF THE POSSIBLE
Why the Journey to Cloud-based Analytics?
MISSION
To provide the best experience for developers with a
comprehensive set of rich, integrated cloud data
services covering content, data and analytics.
FASTER
INNOVATION
BETTER IT
ECONOMICS
LOWER RISK
OF FAILURE
Instant provisioning saves
weeks of data center setup
Pay as you go with no
big up-front capital
investments
Fully managed 24x7 so you
can focus on new
development
©2015 IBM Corporation
The Future of Analytics from Our DBaaS Offerings
Transactional DBaaS
Analytic DBaaS
Cloudant
SQL DB
dashDB
BigInsights on Cloud
NoSQL DBaaS
Relational DBaaS
Relational Data Mart
Enterprise
Hadoop
©2015 IBM Corporation
IBM Voted #1 Cloud Provider by Enterprise Users
Amazon Web Services
Microsoft
IBM
Based on an April 2015 451 Research survey of more than 2,000 enterprise cloud users - commissioned by Microsoft
©2015 IBM Corporation
The IBM Cloud
- “Bare-metal” outperforms virtualized
- Dedicated hardware
- 40 data centers worldwide
©2015 IBM Corporation
IBM Bluemix
Bluemix is an open-standard, cloud-based platform for building,
managing, and running applications of all types (web, mobile, big
data, new smart devices, and so on).
Go Live in Seconds
The developer can choose
any language runtime or
bring their own. Zero to
production in one command.
Layered Security
IBM secures the platform
and infrastructure and
provides you with the tools
to secure your apps.
On-Prem Integration
Build hybrid environments.
Connect to on-premise
assets plus other public and
private clouds.
Flexible Pricing
Sign up in minutes. Pay as you
go and subscription models
offer choice and flexibility.
DevOps
Development, monitoring,
deployment, and logging
tools allow the developer to
run the entire application.
APIs and Services
A catalog of IBM, third party,
and open source API
services allow the developer
to stitch an application
together in minutes.
©2015 IBM Corporation
IBM can help your organization deliver new insights at
every level, and in every department, in your organization.
Operations
Human Resources
Customer
Service
Product Development
Sales
Finance
Marketing
©2015 IBM Corporation
The Latest Cloud Analytics
and Offerings
How They’re Changing Analytics & Data Management for our Clients Today
IBM Cloudant
©2015 IBM Corporation
‹#›
© 2015 IBM Corporation
IBM Cloudant
Cloudant is a data management solution that leverages the availability,
elasticity, and reach of the cloud to create a global data delivery network
that enables applications to scale larger and remain available to users
wherever they are.
For apps that need:
Available as:
•  Elastic scalability
•  Fully managed DBaaS
•  High availability
•  On-premises private cloud
•  Data model flexibility
•  Hybrid architecture
•  Data mobility
•  Text search
•  Geospatial
©2015 IBM Corporation
IBM Cloudant
Supporting Applications at Web Scale
Cloudant helps make your web and mobile applications
more scalable and more available to users wherever they
are.
•  Operational JSON NoSQL data store
•  RESTful CouchDB API
•  Advanced APIs
•  Replication & Sync
•  Incremental MapReduce
•  Geospatial
•  Lucene Full-text Search
•  Scalable, Highly Available Performance
with cross-data center data distribution
& fail over
•  Geo load balancing
•  Offline access to the data
•  Available as a fully managed cloud
service and an on-premises software
product – enabling hybrid deployments
©2015 IBM Corporation
Cloudant Hub
©2015 IBM Corporation
Use Case 1
Comdata: Payment Processor leverages the advanced geospatial
capabilities of Cloudant to build a new mobile application
The combination of Cloudant’s advanced geospatial capabilities, security,
and managed service give Comdata a competitive advantage in terms of the
experience they can deliver to their end users
©2015 IBM Corporation
Use Case: Comdata
Company Background:
Payment processor and issuer of fleet fuel cards
headquartered in Tennessee. Improved consistency
options for secondary indexes
Need:
A mobile app that delivers a better experience for end
users of Comdata’s payment processing system.
Success Criteria:
Show locations of vendors that use Comdata’s payment
processing, enable offline usage, and optimize routes.
Complete within 20 months.
9
MONTHS
Solution & Results:
•  A new mobile application launched in 9 months.
•  Advanced geospatial capabilities give Comdata a
competitive advantage.
•  Cloudant’s managed service means Comdata can
keep overhead costs down.
20
MONTHS
•  Comdata avoids the costs, overhead, or latencies of
ETL by with the schema flexibility Cloudant’s JSON
document store provides.
©2015 IBM Corporation
Use Case: Comdata - Reference Architecture
Mobile Devices
MobileFirst
on Softlayer
Local Storage
Cloudant
MobileFirst
adapter
User profiles, preferences, point
of interest, etc.
Geolocation information
originally stored in DB2
Comdata Firewall
Relational Database
©2015 IBM Corporation
Use Case 2
A Large Investment Research & Management Firm: needed a
persistent data store to maintain and access financial analytical reports
Cloudant’s schema-less architecture and horizontal scalability enables
their users users to have real-time access to reports and analytics
generated by IBM PureData for Analytics
©2015 IBM Corporation
Use Case: Investment Research & Management Firm
Company Background:
Global Investment & financial services research firm.
Need:
Provide real-time access to data for a new system of
engagement application for accessing and visualizing
reports from Netezza through a custom API.
Success Criteria:
•  Support for high volume of user concurrency –
something a warehouse environment like Netezza
cannot provide
•  Integration with other IBM products – like Netezza
Solution & Results:
•  Schema-less architecture enables the ability to store
the data without needing a schema definition prior to
inserting the data from Netezza.
•  Does not require time consuming schema changes
when different data must be captured and processed
•  With Cloudant, the firm is transforming how their
users access data
©2015 IBM Corporation
Extending your warehouse environment
5.
1. An end user requests a dataset to be
visualized by a Customer Service.
2. The request is processed through a
Customer API which queries Netezza
(or any other data warehouse) for the
requested data. 4.
Customer 4.
API
3.
1.
2.
3. Netezza returns the requested
dataset back to the Customer API. 4. The Customer API internally prepares the data for visualization and storage by converting it
into JSON format. A small subset of the data will be sent to the calling application for
visualization while the full dataset will be persisted into Cloudant. 5. The initial requesting application can now query, page, sort, etc against the data in Cloudant until they are finished.
©2015 IBM Corporation
©2015 IBM Corporation
©2015 IBM Corporation
IBM dashDB
Supporting Applications at Web Scale
Fast, fully managed, cloud data warehouse that leverages integrated
analytics to deliver answers as fast as you can think. dashDB’s unique
built-in analytics, R predictive modeling and business intelligence tools
free you to analyze your data to get precise insights, quicker.
•  Built-in performance with in-memory
technology
•  Predictive modeling built into the database
(linear regression, k-means clustering, Esri
compatible, and more)
•  Works with an ecosystem of apps and tools
•  Integrated security and maintenance
©2015 IBM Corporation
The Future of Cloud Based Analytics:
A foundation with dashDB
•  Fully managed data warehouse in the cloud
•  In-memory acceleration capabilities with
columnar technology, advanced compression,
and buffer pool technology
BLU
Acceleration
•  In-database predictive analytics & R-support
Netezza
In-Database
Analytics
•  Integrated with Cloudant for analytics on JSON
data from web & mobile apps
•  True “Load & Go” approach – no need to
predefine indexes
•  Built-in Netezza analytic algorithms
Cloudant
Database
as a Service
Coming in 2Q!
• Enhanced Netezza Compatibility • Oracle Compatibility Mode • MPP •
©2015 IBM Corporation
Use Case 3
A Food Distributor: had been using Oracle but required better
insight into streamlining sales operations through their various
channels/businesses
©2015 IBM Corporation
Use Case: Food Distributor
Company Background:
An international food distributor with zero analytics or insight
around financial data from different areas of the business.
Need:
Required better insight into streamlining sales operations
through their various channels (consumer, wholesale,
pet food, retail).
Success Criteria:
•  Traditionally, an Oracle Shop, but the marketing
department brought in and required integration
with Tableau
•  Someone to perform rapid provisioning of the data
warehouse on the cloud without requiring any DBA
expertise
Solution & Results:
•  They were able to access the data seamlessly
using Tableau.
•  Without a DBA, they were able to load data into the
dashDB data warehouse and used Watson Analytics
in along with dashDB to perform even deeper analytics
©2015 IBM Corporation
Use Case: Food Distributor - Architecture Details
IBM Watson Analytics
Softlayer Dallas
Public Cloud
The company’s team created their
own scripts to load the data
Oracle Database Environment
Arkansas Datacenter
Financial Data
©2015 IBM Corporation
Use Case 4
A Car Manufacturer: requires a data management or analytic
solution to understand campaign effectiveness.
©2015 IBM Corporation
Use Case: Car Manufacturer
Company Background:
A multinational car manufacturer is equipping their 2015
and later models with an "interactive" infotainment system.
Need:
A data management or analytic solution to understand
campaign effectiveness.
Success Criteria:
Take unstructured data, automatically format it, and report
against it in the cloud, allowing the company’s marketing
team & merchants to segment customers and measure
campaign effectiveness.
Solution & Results:
•  Provisioned a prototype environment of dashDB
with Cloudant in 24 hours illustrating the speed and
agility possible
•  Flexibility and power of the IBM portfolio was critical for
the project’s success
•  The car manufacturer is getting a lot of value and analytics
from their infotainment systems.
©2015 IBM Corporation
Use Case: Car Manufacturer - Architecture Details
Other Data Sources
Vehicle Data
IBM Datastage
JSON data to relational
Cloudant Schema Discovery Protocol
IBM dashDB
IBM Cloudant
©2015 IBM Corporation
IBM Big Insight on Cloud
©2015 IBM Corporation
©2015 IBM Corporation
IBM Big Insight on Cloud
Supporting Applications at Web Scale
Provision enterprise-scale, multi-node clusters on the cloud to meet your
business needs. Access your provisioned clusters for simple database
transactions, to augment your data warehouse, or to perform rich
analytics. With BigInsights on Cloud, our clients can manage less and
analyze more.
•  For Production and POC deployments at scale in the cloud
•  Delivers flexibility and efficiency with subscription pricing
•  Scales to meet spikes in demand without on-premise infrastructure
•  Drives enterprise-class, complex analytics on Big Data sets
•  Available via the IBM Cloud Marketplace and Bluemix
©2015 IBM Corporation
BigInsights on Cloud – Enterprise Hadoop
as a Service
Native Hadoop enriched with:
•  Faster performance
~4x faster than open source Hadoop
•  Visualization tools
•  Built-in R, streaming & text analytics
•  Data protection & governance
Easy to integrate
•  Connect common 3rd party BI tools
Enterprise Capabilities
Easy to adopt
•  Provisioned, hosted, scaled for you
Visualization & Exploration
Development Tools
Advanced Engines
Connectors
Workload Optimization
Administration & Security
Open
source
Big Data – easier, faster, richer
•  Analyze petabytes of any kind of data
on elastic compute clusters
Open source
Hadoop components
©2015 IBM Corporation
Use Case 5
A Pharmaceutical Company: embarks on treatment analytics with
an IBM cloud-based solution
©2015 IBM Corporation
Use Case: Pharmaceutical Company
Company Background:
A globally distributed $10+ billion pharmaceutical company
Need:
•  An analytics platform to execute against a time-sensitive project focused on the benefits of a
pharmacological treatment of obesity
•  Analysis to be performed on Electronic Medical Records (EMR) data that the organization owns,
but cannot fully analyze given system constraints.
Success Criteria:
•  Apply big data technologies and analytical techniques without having to manage an analytical
environment on-premises.
•  Gain the necessary insights regarding the relevance of pharmacological treatment of obesity,
which would allow the organization to build an economic model for obesity treatments.
Solution & Results:
•  The environment was provisioned and made available to the customer in less than 48 hours to
begin executing against the project
•  An analysis to inform discussion about the relevance of pharmacological treatment of obesity,
and to obtain costs estimates to build an economic model for obesity treatments.
©2015 IBM Corporation
IBM Cloud-based analytics summary
Global Operations
100s of Paying Customers
300% Growth Y2Y
300+ CDS Team Members
50,000+ Users
©2015 IBM Corporation
What Can You Do Now?
•  Go to bluemix.net and get an IBM ID to work with our Cloud Data
Services offerings and many other IBM cloud and SaaS offerings
•  Contact your IBM Analytics sales rep to secure a deeper discussion
into how our Cloud Data Services offerings can drive value and
transformative projects within your organization
•  Come find us at lunch ☺
©2015 IBM Corporation
Demonstration
Let’s Take a Break
Today’s Agenda
8:30 am to 9:00 am
Registration and Continental Breakfast
9:00 am to 10:00 am
The Future of Analytics in Action: The Art of the Possible
10:00 am to 10:30 am
Demonstration
10:30 am to 10:45 am
Break
10:45 to 11:15 am
Real World Insights: Pointsource, Comdata & Cloudant
11:15 to 11:45 am
Open Q+A
11:45 am to 12:00 pm
Wrap-Up
12:00 pm to 1:00 pm
Lunch and Networking
©2015 IBM Corporation
Questions?
©2015 IBM Corporation
Backup
©2015 IBM Corporation
Our Business Analytics and Intelligence Offerings
Predictive Analytics
SPSS Data Collection
SPSS Modeler Gold
Social Media Analytics
Risk
Algo Managed Services
Algo Risk Content
Algo Risk Reports
Algo Risk Service
Algo Pension Monitoring
IBM Open Pages GRC
Watson
Watson Analytics
Watson Curator
Content Management
Navigator
Business Intelligence
Cognos Business Intelligence
Performance Management
Cognos TM1
Cognos Concert
Cognos Disclosure Management
Cognos Quota Management
Cognos Territory Management
Cognos Incentive Management Compensation
©2015 IBM Corporation
Use Case: Cloud Analytics for Web & Mobile
Cloudant Sync
Build an app and analyze usage to:
•  Understand user behavior
•  Increase monetization
(iOS & Android)
Data
Center 1
Continuous, filtered
replication & sync
(Active DR)
Millions of users transact with
Cloudant via REST
HTTPS
HTTPS
Continuous, filtered
replication & sync
Off-line mobile data access enabled
by Cloudant Sync
HTTPS Continuous sync
Data
Center 2
(Active DR)
Perform analytics with dashDB
•  Data is continuously synched
with Cloudant
•  Accessed by BI Tools such as
Watson Analytics via Dataworks
Dataworks
dashDB
data mart
BI Tool
User
©2015 IBM Corporation
Use Case: Cloud Analytics for Agility
How quickly can you create
a 1TB data mart?
Web & Mobile users
•  Average Oracle &
Teradata data marts take
>50 days to implement
(ITG)
What are you spending on
QlikView per year?
Equip users with dashDB
and Big Insights for
modern, agile analytics
SQL DB
Aggregations
Big Insights
on the Cloud
ODBC
dashDB
data mart
ODBC
BI Tool Users
©2015 IBM Corporation
Use Case: Insurance Company – Architecture Details
3: Develop apps leveraging
Cloudant's API & enable
systems of engagement to
operate
at webscale
2: Push 360o data to Cloudant
for mobile workers
Cloudant Managed or
Local deployment
JSON
Auto
Policy
JSON
Home
Policy
JSON
1: Cloudant JSON data
sent to Watson Explorer to
index
Watson Explorer
CRM
HTML
FILE SHARES
RDMS
SOCIAL
EMAIL
SHAREPOINT
Billing
Data
©2015 IBM Corporation
Use Case: Pharmaceutical Distributor – Deeper Look
New data warehouse environment.
−  Customer does not have an existing analytics / warehouse solution.
−  This is often coupled with lack of skills/resources, preference to opex environments,
needs something quickly, does not have 100+TB environment.
Extend / Modernize
•  Extend on-premises data warehouse environments to the cloud
•  Flexible, cost-effective growth
•  Hybrid cloud models support ground to cloud
©2015 IBM Corporation
Use Case: Food Distributor– Deeper Look
COMPLETE CLOUD BASED ANALYTICS
•  New analytics project that leverages our offerings, Cloudant, dashDB, and SaaS based
Analytics through Cognos.
Extend / Modernize
• 
• 
• 
Easy synchronization of JSON to structured data
Allows analytics via standard BI tools
In-database predictive algorithms allow greater insight for
Cloudant users than ever before
Data Warehouse & Analytics Service
•  Data warehousing and analytics in the cloud
•  Cloud agility and flexibility
•  Analytics for cloud data, data marts, and development & test
environments
Extend / Modernize
•  Extend on-premises data warehouse environments to the cloud
•  Flexible, cost-effective growth
©2015 IBM Corporation
IBM Watson Analytics for smarter data discovery
100’s of new questions asked
each day through exploration and
discovery
10’s of insightful discoveries
presented to, and evaluated by
decision makers
1 change, improves alignment,
operations and reporting;
governed and scalable
Watson Analytics
Analytic platforms and
database sources
Business user led analytics
Advanced user and IT managed
analytics
©2015 IBM Corporation
Use Case: Insurance Company – Deeper Look
TIME SENSITIVE ANALYTICS PROJECT:
Seasoned analytics and warehouse customer, but looking at new analytics project that must get
off the ground quickly. Time to value, speed, simplicity, reduced risk of project failure are all
important.
Data Warehouse & Analytics Service
•  Data warehousing and analytics in the cloud
•  Cloud agility and flexibility
•  Analytics for cloud data, data marts, and development & test
environments
©2015 IBM Corporation
Use Case: Pharmaceutical Distributor – Architecture Details
Pharma UK Branch
Infinium/MBA
Montreal,
Canada
Netezza
Rancho
Cordova, USA
1
1
SAP
Stuttgart,
Germany
1
6
Softlayer Dallas
Private Network
2, 3
Information
Server
4
Tableau
Server
Softlayer Dallas
Public Cloud
1. 
2. 
3. 
4. 
5. 
6. 
Connect to company
Extract from sources
Transform into target model
Load into warehouse
Analyze
Report & visualize
5
©2015 IBM Corporation
Use Case 2
An Insurance Company: uses Cloudant Local to create a persistent
data store to manage customer policy information.
Having a need to have real-time visibility to customer data from different
Systems of Record, the Insurance Company values Cloudant’s ability to
manage data from different systems and navigate the data with embedded
search capabilities.
©2015 IBM Corporation
Use Case: An Insurance Company
Company Background:
Global insurance company with annual revenues of over $40B
and locations in the US, Europe, Latin America, China, and
more
Need:
Improve customer experience for roughly 40 million customers
by enabling the ability to efficiently search all data such as:
personal information, policies, claims, etc.
Cloudant Managed or
Local Deployment
Success Criteria:
•  To manage and search data from different Systems of
Records without having to design a web app with a
schema-first mentality.
•  A solution that can be managed on-premises for sensitive
customer information but still have the ability to move to the
Cloud in the future.
JSON
Solution & Results:
•  Implemented Cloudant Local on-premises and then will
move some applications to a public cloud deployment
Auto
Policy
JSON
Life
Policy
JSON
Home
Policy
•  Provided the ability to manage all the data in one location
while enabling the full-text search capabilities
-  Previously, the company struggled using SOLR with their
existing solutions.
©2015 IBM Corporation
MetaData + SQL Generation Engine +
Rule Engine
SQL
©2015 IBM Corporation
Sources
©2015 IBM Corporation
Implementation
Initial talks to major product shipment in record time
6
MONTHS
©2015 IBM Corporation
IBM Watson Analytics
©2015 IBM Corporation
Watson Analytics
Explore > Predict > Assemble
• Quick start intuitive interface • Guided discovery & visualization • Natural language dialogue •
• Key business driver insights • Dashboard and storytelling authoring •
• Easy data upload and search capabilities •
©2015 IBM Corporation