pa dgs 16 presentation - data rich results poor - patrick keating

16
Data Rich / Results Poor Pennsylvania Department of Health Data Governance 12/1/2016

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Page 1: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

Data Rich / Results Poor

Pennsylvania Department of Health

Data Governance

12/1/2016

Page 2: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Overview• Review Initiative

• Identify Solutions

• Discuss Results to date

Page 3: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Step 1

Identify your goal

Recognize data is an asset

Need some way to better manage our

data strategically

Page 4: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Step 2

Hire a consultant

Identify Best Practices

Assess “As-Is”

Determine “To-Be”

Create Roadmap

Page 5: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

• PA DOH Governance Vision“Catalyst for transformation into shared-data culture providing secured and trusted information,

promoting Consistency, Control, Collaboration and Communication aligned with and instrumental to PA DOH goals”

Pillars of Governance

Information Governance

Process Governance Process Planning & Prioritization Policy/Standards definition Metrics & KPIs definition Data Sharing rules Data Privacy/Security rules Data Quality rules Regulatory & Compliance Workflow & Audit

People Organizational Entities Entity Functions/Services Entity Collaboration Stewardship Roles Steward Responsibilities Stewards Collaboration Communication

Architecture PA DOH Informatics Data Source/Applications Application Inventory Data Catalog, Dictionary Data Cleansing & Quality Data Models & Integration Data Provisioning & BI Metadata, Lineage Traceability

Sustenance Governance Training Governance Branding Metrics & KPIs monitoring Governance Adoption Change Management

Enablers of Governance

Page 6: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

• Holistic Data Management from a Functional Perspective establishes the requisite checklists for proper considerations…

Additional prerequisites emerge to incorporate all data into governance schemes

Automation becomes crucial in effective data management scenarios

The need for vital information is changing the nature and meaning of Governance and Shared Services – It is fostering new ways to manage and control information at PA DOH

GovernanceView

ProcessView Data

ViewTechnology

ViewArchitecture

View

Vision and Goals

Accountability

Stewardship

Policies and Guidelines

Communication

Governance Adoption

Access Rights and Permission

Communication Methods

Organizational Model

Business Process

Management

Orchestration

Data Certification

Quality Control

Issue Resolution

Functional Organization

Data Certification

Master Data

Metadata

Persistent Data

Non-Persistent Data

Structured Data

Unstructured Data

Advanced Analytics

Data Mechanisms

Data Collection

Data Validation

Rules Repository

Data Integration

Advanced Analytics

Issue Detection

Security

Services

Messaging

Level of Automation

Detection and Control

Scalability and Reusability

Span of Implementation

Usability

Services

Technology & Tools

A holistic approach is recommended for PA DOH Governance & Informatics to gain actionable insights and enable behavioral change for improved public health outcomes.

PA DOH Governance PA DOH Informatics

Page 7: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Step 3

• Review consultant documentation

• Establish a Data Governance Taskforce

Subset of PA DOH staff

Technical

Analytical

Business

Page 8: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Step 4

Hire Another Consultant

Boil down all the information

that was gathered to a

manageable plan.

Page 9: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Page 10: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Activities• Created the Division of Health Informatics

Made up of the Enterprise Data Warehouse team, Statistical Support team, Public Health Registry team.

• Establishing Data Stewardship Workgroup

Cataloging all assets

Data – Internal / External

Reports

Page 11: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Activities

• Establishing Data Governance Committee

Subset of Bureau Directors / Data Intensive

Prioritize data needs

• Establishing Data Governance Board

Made up of Deputies within DOH

Aligned with the DOH IT Governance Board

Helps prioritize direction

Page 12: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Communications

Top Down

Bottom Up

Page 13: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Where are we now?

• Enterprise Data Warehouse established

building out based on priorities

• Data Governance teams in place

Working through prioritizations

• Monitoring metrics

Page 14: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Where are we now?

• Evaluating Analytical capabilities throughout the Department

Haves / Have Nots

• EDW Team worked with Statistical Support Team

Created Population Health Data Portal

EDDIE - http://doh.pa.gov/eddie

Page 15: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Lessons Learned

• Obtain executive level support - even across administrations.

• Find champions in program areas.

• It will always take longer than you think.

• Keep in mind cultural changes and how to manage.

Page 16: PA DGS 16 Presentation - Data Rich Results Poor - Patrick Keating

PA DOH Data Governance

Questions?