the data-hub journey at erie insurance - marklogic...operational data hub (odh)...
TRANSCRIPT
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13 June 2017© COPYRIGHT MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
The Data-Hub Journey at Erie InsuranceBrian Novacek, Erie Insurance
Derek Laufenberg, MarkLogic
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SLIDE: 2 © COPYRIGHT 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Operational Dataflow ChallengesWho are my customers? ▪What services might they need?
How do I keep them? ▪ What are the business risks? ▪ How valuable is…?
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SLIDE: 3 © COPYRIGHT 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
60% OF THE
Of data warehouse projects is on ETL
COSTDevoted to just “keep-the-lights-on” activities
In security budgets, while IT budgets overall remain flat
72%INCREASE50 % OF
BUDGETS
DATA INTEGRATION DATA SECURITY MANAGEABILITY
Today’s Data Management Challenges
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Erie Insurance
• Fortune 500 Company located in Erie Pennsylvania• A+ (Superior) rated by A.M. Best Company• Over 5,000 employees and 12,000 independent agents• 10th largest homeowner insurer in United States• 12th largest automobile insurer in United States• 15th largest property/casualty insurer in United States
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To provide our Policyholders with as near perfect protection, as near perfect service, as is humanly
possible, and to do so at the lowest possible cost.
What is our mission?
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Erie’s Challenges
• Application Data Silos• Shadow IT Systems• Complex Workflow & Integration Processes• Data Mastering Challenges• Aging Mainframe Applications & Hardware
– Need a 360 view, or golden record
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Erie’s Business Need
• High Speed and Open/Extensible Delivery Platform• Cross Lines Integration & Data Mastering• Data Integrity with Security
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Erie’s Technical Goals
• Improve Application Delivery Times• Utilize Agile Processes• One Simple Goal
• Turn data into information as fast as possible• Golden record with 360 degree view
• Researched Platforms and Options
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SLIDE: 9 © COPYRIGHT 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Erie’s Search
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Erie’s Search
• NoSQL & Document Databases üFlexibilityüScalability
• Needed Security, Transactions, & BI • Support Enterprise Operations
LearnedofMarkLogicandData-HubPattern
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SLIDE: 11 © COPYRIGHT 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Fixing the PictureA NEW ENTERPRISE INTEGRATION PATTERN
§ Traditional integration technologies are people intensive
§ Copying the same data to support different needs is the norm because of rigid models
§ A flexible, scalable operational databaseis the foundation for a Data Centricapproach
§ Greater convergence between analysis and operations is critically important
§ The new Enterprise Pattern is the Operational Data Hub
Quotes
Ratings& Risk
Multiple CRMs
Claims
Billing
3rd Party DataAgency
Policy
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SLIDE: 12 © COPYRIGHT 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Definition 1.2Operational Data Hub (ODH)
An authoritative data repository for cross-functional operationsthat harmonizes line-of-business data into a canonical forms on an as-needed basis.
It serves as a multi-subject, multi-model, contextual, real-time, integrated and data-centric enterprise interchange in support of enterprise operations and analysis/discovery throughout the data lifecycle.
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SLIDE: 13 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
MarkLogic ODH Pattern
MESSAGEBUS
RDBMS
CONTENTFEED
ING
EST
ANALYTICALAPPS
OPERATIONAL APPS
DOWNSTREAMSYSTEMS
SERV
E
STAGING(RAW DATA AS IS)
FINAL(HARMONIZED, INDEXED DATA)
SOURCE 1 DOCUMENTS
SOURCE 2 DOCUMENTS
SOURCE NDOCUMENTS
ENVELOPED DOCS (ENTITY 1)
ENVELOPED DOCS (ENTITY 2)
ENVELOPED DOCS (ENTITY N)
HA
RM
ON
IZE
INDEX, SEARCH, DISCOVERY, &
HARMONIZATION
INDEX, SEARCH,& SERVICES
f(x)
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POC Overview
ObjectiveProve whether or not document data modeling and storage can improve flexibility and accelerate application development.Understand impacts when model changes occur.
Scope• “System of Record” use case• Day 1 ‘Add & Maintain
Individual Entity Data’ • Compare/contrast application
development with document models
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Document Relational
RelativeAppliedTime
DocumentPOC
RelationalDB
POC Summary
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Why MarkLogic• Enterprise grade –
– ACID Transactions– Backup – point in time restore – High Availability and Disaster Recovery– Security
• Flexible data model– easy to work with– fast search
• Scalability and real-time alerting• Approximate 4:1 improvement overall application delivery
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Three Pillars for Success
Technology
Process People
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Technology Change…
• Short story – it works!• Longer Story –
– Data Hub Pattern– Scalable, Enterprise– … you get the picture
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Process Change…
• Make your process more agile• ETL becomes ELT• Data model as you go
– Load sources iteratively – Harmonize as applications require– No “big bang”
• Communicate – repeatedly
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People Change…• Socialize the Technology
– Data Hub Pattern– Search & discovery– Incremental data modeling
• Expanding with the right projects– Match project to team’s skill level– Keep focused
• Leverage Your MarkLogic Sales Engineers– Email / WebEx Sessions– Onsite Office Hours
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Becoming Self-Sufficient
• Select projects that match team’s skill level• Build a Center of Excellence
– Open minded architects and developers– Skilled in multiple API, languages– Track record of embracing new technology
• Leverage MarkLogic Consulting to augment your domain experts• MarkLogic University
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Erie Today…
• We are building a Data-Hub using MarkLogic• We are doing it the MarkLogic way• Focused on new & improving processes• Leveraging acceleration while learning• Delivering Faster
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Q & A