Decision Ready Data: Power Your Analytics with Great Data
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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analytics and social impact, highlighting the challenges faced by organizations due to fragmented, inconsistent, and outdated datasets.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.
Decision Ready Data: Power Your Analytics with Great Data
- 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 [email protected] 703-844-1212 [email protected] 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 [email protected] 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
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- 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