Is Your Agency Data Challenged?
-
Upload
dlt-solutions -
Category
Software
-
view
81 -
download
0
Transcript of Is Your Agency Data Challenged?
Is Your Agency Data Challenged?
Kick start your data governance initiatives with DLT Solutions
July 2015
2
• Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing: – Knowing what data is available to support programs and other
business functions – Data is more difficult to access– Without insight into the lineage of data, it is risky to use as the
basis for critical decisions – Analyzing data and extracting insights to influence outcomes is
difficult at best
04/15/2023 DLT Solutions LLC - Proprietary & Confidential
3
• The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform.
• Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
04/15/2023 DLT Solutions LLC - Proprietary & Confidential
4
• Learn how to kick start your data governance initiatives and how an enterprise data management platform can help you:– Innovate and expose hidden opportunities– Break down data access barriers and ensure data is trusted – Provide actionable information at the speed of business
04/15/2023 DLT Solutions LLC - Proprietary & Confidential
6
Agenda
1. Why data governance for public sector?
2. Establishing a data governance organization
3. Building a data governance solution
4. Do’s and don’ts
5. Open questions
7
Why data governance for public sector?
Data governance enables cohesive, consistent and reliable data across all of these data perspectives
• Federated governance approach in public sector leads to fragmented data perspectives
HQ
District 1
District 2
District 3
District 4
District 5
District 6
AcquisitionACQ ACQ ACQ ACQ ACQ ACQ
Proj…Proj Proj Proj Proj Proj Proj
9
Challenging but not impossible
• Federal Government has defined a governance approach for aligning data and applications across the federal government
› Uses Federal Enterprise Architecture (FEA)
Link to Federal Enterprise Architecture information
› The DoD uses Department of Defense
Architecture Framework (DoDAF)
Link to DoDAF information
Proper data governance and tools are essential to managing these issues!
10
Data Governance
• Decision-making and oversight
• Uses a Committee to make decisions
and to provide strategic direction
Data Stewardship
• Formally making someone accountable
for data integrity
• Manages internal data subject area and it’s impact to the business
• Coordinates with colleagues and recommends operational changes needed to improve data governance
Data Management
• Day to day execution of the Governance rules
• Responsible for the day to day data management activities
• Receives direction and guidance from data steward
Establishing a data governance organization
11
Systems Model
Projects ModelBiz Function Model
Subject Area Model
Biz Process Model
Sample Data Governance/Stewardship Models
13
Start by assessing where you are.
DataQuality
DataIntegration
DataStrategy andArchitecture
MasterData
Management
MetadataManagement
Analytics
Securityand
Privacy
DashboardsScorecardsReporting
Projects, interviews, and surveys
• Do not let perfection stand in the way of progress
Public Sector
14
• Address data reliability and consistency issues
• Improve business visibility and decision-making
• Streamline time/effort required to share information
• Increase the organization’s understanding of the business in order to promote transparency and efficiency
• Drive increased accuracy, timeliness and the precision with which teams can discuss and collaborate on business issues and opportunities
• Communicate and coordinate activities such that rework and duplicative calculations, analysis, and reporting are either eliminated or recognized as necessary.
• Facilitate purposeful and coordinated ad hoc analysis
• Shift focus from data entry applications, to exploiting the value of information for our business and customers.
Data Governance: Do’s
15
• Introduce cumbersome and unwieldy processes
• Create redundant processes
• Focus on just the technology, but on how business can achieve the maximum benefits of technology.
Data Governance: Don’ts
Accelerating and Enabling a Sustainable Data Governance Program in Government
Rob Karel, Informatica VP Product Strategy and Marketing, Information Quality Solutions
Agencies Face Data Challenges
20
Valuable information exists, but trapped in legacy
systems or not digitized
New sources and huge volumes with up to 80%
unstructured
Long lifespan of data, due to retention regulations, adds storage stress…
…But short life of usable data due to data degradation
No data map to classify types and importance of data
Data governance, including data policies, needed
Data stewardship and master data management non-existent
Proliferation of duplicate and
uncleansed data
With Many Unanswered Questions
21
What is the quality of existing and new data? How do we define quality anyway? Do we capture data appropriately?
How much data must we store, and in what format? How long must we keep the data?
Who owns the data? How do we secure and address privacy of personal data? Where’s this information coming from? Should I trust it?
Who needs what data, and why? How do we balance real-time vs. right-time data delivery?
Does data change frequently?
And that’s just the tip of the iceberg
Data Governance is a Business Function
Data governance should be managed as a business function, no different
than Finance or Human Resources
Data Governance Maturity Stages
Fragmented Holistic
IT-d
rive
nB
usi
nes
s-d
rive
n
0: Unaware• No activity
1: Initial• Ad hoc
2: Repeatable• Pilot
3: Defined• Project
4: Managed• Program
5: Optimized• Function
Escalating Return on Data Investments
Fragmented Holistic
IT-d
rive
nB
usi
nes
s-d
rive
n
IT efficiencyandcompliance
Cost control, business efficiencies & risk reduction
Greater efficiency,compliance and support mission-critical objectives
Innovation, automation, economy of scale and agility
Data Governance Maturity Benchmarks (as of 7/15/2015)
Public sector maturity below x-industry
average
Data Governance is not – and should Never have been – About the Data…
…the vision mustbe to improve the business processes, decisions and interactions trusted, secure data enables!
The Ten Facets of Data Governance
People Vision and Business Case Tools andArchitecture
DependentProcesses
MeasurementOrg
AlignmentChange
ManagementPolicies
DefinedProcesses
ProgramManagement
Data Governance Roles and Responsibilities
Steering Committee
Business and IT Stewards
Data Governance Leader/Driver
Executive Sponsor(s)
• Facilitation• Communication• Measurement• Escalation• Business case
Drive X-functional:• Prioritization• Resource allocation• Approvals• Broader funding• Enforce collaboration
• Vision• Evangelism• Funding• Remove barriers
• Analysis• Definition• Business/IT liaisons• Education• Ensure compliance• Mitigation
Flavors of Data Governance Measurement
Operational monitoring
Service Level Agreements (SLAs)
Program effectiveness
Business Value/ROI
Data Governance Leader, LOB and Data Stewards
Executive Sponsors and Steering Committee
Sample Key Performance Indicators
KPI Name KPI Type KPI Description
Level of DG program influence
Program effectiveness
# of lines of business, functional areas, system areas, project teams and other parts of org that have committed stewardship resources or sponsorship
DG interactions Program effectiveness
Capture all types of value-added internal interactions such as training, consulting and project implementation support
Issue resolution Program effectiveness
Categorize and track status of all issues that come in to the data governance function
External validation Program effectiveness
Industry awards, benchmarking against peers, thought leadership via speaking tours
Data quality metrics Operational Monitoring of data accuracy, completeness, integrity, uniqueness, consistency, standardization, and other baseline DQ metrics
Policy compliance Operational Audits ensuring compliance with privacy, security, retention and other regulatory policies.
Recovery time SLA A contracted agreement with the business on how long before a data exception will be mitigated
Data latency SLA A contracted agreement with the business on how quickly a data update or insight will be delivered to a dependent process or decision-maker
Compliance Biz value Reducing penalties by ensuring regulatory compliance; reducing enterprise risk (e.g., contractual, legal, financial, brand)
Cost savings Biz value Lowering costs (e.g., business, labor, software, hardware)
Spend optimization Biz value Optimizing spending (e.g., procurement, supply chain, services, labor)
Efficiency improvements Biz value Improving operational efficiencies (e.g., employee, partner, contractor);.
Revenue growth Biz value Increasing top-line revenue growth;
Customer satisfaction Biz value Optimizing customer experience and satisfaction
Data Governance Process Stages
Discover• Data discovery• Data profiling• Data inventories• Process inventories• CRUD analysis• Capabilities assessment
Define• Business glossary creation• Data classifications• Data relationships• Reference data• Business rules• Data governance policies• Other dependent policies• Key Performance IndicatorsMeasure
and Monitor• Proactive monitoring• Operational dashboards
• Reactive operational DQ audits
• Dashboard monitoring/audits
• Data lineage analysis• Program performance• Business value/ROI
Apply• Automated rules• Manual rules• End to end workflows• Business/IT collaboration
Apply
DataGovernance
Apply
Measureand
MonitorDefine
Discover
IT Business
Collaborate
Informatica Platform Built to Support Holistic Data Governance
Apply
DataGovernance
Apply
Measureand
MonitorDefine
Discover
IT Business
Discover Define
Measure and Monitor
Apply
Collaborate
Business Process Management
Architectural Scope of Data Governance
Enterprise Data Warehouse
BI/Analytics
Performance Management
MobileShared Capabilities
• Metadata/lineage • Business glossary• BPM/Workflow• Connectivity• Services• Collaboration• Monitoring• Policy management• Stewardship• Discovery• Security• Canonical Model
Cloud
Social
HadoopBig Data
Enterprise Integration
DQ, ProfilingCEP andBusiness
Rules
MDM/ReferenceData Mgmt
Business, Data and Process Modeling
Information Security/
ILM
DataVirtualization
Legacy
Web
Enterprise apps
On premises (machine) Big Data
3rd party/Market data
Identify candidate business opportunities
1. What are the top business imperatives as defined by your most senior leadership?
2. What organizational business processes, decisions and stakeholder (e.g., citizen, partner, employee) interactions are most important in support of these top imperatives?
3. What data and applications are used to support those processes, decisions and interactions?
Data
Scope thousands of “relevant” data items to dozens or hundreds of “critical”
Use Discovery Processes to prioritize roadmap
4. What upstream people, systems, and processes create, capture, and update that data?
5. What is the business end user’s level of confidence in the security and trustworthiness of that data?
Repeat process and reassess priorities ongoing (quarterly or bi-annually at minimum)
Data
0.001.002.003.004.005.006.000.00
1.00
2.00
3.00
4.00
5.00
6.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
Business Opportunity Name
High <--- Investment & Effort ---> Low
Bu
sin
es
s V
alu
e
Consider Prioritize
ExperimentIgnore
# Business Opportunity Name
1 Reduce eDiscovery risk
2 Improve customer satisfaction scores
3 Implement shared services /COE for data management
4 Improve financial reporting
5 Secure sensitive data
6 Optimize supply chain
7 Reduce costs and inefficiencies through modernization of enterprise applications
8 Reduce waste, fraud & abuse
9 Reduce costs through data Center Consolidation
10 Introduce new service channels e.g. mobile
Consider Standardizing Process For Business Opportunity Prioritization
37
Contact Us
DLT Solutions | Infrastructure Performance Management• Visit us on our website:
– http://www.dlt.com/brands/informatica
• Reach out to us via email:– [email protected]
• Find us on social media:
04/15/2023 DLT Solutions LLC - Proprietary & Confidential
38
Learn More
• For more information, click below to download the full on-demand webinar:
04/15/2023 DLT Solutions LLC - Proprietary & Confidential