SlideShare une entreprise Scribd logo
1  sur  9
Télécharger pour lire hors ligne
Data Governance
Governance
1
© Copyright 2014 Axis Technology, LLC
Data Governance - About
2
A successful data governance capability requires a strategy to align regulatory drivers and
technology enhancement initiatives with business needs and objectives, taking into account the
organizational, technological and cultural changes that will need to take place.
Framework
Includes the organization and delivery of timely,
accurate and secure information in support of
business processes.
Programs
Need to be effective, efficient, sustainable and
take into account organizational, technological
and cultural challenges.
Decision-making
Processes gather data and organize it into the
information needed to avoid risk and make
sound business decisions.
Big Data
Addresses complex data challenges, enabling
organizations to increase insight into risk,
reduce processing costs, and meet strict
regulatory deadlines.
© Copyright 2014 Axis Technology, LLC
Data Governance - Challenges
• In the industry today, data management challenges are exacerbated for a number of reasons:
– Enterprise data governance is a significant undertaking that requires cultural change. Technical
capabilities, organizational readiness and data governance baseline all impact the ability to
successfully roll out this program.
– There are limited tools to help implement data governance policies and make it a sustainable
program that ensure accurate secure data.
– Organizations have created complex data mapping and transformation logic in order to create single
points of entry and “trusted” sources of information. This has increased environmental complexity
without necessarily improving the data quality.
– Within finance and insurance industries, extensive acquisitions and corporate merges have lead to
uncoordinated process and systems that span product lines, business lines and governance
jurisdictions, intensifying the challenges of data governance.
– Bank Secrecy Act (1970)
– BASEL II Accord
– Fair Credit Reporting Act (FCRA)
– Federal Fair and Accurate Credit Transactions
(FACT Act) Provisions
– Fiduciary Confidentiality
– Gramm-Leach-Bliley Act (GLBA-1999)
– Payment Car Industry Data Security
Standards (PCI DSS)
– Sarbanes-Oxley Act (SOX-2002)
– SEC Rule 17-a4,
– UK Data Protection Act (DPA)
– USA Patriot Act (2001)
• Policies keep us in line with many important laws and regulations:
3
© Copyright 2014 Axis Technology, LLC
Transfer
Knowledge
Data Governance - Approach
At Axis Technology, LLC we have helped organizations develop and execute their data management
roadmaps that defines strategies optimized to each client’s unique situation.
Define the
problem
Design the
solution
Build and
implement
roadmap
Inspect
current
state
A successful data governance program will enable your organization to realize value from its data. It will
address risk, become a competitive advantage and work towards better relations with your clients.
• Define the problem – define the high level strategy and scope.
• Inspect the current state – understand the data and the business’
technical, cultural and organization capabilities and challenges
• Design the solution – design an achievable solution incorporating best practices
and applying it to the unique business environment and present options
• Build and Implement roadmap/Optimize implementation – work with our
partners to build and implement a roadmap that meets business goals
• Transfer knowledge – ensure processes are in place and knowledge has
been transferred to enable a sustainable execution
4
© Copyright 2014 Axis Technology, LLC
Data Governance - Expertise
5
The following is an example of how a bank’s complex data environment increases risk, the cost to do business and limits the
ability to leverage the full value of the enterprise.
The situation…
In October 2009, the OCC required the bank to begin submitting a quarterly report outlining 35 data elements for commercial
real estate loan across the enterprise with a $10 million or greater commitment. By 2Q 2011 this level of detail must be provided
for all loans of $1 million or greater.
The complexity…
The data needed to generate this report resides on nineteen systems of record in the loan accounting system. While data fields
in the various systems of record are similar, lines of business use the data fields differently - there is no protocol for common
usage.
The approach…
An internal team partnered with Ernst & Young to assist in the production of the initial quarterly report for 3Q 2010. The process
was manually intensive requiring the use of multiple Access and Excel files. All four reports to date have been submitted on
time. The last two reports were accepted 100% fatal error free on first submission.
The cost…
The initial report cost $3.6MM to produce. Subsequent manual execution of this report has a cost of >$1.2MM. Automation of
the report is not possible as all these systems define the elements differently. the report elements may change at any time and
keeping them all in sync is a daunting task.
The DMIS approach…
DMIS will require the identification of key commercial real estate data elements and the description of what can populate those
fields. Standardization of the key data elements will create efficiency gains and greatly reduce the cost of integrating information.
© Copyright 2014 Axis Technology, LLC
Customer
Service
Corporate
Agility
Corporate
Decision
Making
Compliance
& Risk
Mgmt
Cost
Reduction
Data Strategy
&
Accountability
Data
Security &
Quality
Data Governance - Drivers
6
An effective data governance program leads to a successful data management capability
© Copyright 2014 Axis Technology, LLC
Data Governance Maturity Levels
Maturity CharacteristicsMaturity CharacteristicsMaturity CharacteristicsMaturity Characteristics
Repeatable
Establishing the Baseline
Metrics
Defined
Self-monitoring & Reporting
Progress Metrics
Managed
Sustainability and Maintenance
Metrics
Aware
Information Landscape is not
managed
Maturity Level 4Maturity Level 3Maturity Level 2Maturity Level 1
Maturity Characteristics
Optimized
Prioritization and Improvement
Metrics
Maturity Level 5
Profiling or data quality
measures of data elements are
not in place or data quality
standards are not published.
Data is distributed on a
reactive basis with little to no
enterprise planning, control or
governance.
Scope of System Owners is
defined, and stewards / owners
are named.
Executive level accountability is
defined by Enterprise
Governance.
Local Data Governance bodies
are chartered and routines are
in place.
Executive level accountability is
not defined. Scope of System
Owners (stewards / owners) are
not defined or named.
Enterprise and Local Data
Governance sustainability
routines are in place.
Registration as a data provider
is complete. All of the
system’s business domains
and provisioning roles are
documented. The data
provider assessment
information is complete.
Data provisioning and
consumption occurs according
to the domain roadmap.
Provisioning governance is in
place and drives ongoing
funding and execution
decisions.
Data lineage is documented
for all prioritized data flows
involving the system. Target
provisioning points are
designated and a domain
provisioning roadmap is in
place.
SLAs with data consumers are
in place; all data flows into
and out of system are
documented. Projects comply
with enterprise Data
Provisioning Strategy
Framework and Guidelines.
Data quality goals are in place
and drive remediation
activities.
A data quality response plan
with defined thresholds for key
business elements and data
quality self-monitoring
activities are defined and
followed.
Metadata is easily accessible
across domains. The BDL is
mapped to the CBL.
Baseline documentation for
data stores, data flows, and
data element definitions are
available.
Documentation for data
lineage, data stores and data
element definitions are
maintained and available to
the enterprise.
Data Dictionaries are governed.
A Business Domain Language is
governed and mapped to data
elements.
System characteristics are not
defined or documented.
Business, technical and
operational metadata is not
effectively cataloged.
Accountability
Metadata
Data Quality
Data Provisioning
Key business elements are
measured against data quality
standards and data quality
reports are published on an
established measurement
schedule.
Key business elements are
identified and data quality
standards are created for them
based on analysis of profiling
or data quality measurement
results.
7
© Copyright 2014 Axis Technology, LLC
• Cost
– Increased efficiency reduces costs
– Reduce redundant systems and associated operating costs
– Reduce time and effort needed to verify and correct poor data
• Regulatory
– Reduce risk
– Improve compliance
• Opportunities
– Driving business growth
– Delivering improved client service
– Providing prompt and accurate responses to regulatory requests
– Delivering increased business intelligence from consistent and aggregated data
– Information sharing and coordination across organizations.
– Cross-selling
– Segmenting and targeted service opportunities
Data Governance - Benefits
8
© Copyright 2014 Axis Technology, LLC
www.AxisTechnologyLLC.com
70 Federal Street
Boston, MA 02110
(857) 445-0110
9

Contenu connexe

Tendances

Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
 
Data Quality Best Practices
Data Quality Best PracticesData Quality Best Practices
Data Quality Best PracticesDATAVERSITY
 
Data Governance
Data GovernanceData Governance
Data GovernanceBoris Otto
 
Data Stewards – Defining and Assigning
Data Stewards – Defining and AssigningData Stewards – Defining and Assigning
Data Stewards – Defining and AssigningDATAVERSITY
 
Master Data Management – Aligning Data, Process, and Governance
Master Data Management – Aligning Data, Process, and GovernanceMaster Data Management – Aligning Data, Process, and Governance
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
 
State of Data Governance in 2021
State of Data Governance in 2021State of Data Governance in 2021
State of Data Governance in 2021DATAVERSITY
 
Data Quality Strategy: A Step-by-Step Approach
Data Quality Strategy: A Step-by-Step ApproachData Quality Strategy: A Step-by-Step Approach
Data Quality Strategy: A Step-by-Step ApproachFindWhitePapers
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
 
Implementing Effective Data Governance
Implementing Effective Data GovernanceImplementing Effective Data Governance
Implementing Effective Data GovernanceChristopher Bradley
 
Business Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachBusiness Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachDATAVERSITY
 
Data Governance
Data GovernanceData Governance
Data GovernanceRob Lux
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
 
Data as a Profit Driver – Emerging Techniques to Monetize Data as a Strategic...
Data as a Profit Driver – Emerging Techniques to Monetize Data as a Strategic...Data as a Profit Driver – Emerging Techniques to Monetize Data as a Strategic...
Data as a Profit Driver – Emerging Techniques to Monetize Data as a Strategic...DATAVERSITY
 
Data Quality Best Practices
Data Quality Best PracticesData Quality Best Practices
Data Quality Best PracticesDATAVERSITY
 
How to Strengthen Enterprise Data Governance with Data Quality
How to Strengthen Enterprise Data Governance with Data QualityHow to Strengthen Enterprise Data Governance with Data Quality
How to Strengthen Enterprise Data Governance with Data QualityDATAVERSITY
 
Data Governance Best Practices, Assessments, and Roadmaps
Data Governance Best Practices, Assessments, and RoadmapsData Governance Best Practices, Assessments, and Roadmaps
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
 
Activate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogActivate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogDATAVERSITY
 
Data Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation SlidesData Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation SlidesSlideTeam
 
Glossaries, Dictionaries, and Catalogs Result in Data Governance
Glossaries, Dictionaries, and Catalogs Result in Data GovernanceGlossaries, Dictionaries, and Catalogs Result in Data Governance
Glossaries, Dictionaries, and Catalogs Result in Data GovernanceDATAVERSITY
 

Tendances (20)

Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
 
Data Quality Best Practices
Data Quality Best PracticesData Quality Best Practices
Data Quality Best Practices
 
Data Governance
Data GovernanceData Governance
Data Governance
 
Data Stewards – Defining and Assigning
Data Stewards – Defining and AssigningData Stewards – Defining and Assigning
Data Stewards – Defining and Assigning
 
Master Data Management – Aligning Data, Process, and Governance
Master Data Management – Aligning Data, Process, and GovernanceMaster Data Management – Aligning Data, Process, and Governance
Master Data Management – Aligning Data, Process, and Governance
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
 
State of Data Governance in 2021
State of Data Governance in 2021State of Data Governance in 2021
State of Data Governance in 2021
 
Data Quality Strategy: A Step-by-Step Approach
Data Quality Strategy: A Step-by-Step ApproachData Quality Strategy: A Step-by-Step Approach
Data Quality Strategy: A Step-by-Step Approach
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
 
Implementing Effective Data Governance
Implementing Effective Data GovernanceImplementing Effective Data Governance
Implementing Effective Data Governance
 
Business Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachBusiness Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected Approach
 
Data Governance
Data GovernanceData Governance
Data Governance
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
 
Data as a Profit Driver – Emerging Techniques to Monetize Data as a Strategic...
Data as a Profit Driver – Emerging Techniques to Monetize Data as a Strategic...Data as a Profit Driver – Emerging Techniques to Monetize Data as a Strategic...
Data as a Profit Driver – Emerging Techniques to Monetize Data as a Strategic...
 
Data Quality Best Practices
Data Quality Best PracticesData Quality Best Practices
Data Quality Best Practices
 
How to Strengthen Enterprise Data Governance with Data Quality
How to Strengthen Enterprise Data Governance with Data QualityHow to Strengthen Enterprise Data Governance with Data Quality
How to Strengthen Enterprise Data Governance with Data Quality
 
Data Governance Best Practices, Assessments, and Roadmaps
Data Governance Best Practices, Assessments, and RoadmapsData Governance Best Practices, Assessments, and Roadmaps
Data Governance Best Practices, Assessments, and Roadmaps
 
Activate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogActivate Data Governance Using the Data Catalog
Activate Data Governance Using the Data Catalog
 
Data Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation SlidesData Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation Slides
 
Glossaries, Dictionaries, and Catalogs Result in Data Governance
Glossaries, Dictionaries, and Catalogs Result in Data GovernanceGlossaries, Dictionaries, and Catalogs Result in Data Governance
Glossaries, Dictionaries, and Catalogs Result in Data Governance
 

En vedette

Creating Your Data Governance Dashboard
Creating Your Data Governance DashboardCreating Your Data Governance Dashboard
Creating Your Data Governance DashboardTrillium Software
 
Sustaining Data Governance and Adding Value for the Long Term
Sustaining Data Governance and Adding Value for the Long TermSustaining Data Governance and Adding Value for the Long Term
Sustaining Data Governance and Adding Value for the Long TermFirst San Francisco Partners
 
The Data Driven University - Automating Data Governance and Stewardship in Au...
The Data Driven University - Automating Data Governance and Stewardship in Au...The Data Driven University - Automating Data Governance and Stewardship in Au...
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
 
Data Architecture for Data Governance
Data Architecture for Data GovernanceData Architecture for Data Governance
Data Architecture for Data GovernanceDATAVERSITY
 
Data Governance in the age of Social Media
Data Governance in the age of Social MediaData Governance in the age of Social Media
Data Governance in the age of Social MediaExperian
 
2013 Data Governance Professionals Organization (DGPO) Digital River Webinar
2013 Data Governance Professionals Organization (DGPO) Digital River Webinar2013 Data Governance Professionals Organization (DGPO) Digital River Webinar
2013 Data Governance Professionals Organization (DGPO) Digital River WebinarDeepak Bhaskar, MBA, BSEE
 
Data-Ed Webinar: Data Governance Strategies
Data-Ed Webinar: Data Governance StrategiesData-Ed Webinar: Data Governance Strategies
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
 
SAS Forum India: Building for Success: The Foundation for Achievable Master D...
SAS Forum India: Building for Success: The Foundation for Achievable Master D...SAS Forum India: Building for Success: The Foundation for Achievable Master D...
SAS Forum India: Building for Success: The Foundation for Achievable Master D...SAS Institute India Pvt. Ltd
 
Oracle Big Data Governance Webcast Charts
Oracle Big Data Governance Webcast ChartsOracle Big Data Governance Webcast Charts
Oracle Big Data Governance Webcast ChartsJeffrey T. Pollock
 
Ibm data governance framework
Ibm data governance frameworkIbm data governance framework
Ibm data governance frameworkkaiyun7631
 
Data Governance Best Practices
Data Governance Best PracticesData Governance Best Practices
Data Governance Best PracticesBoris Otto
 

En vedette (12)

Creating Your Data Governance Dashboard
Creating Your Data Governance DashboardCreating Your Data Governance Dashboard
Creating Your Data Governance Dashboard
 
Sustaining Data Governance and Adding Value for the Long Term
Sustaining Data Governance and Adding Value for the Long TermSustaining Data Governance and Adding Value for the Long Term
Sustaining Data Governance and Adding Value for the Long Term
 
The Data Driven University - Automating Data Governance and Stewardship in Au...
The Data Driven University - Automating Data Governance and Stewardship in Au...The Data Driven University - Automating Data Governance and Stewardship in Au...
The Data Driven University - Automating Data Governance and Stewardship in Au...
 
Data Architecture for Data Governance
Data Architecture for Data GovernanceData Architecture for Data Governance
Data Architecture for Data Governance
 
Data Governance in the age of Social Media
Data Governance in the age of Social MediaData Governance in the age of Social Media
Data Governance in the age of Social Media
 
2013 Data Governance Professionals Organization (DGPO) Digital River Webinar
2013 Data Governance Professionals Organization (DGPO) Digital River Webinar2013 Data Governance Professionals Organization (DGPO) Digital River Webinar
2013 Data Governance Professionals Organization (DGPO) Digital River Webinar
 
Cache governance
Cache governanceCache governance
Cache governance
 
Data-Ed Webinar: Data Governance Strategies
Data-Ed Webinar: Data Governance StrategiesData-Ed Webinar: Data Governance Strategies
Data-Ed Webinar: Data Governance Strategies
 
SAS Forum India: Building for Success: The Foundation for Achievable Master D...
SAS Forum India: Building for Success: The Foundation for Achievable Master D...SAS Forum India: Building for Success: The Foundation for Achievable Master D...
SAS Forum India: Building for Success: The Foundation for Achievable Master D...
 
Oracle Big Data Governance Webcast Charts
Oracle Big Data Governance Webcast ChartsOracle Big Data Governance Webcast Charts
Oracle Big Data Governance Webcast Charts
 
Ibm data governance framework
Ibm data governance frameworkIbm data governance framework
Ibm data governance framework
 
Data Governance Best Practices
Data Governance Best PracticesData Governance Best Practices
Data Governance Best Practices
 

Similaire à Data Governance

Introduction to DCAM, the Data Management Capability Assessment Model - Editi...
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...Introduction to DCAM, the Data Management Capability Assessment Model - Editi...
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...Element22
 
How Ally Financial Achieved Regulatory Compliance with the Data Management Ma...
How Ally Financial Achieved Regulatory Compliance with the Data Management Ma...How Ally Financial Achieved Regulatory Compliance with the Data Management Ma...
How Ally Financial Achieved Regulatory Compliance with the Data Management Ma...DATAVERSITY
 
TOP_407070357-Data-Governance-Playbook.pptx
TOP_407070357-Data-Governance-Playbook.pptxTOP_407070357-Data-Governance-Playbook.pptx
TOP_407070357-Data-Governance-Playbook.pptxSabrinaLameiras1
 
Information governance presentation
Information governance   presentationInformation governance   presentation
Information governance presentationIgor Swann
 
Financial Services - New Approach to Data Management in the Digital Era
Financial Services - New Approach to Data Management in the Digital EraFinancial Services - New Approach to Data Management in the Digital Era
Financial Services - New Approach to Data Management in the Digital Eraaccenture
 
Why Data Quality is Key To Solvency II
Why Data Quality is Key To Solvency IIWhy Data Quality is Key To Solvency II
Why Data Quality is Key To Solvency IIcolinrickard
 
Cognitivo - Tackling the enterprise data quality challenge
Cognitivo - Tackling the enterprise data quality challengeCognitivo - Tackling the enterprise data quality challenge
Cognitivo - Tackling the enterprise data quality challengeAlan Hsiao
 
Is Your Agency Data Challenged?
Is Your Agency Data Challenged?Is Your Agency Data Challenged?
Is Your Agency Data Challenged?DLT Solutions
 
SDM Presentation V1.0
SDM Presentation V1.0SDM Presentation V1.0
SDM Presentation V1.0KirSinc
 
Fuel your Data-Driven Ambitions with Data Governance
Fuel your Data-Driven Ambitions with Data GovernanceFuel your Data-Driven Ambitions with Data Governance
Fuel your Data-Driven Ambitions with Data GovernancePedro Martins
 
Big Data - Accountability Solutions for Public Sector Programs
Big Data - Accountability Solutions for Public Sector ProgramsBig Data - Accountability Solutions for Public Sector Programs
Big Data - Accountability Solutions for Public Sector ProgramsGaurav "GP" Pal
 
Data Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better ReportingData Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better Reportingaccenture
 
Governance and Architecture in Data Integration
Governance and Architecture in Data IntegrationGovernance and Architecture in Data Integration
Governance and Architecture in Data IntegrationAnalytiX DS
 
White Paper-1-AnalytiX Mapping Manager-Governance And Architecture In Data In...
White Paper-1-AnalytiX Mapping Manager-Governance And Architecture In Data In...White Paper-1-AnalytiX Mapping Manager-Governance And Architecture In Data In...
White Paper-1-AnalytiX Mapping Manager-Governance And Architecture In Data In...AnalytixDataServices
 
Reference data management in financial services industry
Reference data management in financial services industryReference data management in financial services industry
Reference data management in financial services industryNIIT Technologies
 
oracle-data-governance-wp.pdf
oracle-data-governance-wp.pdforacle-data-governance-wp.pdf
oracle-data-governance-wp.pdfaliramezani30
 
1145_October5_NYCDGSummit
1145_October5_NYCDGSummit1145_October5_NYCDGSummit
1145_October5_NYCDGSummitRobert Quinn
 
Maclear’s IT GRC Tools – Key Issues and Trends
Maclear’s  IT GRC Tools – Key Issues and TrendsMaclear’s  IT GRC Tools – Key Issues and Trends
Maclear’s IT GRC Tools – Key Issues and TrendsMaclear LLC
 
Bridging Data Gaps with a Solid Data Foundation - A Key Imperative for Today’...
Bridging Data Gaps with a Solid Data Foundation - A Key Imperative for Today’...Bridging Data Gaps with a Solid Data Foundation - A Key Imperative for Today’...
Bridging Data Gaps with a Solid Data Foundation - A Key Imperative for Today’...Denodo
 
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
 

Similaire à Data Governance (20)

Introduction to DCAM, the Data Management Capability Assessment Model - Editi...
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...Introduction to DCAM, the Data Management Capability Assessment Model - Editi...
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...
 
How Ally Financial Achieved Regulatory Compliance with the Data Management Ma...
How Ally Financial Achieved Regulatory Compliance with the Data Management Ma...How Ally Financial Achieved Regulatory Compliance with the Data Management Ma...
How Ally Financial Achieved Regulatory Compliance with the Data Management Ma...
 
TOP_407070357-Data-Governance-Playbook.pptx
TOP_407070357-Data-Governance-Playbook.pptxTOP_407070357-Data-Governance-Playbook.pptx
TOP_407070357-Data-Governance-Playbook.pptx
 
Information governance presentation
Information governance   presentationInformation governance   presentation
Information governance presentation
 
Financial Services - New Approach to Data Management in the Digital Era
Financial Services - New Approach to Data Management in the Digital EraFinancial Services - New Approach to Data Management in the Digital Era
Financial Services - New Approach to Data Management in the Digital Era
 
Why Data Quality is Key To Solvency II
Why Data Quality is Key To Solvency IIWhy Data Quality is Key To Solvency II
Why Data Quality is Key To Solvency II
 
Cognitivo - Tackling the enterprise data quality challenge
Cognitivo - Tackling the enterprise data quality challengeCognitivo - Tackling the enterprise data quality challenge
Cognitivo - Tackling the enterprise data quality challenge
 
Is Your Agency Data Challenged?
Is Your Agency Data Challenged?Is Your Agency Data Challenged?
Is Your Agency Data Challenged?
 
SDM Presentation V1.0
SDM Presentation V1.0SDM Presentation V1.0
SDM Presentation V1.0
 
Fuel your Data-Driven Ambitions with Data Governance
Fuel your Data-Driven Ambitions with Data GovernanceFuel your Data-Driven Ambitions with Data Governance
Fuel your Data-Driven Ambitions with Data Governance
 
Big Data - Accountability Solutions for Public Sector Programs
Big Data - Accountability Solutions for Public Sector ProgramsBig Data - Accountability Solutions for Public Sector Programs
Big Data - Accountability Solutions for Public Sector Programs
 
Data Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better ReportingData Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better Reporting
 
Governance and Architecture in Data Integration
Governance and Architecture in Data IntegrationGovernance and Architecture in Data Integration
Governance and Architecture in Data Integration
 
White Paper-1-AnalytiX Mapping Manager-Governance And Architecture In Data In...
White Paper-1-AnalytiX Mapping Manager-Governance And Architecture In Data In...White Paper-1-AnalytiX Mapping Manager-Governance And Architecture In Data In...
White Paper-1-AnalytiX Mapping Manager-Governance And Architecture In Data In...
 
Reference data management in financial services industry
Reference data management in financial services industryReference data management in financial services industry
Reference data management in financial services industry
 
oracle-data-governance-wp.pdf
oracle-data-governance-wp.pdforacle-data-governance-wp.pdf
oracle-data-governance-wp.pdf
 
1145_October5_NYCDGSummit
1145_October5_NYCDGSummit1145_October5_NYCDGSummit
1145_October5_NYCDGSummit
 
Maclear’s IT GRC Tools – Key Issues and Trends
Maclear’s  IT GRC Tools – Key Issues and TrendsMaclear’s  IT GRC Tools – Key Issues and Trends
Maclear’s IT GRC Tools – Key Issues and Trends
 
Bridging Data Gaps with a Solid Data Foundation - A Key Imperative for Today’...
Bridging Data Gaps with a Solid Data Foundation - A Key Imperative for Today’...Bridging Data Gaps with a Solid Data Foundation - A Key Imperative for Today’...
Bridging Data Gaps with a Solid Data Foundation - A Key Imperative for Today’...
 
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...
 

Plus de Axis Technology, LLC

Entitlements Management Strategy-White Paper
Entitlements Management Strategy-White PaperEntitlements Management Strategy-White Paper
Entitlements Management Strategy-White PaperAxis Technology, LLC
 
Tile-based Navigation & Analytics-White Paper
Tile-based Navigation & Analytics-White PaperTile-based Navigation & Analytics-White Paper
Tile-based Navigation & Analytics-White PaperAxis Technology, LLC
 
Assessing the Value of Rich Internet-White Paper
Assessing the Value of Rich Internet-White PaperAssessing the Value of Rich Internet-White Paper
Assessing the Value of Rich Internet-White PaperAxis Technology, LLC
 
Solution Evaluation & Selection Brochure
Solution Evaluation & Selection BrochureSolution Evaluation & Selection Brochure
Solution Evaluation & Selection BrochureAxis Technology, LLC
 
Sensitive Data Assessment Brochure
Sensitive Data Assessment Brochure Sensitive Data Assessment Brochure
Sensitive Data Assessment Brochure Axis Technology, LLC
 
Data Architecture Strategy Brochure
Data Architecture Strategy BrochureData Architecture Strategy Brochure
Data Architecture Strategy BrochureAxis Technology, LLC
 
Regulatory & Compliance Account Opening
Regulatory & Compliance Account OpeningRegulatory & Compliance Account Opening
Regulatory & Compliance Account OpeningAxis Technology, LLC
 
Axis Technology - Consulting Overview
Axis Technology - Consulting OverviewAxis Technology - Consulting Overview
Axis Technology - Consulting OverviewAxis Technology, LLC
 

Plus de Axis Technology, LLC (20)

Entitlements Management Strategy-White Paper
Entitlements Management Strategy-White PaperEntitlements Management Strategy-White Paper
Entitlements Management Strategy-White Paper
 
Tile-based Navigation & Analytics-White Paper
Tile-based Navigation & Analytics-White PaperTile-based Navigation & Analytics-White Paper
Tile-based Navigation & Analytics-White Paper
 
Assessing the Value of Rich Internet-White Paper
Assessing the Value of Rich Internet-White PaperAssessing the Value of Rich Internet-White Paper
Assessing the Value of Rich Internet-White Paper
 
Solution Evaluation & Selection Brochure
Solution Evaluation & Selection BrochureSolution Evaluation & Selection Brochure
Solution Evaluation & Selection Brochure
 
Sensitive Data Assessment Brochure
Sensitive Data Assessment Brochure Sensitive Data Assessment Brochure
Sensitive Data Assessment Brochure
 
eGRC Strategy Brochure
eGRC Strategy BrochureeGRC Strategy Brochure
eGRC Strategy Brochure
 
Entitlement Management Brochure
Entitlement Management Brochure Entitlement Management Brochure
Entitlement Management Brochure
 
Data Architecture Strategy Brochure
Data Architecture Strategy BrochureData Architecture Strategy Brochure
Data Architecture Strategy Brochure
 
Data Governance Brochure
Data Governance BrochureData Governance Brochure
Data Governance Brochure
 
Regulatory & Compliance Account Opening
Regulatory & Compliance Account OpeningRegulatory & Compliance Account Opening
Regulatory & Compliance Account Opening
 
Client Connections
Client Connections Client Connections
Client Connections
 
Brokerage Executive Dashboard
Brokerage Executive DashboardBrokerage Executive Dashboard
Brokerage Executive Dashboard
 
Wealth Management
Wealth ManagementWealth Management
Wealth Management
 
IRA Simplification Project
IRA Simplification ProjectIRA Simplification Project
IRA Simplification Project
 
Data Management Strategy
Data Management StrategyData Management Strategy
Data Management Strategy
 
Joint Analysis Design
Joint Analysis DesignJoint Analysis Design
Joint Analysis Design
 
Enterprise Data Architecture
Enterprise Data Architecture Enterprise Data Architecture
Enterprise Data Architecture
 
Reference Data Management
Reference Data Management Reference Data Management
Reference Data Management
 
Axis Consulting Case Studies
Axis Consulting Case StudiesAxis Consulting Case Studies
Axis Consulting Case Studies
 
Axis Technology - Consulting Overview
Axis Technology - Consulting OverviewAxis Technology - Consulting Overview
Axis Technology - Consulting Overview
 

Dernier

Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.YounusS2
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
GenAI and AI GCC State of AI_Object Automation Inc
GenAI and AI GCC State of AI_Object Automation IncGenAI and AI GCC State of AI_Object Automation Inc
GenAI and AI GCC State of AI_Object Automation IncObject Automation
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdfJamie (Taka) Wang
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPathCommunity
 
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataCloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataSafe Software
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxGDSC PJATK
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UbiTrack UK
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Commit University
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.francesco barbera
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemAsko Soukka
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding TeamAdam Moalla
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopBachir Benyammi
 

Dernier (20)

Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
GenAI and AI GCC State of AI_Object Automation Inc
GenAI and AI GCC State of AI_Object Automation IncGenAI and AI GCC State of AI_Object Automation Inc
GenAI and AI GCC State of AI_Object Automation Inc
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation Developers
 
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataCloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptx
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystem
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 Workshop
 

Data Governance

  • 2. © Copyright 2014 Axis Technology, LLC Data Governance - About 2 A successful data governance capability requires a strategy to align regulatory drivers and technology enhancement initiatives with business needs and objectives, taking into account the organizational, technological and cultural changes that will need to take place. Framework Includes the organization and delivery of timely, accurate and secure information in support of business processes. Programs Need to be effective, efficient, sustainable and take into account organizational, technological and cultural challenges. Decision-making Processes gather data and organize it into the information needed to avoid risk and make sound business decisions. Big Data Addresses complex data challenges, enabling organizations to increase insight into risk, reduce processing costs, and meet strict regulatory deadlines.
  • 3. © Copyright 2014 Axis Technology, LLC Data Governance - Challenges • In the industry today, data management challenges are exacerbated for a number of reasons: – Enterprise data governance is a significant undertaking that requires cultural change. Technical capabilities, organizational readiness and data governance baseline all impact the ability to successfully roll out this program. – There are limited tools to help implement data governance policies and make it a sustainable program that ensure accurate secure data. – Organizations have created complex data mapping and transformation logic in order to create single points of entry and “trusted” sources of information. This has increased environmental complexity without necessarily improving the data quality. – Within finance and insurance industries, extensive acquisitions and corporate merges have lead to uncoordinated process and systems that span product lines, business lines and governance jurisdictions, intensifying the challenges of data governance. – Bank Secrecy Act (1970) – BASEL II Accord – Fair Credit Reporting Act (FCRA) – Federal Fair and Accurate Credit Transactions (FACT Act) Provisions – Fiduciary Confidentiality – Gramm-Leach-Bliley Act (GLBA-1999) – Payment Car Industry Data Security Standards (PCI DSS) – Sarbanes-Oxley Act (SOX-2002) – SEC Rule 17-a4, – UK Data Protection Act (DPA) – USA Patriot Act (2001) • Policies keep us in line with many important laws and regulations: 3
  • 4. © Copyright 2014 Axis Technology, LLC Transfer Knowledge Data Governance - Approach At Axis Technology, LLC we have helped organizations develop and execute their data management roadmaps that defines strategies optimized to each client’s unique situation. Define the problem Design the solution Build and implement roadmap Inspect current state A successful data governance program will enable your organization to realize value from its data. It will address risk, become a competitive advantage and work towards better relations with your clients. • Define the problem – define the high level strategy and scope. • Inspect the current state – understand the data and the business’ technical, cultural and organization capabilities and challenges • Design the solution – design an achievable solution incorporating best practices and applying it to the unique business environment and present options • Build and Implement roadmap/Optimize implementation – work with our partners to build and implement a roadmap that meets business goals • Transfer knowledge – ensure processes are in place and knowledge has been transferred to enable a sustainable execution 4
  • 5. © Copyright 2014 Axis Technology, LLC Data Governance - Expertise 5 The following is an example of how a bank’s complex data environment increases risk, the cost to do business and limits the ability to leverage the full value of the enterprise. The situation… In October 2009, the OCC required the bank to begin submitting a quarterly report outlining 35 data elements for commercial real estate loan across the enterprise with a $10 million or greater commitment. By 2Q 2011 this level of detail must be provided for all loans of $1 million or greater. The complexity… The data needed to generate this report resides on nineteen systems of record in the loan accounting system. While data fields in the various systems of record are similar, lines of business use the data fields differently - there is no protocol for common usage. The approach… An internal team partnered with Ernst & Young to assist in the production of the initial quarterly report for 3Q 2010. The process was manually intensive requiring the use of multiple Access and Excel files. All four reports to date have been submitted on time. The last two reports were accepted 100% fatal error free on first submission. The cost… The initial report cost $3.6MM to produce. Subsequent manual execution of this report has a cost of >$1.2MM. Automation of the report is not possible as all these systems define the elements differently. the report elements may change at any time and keeping them all in sync is a daunting task. The DMIS approach… DMIS will require the identification of key commercial real estate data elements and the description of what can populate those fields. Standardization of the key data elements will create efficiency gains and greatly reduce the cost of integrating information.
  • 6. © Copyright 2014 Axis Technology, LLC Customer Service Corporate Agility Corporate Decision Making Compliance & Risk Mgmt Cost Reduction Data Strategy & Accountability Data Security & Quality Data Governance - Drivers 6 An effective data governance program leads to a successful data management capability
  • 7. © Copyright 2014 Axis Technology, LLC Data Governance Maturity Levels Maturity CharacteristicsMaturity CharacteristicsMaturity CharacteristicsMaturity Characteristics Repeatable Establishing the Baseline Metrics Defined Self-monitoring & Reporting Progress Metrics Managed Sustainability and Maintenance Metrics Aware Information Landscape is not managed Maturity Level 4Maturity Level 3Maturity Level 2Maturity Level 1 Maturity Characteristics Optimized Prioritization and Improvement Metrics Maturity Level 5 Profiling or data quality measures of data elements are not in place or data quality standards are not published. Data is distributed on a reactive basis with little to no enterprise planning, control or governance. Scope of System Owners is defined, and stewards / owners are named. Executive level accountability is defined by Enterprise Governance. Local Data Governance bodies are chartered and routines are in place. Executive level accountability is not defined. Scope of System Owners (stewards / owners) are not defined or named. Enterprise and Local Data Governance sustainability routines are in place. Registration as a data provider is complete. All of the system’s business domains and provisioning roles are documented. The data provider assessment information is complete. Data provisioning and consumption occurs according to the domain roadmap. Provisioning governance is in place and drives ongoing funding and execution decisions. Data lineage is documented for all prioritized data flows involving the system. Target provisioning points are designated and a domain provisioning roadmap is in place. SLAs with data consumers are in place; all data flows into and out of system are documented. Projects comply with enterprise Data Provisioning Strategy Framework and Guidelines. Data quality goals are in place and drive remediation activities. A data quality response plan with defined thresholds for key business elements and data quality self-monitoring activities are defined and followed. Metadata is easily accessible across domains. The BDL is mapped to the CBL. Baseline documentation for data stores, data flows, and data element definitions are available. Documentation for data lineage, data stores and data element definitions are maintained and available to the enterprise. Data Dictionaries are governed. A Business Domain Language is governed and mapped to data elements. System characteristics are not defined or documented. Business, technical and operational metadata is not effectively cataloged. Accountability Metadata Data Quality Data Provisioning Key business elements are measured against data quality standards and data quality reports are published on an established measurement schedule. Key business elements are identified and data quality standards are created for them based on analysis of profiling or data quality measurement results. 7
  • 8. © Copyright 2014 Axis Technology, LLC • Cost – Increased efficiency reduces costs – Reduce redundant systems and associated operating costs – Reduce time and effort needed to verify and correct poor data • Regulatory – Reduce risk – Improve compliance • Opportunities – Driving business growth – Delivering improved client service – Providing prompt and accurate responses to regulatory requests – Delivering increased business intelligence from consistent and aggregated data – Information sharing and coordination across organizations. – Cross-selling – Segmenting and targeted service opportunities Data Governance - Benefits 8
  • 9. © Copyright 2014 Axis Technology, LLC www.AxisTechnologyLLC.com 70 Federal Street Boston, MA 02110 (857) 445-0110 9

Notes de l'éditeur

  1. 8/19/2014
  2. 8/19/2014