decision ready data: power your analytics with great data

Decision Ready Data: Power Your Analytics with Great Data

Murthy Mathiprakasam

2

3

Repeatably deliver trusted and timely data for great analytics and great social impact

Your Mission

Great Data Powers Great Analytics and Great Impact

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

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

Cloud

New Data Platforms

Big DataTraditional /Real Time

New Visualization Tools

New Platforms Enable New Analytical Capabilities

But Data Is Fragmented As Data Sources Proliferate

8

Data Warehouse

Transactional Applications

CRM ERP HR FIN

Big Data

UnstructuredSemi-Structured

Real-timeEvents

MainframeSystems

Cloud, Social, Partner Data

EnterpriseApplications

It’s Difficult to Trust All Of The Available Data

9

John Smith11710 Plaza DriveReston, VA ______(___)-___-____

IncompleteDATASETS THAT

ARE NOT ACCURATE

Jonathan Smith

John Smith

John H Smith

InconsistentDATASETS THAT

ARE NOT STANDARDIZED

InsecureDATASETS THAT

ARE NOT MASKED

jsmith@yahoo.com703-844-1212

TAYwRG@zcqee.Qew194-366-5858

vs

Data Has Not Kept Up With The Pace of Business

10

Up to 80%ANALYST TIME SPENT ON

DATA PREPARATION

Untimely DeliveryOF DATA INHIBITS

AGILE, REAL-TIME DECISIONS

Analytics Is Costly & Complex To Deliver Today

11

Can’t Re-Use EXISTING SKILLS

WHEN PLATFORMS CHANGE

Can’t Re-Use EXISTING PROCESSESTO DRIVE SCALABILITY

AND REPEATABILITY

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 onhigh quality and secure data

Can’t make timely decisions based on fresh and up-to-date data

Can’t operationalize data delivery tofuel decisions repeatably and scalably

What Is Needed: Faster, Better, Less Costly Analytics

Insights ThatAre Timely

Data ThatCan BeTrusted

Simple,Standardized,

ScalableDelivery

14

Repeatably deliver trusted and timely data for great analytics and great social impact

Your Mission

Imagine If You Could Put More Data To Use

15

Word, ExcelPDFStarOfficeEmail, LDAP

OracleDB2SQL ServerSybase

InformixTeradataNetezzaODBC/JDBC

Flat filesHTTP/HTMLRPGANSI

ASTFIXSWIFTMVR

SAP NetWeaverSAP NetWeaver BI SASSiebel

JD Edwards Lotus NotesOracle E-BusinessPeopleSoft

EDI–X12EDI-FactRosettaNetHL7/HIPAA

XMLLegalXMLIFXcXML

SalesforceRightNowNetSuiteOracle OnDemand

FacebookTwitterLinkedInDatasift

ebXMLHL7 v3.0ACORD

100+ PRE-BUILT PARSERS

200+ PRE-BUILT CONNECTORS

Out of the BoxBUSINESS RULES AND

DATA STANDARDIZATION

Sample of Compatible Data Types and Sources

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 SCALESTREAMING COLLECTION

CENTRALIZED MANAGEMENTOF DISTRIBUTED COLLECTION

REAL-TIME INGESTION OF REAL-TIME DATA FOR

REAL-TIME RESPONSE

SOURCE

Transactional Data

InteractionData

Sensor/DeviceData

Documents/Files

IndustryFormats

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

Imagine If You Could Easily Adopt Hadoop

REFINE WAREHOUSE

Profile, Parse, Cleanse, Match

Offload infrequently used data for

active archivingOffload ETL/ELT for efficient processing

Reuse existing skills and processes

Imagine If You Could Develop And Staff More Quickly

19

HadoopDevelopers

InformaticaDevelopers

100,000+TRAINED DEVELOPERS

WORLDWIDE

500% MORE PRODUCTIVE THAN HAND-CODING

0%RISK OF REWRITING

OUTDATED CODE

20

Imagine If You Could Understand Your Data

“Contact Bill.Harison@gmail.comfor more information about #AAPL and #GOOG”

Person: William HarrisonCompany: Apple, IncCompany: Google

EXTRACT ENTITIESWITH NATURAL

LANGUAGE PROCESSING

ENRICH DATASETSWITH ADDRESS VALIDATION

AND GEOCODING

MATCH AND STANDARDIZEFOR DATA QUALITY

AND DATA MASTERING

21

Imagine If You Could Protect Your Data

PHI: Protected Health InformationPII: Personally Identifiable InformationScalable to look for/discover ANY Domain type

ANALYZE STRUCTUREOF DATA WITH BUILT-IN

DATA PROFILING

ISOLATE BAD DATA QUICKLYWITH PROFILING STATISTICS

UNDERSTAND MEANINGAND CONTEXT OF DATA

IDENTITY SENSITIVE DATAWITH DATA DOMAIN REPORTS

Imagine If You Could Provide Virtual Access…

CANONICAL DATA MODELPRODUCT …CUSTOMER ORDER

SOURCE

VIRTUALIZE

ANALYZE ACCESS & MERGEDATASETS USING VIRTUAL TABLES

PREPARE IN REAL-TIMEWITH COMMON METADATA

REPOSITORY

Transactional Data

InteractionData

Sensor/DeviceData

Documents/Files

IndustryFormats

BusinessIntelligence

Agile Visualization

…Or Broker Physical Provisioning Automatically

SOURCE

Transactional Data

InteractionData

Sensor/DeviceData

Documents/Files

IndustryFormats

BROKER

ANALYZE

BusinessIntelligence

Agile Visualization

LOOSER COUPLINGBETWEEN SOURCE SYSTEMS AND DESTINATION SYSTEMS

FASTER PROVISIONINGOF DATA TO DISTRIBUTED

CONSUMERSIntegrationHub

Informatica Delivers Great Data For Any InitiativeAccess 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

#1) Define The Mission Of Your Journey

26

IdentifyTheData

SelectThe

Consumers

Establish TheGoal

#2) Deploy Leverage At Every Step

27

LeverageExisting

Centers OfExcellence

Leverage LightweightStandards &Processes

LeverageTechnology

for Scale andRepeatability

#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

GreatTransportation

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

GreatEnvironment

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

GreatEducation

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

GreatHealthcare

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

Repeatably deliver trusted and timely data for great analytics and great social impact

Your Mission

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

Thank You