The document discusses the critical role of trusted, timely data in driving effective analytics and social impact, highlighting the challenges faced by organizations due to fragmented, inconsistent, and outdated datasets. It emphasizes the need for scalable solutions and streamlined processes to enhance decision-making capabilities, accelerate data preparation, and ensure data quality. Furthermore, it showcases various case studies where organizations have successfully implemented data integration solutions to improve their operations and outcomes.

2. Decision Ready Data:
Power Your Analytics with
Great Data
Murthy Mathiprakasam
2

3. 3
Repeatably deliver
trusted and timely data
for great analytics and
great social impact
Your Mission

4. Great Data Powers Great Analytics and Great Impact

5. CIOs See Competitive Advantage in Analytics
BUT More than half
of analytics projects
fail
Gartner
Analytics is the top
priority for CIOs
again in 2015
Gartner
CIO Investment Priority

6. New Data Sources Enable New Insights
6
In the era of Big Interaction Data, unprecedented
insights are available from analyzing new data sources
SENSORS METERS LOGS
BADGES WEARABLES MOBILE

7. Cloud
New Data Platforms
Big DataTraditional /
Real Time
New Visualization Tools
New Platforms Enable New Analytical Capabilities

8. But Data Is Fragmented As Data Sources Proliferate
8
Data
Warehouse
Transactional
Applications
CRM ERP HR FIN
Big
Data
Unstructured
Semi-Structured
Real-time
Events
Mainframe
Systems
Cloud, Social,
Partner Data
Enterprise
Applications

9. It’s Difficult to Trust All Of The Available Data
9
John Smith
11710 Plaza Drive
Reston, VA ______
(___)-___-____
Incomplete
DATASETS THAT
ARE NOT ACCURATE
Jonathan Smith
John Smith
John H Smith
Inconsistent
DATASETS THAT
ARE NOT STANDARDIZED
Insecure
DATASETS THAT
ARE NOT MASKED
jsmith@yahoo.com
703-844-1212
TAYwRG@zcqee.Qew
194-366-5858
vs

10. Data Has Not Kept Up With The Pace of Business
10
Up to 80%
ANALYST TIME SPENT ON
DATA PREPARATION
Untimely Delivery
OF DATA INHIBITS
AGILE, REAL-TIME DECISIONS

11. Analytics Is Costly & Complex To Deliver Today
11
Can’t Re-Use
EXISTING SKILLS
WHEN PLATFORMS
CHANGE
Can’t Re-Use
EXISTING PROCESSES
TO DRIVE SCALABILITY
AND REPEATABILITY

12. As A Result, Decisions Suffer and People Suffer Impact
12
Can’t make comprehensive decisions
based on all of the available data
Can’t make accurate decisions based on
high quality and secure data
Can’t make timely decisions based on
fresh and up-to-date data
Can’t operationalize data delivery to
fuel decisions repeatably and scalably

13. What Is Needed: Faster, Better, Less Costly Analytics
Insights That
Are Timely
Data That
Can Be
Trusted
Simple,
Standardized,
Scalable
Delivery

14. 14
Repeatably deliver
trusted and timely data
for great analytics and
great social impact
Your Mission

15. Imagine If You Could Put More Data To Use
15
Word, Excel
PDF
StarOffice
Email, LDAP
Oracle
DB2
SQL Server
Sybase
Informix
Teradata
Netezza
ODBC/JDBC
Flat files
HTTP/HTML
RPG
ANSI
AST
FIX
SWIFT
MVR
SAP NetWeaver
SAP NetWeaver BI
SAS
Siebel
JD Edwards
Lotus Notes
Oracle E-Business
PeopleSoft
EDI–X12
EDI-Fact
RosettaNet
HL7/HIPAA
XML
LegalXML
IFX
cXML
Salesforce
RightNow
NetSuite
Oracle OnDemand
Facebook
Twitter
LinkedIn
Datasift
ebXML
HL7 v3.0
ACORD
100+
PRE-BUILT PARSERS
200+
PRE-BUILT CONNECTORS
Out of the Box
BUSINESS RULES AND
DATA STANDARDIZATION
Sample of Compatible Data Types and Sources

16. Imagine If You Could Stream Data At High Speeds
REFINE
INGEST
Profile, Parse, Cleanse, Match
Stream
STORE
ACT
Complex Event Processing
NoSQL Databases
LAN/WAN SCALE
STREAMING COLLECTION
CENTRALIZED MANAGEMENT
OF DISTRIBUTED COLLECTION
REAL-TIME INGESTION OF
REAL-TIME DATA FOR
REAL-TIME RESPONSE
SOURCE
Transactional
Data
Interaction
Data
Sensor/Device
Data
Documents/
Files
Industry
Formats

17. Imagine If You Could Easily Adopt New Platforms
17
400%
FASTER MIGRATION TO
NEW PLATFORMS
500%
FASTER PERFORMANCE ON
DATA PREPARATION
0%
REWRITING OF DATA
PREPARATION JOBS

18. 18
Imagine If You Could Easily Adopt Hadoop
REFINE WAREHOUSE
Profile, Parse, Cleanse, Match
Offload infrequently
used data for
active archiving
Offload ETL/ELT for
efficient processing
Reuse existing skills
and processes

19. Imagine If You Could Develop And Staff More Quickly
19
Hadoop
Developers
Informatica
Developers
100,000+
TRAINED DEVELOPERS
WORLDWIDE
500%
MORE PRODUCTIVE
THAN HAND-CODING
0%
RISK OF REWRITING
OUTDATED CODE

20. 20
Imagine If You Could Understand Your Data
“Contact
Bill.Harison@gmail.com
for more information
about #AAPL and
#GOOG”
Person: William Harrison
Company: Apple, Inc
Company: Google
EXTRACT ENTITIES
WITH NATURAL
LANGUAGE PROCESSING
ENRICH DATASETS
WITH ADDRESS VALIDATION
AND GEOCODING
MATCH AND STANDARDIZE
FOR DATA QUALITY
AND DATA MASTERING

21. 21
Imagine If You Could Protect Your Data
PHI: Protected Health Information
PII: Personally Identifiable Information
Scalable to look for/discover ANY Domain type
ANALYZE STRUCTURE
OF DATA WITH BUILT-IN
DATA PROFILING
ISOLATE BAD DATA QUICKLY
WITH PROFILING STATISTICS
UNDERSTAND MEANING
AND CONTEXT OF DATA
IDENTITY SENSITIVE DATA
WITH DATA DOMAIN REPORTS

22. Imagine If You Could Provide Virtual Access…
CANONICAL DATA MODEL
PRODUCT …CUSTOMER ORDER
SOURCE
VIRTUALIZE
ANALYZE ACCESS & MERGE
DATASETS USING
VIRTUAL TABLES
PREPARE IN REAL-TIME
WITH COMMON METADATA
REPOSITORY
Transactional
Data
Interaction
Data
Sensor/Device
Data
Documents/
Files
Industry
Formats
Business
Intelligence
Agile
Visualization

23. …Or Broker Physical Provisioning Automatically
SOURCE
Transactional
Data
Interaction
Data
Sensor/Device
Data
Documents/
Files
Industry
Formats
BROKER
ANALYZE
Business
Intelligence
Agile
Visualization
LOOSER COUPLING
BETWEEN SOURCE SYSTEMS
AND DESTINATION SYSTEMS
FASTER PROVISIONING
OF DATA TO DISTRIBUTED
CONSUMERSIntegration
Hub

24. Informatica Delivers Great Data For Any Initiative
Access Any
Data / Any
Volume
Faster Data
Onboarding
• Integrate
• Load
• Transform
• Cleanse
• Master
Offload Data
and
Processing
Batch
Deliver More
Trusted Data
Data
Warehouse
• Prepare
• Analyze
• Profile
• Cleanse
Offload to High
Performance
Storage
Realtime
Storage
X

25. 25

26. #1) Define The Mission Of Your Journey
26
Identify
The
Data
Select
The
Consumers
Establish
The
Goal

27. #2) Deploy Leverage At Every Step
27
Leverage
Existing
Centers Of
Excellence
Leverage
Lightweight
Standards &
Processes
Leverage
Technology
for Scale and
Repeatability

28. #3) Deliver With Partners For Maximum Success
28
…
Strong Partner Ecosystem
• FREE 2 Hour Workshop
• DW Optimization
Assessment
• Readiness Assessment
Proven Methodology
Data Integration Data Quality
Cloud Data Integration Data Archiving
Market Leading Platform

29. 29
Great
Transportation
 Aspiration: Florida
Turnpike sought to
improve emergency
preparedness and improve
the prepaid toll program
 Challenge: Data
collection took over one
month leading to faulty
analytics
 Outcome: “Timely and
accurate traffic, revenue,
and participation reports
help management make
good choices that will
eventually result in saving
money.”
 — Bob Hartmann, IT
Director, Florida Turnpike
Enterprise

30. 30
Great
Environment
 Aspiration: US Geological
Service sought to improve
the quality of water in the
United States
 Challenge: Collect
distributed data and build
a centralized water quality
dataset
 Outcome: “We chose
Informatica as our data
integration solution
because of its maturity,
wide range of features,
ease of use and industrial
strength, integrated
architecture.”
 — Harry House, Data
Warehouse Practice
Leader, USGS

31. 31
Great
Education
 Aspiration: Rochester
Institute of Technology
sought to understand how it
could improve student
enrollment, student housing,
and student retention
 Challenge: Data was in
disparate systems
 Outcome: “We're becoming
myth busters. Informatica
provides timely, accurate
information we need to spot
trends, improve the quality of
our academic learning, and
reduce attrition.”
 — Kim Sowers, Director of
Application Development,
Rochester Institute of
Technology

32. 32
Great
Healthcare
 Aspiration: Utah Dept of
Health sought to process
healthcare claims faster
and improve public health
 Challenge: Manual effort
to track and link claims
data over time
 Outcome: “We see the
Informatica as absolutely
essential to everything that
we want to do, not only to
meet our mandate for the
All Payer Database,”
 — Dr. Keely Cofrin Allen,
Director, Office of Health
Care Statistics, State of
Utah Department of Health

33. 33
Repeatably deliver
trusted and timely data
for great analytics and
great social impact
Your Mission

34. Across nearly any data, any data platform, any data visualization
Informatica Delivers Great Data for Great Social Impact
Cloud Big DataTraditional /
Modern
Data Sources
Data Visualization
Data Platforms

35. ThankYou