INFORMATICA WORLD TOUR August 2012

Transcription

1 INFORMATICA WORLD TOUR August

2 Maximise Your Return on Big Data Girish Pancha Chief Product Officer Informatica 2

3 IT leaders must think about big data and all the dimensions it implies in order to take advantage of the economics of data. 3

4 XML EDI CLOUD APPLICATIONS DATABASES FILES PARTNER 4

5 Relevant Information Trustworthy Information Timely Information Authoritative Information Actionable Information Accessible Information Holistic Information Secure Information CLOUD DATA QUALITY ULTRA MESSAGING MASTER DATA MANAGEMENT COMPLEX EVENT PROCESSING BUSINESS TO BUSINESS (B2B) ENTERPRISE DATA INTEGRATION ILM Relevant customer service request data to reduce field response Trustworthy data to increase new member acquisition by 160% Timely data to lower messaging latency by 83%, and execute 5x more transactions Authoritative customer data to increase revenue productivity of 15,000 financial advisors Actionable data for early identification of corporate credit card abuse Accessible data exchange to increase customer base by 400% by processing 10 million transactions per week Holistic view of customer and claims information to reduce development costs by 67% Secured data across 10K databases to address data privacy and regulatory requirements 5

6 Business Costs Labor Costs Software Costs Hardware Costs IT Costs Labor Costs Labor Costs Labor Costs CLOUD DATA QUALITY ULTRA MESSAGING MASTER DATA MANAGEMENT ILM BUSINESS TO BUSINESS (B2B) ENTERPRISE DATA INTEGRATION ILM Lowered business costs by reducing by 95% time for line of business to implement 360-degree view of customer Lowered labor costs by $1.4m from deploying Data Quality Lowered software costs by $11M annually by implementing Multidomain MDM for Counterparty management Lowered hardware costs by 50% ($1M saved annually). System throughput increased by 580% Lowering IT costs by 100M through archiving & retiring 400 applications over 3 years Lowered labor costs of data handling by 75% through single universal transformation engine Lowered labor costs for automating real-time proactive alerts to improve maritime security Reduced development costs 3x regulatory requirements 6

7 7

8 Technology Megatrends Cloud Computing Next Wave of Data Fragmentation Social Computing Next Generation of Data-Centric Apps Mobile Computing Next Surge of Data Access Devices 8

9 CLOUD INTERACTIONS MOBILE ON-PREMISE TRANSACTIONS DESKTOP 9

10 10

11 Changing Economics CRM Application Custom Application Custom Application Custom Application Custom Application HR Application Custom Application 11

12 ON PREMISE IN THE CLOUD 12

13 13

14 Changing Role Business Management Business Analysis Operational Automation Brand Management Sentiment Analysis Proactive Customer Engagement Relational Transactions Current Social Interactions Current 14

15 15

16 16

17 Changing Face Personal Productivity Microsoft Office Used < 6 Hours Per Day Personal Productivity 2.0 Over half a million Apps Used > 12 Hours Per Day 17

18 18

19 Rise of Big Data Next Frontier of Innovation 19

20 The success of companies like Google, Facebook, Amazon, and Netflix, not to mention Wall Street firms and industries from manufacturing to retail and healthcare, is increasingly driven by better tools for extracting meaning from very large quantities of data. "Data Scientist" is now the hottest job title in Silicon Valley. Tim O Reilly O Reilly Media 20

21 Big Transaction Data Big Interaction Data Online Transaction Processing (OLTP) Oracle DB2 Ingres Informix Sysbase SQL Server Online Analytical Processing (OLAP) & DW Appliances Teradata Redbrick EssBase Sybase IQ Netezza Exadata Cloud Salesforce.com Concur Google App Engine Amazon HANA Greenplum DataAllegro Asterdata Vertica Paraccel Social Media Data Facebook Twitter Linkedin Youtube Other Interaction Data Clickstream image/text Scientific Genomoic/pharma Medical Medical/Device Sensors/meters RFID tags CDR/mobile Big Data Processing 21

22 22

23 Universal Data Access ACCESS DISCOVER CLEANSE INTEGRATE ANALYZE 23

24 Enterprise Discovery TFN ACCESS DISCOVER CLEANSE INTEGRATE ANALYZE 24

25 Demonstration Overview INFABANK Beryl Hynch 25

26 Exceptions Data Stewardship ANALYST STEWARD IT IT Manual Cleanse Manager Review Manually Cleanse and Review Quality Exceptions DQ Mappings2 Validate and Onboard Cleansed Customer Leads START DQ Mappings2 Validate and Onboard Quality Customer Leads No Exceptions END ACCESS DISCOVER CLEANSE INTEGRATE ANALYZE 26

27 Universal Data Replication MAINFRAME ODS OLTP ACCESS DISCOVER CLEANSE INTEGRATE ANALYZE 27

28 Natural Language Processing SUDHIR PEOPLE MANSIP PLACES THINGS ACCESS DISCOVER CLEANSE INTEGRATE ANALYZE 28

29 Demonstration Overview INFABANK Beryl Hynch 29

30 Big Transaction Data Big Interaction Data Online Transaction Processing (OLTP) Oracle DB2 Ingres Informix Sysbase SQL Server Online Analytical Processing (OLAP) & DW Appliances Teradata Redbrick EssBase Sybase IQ Netezza Exadata Cloud Salesforce.com Concur Google App Engine Amazon HANA Greenplum DataAllegro Asterdata Vertica Paraccel Social Media Data Facebook Twitter Linkedin Youtube Other Interaction Data Clickstream image/text Scientific Genomoic/pharma Medical Medical/Device Sensors/meters RFID tags CDR/mobile Big Data Processing 30

31 Big Transaction Data Big Interaction Data Online Transaction Processing (OLTP) Oracle DB2 Ingres Informix Sysbase SQL Server Online Analytical Processing (OLAP) & DW Appliances Teradata Redbrick EssBase Sybase IQ Netezza Exadata Cloud Salesforce.com Concur Google App Engine Amazon HANA Greenplum DataAllegro Asterdata Vertica Paraccel Social Media Data Facebook Twitter Linkedin Youtube Other Interaction Data Clickstream image/text Scientific Genomoic/pharma Medical Medical/Device Sensors/meters RFID tags CDR/mobile Big Data Processing 31