Transcript WOP-Africa
Global WOPs Alliance Development of a geo-referenced utility benchmarking system Josses Mugabi & Faraj El-Awar 24 November 2008 Outline What we want to achieve Benchmarking as a facilitator of WOPs Existing benchmarking initiatives Why a geo-referenced system? The “GRUBS” concept Next steps and questions for discussion What we want to achieve Present some preliminary thoughts on developing a geo-referenced benchmarking tool for utilities and regional WOPs Generate discussion on the: – potential application of the tool and how it can designed to best respond to the needs of water operators and WOPs worldwide; and – way forward and plans for advancing the initiative (i.e. scoping study, system development and pilot implementation) Global WOPs Mission To promote improved performance of operators of water utilities through mechanisms for direct partnerships and networking…. Translation: – to provide utility operators with a platform that would enable them to improve performance through systematic knowledge sharing, peersupport and emulation So what kind of benchmarking tool would be better placed to meet these goals? Benchmarking- a key facilitator for WOPs Partnerships Stronger Utilities Performance gap Weaker Utilities But for benchmarking to be useful to WOPs ……… Data and results must be fed back to water utility managers to allow them to take advantage of the power of benchmarking Flexible and easy-to-use tools (e.g. graphs, maps and diagrams, comparative assessments etc) Need for a system that encourages partnerships, self-discovery and awareness in a non-threatening environment Existing/past initiatives International Benchmarking Network (IB-Net) South East Asian Water Utilities Network (SEAWUN) Service Provider’s Performance Indicators and Benchmarking Network (SPBNET) The ADB water utilities data books And many others….. Limitations/Opportunities Limitations of exiting/past initiatives: – Limited analytical capability – Limited feedback to water utility managers – Largely static systems – No GIS functionality Opportunities – Fairly large datasets – Standard indicators – Integration The “GRUBS” concept SEA WUN IB-Net SPBNET GRUBS ADB Utility MIS Other Other Regulators Rationale for a georeferenced system Harness the power GIS – spatial visualization of utility performance data (e.g. choropleth maps) – spatial analysis (e.g. neighborhood relationships, clustering) Integrate GIS functionality, clustering model and statistical analysis – capture heterogeneity, trends – Increase knowledge of the determinants of utility performance – Improve communication about performance differenced between utilities Integration into GRUBS has advantages for WOPS… Minimise costs to individual utilities looking for partners to emulate Allow local utility data to be uploaded to regional and global WOP hubs Encourage greater data consistency Enable more advanced analysis to better understand the determinants of utility performance Improve visualisation and spatial analysis of benchmarking data Web-based Simplified Schematic of the GRUBS Web Platform Server-side application GIS application and clustering model Internet map server Client-side interface and visualisation Requests Web server Results Web browser GRUBS Conceptual Model Automatic update? Data sources IB-NET SEAWUN SPBNET ADB data books Regulators Others GRUBS Web Platform Digitised utility boundaries Data conversion tool New data/ updated data from utilities Analytical work 1.Compare based on partial indicators 2.Compare based on overall efficiency index 3.Cluster utilities with similar performance based on 1or 2 Visualisation Online charts, tables& maps Online charts, tables& maps Online charts, tables& maps Analytical framework for finding partners … Network-based view of performance differences Statistical significance testing on performance differences: – Partial indicators – Overall efficiency indicator Replace ranked lists by blocks of utilities indistinguishable in terms of performance Visualisation Simple and complex choropleth map displays GIS tools in-built within GRUBS would provide means to build these maps automatically Spatial models – integrating groups of utilities that have similar performance on a specific indicator or on overall measure of technical efficiency, using a clustering algorithm Proportion of Utilities Making the “Best Performer” Groups Indicator Valid sample Target for best performance East West South Proportion of utilities making the best performer group (%) East West South Water coverage(%) 91 31 20 37 10% 5% 51% Sewer coverage(%) 83 11 2 22 0% 0% 41% Metering level(%) 100 24 12 29 4% 50% 34% NRW (%) 25 36 16 36 8% 50% 33% NRW (m3/km/day) 12 32 16 26 16% 50% 27% NRW (m3/con/day 0.3 33 16 34 27% 56% 35% 0-15% 15-40% >40% Summary of minimum technical requirements User-friendly Easy import of data from other sources Decentralised input-centralised reporting Advanced GIS for easy illustration and visualisation Accessible locally and remotely Minimal licensing and development costs Support open source and international standards Next steps (1) brainstorm How can we capture the added value of a geo-referenced system? What are the potential applications? How are we going to address the problem of data collection/capture? How could this be rolled out? Any other issues? Next steps (2) – scoping study Assessment of existing databases demand for the new system from utilities and regional WOPs Possible sources of funding for GRUBS and possible management arrangements Technical feasibility of the GRUBS platform Role of different partners in the development and management of GRUBS. Next steps (3) – system development Specify server requirements Build a powerful internet map server, with digitised maps of utility boundaries and specify formats for storing geographically referenced features Developing a customised GIS application with a fully integrated clustering algorithm and software module for deploying applications on the internet, as well as data conversion tools. Next steps (4) – pilot implementation Analytical framework to be pilot-tested using recent WOP-Africa performance data Data capture systems to be pilottested by linking GRUBS to a GISbased utility MIS being developed in Zanzibar as part of the h2.0 initiative Working Group Questions 1. 2. 3. How can we develop the next generation IBNET-plus? Knowledge-management – how can the global wop alliance be a facilitator for WOPs? Developing an innovative micro-level water-operator benchmarking system; and linking with other databases (socioeconomic, habitat, citizen appraisal data)?