Decision Ready Data: Power Your Analytics with Great Data Murthy Mathiprakasam 2
Your Mission Repeatably deliver trusted and timely data for great analytics and great social impact 3
Great Data Powers Great Analytics and Great Impact
CIOs See Competitive Advantage in Analytics Analytics is the top priority for CIOs again in 2015 CIO Investment Priority Gartner BUT More than half of analytics projects fail Gartner
New Data Sources Enable New Insights SENSORS METERS LOGS BADGES WEARABLES MOBILE In the era of Big Interaction Data, unprecedented insights are available from analyzing new data sources 6
New Platforms Enable New Analytical Capabilities New Visualization Tools Traditional / Real Time Cloud Big Data New Data Platforms
But Data Is Fragmented As Data Sources Proliferate CRM ERP HR FIN Data Warehouse Big Data Unstructured Semi-Structured Enterprise Applications Transactional Applications Mainframe Systems Real-time Events Cloud, Social, Partner Data 8
It s Difficult to Trust All Of The Available Data John Smith 11710 Plaza Drive Reston, VA ( )- - Jonathan Smith John Smith John H Smith jsmith@yahoo.com 703-844-1212 vs TAYwRG@zcqee.Qew 194-366-5858 Incomplete DATASETS THAT ARE NOT ACCURATE Inconsistent DATASETS THAT ARE NOT STANDARDIZED Insecure DATASETS THAT ARE NOT MASKED 9
Data Has Not Kept Up With The Pace of Business Up to 80% ANALYST TIME SPENT ON DATA PREPARATION Untimely Delivery OF DATA INHIBITS AGILE, REAL-TIME DECISIONS 10
Analytics Is Costly & Complex To Deliver Today Can t Re-Use EXISTING SKILLS WHEN PLATFORMS CHANGE Can t Re-Use EXISTING PROCESSES TO DRIVE SCALABILITY AND REPEATABILITY 11
As A Result, Decisions Suffer and People Suffer Impact 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 12
What Is Needed: Faster, Better, Less Costly Analytics Data That Can Be Trusted Insights That Are Timely Simple, Standardized, Scalable Delivery
Your Mission Repeatably deliver trusted and timely data for great analytics and great social impact 14
Imagine If You Could Put More Data To Use Sample of Compatible Data Types and Sources Salesforce RightNow NetSuite Oracle OnDemand JD Edwards Lotus Notes Oracle E-Business PeopleSoft Facebook Twitter LinkedIn Datasift SAP NetWeaver SAP NetWeaver BI SAS Siebel 100+ PRE-BUILT PARSERS Oracle DB2 SQL Server Sybase Word, Excel PDF StarOffice Email, LDAP Informix Teradata Netezza ODBC/JDBC Flat files HTTP/HTML RPG ANSI 200+ PRE-BUILT CONNECTORS XML LegalXML IFX cxml AST FIX SWIFT MVR ebxml HL7 v3.0 ACORD EDI X12 EDI-Fact RosettaNet HL7/HIPAA Out of the Box BUSINESS RULES AND DATA STANDARDIZATION 15
Imagine If You Could Stream Data At High Speeds INGEST ACT Complex Event Processing LAN/WAN SCALE STREAMING COLLECTION Stream REFINE STORE Profile, Parse, Cleanse, Match NoSQL Databases 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
Imagine If You Could Easily Adopt New Platforms 400% FASTER MIGRATION TO NEW PLATFORMS 0% REWRITING OF DATA PREPARATION JOBS 500% FASTER PERFORMANCE ON DATA PREPARATION 17
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 18
Imagine If You Could Develop And Staff More Quickly Hadoop Developers Informatica Developers 100,000+ TRAINED DEVELOPERS WORLDWIDE 0% RISK OF REWRITING OUTDATED CODE 500% MORE PRODUCTIVE THAN HAND-CODING 19
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 20
Imagine If You Could Protect Your Data 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 PHI: Protected Health Information PII: Personally Identifiable Information Scalable to look for/discover ANY Domain type 21
Imagine If You Could Provide Virtual Access ANALYZE Agile Visualization Business Intelligence ACCESS & MERGE DATASETS USING VIRTUAL TABLES VIRTUALIZE CUSTOMER ORDER PRODUCT CANONICAL DATA MODEL PREPARE IN REAL-TIME WITH COMMON METADATA REPOSITORY SOURCE Transactional Data Interaction Data Sensor/Device Data Documents/ Files Industry Formats
Or Broker Physical Provisioning Automatically ANALYZE Agile Visualization Business Intelligence LOOSER COUPLING BETWEEN SOURCE SYSTEMS AND DESTINATION SYSTEMS BROKER Integration Hub FASTER PROVISIONING OF DATA TO DISTRIBUTED CONSUMERS SOURCE Transactional Data Interaction Data Sensor/Device Data Documents/ Files Industry Formats
Informatica Delivers Great Data For Any Initiative Access Any Data / Any Volume Faster Data Onboarding Offload Data and Processing Batch Deliver More Trusted Data Offload to High Performance Storage Integrate Load Transform Cleanse Master Realtime Prepare Analyze Profile Cleanse X Data Warehouse Storage
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#1) Define The Mission Of Your Journey Identify The Data Select The Consumers Establish The Goal 26
#2) Deploy Leverage At Every Step Leverage Existing Centers Of Excellence Leverage Lightweight Standards & Processes Leverage Technology for Scale and Repeatability 27
#3) Deliver With Partners For Maximum Success Proven Methodology Market Leading Platform Strong Partner Ecosystem Data Integration Data Quality FREE 2 Hour Workshop DW Optimization Assessment Readiness Assessment Cloud Data Integration Data Archiving 28
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 29
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 30
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 31
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 32
Your Mission Repeatably deliver trusted and timely data for great analytics and great social impact 33
Informatica Delivers Great Data for Great Social Impact Across nearly any data, any data platform, any data visualization Data Visualization Data Sources Traditional / Modern Cloud Big Data Data Platforms
Thank You