Cloud and Software as a Service (SaaS) can make a huge impact on a business. Unfortunately, most start the evaluation of SaaS from an IT perspective and traditional data center advantages (i.e. on-premises costs, staffing and savings). While savings are important, cloud is about agility and speed. For these reasons, line-of-business (LOB) leaders have been more interested in SaaS solutions. Learn how Cognos Business Intelligence on Cloud and IBM dashdb make it simple to get started with collaboration, reporting and analytics.

1. © 2015 IBM Corporation
IBM Cognos Business Intelligence using dashDB:
Ten lessons to survive and thrive in the cloud

2. © 2015 IBM Corporation2
Get decisions faster with data analysis in the cloud.
Your sales leader cannot
see today’s customer
activity.
Your business analysts
say queries take too long.
Your CIO cannot afford to
leverage the data.
Competitors are taking market
share with new offers.
The rise of the connected
customer is here.
Your agency is buying
ads that miss the mark.

3. © 2015 IBM Corporation3
In just 60 seconds, over $500K
is spent on retail online.1
Est. 230+ million
Tweets each day2 1
1. Retale.com
2. Twitter and IBM form global partnership (29Oct 2014)
1) Gather all the data you can. You might not know what you need
until it’s too late.

4. © 2015 IBM Corporation4
2) Internet of Things: Building strategy for sensors and
connected devices
100 million cars will be
connected to the
Internet by 2016.2
Internet of Things (IoT)
will grow to 26 billion
units in 2020.1
1. Gartner Dec 12, 2013
2. Juniper Research

5. © 2015 IBM Corporation5
3) Cloud is fueling the growth of data.
Internet of Things will multiply the
amount of digital universe data to
44 trillion GBs by 2020.1
In 2013, mobile devices began
to outnumber humans.2
1. Gartner Dec 12, 2013
2. The Digital Universe of Opportunities: Rich Data and Increasing the Value of the Internet of Things” by IDC

6. © 2015 IBM Corporation6
4) Cloud accelerates pay back of analytics.
Analytics pays back $13.01 for
every dollar spent.1
1
Analytics Pays Back $13.01 for Every Dollar Spent” Nucleus Research, September 2014
2
Analytics: The speed advantage” IBM Institute for Business Value, 2014
63 percent of organizations realize
a positive return on analytic
investments within a year.2

7. © 2015 IBM Corporation7
5) Keep cloud data closer to cloud storage.
Over 1 exabyte of data
is already in the cloud.1
By 2020, 40 percent of all data
will pass through the cloud.2
1
Nasuni, The State of Cloud Storage in 2013
2
IDC, 2014 Digital Universe Study

8. © 2015 IBM Corporation8
6) Cloud is more elastic than on-premises.
72 percent of respondents who
have already deployed cloud
across their enterprise believe
cloud plays a key role in IT agility.1
1
Business Agility and True Economics of Cloud Computing , VMWare White Paper 2011
2
Etro, Federico, “The Economic Impact of Cloud Computing on Business Creation, Employment and Output in Europe”, Review of Business and Economics 2009
…estimated that over a five-year
period …the cloud could boost
cumulative GDP growth by 0.2
percent and create about one
million new jobs.2

9. © 2015 IBM Corporation9
7) Don’t wait! Make decisions at your speed of thought.
136 percent are more likely
to use cloud to reinvent
customer relationships.1
170 percent are more likely
to use analytics extensively
via cloud to derive insights.2
1 IBM global study “Under Cloud Cover – How Leaders Are Accelerating Competitive Differentiation” May 2015
2 Ibid

10. © 2015 IBM Corporation10
8) Build an analytic ‘sandbox.’ Experiment on cloud at lower cost.
A fully managed business intelligence
platform, delivered as-a-service on a
per user/per month subscription, that
offers multiple options for price,
performance 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.’
@IBMCognos

11. © 2015 IBM Corporation11
IBM dashDB
A fully managed cloud data warehouse
service designed for performance and
scale, compatible with a wide range of
business intelligence toolsets and
advanced analytics tooling.
 Extend your on-premises data
warehouse to the cloud.
 Build new, self-service cloud
warehousing infrastructure.
 Ingest structured and
unstructured data and run
advanced analytics.
9) Store data for less. Scale up or down to meet big data demands.
@GetdashDB

12. © 2015 IBM Corporation12
10) Fewer cloud vendors/components means fewer risks.
IBM has 40,000 cloud
experts globally.
24 of the top 25 Fortune
500 companies trust the
IBM Cloud.
IBM holds 1,560 cloud patents
focused on driving innovation.
IBM processes more than
5.5 million client transactions
daily through the IBM public cloud.

13. © 2015 IBM Corporation13
Starting in the cloud is easy and affordable.
• Starting at $75 per user/per month*
• No charge for up to one GB of data storage**
• From single tenant to dedicated instance
• Encryption for data ‘at-rest’ or ‘in-motion’
• Fully supported and serviced by IBM
• Software updates on a regular basis
• Data centers around the world
*50 user min IBM Business Intelligence on Cloud
**$50 per month/ up to 20GB SAN storage. Actual dashDB capacity will depend on compression ratios achieved

14. © 2015 IBM Corporation14
Watch the tutorial. How to leverage IBM dashDB within IBM Cognos
Business Intelligence
https://youtu.be/EAr8sWEtx6A

15. © 2015 IBM Corporation15
See it live at Insight2015 - Las Vegas on October 25 to 29
Analytics on the Cloud:
IBM Cognos® Business Intelligence on dashDB™
(DBI-1984)
This session demonstrates the speed and simplicity of deployment, and how a
cloud-based analytic platform can help extend your existing infrastructure into the
cloud, or help you start a new data warehousing or business intelligence project.
@IBMCognos @GetdashDB

16. © 2015 IBM Corporation16
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© Copyright IBM Corporation 2015
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Produced in the United States of America
September 2015
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References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or
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