Roadmap to Successful Data Virtualization Adoption
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Transcript of Roadmap to Successful Data Virtualization Adoption
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Roadmap to Successful Data Virtualiza5on Adop5on
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Agenda
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1 History of DV at Excellus
2 DV Use Cases
3 Current and Future State
4 Lessons Learned
5 Questions?
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History of Data Virtualiza5on at Excellus 2009 -‐ Present
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First Steps: 2009 -‐ 2010 • Proof-‐of-‐Concept with Virtual View Master in 2009-‐2010
• Expanded POC with Composite Informa5on Server in 2010
• Purchased Composite Informa5on Server in 2010
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Agile Solu5on for BI and IM • Data is not always consolidated into the Data Warehouse
• Data Warehouse Transforma5on (CDW to EDW transi5on)
• Deployment 5mes for ETL projects to move data to the Data Warehouse not fast enough
• Data stored across database plaUorms (e.g. Oracle, SQL Server, DB2, other)
• No reason to physically move and persist data
• Data Silos
• Third-‐party extracts needed for repor5ng/analy5cs
• Rapid prototyping
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Federated Data Warehouse
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Federated Warehouse Views on DV Server
Packaged Apps RDBMS OLAP Cubes Flat Files Web Services
Data Warehouse Data Warehouse
BI, CPM, and Repor5ng
Portals and Dashboards
Custom and Composite Apps
ETL Server ETL Server
Business Solu+on Layer
Data Integra+on
Layer
Data Source Layer
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XDW – eXtended Data Warehouse
7 Packaged Apps RDBMS OLAP Cubes Flat Files Web Services
Data Warehouse
BI, CPM, and Repor5ng
Portals and Dashboards
Custom and Composite Apps
ETL Server
Business Solu+on Layer
Data Integra+on
Layer
Data Source Layer
Complementary Views on DV Server
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Cognos BI Environment • > 1200 Internal Users • Report Studio • Query Studio
• > 1200 External Users • Cognos BI Portal (Desktop and Mobile) • Portal used by Brokers and Large Groups
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ROI from DV • ROI (internal & external) achieved through:
• Agility • Rapid Development Ø 1 DV Developer -‐ results in days to weeks -‐ COMPARED TO -‐
Ø Standard EDW/ETL -‐ Solu5on Architect, Project Manager, Data Modeler, Data Architect, ETL Developer – results in weeks to months
• Excellus wins business due to the internal cost savings that allow us to give BI capabili5es to Brokers and Groups that other plans charge for.
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Data Virtualiza5on Use Cases External and Internal Repor5ng
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External Portal for Brokers and Groups • High Cost Claimant for Employer Group Repor5ng
• Combine EDW – EDWSTG – PEAR • Enhances standards claims informa5on with Episode Treatment
Groups (ETG) and other analy5cal informa5on from MEDai • ETG provides the basis of valid comparisons. Episodes are created
by collec5ng all inpa5ent, outpa5ent, and ancillary services into mutually exclusive categories.
• PEAR re5red – no change in func5onality
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External Portal for Brokers and Groups • Healthcare Management Program
• Combine EDW with SAS for U5liza5on Management Repor5ng • U5liza5on Management (UM) is the evalua5on of the medical
necessity, appropriateness, and efficiency of the use of health care services, procedures, and facili5es under the provisions of the applicable health benefits plan, some5mes called “u5liza5on review.”
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External Portal for Brokers and Groups • Annual Group Informa5on Form
• Phase I • Manual Excel-‐based process • Data cached in Oracle
• Phase II • AGIF Data Mart and Siebel as new data sources • Exis5ng queries repointed to views sourced from new data sources
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Internal Repor5ng • Rx Claims Repor5ng
• Combine EDW/FACETS/HPXR/PBMS for mul5ple reports/dashboards
• Data across all systems has different latency (real-‐5me, daily, weekly, monthly)
• Health Reimbursement Account (HRA) Reports • PBMS to HPXR
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Internal Repor5ng • Enrollment Errors
• Replaced the need for a physical Enrollment Errors data mart • Combines enrollment errors from three data sources (HPXR/
FAEXTCOR/FACETCOR) • Execu5ve Dashboard for Daily/Monthly/Yearly trends
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Internal Repor5ng • Doc Services Workflow
• Track data from Doc Services database and Facets
• Enterprise Scorecard • Excel data cached to Oracle
• Network and Provider Audit Reports • Change Data Capture DB (CDC) and Facets
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Current and Future State 2014 -‐ 2016
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CDV Expansion -‐ 2014 • “Tipping Points”
• Cisco Acquires Composite in 2013 • Data Strategy Planning at Excellus • Discussions with Enterprise Architecture Team
• Addi5onal Investment in Cisco Data Virtualiza5on • Doubled Produc5on Capacity • High Availability and Ac5ve Cluster
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Enterprise Involvement -‐ 2015 • Integra5on Governance Council
• Standards and Best Prac5ces • RACI Matrix
• Use Case Expansion • Web Services? • ETL Source? • Virtualized Data Marts?
• Enterprise Data Abstrac5on Model
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Enterprise Data Abstrac5on Model
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Next Steps: 2015 -‐ 2016 • Professional Services Engagement • Con5nue to define/refine Standards and Best Prac5ces within
Integra5on Governance • Iden5fy and Deploy Expanded DV Use Cases • Expand and Increase Current BI and SAS Capabili5es
• Hadoop • Data Lakes
• CDV Wiki
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Lessons Learned 2009 -‐ Present
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Lessons Learned • Bomom-‐Up vs Top-‐Down Approach • Pick your spots to get ini5al “wins” and ROI • Organiza5onal Roles and Responsibili5es
• Business Sponsor(s) for Data Abstrac5on Subject Areas • SME’s for Combined Data (not just single source) • Virtual vs Dedicated Team
• Document Standards and Best Prac5ces • Communicate Capabili5es and Success
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Ques5ons?
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