Data Quality Strategy 2006/2008

Transcription

1 Scarborough Borough Council Data Quality Strategy 2006/2008

2 Data Quality Strategy Introduction... 1 Roles and Responsibilities... 1 Collection of Data... 2 Verification of Data... 4 Validation of Data... 5 Data Security... 7 Presentation and Reporting of Data... 8 External Auditing Procedures... 9 Delivery Plan Appendix 1 Data Quality Pro-forma Appendix 2 Data Quality Process Mapping Appendix 3 Data Quality Delivery Plan

3 Introduction The purpose of this Strategy is to detail the Council s approach to the development of Data Quality procedures for performance information. information and its accuracy is increasingly important as it is used to monitor and assess the performance of Services and the Council as a whole by Members, officers external organisations and inspectors. information is used to assist in developing priorities, maximise use of resources and inform decisions, and the accuracy and quality of Indicator (PI) data is therefore paramount. The Council has a Data Quality Assurance procedure in place for its Management Framework (PMF) which was approved by Cabinet in There is a need to continue to update the Data Quality procedures in line with best practice and Audit Commission Key Lines of Enquiry (KLOE). This Strategy sets out the current Data Quality procedure, responsibilities, systems and processes required to deliver quality information and end-to-end process from the collection of PI data to its verification, validation and reporting. The strategy also details how this process is to be developed further and includes a delivery plan detailing the actions to be carried out to further develop and enhance existing data quality procedures and meet current best practice. Roles and Responsibilities The importance of maintaining quality data is seen as a priority for the Council and this is reflected in the Council s Corporate Plan under its Aim 5 Improving the Council, which has a target for March 2007 develop a strategy for data quality which sets out objectives and a delivery plan. The requirement to maintain PI data quality is included in Service Business plans which contain a statement on how PI data quality is assured. Where required, separate performance targets may be included to monitor performance in respect of data quality. Data quality is the responsibility of every Council employee who enters, extracts or analyses data from any of the Council s information systems and records. Every employee should be aware of their role in the process. Managers are responsible for data quality for all the systems under their control. Currently training and support to employees on data quality is provided by Policy and through 1 to 1 meetings, coaching and mentoring. In order to develop the process further, additional data quality training will be provided to all responsible officers, deputies, data collection officers, other employees and Heads of Service using a range of methods including programmed presentations, workshops, coaching and mentoring. This training will be reviewed on an annual basis. Individual officers within Service areas are responsible for the collection and verification of PI data. Responsibility for data quality will be reflected in the job 1

4 specifications of the staff concerned. The Council operates a staff appraisal scheme and this is to be developed, with data quality forming part of the appraisal for those staff involved in the collection and reporting of PI data. The Council has a Cabinet Portfolio Holder for Management, the role of which will be enhanced further to incorporate data quality as the delivery plan is rolled out. In addition, Corporate responsibility for data quality at an operational level is allocated to Policy and which provides support to Services on Data Quality matters through a range of methods. This includes the provision of dedicated support officers to Heads of Service and their Managers, production of guidelines and procedures, and training on Data Quality. The current methods used by Council Members, senior managers and staff in ensuring the collection, verification and reporting of quality data and proposed developments to the process are detailed in this strategy. Collection of Data information is used across all Services to underpin the continuity and quality of service provided. This creates pressure to improve the quality and standardisation of existing information collected. High quality data is vital for the Council s continual improvement and, for this purpose, the goal to achieve 100% accuracy, 100% of the time is sought. Quality Assurance therefore needs to be part of this overall process that seeks to improve organisational performance across a wide range of disciplines. The current PI data collection and reporting process is based on each of the Best Value Indicators (BVPI s) having its own Orange file which contains the definition, calculation method and the format the indicator is to be reported. The files also include guidance notes on the collection and calculation of the BVPI, a process map detailing the steps involved, along with supporting information and calculation methods used so that calculations can be re- tested using the evidence to support the calculation. The Orange files are held and maintained by the Services responsible for the collection of the PI data. Through the work already carried out on the PMF, all officers know their day-to-day job contributes to the calculation of performance indicators and how lapses can either lead to errors or delay reporting, both of which limit the ability to manage performance effectively. It is therefore important that all officers responsible for entering PI supporting data are equipped with the right guidance, procedures are in place and adequate training is provided on systems to ensure that data is entered correctly. Training provides an understanding of how PI s are calculated from the data input by knowledge of what the numerators and denominators are and how they are recorded and derived from the Source systems. Technical guidance on the PI's and how they are calculated is also made widely available as part of this knowledge base. 2

5 The Monitoring Group (PMG), which meets quarterly and consists of Officers responsible for PI data and systems, is used as a mechanism to discuss and action all issues surrounding the collection and reporting of performance data, including data quality. Where issues with regard to data collection, data quality, guidance and procedures are raised, action plans will be developed and implemented to resolve these issues. The meetings will also be used to update information on data quality, share best practice and deliver training and guidance. It is important that officers have clear guidelines and procedures for using systems and are adequately trained, to ensure that information is being entered consistently and correctly. This is achieved/supported in a number of ways: National BVPIs have guidelines to aid the calculation of the Indicators. These are held on the individual Orange files and by Policy and. Local Indicators-Clear definitions and direction of travel will also be developed for Local Indicators, and systems put in place to aid collection and reporting of these indicators. A system of Blue files will be introduced which encompasses procedures used in the Orange files. Procedures and guidance notes are designed to enable other officers to carry out the calculation/ verification and presentation of performance information in the absence of the nominated lead officer. Procedure notes are held in the Orange/Blue files and available electronically on the Councils intranet. Policy and provide dedicated support to Service Managers on performance matters. Every BVPI has a nominated lead officer who is responsible for collecting and reporting the information and maintaining the orange files for those PI s under his/her are of responsibility. He/she is either a Business Unit Manager or administrative officer from the Service area. This ensures that there is consistency in the application of definitions and use of systems for providing the data. Each nominated officer is kept up to date of any changes in definitions that may occur from time to time. The nominated lead officer is required to ensure that: The Orange file system is maintained and all relevant information is held on file; Information held and reported meets the Council s Data Quality procedure; The timetable for PMF reporting is adhered to; Information reported through the PMF is correct and supporting information/ calculations are available; There is security of access/amendment to data; Periodic tests of the integrity of data are undertaken; Information management and support is available to users; System upgrades are made where necessary (including to accommodate amendments to PI definitions); The system meets managers information needs; 3

6 The system can produce adequate audit trails; Actions recommended by system reviews (e.g. by the external auditors) are implemented; A set of written procedures (user guide) exists for the purpose of extracting performance information; and A business continuity plan for the system exists to protect vital records and data. As part of the development of the current process, there will be a nominated officer who can deputise in the lead officer s absence. Given the increasingly demanding timescale for performance reporting, the Council cannot afford to have systems lying dormant during unplanned absences. It is, therefore, also essential that written procedures exist to enable another officer can carry out the procedures essential to providing performance information if the officer who normally performs these duties is absent. It will be the nominated lead officer s responsibility to ensure his/her deputy is fully conversant with the PI data collection and reporting methods. The Council recognises the importance of the use of local performance indicators as a management tool by Services and for use as feeder PI's for the national BVPIs. The Business Planning process has identified a number of key performance indicators, both local and national, that evidence the performance of Services and their objectives. The process for collection and reporting of BVPI s will be applied to local PI s and the data quality process detailed in this strategy will also be applied. To distinguish between BVPI s and Local PI calculations, definitions and supporting information for Local Indicators will be held on Blue Files. Verification of Data Individual Heads of Service carry overall responsibility for the quality of data collected within their Service areas, with Managers and nominated officers ensuring data verification is undertaken and that procedures are regularly reviewed and updated. Verification procedures should exist close to the point of data input. The frequency of verification checks need to be aligned with the frequency of data reporting (e.g. those Services processing large volumes of data on a daily basis will need to ensure an appropriate level of verification for the volume of data entered). In all cases responsibility for undertaking data verification is with each of the Services concerned. Support to the process is provided by Policy and which supplies advice and guidance on data verification and procedures to be followed. The verification system consists of a review of recently entered/updated data against expectations or against the source documents. Depending on the complexity of the system, it might be necessary to undertake more thorough verification tasks, such as: 4

7 Data cleansing (e.g. to remove duplicate records or to update incomplete or inconsistent data; Sample checks to eliminate reoccurrence of a specific error (e.g. checking one field of data that is pivotal to a PI; Test runs of report outputs, to check the integrity of the query being used to extract data; Spot checks (e.g. on external contractor information). Particular attention needs to be paid to data provided by external sources. A number of PIs are calculated using information provided by third parties/contractors and the Council s intention is to work with contractors to ensure that such data is accurate and timely and that the contractor is aware of their responsibilities for data quality and the process by which the Council will require the information to be provided, format and verification procedures. In may not be possible to alter existing contracts to ensure that the contractors are fully committed to providing accurate data information and so the data supplied will be treated as high risk. Systems will be put in place through Service Level Agreements (SLA s) to check and monitor the data supplied by external contractors. Under the current Data Quality Assurance system information supporting the PI calculation is held on the Orange Files which assists in the independent check of the data and calculation to be carried out. The supporting information is in the form of spreadsheets, reports etc. Further background/supporting information is held on other systems e.g. Payroll, Benefits, Waste dataflow. In future to ensure quality of data, reference will also be made in the Orange file on the sources of data and where practical copies held on the file in electronic format. In some cases on site verification of information could be carried out through random checks of the third party records, e.g., Yorkshire Coast Homes, and or through reference to another organisation s documentation, e.g. Police IQuanta crime performance data and this will be reflected in future SLA s. In all cases the where a verification check has been carried out, the appropriate proforma held on the Orange/Blue files will be completed detailing dates, checks carried out and results. Validation of Data The existing Data Quality Assurance process requires that an independent evaluation and validation of the PI data is carried out and procedures are in place to monitor data quality. To meet these requirements, validation of the PI data is currently carried out through a process that requires Heads of Service to approve and validate the PI data being reported by signing off the data. This is through meetings with the Manager and the nominated officer at which the calculations and supporting data are checked and validated and the relevant Data Quality proforma completed and signed and held on the Orange File (see Appendix 1). 5

8 Independent checks of the Orange files are undertaken by Policy and to ensure that the processes are being followed, the relevant proforma is being completed and the files contain the information for the calculations and supporting data. The current process is based on a random sample of validation checks by Policy and and, to enhance the current systems, a Risk Assessment process is to be adopted to identify risks and areas for improvement, the purpose being to target resources at the areas that require most attention. Policy and, in consultation with Services, will maintain the risk assessment. Areas deemed high-risk in the provision of data may be subject to more frequent risk checks of data. High risk conditions will include: A high volume of data/transactions; Technically complex PI definition/guidance; Problems identified in previous years; PI s that have been previously qualified; Inexperienced staff involved in data processing/pi production; System being used to produce a new PI; Known gaps in the control environment; Changes to PI definitions which are not implemented by the Service. The validation checks by Policy and will continue to be carried out at least twice a year on all BVPI s. Further validation checks will be made in areas of high risk or where data, supporting information and its presentation is found not to be meeting the standard set by the Council. A final check of all files will be made after the year-end outturns are received, during April and May, before the Councils Annual Report (previously Best Value Plan) is published at the end of June each year. In order to support the data verification and validation processes, tools such as an information process map will be produced in respect of each system used to provide PI data. This maps out the progress of the information from the input to output stages, and can be used to document the people, processes and tools that exist to ensure the expectations and quality assurance are met at every stage. This will assist in the identification of risks within the process and facilitate the production of actions and action plans for improvement in areas such as systems, processes and training etc. Any issues/errors that are found as part of the validation checks will be discussed with the nominated officer and recorded on a proforma with actions to be undertaken to rectify the matter. These issues/errors will then be reported to the Heads of Services through the quarterly 1 to 1 meetings, PMG,and in cases where the Data Quality issue relates to a Corporate matter e.g. sickness they will be reported to CMT. The same validation procedure will apply to the Blue file system for local performance indicators with the procedures being mapped and recorded, and 6

9 random checks undertaken, the level of which will be dependent on a risk assessment using the same matrix as BVPI s. Data Security Security of data is important, particularly as the majority of PI and supporting data is stored on computers across the Council. There are systems in place to ensure that the quality of data is secured and that it cannot be manipulated, subject to unauthorised data changes or accessed by persons who are not responsible for maintaining the information. The Council s data recovery procedures for IT systems also ensure that in the event of a failure the majority of data can be recovered. Details of the processes that are in place and proposals for their development are as follows. The Corporate Management system is maintained on a spreadsheet held centrally by Policy and and is password controlled and validation checks are being integrated to reduce potential error. Key systems are subject to appropriate access controls. Where used, important spreadsheet systems are protected with restricted access. Business continuity arrangements are in place through a third party specialist and procedures are documented. Key data and documentation to secure system recovery is stored off site. Regular testing of recovery of key systems takes place and results recorded. System back ups are taken daily and stored off site. A number of individual service areas have business continuity plans and this is to be developed corporately. Access controls exist for the Council network and all key systems with the relevant procedure notes. Access privileges are managed by individual services and physical controls to the main computer suite are in operation. All the Council s servers are backed up nightly, either to individual tape drivers attached to the server or to a multi-tape autoloader. The majority are full back ups with a few incremental backups in place due to the amount of data. Having increased the capacity of the Storage Area Network (SAN), a review is to take place of the backup strategy to create a more effective solution. It is proposed to centralise the majority of backups allowing it to be managed more effectively, improving backup consistency and resilience and reducing the time to recover data. The Council has a disaster recovery contract with a third party which covers a number of servers. The contract provides replacement kit in the event of a disaster or incident, which leads to the equipment been unstable and includes the provision of a mobile computer room, which will arrive on site within 24 hours of a problem with a number of Servers. Regular tests are carried out to ensure that sufficient backups and media are available to recover systems. 7

10 All users are issued with a user ID to enable access to the Council s network and this is password protected. Any systems they use require them to have a second user ID password. The computer suite has a door control system that only allows access to authorised employees. It has air conditioning units to ensure the temperature remains constant and within operating limits for the equipment. Presentation and Reporting of Data All PI data is recorded on the Council s PMF reporting system on a quarterly basis. In order to ensure that members and key decision makers are presented with the most up to date information, it is important that the data is collected as timely and as effectively as possible and a PMF reporting timetable is in operation detailing the processes involved and timescales. Data is collected using the PMF Indicator distribution sheets supplied to each nominated officer every quarter from Policy and. Data is transferred on to the main PMF reporting system maintained by Policy and, during which time verification processes are carried out. In line with best practice variations in excess of + or 10% are identified and information sought from Services as to the reason for the difference in performance. In the majority of cases, the reasons given for the variance relate to operational issues however, should the response identify issues with data quality, action will be taken to rectify and resolve the issue. Every quarter 1 to 1 meetings with Heads of Service take place to discuss Finance and. Information detailing the outturn for each quarters PI s are presented to the Strategic Director of Corporate Services and Head of Policy and with a trend analysis and performance gap. Discussions take place on each of the PI s under the control of the Head of Service and actions are agreed. Officers from Policy and attend all the Council s management and team meetings on a quarterly basis and give reports on performance and for discussions on matters relating to data quality. Quarterly reports are presented to Cabinet, Corporate Strategy Group (CSG) and Overview and Scrutiny Committees, detailing Service performance for each quarter, direction of travel and quartile data (where available). Any issues around data quality will also be detailed in the reports where information being presented is based on estimates, trends, incomplete data, third party information (where not complete). Where reports reflect data quality issues, an assessment of the level of risk associated with the means by which the data is calculated and how it affects the information being presented will also be included, i.e., High/ Medium/Low. On a 6 monthly basis, each Service is subject to review at a Strategic Review Meeting led by the Chief Executive, Strategic Directors and Head of Policy and. Each Head of Service is required to present a report using a template detailing performance issues and progress against key initiatives. This process is being developed further as part of the Council s Business Planning process which includes the production of Critical Success Factors (CSF s) for each Service area. The CSF s contain information on BVPI s, Local PI s, delivery and financial 8

11 efficiency targets and these are reflected in the Service plans. Heads of Service will be required to report progress against the CSF s in the 1 to 1 meetings and Strategic Review meetings. In these cases the information being presented will be required to comply with the Council s data quality procedures A range of data is required by external organisations, Government Departments and inspection bodies which normally have a timetable for publication and method of presentation. All performance information should be available in time for management assessment, verification and action before presentation/publication. One mechanism for reporting to the public and partner organisations on performance is through the Annual report (formerly BVPP) which is produced on an annual basis and contains details of the year end figures for BVPI s and Local PI s, comparisons to previous years and targets for the next 3 years. The Annual report is made widely available to residents and partner organisations and available electronically. All PI data contained in the Annual Report and any similar reporting procedures that may be introduced in the future are subject to the procedures detailed in this strategy ensuring that data is supported by a complete audit trail, subject to rigorous verification and approved at a senior level. External Auditing Procedures information is increasingly being used by external bodies to assess performance as part of, or as an alternative to inspection, and this places greater emphasis on data quality and the accurate reporting of data. Best Value Indicators (BVPI s) are audited on an annual basis by the Audit Commission. External auditors require assurance that performance information is accurate. There is increasing emphasis on data quality and the external audit approach of checking calculations and supporting information is developing into a process based on scrutinising systems, controls and source data. When information is presented for external audit, the Orange/Blue file system will be used which contains the calculation, working papers etc as detailed previously in this strategy. A set of quality pro-forma accompanied by a full audit trail, held in an Orange/Blue file must be maintained and presented on request for any PI subjected to external audit. The file needs to include: The calculation of the performance figure; System notes; Explanation of any variance from the previous year; Documentation supporting any sampling/audit checks; Supporting information (e.g. spreadsheet, database, screen dumps), or a full description of where the supporting information is kept; Confirmation from external organisations that the information they provided is in accordance with the PI definition and calculations can be supported. 9

12 The file will be made available and maintained throughout the year for internal/external inspection and review. The nominated lead officer or his/her deputy and Heads of Service may be required to participate in an interview during the audit to answer any questions, obtain any further information etc. Following the Audit; a report is produced and; where the Audit report makes recommendations re collection/presentation of data, a set of actions will be produced by the Service working with Policy and to ensure the matter is addressed. Policy and will monitor the implementation of these actions and the outcomes. Delivery Plan This strategy identifies a number of procedures are already in place throughout the Council that ensure Data Quality. There is a need to further develop these systems in line with best practice. This strategy details those areas where further development is required to existing systems and procedures in order to ensure that quality data is being produced. A chart showing the stages is provided in Appendix 2. The Delivery Plan is summarised in Appendix 3 and progress will be reviewed internally on an annual basis by Corporate Management Team (CMT). PMG and the Audit Committee and externally by the Audit Commission. Draft proposals from the Governments white paper show that from 2008 there may be changes to the performance framework for District Councils at which time this strategy will be further reviewed to reflect any changes that are introduced at National level. 10

13 Management Framework Data Quality DQ6 Appendix 1 Pro-forma for Best Value Indicators This pro-forma is part of the Orange Files Quality Assurance system for auditing performance data and the calculation of BVPIs. This pro-forma is to be completed for each BVPI by the Nominated Officer on an annual basis and returned to the Policy and Service (PPS). 1. Indicator Reference Details BVPI Ref. No. BVPI Indicator Title/Description 2. Final Outturn Please indicate the final out-turn for this performance indicator that will be published in the BVPP and returned to the Audit Commission. Actual (2005/2006) Actual (2006/2007) Target (2006/2007) 3. Calculation and verification of the PI Quality Check The information from which the calculation is based has been subjected to regular checks? The indicator has been correctly rounded to the number of decimal places as defined in the guidance? Copies of all supporting information and working papers are included within the Orange File? Please attach a separate sheet that shows detailed calculations of the BVPI(s). Where appropriate, the calculation should indicate the numerators and denominators used for the calculation? 4. Targets for the next 3 years Targets must be provided for this indicator for the next 3 years for inclusion in the Annual Report (BVPP). Targets should identify continuous improvement and where applicable seek to achieve the Top Quartile Year 2007/ / /10 Target 11

14 5. Responsible Officer Confirmation I have completed the pro-forma as fully as possible supplying details of calculations used for the BVPI together with supporting evidence. Quality Assurance checks have been undertaken to confirm the quality of data throughout the year, details of which are held on the orange file and any actions arising from the checks have been implemented. I confirm that the performance indicator has been calculated using definitions and guidance provided by the DCLG and taken into account any amendments in newsletters and updates by the Audit Commission. Name Signed Date 6. Approval By Head of Service I certify that I am responsible for putting in place appropriate performance management and internal control systems from which the information given in this form have been derived. To the best of my knowledge, I am satisfied that the BVPI figure is correct, information and forecasts given in this form are accurate and complete, supporting information can be provided and the figure is produced in accordance with the Council s Data Quality Procedures. Name Signed Date Please return this form, to the Policy and Service by 31 st May. 7. Receipt by Policy and Pro-forma received by the Policy and on: Name Signed Date 12

15 DATA QUALITY PROCESS Appendix 2 Annual Report External audit of the Annual Report and PI data Strategic Review Meetings (SRM) on performance Reporting of PI data to Cabinet, O&S and Audit Committee Management /Team Meetings Validation of data by Heads of Service and Policy and Monitoring Group (PMG) 1 to 1 meetings with Heads of Service Verification of data Local Indicators (LPIs) Quarterly collection of of PI data from services National Best Value Indicators (BVPIs) 13

16 Data Quality Delivery Plan 2006/07 Appendix 3 Ref Action Objective Responsible Timescale Officer CORPORATE 1 The Head of Policy and to be given strategic responsibility for Data Quality To ensure an individual at top management level has overall responsibility HPP Dec 06 2 The role of the Portfolio Holder with responsibility for Management to be developed to be the member lead for Data Quality 3 Service Plans to include data quality issues and how data quality will be addressed through data cleansing. for data quality To ensure there is a Member lead for Data Quality issues and this role is undertaken effectively Data quality is linked to Service aims and objectives HPP May 07 HPP/SDCS Mar 07 DATA COLLECTION 4 Orange and Blue file process to be fully documented 5 A register of nominated lead officers and deputies to be maintained. All staff have access to procedures and guidance Each Service is assigned data quality specialists Which are responsible for ensuring compliance with relevant procedures Corporate Manager Corporate Manager Mar 07 Dec 06 6 Roll-out of QA process to Key Local Indicators (LPIs) through Information on the performance of Corporate Manager Mar 07 14

17 Ref Action Objective Responsible Officer Blue File system. Key Local PI s is subjected to the same rigorous procedures as National BVPI s 7 Processing mapping and There are Corporate detailed procedure notes procedure to be developed for all notes/ Manager BVPIs, to formalise and manuals in document all collection place for all and verification/validation performance procedures undertaken. systems and these are available to all staff and external 8 PMG agenda to include Data Quality as standing item and to report, review and monitor Data Quality procedures and policies 9 Job Descriptions to be reviewed and incorporate responsibilities for data collection and data quality for key people within Service areas. inspectors Issues relating to Data Quality are considered and reviewed by those charged with the collection of Data Roles and responsibility below strategic level are clearly defined and applied consistently Corporate Manager Timescale Mar 07 Oct 06 Meeting and thereafter HHR Mar 07 VERIFICATION OF DATA 10 Risk matrix to be developed for BVPI s Procedures are in place that allocate resources to area of high risk Corporate Manager Dec 06 15

18 Ref Action Objective Responsible Officer 11 Service Level Agreements to be introduced for third party data providers A formal set of procedures is in operation which sets out the Data Quality requirements from third party organisations Corporate Manager/ HEHHS/HReg /HSS Timescale Mar External checks of third party information to be recorded VALIDATION OF DATA 13 Orange File process to include records of data validation by Service areas. Data validation checks made by Services to be fully documented in Orange File. 14 QA checks to be carried out to ensure all documentation is applied to Orange/Blue files and that QA pro-forma s are fully completed. There are processes in place to validate third party data There are formal processes in place that record and allow external scrutiny of all validation checks There are formal processes in place that record and allow external scrutiny of all validation checks HEHHS/HReg /HSS All Heads of Service Corporate Manager Comm. Dec 06 Dec 06 Comm. Dec 06 and ongoing TRAINING ON DATA QUALITY 15 Formalised training in respect of data quality to be provided to PMG and to staff involved in the collection and collation of data from which performance data is derived. All relevant staff have been trained and have the necessary skills in collection, and analysis of data Corporate Manager Mar 07 16

19 Ref Action Objective Responsible Officer 16 Corporate There are Corporate Officers to record ad-hoc ongoing data quality training and corporate Manager mentoring provided. arrangements in place that supplement formal training which can be adapted to respond to 17 Data Quality to be incorporated into the employee appraisal process. DATA SECURITY 18 Backups of computerised data to be centralised in the IT Section to allow for data recovery. changing needs Data quality standards are set and staff are assessed against these. To ensure that all data from performance systems identified as business critical can be recovered Timescale Dec 06 HHR Mar 07 IT Manager Mar 07 REPORTING OF DATA 19 Assessment of data quality to be presented and discussed at Quarterly 1-1 Finance and Monitoring meetings and to be presented in monitoring reports to Cabinet There is a framework for monitoring and reporting Data Quality to those responsible for governance HPP To commence from second quarters 06 cycle of Cabinet reports on Finance and monitoring 17