ANNEX 1 . 97 MI 7.4: Monitoring systems generate high quality and useful performance data Score Overall MI Rating Highly satisfactory Overall MI score 3.14 Element 1: The corporate monitoring system is adequately resourced 3 Element 2: Monitoring systems generate data at output and outcome level of the results chain 3 Element 3: Reporting structures are clear 3 Element 4: Reporting processes ensure timely data for key corporate reporting, and planning 3 Element 5: A system for ensuring data quality exists 4 Element 6: Data adequately captures key corporate results 3 Element 7: Adequate resources are allocated to the monitoring system 3 MI 7.4 Analysis Source document UNRWA is strongly committed to generating high quality and useful performance data against the multi-tiered and broad set of results frameworks that are it monitor and reports against and has clear reporting structures to do this. There are some concerns regarding the ‘fit for purpose’ of monitoring given resource needs as the current system reports on double the number of indictors previously, but with no extra monitoring resources.. Compliance with reporting requirements is monitored across programmes, functions and field offices. There are some examples where there are duplications of effort and reporting structures could be clearer; staff in programme areas report being asked to send the same data sets to both their programme Chiefs at HQ, as well as to the Front Office (Planning) in each field. The results-based monitoring system is currently used to report on the organisation’s programmes and to capture management and effectiveness KPIs (rather than support functions which are reported under the management and operational effectiveness chapter of the MTS) but will be integrated with the SAP (REACH) system to facilitate a more complex processing of reporting on corporate results, combining programmatic information with financial and HR aspects of projects and logical frameworks and increasing the reliability of data between UNRWA’s different programmes and 1, 3, 8, 11, 31, 33, 36, 37, 70, 73, 85, 100, 102, 105 databases. Data quality is verified at field level and quality assured as part of regular results reporting processes (quarterly, six-monthly, annually) and produced on a timely basis. At a thematic level, UNRWA’s systems for reporting on health data have been strengthened with the advent of e-Health, which in enhancing the organisation’s ability to report on its health indicators and currently being tailored to ensure its alignment and relevance to local conditions. UNRWA also has a dedicated Education Management Information System, which captures information on individual children as they enter school and progress from one grade to the next and also links to other UNRWA data management systems. In emergency settings, UNRWA is able to adapt and use a ‘light’ version of its RBM system, whereby data is input to the system on a first instance basis, with the data then being verified by the Field Office and then going through a further quality check at HQ before being ‘entered’. This practice allows to agency the opportunity to spot issues at an early stage and be responsive. MI 7.4 Evidence confidence High confidence