When SaaS and On-Premise BI Collide - 1105 Media: Home...
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Transcript of When SaaS and On-Premise BI Collide - 1105 Media: Home...
When SaaS and
On-Premise BI Collide:
The Pros and Cons of Moving BI to the Cloud
Wayne EckersonDirector, TDWI Research
November 19, 2009
Agenda
• Cloud-based computing
– Terminology
– Types
– Architectures
– Benefits
• BI in the Cloud
– Applications
– Platforms and Infrastructure
Generally speaking…..
• Cloud computing
• Software-as-a-service (SaaS)
• On Demand
Commercial hardware or software
services that you access over the internet
via a Web browser.
Virtualized services
Cloud computing hides the underlying hardware and
software used to deliver the service
Types of Cloud-based Services
Platform(IDE, OS/API, Runtime)
Infrastructure(Server, Database, Storage)
ApplicationsSoftware-as-a-service
“Salesforce.com”
Platform-as-a-service “DW-as-a-service”
Infrastructure-as-a-service “Amazon EC2”
Solu
tions
Sta
ck
BI in the Cloud
Platform(IDE, OS/API, Runtime)
Infrastructure(Server, Database, Storage)
ApplicationsSoftware-as-a-service
“PivotLink for Retail”
Platform-as-a-service “PivotLink for Analytics”
Solu
tions
Sta
ck
Infrastructure-as-a-service
- “DW as a service”
- Custom
On Demand• Pay and go
– No on-premise SW to install
– Just pay and go
• Pay as you go – Subscription (per user)
– Usage fees
• Free trial
SERVICE PAYMENT
Application service Monthly subscription (per user)
Platform service Subscription and/or usage fee
Infrastructure service Usage fee
Types of Clouds
• Public cloud
– Commercialized cloud services
– Provision servers or applications on demand
• E.g. Amazon EC2
• Private cloud
– Use of cloud in an internal data center
– Virtualization and grid computing
Hosting Architecture
Application
Users
Server
Application
Users
Server
Application
Users
Server
Application
Users
Application
Users
Server
On Premise
Virtualization Layer
Application
Users Users
Server
Virtualization Layer
Single Tenant
(ASP Model) Single Tenant Multi-Tenant
LA
N
VP
N
VP
N
SS
L
SS
L
SS
L
SS
L
Cloud vs On PremiseCLOUD ON PREMISE
Doesn’t require IT to set up and
maintain servers
Requires IT resources to set up and
maintain servers
Doesn’t require capital expenditure Requires capital expenditure
Can deploy quickly Requires IT to purchase servers, install,
and configure sofware
Software upgrades are automatic and
unobtrusive
Software upgrades must be manually
applied and often disrupt existing
applications
Can expand number of users and
processing capacity on demand
Must expand server capacity if adding
lots of users and rewrite license
agreement.
Can terminate service at any time Must continue to pay annual
maintenance fee as agreed upon in
contract.
Things to Consider
• Data loading
• Data security
• SLAs
• Integration
• Pricing
• ROI
• Vendor viability
Cloud Use Cases
• SMB and Departments
– Data mart solutions/applications
• Large enterprises
– Development environments
– Test environments
– Prototype or demonstration
– Analytical sandboxes
– Temporary application
How familiar are you with cloud
computing?
9%
42%
49%
Very familiar
Somewhat familiar
Not very familiar
Based on 183 BI professionals attending TDWI’s World Conference, November, 2009.
How much of your BI solution runs
in the public cloud?
Based on 183 BI professionals attending TDWI’s World Conference, November, 2009.
0%
2%
0%
13%
85%
3%
4%
46%
47%
All
Most
Half
Some
None
Today
In 3 Years
What portion of your BI solution runs
in the cloud?
Based on 183 BI professionals attending TDWI’s World Conference, November, 2009.
3%
4%
5%
2%
3%
4%
8%
14%
12%
7%
4%
7%
Hardware
Reports
BI tools
Data marts
ETL
Source data
In 3 Years
Today
Size of companies deploying BI in
the cloud TODAY
Based on 183 BI professionals attending TDWI’s World Conference, November, 2009.
8%
4%
17%
15%
25%
11%
9%
13%
Under $50M
$50M to $100M
$100M to $500M
$500M to $1B
$1B to $10B
$10B to $50B
$50B+
All of our BI solution
Most of our BI solution
Half of our BI solution
Some of our BI solution
Siz
e o
f com
pa
ny (
revenues)
Based on 183 BI professionals attending TDWI’s World Conference, November, 2009.
9%
9%
14%
6%
29%
67%
60%
31%
50%
58%
71%
Under $50M
$50M to $100M
$100M to $500M
$500M to $1B
$1B to $10B
$10B to $50B
$50B+
All of our BI solution
Most of our BI solution
Half of our BI solution
Some of our BI solution
Size of companies deploying BI in
the cloud IN THREE YEARS
Siz
e o
f com
pany (
revenues)
Size of BI teams deploying BI
solutions in the cloud TODAY
5%
4%
17%
14%
6%
9%
14%
21%
Less than
1
1 to 2
3 to 5
6 to 10
11 to 25
26+
Fu
ll-t
ime B
I sta
ff
All of our BI solution
Most of our BI solution
Half of our BI solution
Some of our BI solution
Based on 183 BI professionals attending TDWI’s World Conference, November, 2009.
7%
5%
4%
15%
4%
57%
43%
64%
35%
41%
46%
Less than 1
1 to 2
3 to 5
6 to 10
11 to 25
26+
Fu
ll-t
ime B
I sta
ff
Size of BI teams deploying BI
solutions in the cloud IN 3 YEARS
Based on 183 BI professionals attending TDWI’s World Conference, November, 2009.
BI SaaS – Reasons to Adopt
0% 10% 20% 30% 40% 50%
Low cost approach
Faster development time
Business not technology focused
Easy maintenance
On-demand capacity
Lack of IT budget/resources
Reduce dependence on IT
Minimize risk
Lack of BI/DW skills
Project was not an IT priority
Other
Claudia Imhoff and Colin White, “BI SaaS”, BeyeNetwork Research, 2009. 294 respondents.
SaaS BI makes sense when…
• You don’t have IT resources
• You don’t have capital to spend
• You need a solution quickly
• You can’t estimate capacity or usage
• The application fits your needs closely
• Data volumes are manageable
`
CONFIDENTIAL– Copyright, PivotLink, Inc. 2009, all rights reserved.
`
Shaklee Case Study –Aligning a Global Business with On-demand Business Analytics
November 2009
Ken Harris, [email protected]
`
CONFIDENTIAL– Copyright, PivotLink, Inc. 2009, all rights reserved.
Background
Ken Harris
• CIO
• 25 years of CIO
experience: Shaklee,
Gap, Nike, PepsiCo
• Multiple BI/DW
implementations
• One goal: Enable
Shaklee to make data-
driven decisions
Shaklee
• #1 natural nutrition
company in the US
• Mission: To enable a
healthier life for
everyone and a better
life for anyone
• 750,000+ Members and
Distributors
• Mid-sized 50 year-old
company
`
CONFIDENTIAL– Copyright, PivotLink, Inc. 2009, all rights reserved.
Business Challenge
• Massive amounts of data to manage
• Significant number of internal and external users
desiring access
• Difficult to access data in a meaningful way
• Costly data warehouse
• Limited IT resources to maintain DW
• Enable business users to collaborate globally
• Real-time analysis
`
CONFIDENTIAL– Copyright, PivotLink, Inc. 2009, all rights reserved.
Business Visibility Challenge
Financ
eDistributorsProduct Marketing Customers
Marketing Campaign
Efficiency
What is selling
and to whom?
Forecast vs.
Actual
Average Sale Per
Customer
`
CONFIDENTIAL– Copyright, PivotLink, Inc. 2009, all rights reserved.
Solution Development
• Evaluated multiple potential solutions both
in-house and SaaS-based.
• Chose PivotLink because:
• Quick time to value
• Simplicity of integration
• Implementation and ongoing processing and
support cost
• They passed our “prove-it” 3 impossible
queries, 1 quarter of data 30 days
• Highly Secure – SAS 70 Type II Certified
`
CONFIDENTIAL– Copyright, PivotLink, Inc. 2009, all rights reserved.
Benefits and Outcomes
“ We rely on PivotLink to make sure our data is available
24x7, and not every vendor understands what that takes. In
the 3+ years of working with the solution, PivotLink has
consistently delivered on the service and support model. “
----------------------------------------------------------
• Rapid implementation – delivered in 120 days
• Easy low-cost maintenance
• Real-time, global data access without silos
• Accurate and timely insight into customer and
product performance
• PivotLink has been adopted by multiple users in
multiple functional areas for multiple applications
Contact Information
• If you have further questions or comments:
Wayne Eckerson, TDWI
Ken Harris, Shaklee