- Implement a data lake to handle increases in data volume from traditional and non-traditional data sources
- Improve and integrate data governance processes and workflows
- Improve data quality, reconciliation and balance
- Support advanced analytics
- Support big data needs, such as storing unstructured documents and images
- Replace legacy data warehouse, mainframe system and extracts
- Support the modernization of enterprise-wide reporting and analytics of both policy and claims data
THE CLIENT
THE BUSINESS OBJECTIVE
BUSINESS IMPACT
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Improved Data Insight
Began refocusing team toward harvesting actionable insights and away from data “plumbing.”
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Unified Data Platform
Broke down data silos allowing all business divisions to gather reporting and analytics from a governed data source.
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Streamlined Data Quality
Resolved data quality issues across business, IT, and end consumers.
THE WORK
X by 2 created a big data architecture and modern data platform to improve enterprise reporting, support advanced analytics, and drive business intelligence.
Current State Assessment
- Analyzed and assessed the existing data environment, integrations, data flows, pain points, areas of friction, and reporting processes across various data management divisions
Future State Architecture & Data Governance
- Defined and developed a future state solution, conceptual technical architecture, and information architecture
- Identified inhibitors to achieving the desired future state
- Rationalized existing tools and technologies
- Conducted solution evaluation and selected various data lake automation, ETL, reporting, and BI tools
- Established supporting MDM practices and processes to improve data quality
Data Strategy & Roadmap
- Developed a business-aligned strategy and roadmap – including team/resource, timeline, and cost estimates – for transforming enterprise data management and analytics
Mobilization
- Socialized program to build cross-departmental buy-in
- Established program leadership and governance
- Developed a staffing plan and on-boarded a hybrid team with client and X by 2 members
- Finalized the implementation roadmap
Implementation
- Provided program and technical/architectural leadership of the hybrid team
- Launched envisioned data store and enabled data governance, integration, and analytic and reporting capabilities
- Leveraged best practices for developing a scale- out Hadoop architecture, including raw, trusted, refined, and exploration data zones
- Implemented technical components for automating data management

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For over 20 years, X by 2 has helped insurers turn disruption into opportunity and meet the demands of today’s digital consumer. Through cutting edge technology, advanced data analytics and human-centric design, we lead insurers into the future.