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The 5 Use Cases You Need to Know AboutInformatica 9.5
Big Transaction Data Big Interaction Data
Online TransactionProcessing (OLTP)
OracleDB2Britton-LeeIngresInformixSysbaseSQL Server…
Cloud
Salesforce.comConcurGoogle App EngineAmazon…
Other Interaction Data
Clickstreamimage/TextScientificGenomoic/pharmaMedical
Medical/DeviceSensors/metersRFID tagsCDR/mobile…
Social Media Data
Youtube…
Big Data Processing
Big Data Analytics onHadoop
Online Analytical Processing (OLAP) &DW Appliances
TeradataRedbrickEssBaseSybase IQNetezza
GreenplumDataAllegroAsterdataVerticaParacell…
Data Privacy
Agile BI
App PerformanceProactive Customer
Engagement
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I Need a Single View of All Enterprise Data
NOW
Applications Partner Data
SWIFT NACHA HIPAA …
UnstructuredDatabases SocialWarehouses NoSQLCloud Computing
SOAESB/EAI
ETLEIIHand Coding
BusinessIntelligence
BusinessIntelligence
BusinessIntelligence
BusinessIntelligence
BusinessIntelligence
BusinessIntelligence
BusinessIntelligence
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Today, it Takes too Long to Deliver New Critical Data or Reports to the Business…
On average, how long does it take to add a new source of data to your data warehouse?
On average, how long does it take to create a complex report or dashboard with about 20 dimensions, 12 measures, and 6 user access roles?
2011TDWI BI BENCHMARK REPORTOrganizational and Performance Metricsfor Business Intelligence Teams
1 week
2 weeks
3 weeks
1 month
2 months
3 months
4-6 months
6 months or more
11%
7%
7%
22%
20%
14%
12%
7%
On average, how long does it take to change a hierarchy (e.g. a new way of classifying products or organizing sales regions)?
1 week
2 weeks
3 weeks
1 month
2 months
3 months
4-6 months
6 months or more
25%
13%
8%
25%
10%
6%
8%
4%
1 week
2 weeks
3 weeks
1 month
2 months
3 months
4-6 months
6 months or more
15%
9%
13%
16%
16%
16%
9%
5%
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Why Does it Take So Long?
It takes too long to explain requirements
It takes months to change aDW/add new critical data
It takes many iterations to get the right data/reports
Changes break integrations & impact applications
Directly accessing operational systems is not possible / ideal
Typical Data Integration Process
IT Hasa Huge Backlog
a
b
c
d
1
2
3
4
5
6
Design
Change
Integrate
Unit Test
Validate
Deploy
Business is Involved Too Late
As-Is Value Stream Map (LOT OF WAIT & WASTE) e
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You Can’t Solve this in the BI Layer…
Unstructured Data Spread Marts EDW Applications Mainframe
Data Federation Here = No ReuseData Federation Here = No Reuse
No Easy Way to Handle Change No Easy Way to Handle Change
No Data Quality & No Data ConsistencyNo Data Quality & No Data Consistency
No Common Data Access LayerNo Common Data Access Layer
Need a Common Data Access LayerNeed a Common Data Access Layer
DATAMART
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• Identify new business opportunities
• Easily up-sell/cross-sell to customers
• Take business decisions on “current” data
Agile Businesses Can’tWait 3-6 Months to…
• Comply with changing regulations
• Identify and correct problems
• Respond to competitive threats
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Solution Architecture
DATADISCOVERY
DATAVIRTUALIZATION
Rules LogicalData Object
LogicalData Object
Rules
DATAREPLICATION
X MAP
PROD
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Data ReplicationNon-Invasive Access to Operational Data
Transactional
Applications
OperationalData Store
JMS
10
The Agile Enterprise Depends on XML Data Integration
Web Services
Mobile Data
Web Log Data
Partners
GS1
GDSN XML
Reporting
R H H R
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Data VirtualizationFast and Direct Access to New Critical Data and Reports
PROFILE AND CLEASE DATA SO IT CAN BE READILY TRUSTED
DELIVER REUSABLE DATA SERVICES TO CONSUMERS
CREATE A COMMON ACCESS LAYER ACROSS DATA SOURCES
Enterprise Data Sources
Data Virtualization(Built-On LeanPrinciples)
…PRODUCTCUSTOMER ORDER
Logical View of All Underlying Data
QUICKLY & DIRECTLY ACCESS DATA WITHOUT MOVEMENT
00110101001001010101101010010110
PortalBI Composite AppsDataConsumers
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HealthNow Accelerates Value through Virtualization
• Rapidly prototype• Analyze & profile anytime• Transform & cleanse in real time• Provision to BI
The Solution The Result
DW
Virtual View
ChangeRequest
Deploy toProduction
Business IT
5x Faster1/3rd Cost
The Challenge. Business users had to wait 1700 hours for IT to make one small change in a report, so they created their own custom workarounds – 30,000 MS Access data marts
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Summary, Takeaways
Business IT
Identify a Small, Critical BI Project in the Company
Involve the Business Early & Often in the Process
Bake-In Data Quality
Demonstrate Business Value Early
Self-Service + Data Virtualization = ROI
New data & reports take too long…
“YOU” can now do it in
DAYS!
Have the Critical Conversation
1
2
3
4
5
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The Solution The Result
Agil BI. Quickly deliver information to business users who wish to make trusted decisions in days instead of weeks or months.
• Quickly Access New Data Sources: Data virtualization accelerates access to data sources while minimizing development time.
• Trustworthy Data. Accelerates understanding of how good or bad data is without knowing its structure & identifies sensitive data to keep it private.
• Simplifies Handling of Complex Data. XMap reduces time and cost required to process hierarchical data
• Protects Production Systems. Data replication offloads data for analysis with minimal impact on production systems.
Deliver new intelligence to business in days instead of weeks or months
Lower development costs to support BI/reporting
VALUE
COST
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Next Steps
Join the community athttp://bit.ly/DataVisualizationCorner
&
Schedulea meeting with your Informatica representative now!