Data really can turn the dial - in fact, recent research suggests that organizations get a payback of 13 dollars for every one dollar spent on analytics. But while the ROI of analytics is promising, the data landscape is growing more complex, with web, mobile and even IoT data entering the data warehouse. Organizations need to act fast to start delivering more value from their data. Fortunately, the cloud is enabling faster innovation, better IT economics and a lower risk of failure for analytic projects. In fact, with business intelligence solutions delivered as a service through the cloud, all you have to lose for unleashing your analytic creativity is this month's cloud bill. In this webinar, you'll learn how cloud based data warehousing and BI services are opening up new opportunities to analyze old and new data within your organization.

1. Unleashing Analytic Creativity
with BI on the Cloud

2. ©2015 IBM Corporation
Welcome!
Andrew Buckler: andrewdb@ca.ibm.com
Worldwide Technical Sales Leader, IBM Cloud Data Services
Kasun Attanapola: kasun.attanapola@ca.ibm.com
Offering Manager, IBM Cognos Business Intelligence

3. Part 1: Cloud Data Warehousing

4. ©2015 IBM Corporation
Cloud – beyond the hype stage
"Many organizations have progressed beyond early use cases
and experimentation and are utilizing the cloud for mission-
critical workloads. There are also many enterprises (not just
small startups any more) that are 'born in the cloud' and run
their business (clearly mission-critical) completely in the cloud."

5. ©2015 IBM Corporation
Cloud Drives Better Business Economics
Cost
Flexibility
1
Shifts fixed to variable cost
Pay as and when needed
Business
Scalability
2
Provides limitless, cost-
effective computing
capacity to support growth
Masked
Complexity
4
Expands product
sophistication
Simpler for customers
and users
Context-Driven
Variability
5
User defined experiences
Increases relevance
Ecosystem
Connectivity
6
New value nets
Potential new businesses
Market
Adaptability
Faster time to market
Supports
experimentation
3
 The number one reason to adopt cloud is NOT cost savings, it is agility. Cloud
enables businesses to compete faster. And speed kills – a chess grandmaster
would lose to a beginner that got four moves every turn.

6. ©2015 IBM Corporation
Cloud Has Three Main Delivery Models
1.IaaS (Infrastructure as a Service)
2.PaaS (Platform as a Service
3.SaaS (Software-aaS) with BPaaS (Business Process-aaS) as a special case
Infrastructure-as-a-Service
Platform-as-a-Service
Databases
Hadoop
Integration
Other Middleware
Software-as-a-Service
Servers
Storage
Networking
Applications
Commerce
Analytics
Business Process
-as-a-Service
Payments, Procurement
ApplicationsMiddlewareHardware
Do-It-Yourself /
Custom

7. ©2015 IBM Corporation
Control vs Simplicity in the Cloud
Software
• Fully customized
• Absolute control, but
highest investment and
slowest ROI
Appliance
• Expertly engineered
hardware & software
• Less control, but faster
payback
Hosted Service
• Expertly engineered
software configuration
• Cloud hardware
• Control only over
software, very fast
payback
Managed
Service
• Provider operates service
and controls everything
• Control only over data,
fully opex based
control simplicity
Customer Data Center Cloud Data Center

8. ©2015 IBM Corporation
Cloud
Beacons
MDM
Purchase Gateway
Mobile App
NoSQL as a
Service
Data Warehouse and
Analytics as a Service
Business Analysts
On-Prem
Systems of Record
Mobile Ecosystem

9. ©2015 IBM Corporation
Cloud Data Warehouse: Managed System of Insight
 Deploy in minutes with
rapid cloud provisioning
 No infrastructure
investment for cloud
agility
 Accelerate application
development for
analytics
 Built for Analytics to help
you understand your data
and business
 In-Database Analytics for
greater efficiency and
performance
 Compatible with Advanced
Tooling like R and Watson
Analytics
 Grow more without
growing the things that
cost more
 Built-in Performance
with in-memory
technology
 Load and go with
no tuning required
Build More Know MoreGrow More
Keep data warehouse infrastructure out of your way

10. ©2015 IBM Corporation
Cloud Data Warehousing: Key Use Cases
• Easy synchronization of JSON to structured data
• Allows analytics via standard BI tools
• In-database predictive algorithms allow greater insight for
users than ever before
NoSQL Analytics
• Extend on-premises data warehouse environments to the
cloud
• Flexible, cost-effective growth
• Hybrid Cloud models support ground to cloud
Extend /
Modernize
• Robust predictive analytic algorithms
• Integrated with R
• Watson Analytics Ready
• Analytics Ecosystem with Partners
In-Database
Analytics
• Data Warehousing and Analytics in the Cloud
• Cloud Agility and Flexibility
• Analytics for Cloud Data, Data Marts, and dev/test
environments
Data Warehouse
& Analytics
Service

11. ©2015 IBM Corporation
Case Study: Pharmaceuticals
What was the problem
/ need?
• After an acquisition, a large pharmaceutical distributor
needed a supplier spend dashboard to capture synergy.
• Enterprise wide visibility to procurement team to
facilitate negotiations.
• Needed to deliver the project in 10 weeks.
What insight
was needed?
• Provide enterprise-wide visibility to the global procurement team to
facilitate negotiations with suppliers and track alignment on terms.
• Deliver a dashboard that end-users can leverage in discussions with
their suppliers to normalize terms globally.
• Key focus areas: 1) Cost savings with vendors, 2) Compliance with
suppliers, 3) Identify growth trends.
Architecture
details
• Data sources: Supplier data from SAP, Netezza and
other systems across Europe and North America
• Data Integration & Loading: Information Server
• Business Intelligence: Tableau
• Time to value was absolutely critical.
• Leveraging cloud software, infrastructure and
services enabled a complete solution to be
delivered in record time. SPEED is key.
Factors for
success

12. ©2015 IBM Corporation
SAP
Stuttgart,
Germany
Infinium/M
BA
Montreal,
CanadaNetezza
Rancho
Cordova,
USA
New solution delivered in weeks…
SAP
Stuttgart,
Germany
Infinium/M
BA
Montreal,
Canada
Softlayer Dallas
Private Network
Information
Server
Tableau
Server
Softlayer Dallas - Public Cloud
1. Connect to data sources
2. Extract from sources
3. Transform into target model
4. Load into warehouse
5. Analyze
6. Report & visualize
1
1
1
2, 3
5
4
6
Global Sourcing Team - UK

13. ©2015 IBM Corporation
Case Study: Connected Vehicles
What was the problem
/ need?
• An automaker equipping 2015 and later models with an "interactive"
infotainment system that drivers can customize by subscribing to
various 3rd party apps which may include vendor offers.
• Had no accompanying data management or analytic solution to
understand campaign effectiveness.
What insight was
needed?
• Take unstructured data, automatically format it, and report
against it in the cloud, allowing marketing teams & merchants
to segment customers and measure campaign effectiveness.
Architecture
details
• Data sources: Customer & vehicle profile data from vehicles for Cloudant,
to move to dashDB. Other data sources to be configured for dashDB too.
• Other integrations: Cognos for Business Intelligence, Cloudant as JSON
NoSQL data store, DataStage on Cloud.
• A superior "Analytics Reporting Cloud”
with high interoperability and performance. Success factors

14. ©2015 IBM Corporation
Architecture Details
IBM Cloudant
- Softlayer Dallas
- 3 node production cluster
- 3 node dev cluster
IBM dashDB
- Softlayer Dallas
- 4 TB production system
- 4 TB dev system
Infotainment Data
- Bulk load of 6-8 million
accounts, 28 millions cars
(~1TB of data)
IBM Datastage
- Softlayer Dallas
- Data movement into
SFDC and into dashDB
Other Data Sources
JSON data to relational
Cloudant Schema Discovery Protocol

15. Part 2: Business Intelligence on Cloud

16. ©2015 IBM Corporation
Cloud is
CHANGING the way workgets done
Accelerated by Cloud
Innovate at the
speed the customer
expects by tapping
into cloud services
Create the next
great killer app by
rapidly assembling
cloud services
Quickly deliver a
consumable hybrid
cloud environment to
support expanding
business needs

17. ©2015 IBM Corporation
136% more likely
to use cloud to
reinvent customer
relationships
Strategic
reinvention
170% more likely to
use analytics
extensively via cloud
to derive insights
Better
decisions
79% more likely to
rely on cloud to
locate and leverage
expertise anywhere
in ecosystem
Deeper
collaboration
Source: IBM Global Cloud study, “Under Cloud Cover”
Leading Organizations use Cloud to Gain a Competitive Advantage
the revenue growth
Almost 2x
higher gross profit growth
Nearly 2.5x

18. ©2015 IBM Corporation
What’s BI on Cloud?
A fully managed business intelligence platform, delivered as-a-service on a
per user/per month subscription, that offers multiple options for price and
scale.
• Extend your on-premises business intelligence use to the cloud.
• Enhance self-service reporting and collaborate in a larger eco-system.
• Access data sources where they reside without a ‘lift-and-shift.’

19. ©2015 IBM Corporation
IT
Business Users
Empowered to Operate at Business Speed
• Seamlessly integrate cloud and existing business
solutions
• Collaborate across business and IT for better
outcomes
Be a King Maker, Own a Test & Dev Sandbox
• Start small or go big with Bluemix
• Reduce time to configure, tune, and scale mobile &
web apps
• Eliminate IT delays, improved production times
Application Developer CHOICE
CONTROL
CONFIDENCE
• Respond more quickly, scale on demand
• Improve compliance and certification
• Don’t make trade offs for cloud
Delivery More for Less, a Cloud-First Strategy
Business Intelligence on Cloud Helps all Users

20. ©2015 IBM Corporation
Business Leaders: Cloud with Choice
 Accelerate business innovation
through cloud’s faster time to value
and lower costs
 Connect core business processes
fueled by powerful analytics
 Engage and collaborate with
employees, customers and partners
Align Teams
Stop
Competitors
Choice
Integrate
Suppliers
Monetize
Data
Blueprint for success

21. ©2015 IBM Corporation
Sales
Marketing
Customer
Service
Finance
Operations
Product
Development
Human
Resources
Combine personal and
corporate data to create fresh
insights
Access key customer
information in the office and
on the road
Optmize staffing mix,
reduce employee turnover
Work on scenarios to
align development
resources
IT
Drive growth and profit through
resource alllocation
comply with confidence
Manage rolling
expenses
Have real time visibility
into stock levels
Provide discovery and planning
tools to reduce error-prone
spreadsheet work
Deliver at every level, in every department, in your organization

22. ©2015 IBM Corporation
IT Managers: Cloud with control
Control
Scale
Globally
Blueprint for success Balance CapEx/OpEx and
speed/risk
 Embracing best of BI with open
standards and avoid lock in
 Ensure robust enterprise-grade
capabilities in single-tenant or
bare metal environments
 Manage your identity, access,
governance, and administration
Multiple
Environments
Data
Security

23. ©2015 IBM Corporation
Delivering a complete cloud journey, not
just an application
Bare Metal Cloud
Environments
For high input and output (I/O)-
intensive apps, big data, scalability
Business
Intelligence
on Cloud
For reporting, collaboration, innovation
across depts, organizations, partners
40,000 Cloud
Experts
Trained to be global experts,
working in offices near you

24. ©2015 IBM Corporation
Developers: Cloud with confidence
Transparency
Confidence
Blueprint for success
 Prototype and deploy new apps —with
a rich portfolio of tools in the cloud
 Continuously deliver apps by
automating development and delivery
 Extend existing investments by easily
connecting securely to your on-premise
infrastructure or cloud data
Developer
Tools
Agile
Methods
Fault Tolerant

25. ©2015 IBM Corporation
BI on Cloud
•Off-Premise
•OpEx Budget
•Predictable TCO
•Low Effort
•Updates in Days/Weeks
•Standard Support
Perfect for new deployments
*Except items in deprecation
Business
Intelligence
on Cloud
Traditional BI
• On-Premise
• CapEx Budget
• Less Predictable TCO
• Variable Effort
• Updates in Months/Years
• Standard Support
Extend current BI deployments
VPN
Hadoop
Cloud Data
On-Premise
Streaming
DB2
SQL DashDB
Salesfoce.com
Azure

26. ©2015 IBM Corporation
50 100 150 200 300 500 1000 2000 3000 4000 5000 …
Number of Users
ServiceLevel
Standard
Enterprise
Reliable and Elastic Subscription
Adaptive to Needs:
 Data sandbox
 Supplier collaboration
 Consultant support
 Compliance mandate
 ReorganizationWorkgroup

27. ©2015 IBM Corporation
It’s Your Journey…
Choice Confidence
BI on Cloud…
• Improves compliance
and certifications: Safe
Harbor, SOC II, ..
• Future ‘resident’ BI with
13 data centers in five
continents
• Having the have right
tools available, for the
right user roles
BI on Cloud…
• Purpose built
environment for BI
• Managed as single
solution, bare-metal to
BI, by domain experts
• Increase trust and
security
• Plan for long-term
growth without facing
limits on users or support
Control
24of the top 25
Fortune 500 trust the
IBM Cloud
IBM holds 1,560
cloud patents
focused on driving
innovation
IBM plans to deliver
cloud services from 40
data centers
worldwide in 15
countries
BI on Cloud …
• Decide where to start,
how and when to grow
• Uptime guarantees that
fit apps and users
• Get a performance
boost with ‘fast lane’
options
• Locate data where it’s
best, on/off premise
• Select from a single –
tenant or bare-metal
environments

28. ©2015 IBM Corporation
“ The system will allow us to better target
substandard performance and forecast risk
dynamically in response to changing factors
and with much greater accuracy. ”
Warwick Norman, Chief Executive Officer
Case Study: Reducing Risk in Nautical Shipping
Boost Revenue
By adding value to the ship-vetting
services
Reduce risk
By improving the accuracy and speed
of ship ratings (50 factors)
Reduce costs
Speed time to market
By providing the scalability to envelop
new data sources

29. ©2015 IBM Corporation
Get Started Today
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@ibmdashdb
http://www.ibm.com/marketplace/cl
oud/business-intelligence/us/en-us
@ibmcognos