From Data Challenge to Data Opportunity

Transcription

1 From Data Challenge to Data Opportunity Jason Hunter, CTO Asia-Pacific, MarkLogic

2 A Big Data Challenge: Pushing the Limits of What's Possible

3 The Art of the Possible Multiple Government Agencies Data Hub 100 s of Service Providers Benefits Citizen Identity 36 Jurisdictions IRS SLIDE: 3

4 The Art of the Possible Accessed by millions of users Supporting over 70,000 concurrent users Multiple Government Agencies Data Hub 100 s of Service Providers 36 Jurisdictions SLIDE: 4

5 Health Insurance for Millions of Americans Before MarkLogic Unable to handle complexity Impossible data model Development too slow Limited scalability Inflexible to change After MarkLogic Built for Today s Data Schema-agnostic data model that could handle various data sources and adapt to later changes with policies and regulations Agile Development 18-month timeframe from procurement to launch for what has been called the most complex government-it project of all-time Secure and Trusted Did not have to sacrifice any of the enterprise features required, and could rely on a system with government-grade security, ACID transactions, and HA/DR Successful Deployment Over 8 Million people signed up for health insurance in less than 5 months during the first year of open enrollment SLIDE: 5

6 The Challenges of Big Data

7 Promise of Big Data Is Everywhere Increased revenue Improved loyalty Lower costs Less risk Better compliance New product innovation Operational efficiency and many more! SLIDE: 7

8 The Reality Data Is In Silos Data is spread across disconnected databases M&A outpaces the speed of data integration Data needs to be delivered in real time SLIDE: 8

9 The IT Challenge OLTP ETL ETL ARCHIVES ETL ETL WAREHOUSE REFERENCE DATA ETL DATA MARTS Relational Databases with ETL Sacrifice Agility, Timeliness and Cost All future data needs must be predictable New SQL queries require database reindexing Siloed database changes require ETL rewrites SLIDE: 9

10 The Massive Cost of Integrating Data From Silos 80 % OF TIME WASTED By data scientists just wrangling data 60 % OF THE COST Of data warehouse projects is on ETL $ 36 BILLION IN SPENDING In 2015 in creating relational data silos SLIDE: 10

11 Realising the Opportunity of Big Data

12 THE DESIRED SOLUTION A Database That Integrates Data Better, Faster, With Less Cost SLIDE: 12

13 Focus On The Data Social Media Product Holdings Fraud detection & investigation Customer Data Policy Systems Online Access Transaction records Public Data Sets SLIDE: 13

14 Focus On The Data Social Media Product Holdings Fraud detection & investigation Customer Data Policy Systems Online Access Transaction records Public Data Sets SLIDE: 14

15 Focus On The Data Social Media Product Holdings Fraud detection & investigation Customer Data Policy Systems Online Access Transaction records Public Data Sets SLIDE: 15

16 Fast & Agile Development Ready for Business 360 view of Customer, Operation, Risk Transaction Management systems?? Analytical analysis SLIDE: 16

17 The MarkLogic Alternative An Operational and Transactional Enterprise NoSQL Database Easy To Get Data In Flexible Data Model Easy To Get Data Out Ask Anything Universal Index 100% Trusted Enterprise Ready SLIDE: 17

18 Deutsche Bank Global Trade Store Integrated Data, Integrated Post-Trade Processing TRADING SYSTEMS DODD FRANK RECORDS RETENTION CANCEL, CORRECT, AMEND TRANSACTIONS POST-TRADE PROCESSING INTERNATIONAL FINANCIAL REPORTING WHY MARKLOGIC? Massive ETL too complex Development too slow on relational Structured and unstructured data Faster data integration Enterprise requirements SLIDE: 18

19 Deutsche Bank Global Trade Store Integrated Data, Integrated Post-Trade Processing TRADING SYSTEMS The Results DODD FRANK RECORDS RETENTION CANCEL, CORRECT, AMEND TRANSACTIONS POST-TRADE PROCESSING INTERNATIONAL FINANCIAL REPORTING Timely First production deployment in 6 months Flexible Integrated over 30 trading systems WHY MARKLOGIC? Massive ETL too complex Development too slow on relational Structured and unstructured data Faster data integration Cost-efficient Provisioning capacity as trade store expands Enterprise ready Secure and consistent transactions Success Running the Bank on MarkLogic Enterprise requirements SLIDE: 19

20 The World s Experts at Integrating Data From Silos MATURITY CREDIBILITY EXPERTISE 600+ global customers Decade of customer success 250+ partners 525+ employees worldwide Capitalized for success (lead funding from Sequoia Capital and Wellington) FINANCIAL SERVICES: JP Morgan Chance, JPMC Citi Morgan Stanley KPMG Deutsche Bank UBS Consulting Services Data integration experts for government and commercial 24x7 Expert Support From true engineers Online Community Collaborate with tens of thousands of people Free Training Web-based and instructor-led Bank of America Broadridge SLIDE: 20

21 Questions?