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Data Governance at Guide Dogs




Presented by:   Jane Huntington - Data Manager
                Maria Novell - Head of Individual Giving
Introducing…




Data Governance

 Why..

 How..

 Who..

 Where are we..

 Where next..




                   2
Data Governance Definition




                             3
Why?
Data Governance




                  4
.     Fast growing and multiple fundraising, campaigning and marketing
       programmes;

   Service user information, HR systems, finance systems, fundraising CRM and
    operations systems;

   Multiple office locations;

      How does Guide Dogs ensure its data is being dealt with in a
      compliant and comprehensive way across the organisation?
   Data Governance will set policy that the organisation will follow as it
    establishes architectures, implements best practices, and addresses
    requirements.

   Governance can be considered the overall process of making this work.




                                                                              5
   we need to do more than manage data;

   we need a governance system that sets the rules of engagement for
    management activities




                                                                        6
 New CEO



 Guide Dogs Change Programme
                                7
 New CIO




             IT Strategy
                            8
Results from Data Discovery Exercise




                                       9
Some issues:
 Over 30 data collection points maintained in 3 or
  more Guide Dogs central systems
 People Data managed separately in at least 6
  systems – Individuals on more than one system
  not recognised as such
 Overall quality of Guide Dogs data unknown
 Security needed tightening in some systems


                                                  10
Other areas to consider…

 Policies and procedures

 Compliance

 Culture of awareness

 Information and principles



                               11
How?

Data Governance Board




                        12
May 2011
First Data Governance Board meeting held




                                           13
Terms of Reference
The Governance Board will:

 Identify and Allocate or Resolve Issues

 Agree High Level Definitions, for, eventually, all data elements

 Agree Criteria for Acceptable Data Quality

 Review Results of Data Quality Monitoring

 Manage Stakeholder Care and Communications

 Agree Data Security Requirements i.e. the roles that should have access rights to
  data, becoming the ultimate ‘sign off’ for access requests (delegated for Business as
  Usual)

 Ensure and Monitor Compliance with Legislation - Confirm the data sensitive to
  legislation (e.g. Data Protection Act, Records Retention or Payment Card Industry
  Data Security Standards) and agree how it is managed
                                                                              14
DGB Meetings

 Agenda

 Working groups

 Presentations, feedback and sign off

 Data related activities (to do list!)



                                          15
Issue                                                                                                   Recommended Resolution               Decision Made / Priority Complex Target
                    Issue                  Description                             Impact                                                                                                Owner     Status
     Nbr                                                                                                          Action(s)                         Required     (H,M,L) (H,M,L)   Date

1           General
                                                                                                       Check if there are real requirements,
                                                                                                       if so investigate reasons for not         We will actively
                            Pockets of spreadsheets exist (e.g.
                                                                        Uncontrolled data held outside adding to core systems. If the            'hunt down'
                            breeding centre) because:
                                                                        of systems has potential       functionality is not available plan the   occurences in
                            - Data is not trusted
1.2         Spreadsheets                                                security, DPA and records      provision by including requirements in    Finance,               H   M          JC        Ongoing
                            - Required functionality apparently does
                                                                        retention exposure. Accuracy enhancements or new systems, if not         Operations,
                            not exist
                                                                        is also suspect                use training and or persuasion! Clean     Fundraising, HR and
                            - End user doesn’t trust security
                                                                                                       and add data to the appropriate           External Comms
                                                                                                       data store
2           Data Quality
                            No data quality audit however, in GDI
                            data changes applied are audited as a                                                                                Investigate current,
                                                                                                         Define Quality measures and
                            result of triggers on most tables, Fetch has                                                                         identify gaps, cross
                                                                         Guide Dogs cannot rely on the introduce data audits to measure
                            date and who changed (and sometimes                                                                                  functional
2.1         Audit                                                        accuracy of data as there is no quality and introduce a link to                                H   M          JC        In progress
                            created) on all tables, some have history                                                                            requirements and
                                                                         reliable way of measuring it.   individuals appraisal. Include as an
                            to show what it was changed from. There                                                                              measures for
                                                                                                         objective in new job specs
                            is no apparent sanction over poor data                                                                               reporting
                            entry.
            Data
4
            Protection
                           Subject Access Requests are still being
                           held on a spreadsheet (accessed by NG
                           and JF).
                           There was an initial request to get this
                                                                        Lack of security, backup
            Subject Access information stored on Ascent, however                                        Investigate the best place for this                                                      Outstandin
4.7                                                                     routines etc make this data                                                                     L   M          NG
            Request        because of the effort and the number of                                      data and migrate it                                                                      g
                                                                        vulnerable
                           requests that are submitted in a year
                           (around 10-20), a recommendation was
                           made for users to continue to use the
                           spreadsheet.
            DPA Breaches How should we classify and report on DPA                                       Review current criteria, enhance as                                                      Outstandin
4.9                                                                     Regulatory exposure                                                                             M   M          NG
            Reporting      breaches                                                                     necessary and update reports                                                             g
                           Personal Details are emailed to and from
                           Finance
                           - Payroll summary from HR to Finance for
            Emailed        sign off                                     Regulatory and reputational     Replace each type of mail with a         Allocate and
4.10                                                                                                                                                                    M   L
            Personal Data - Supplier (Employee Expenses) Bank           exposure                        more secure option                       prioritise
                           Details confimed back to supplier
                           - Bank Details Changes sent from HR to
                           Finance to update SAGE
            Records
5
            Retention




                                                                                                                                                                                                       16
Who?

Data Governance Board




                        17
 Chief Information Officer
 Data Protection Officer
 Head of Legal
 Safeguarding Manager
 Business users – all areas; Finance, HR,
  Fundraising, Marketing, Operations
 Information Systems
 Database Managers


                                             18
Where we are now…

 Data Governance Boad




                        19
Complete     On-going         Outstanding

Compliance                             Subject
                      Data             Access
                      Audit            Requests
     DPA
     Training

                Record                  Data
                Retention               Breach
                Management              Procedure


   PCI
                                      Volunteering
   Compliance
                                                     20
Where next?
Data Governance Board




                        21
 Introduction of Data day
 Planning to run the ICO Think! Privacy campaign
 Suppressions Management
 Debating the day to day management of each
  of the data governance elements
 New streamlined board structure



                                                22
Where do you start?

 Data Governance Board




                         23
   Dama – UK Chapter http://www.damauk.org/
   Audit your existing processes
   Be clear about what and why
   Identify your risks and challenges
   Prioritise




                                               24
Thank you…




             25

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Guide dogs

  • 1. Data Governance at Guide Dogs Presented by: Jane Huntington - Data Manager Maria Novell - Head of Individual Giving
  • 2. Introducing… Data Governance  Why..  How..  Who..  Where are we..  Where next.. 2
  • 5. .  Fast growing and multiple fundraising, campaigning and marketing programmes;  Service user information, HR systems, finance systems, fundraising CRM and operations systems;  Multiple office locations; How does Guide Dogs ensure its data is being dealt with in a compliant and comprehensive way across the organisation?  Data Governance will set policy that the organisation will follow as it establishes architectures, implements best practices, and addresses requirements.  Governance can be considered the overall process of making this work. 5
  • 6. we need to do more than manage data;  we need a governance system that sets the rules of engagement for management activities 6
  • 7.  New CEO  Guide Dogs Change Programme 7
  • 8.  New CIO  IT Strategy 8
  • 9. Results from Data Discovery Exercise 9
  • 10. Some issues:  Over 30 data collection points maintained in 3 or more Guide Dogs central systems  People Data managed separately in at least 6 systems – Individuals on more than one system not recognised as such  Overall quality of Guide Dogs data unknown  Security needed tightening in some systems 10
  • 11. Other areas to consider…  Policies and procedures  Compliance  Culture of awareness  Information and principles 11
  • 13. May 2011 First Data Governance Board meeting held 13
  • 14. Terms of Reference The Governance Board will:  Identify and Allocate or Resolve Issues  Agree High Level Definitions, for, eventually, all data elements  Agree Criteria for Acceptable Data Quality  Review Results of Data Quality Monitoring  Manage Stakeholder Care and Communications  Agree Data Security Requirements i.e. the roles that should have access rights to data, becoming the ultimate ‘sign off’ for access requests (delegated for Business as Usual)  Ensure and Monitor Compliance with Legislation - Confirm the data sensitive to legislation (e.g. Data Protection Act, Records Retention or Payment Card Industry Data Security Standards) and agree how it is managed 14
  • 15. DGB Meetings  Agenda  Working groups  Presentations, feedback and sign off  Data related activities (to do list!) 15
  • 16. Issue Recommended Resolution Decision Made / Priority Complex Target Issue Description Impact Owner Status Nbr Action(s) Required (H,M,L) (H,M,L) Date 1 General Check if there are real requirements, if so investigate reasons for not We will actively Pockets of spreadsheets exist (e.g. Uncontrolled data held outside adding to core systems. If the 'hunt down' breeding centre) because: of systems has potential functionality is not available plan the occurences in - Data is not trusted 1.2 Spreadsheets security, DPA and records provision by including requirements in Finance, H M JC Ongoing - Required functionality apparently does retention exposure. Accuracy enhancements or new systems, if not Operations, not exist is also suspect use training and or persuasion! Clean Fundraising, HR and - End user doesn’t trust security and add data to the appropriate External Comms data store 2 Data Quality No data quality audit however, in GDI data changes applied are audited as a Investigate current, Define Quality measures and result of triggers on most tables, Fetch has identify gaps, cross Guide Dogs cannot rely on the introduce data audits to measure date and who changed (and sometimes functional 2.1 Audit accuracy of data as there is no quality and introduce a link to H M JC In progress created) on all tables, some have history requirements and reliable way of measuring it. individuals appraisal. Include as an to show what it was changed from. There measures for objective in new job specs is no apparent sanction over poor data reporting entry. Data 4 Protection Subject Access Requests are still being held on a spreadsheet (accessed by NG and JF). There was an initial request to get this Lack of security, backup Subject Access information stored on Ascent, however Investigate the best place for this Outstandin 4.7 routines etc make this data L M NG Request because of the effort and the number of data and migrate it g vulnerable requests that are submitted in a year (around 10-20), a recommendation was made for users to continue to use the spreadsheet. DPA Breaches How should we classify and report on DPA Review current criteria, enhance as Outstandin 4.9 Regulatory exposure M M NG Reporting breaches necessary and update reports g Personal Details are emailed to and from Finance - Payroll summary from HR to Finance for Emailed sign off Regulatory and reputational Replace each type of mail with a Allocate and 4.10 M L Personal Data - Supplier (Employee Expenses) Bank exposure more secure option prioritise Details confimed back to supplier - Bank Details Changes sent from HR to Finance to update SAGE Records 5 Retention 16
  • 18.  Chief Information Officer  Data Protection Officer  Head of Legal  Safeguarding Manager  Business users – all areas; Finance, HR, Fundraising, Marketing, Operations  Information Systems  Database Managers 18
  • 19. Where we are now… Data Governance Boad 19
  • 20. Complete On-going Outstanding Compliance Subject Data Access Audit Requests DPA Training Record Data Retention Breach Management Procedure PCI Volunteering Compliance 20
  • 22.  Introduction of Data day  Planning to run the ICO Think! Privacy campaign  Suppressions Management  Debating the day to day management of each of the data governance elements  New streamlined board structure 22
  • 23. Where do you start? Data Governance Board 23
  • 24. Dama – UK Chapter http://www.damauk.org/  Audit your existing processes  Be clear about what and why  Identify your risks and challenges  Prioritise 24