Benchlearning methodology and data gathering template

More documents

Recommendations

Info

D.2 “Benchlearning Methodology and Data Gathering Template”Annex I: Full list of eGEP indicatorsTable A.1 Legend of Indicators Data Sources AcronymsAcronymFull Description of SourceOSOfficial StatisticsADRE 20Administrative Records Data, for instance: Personnel costs; Material costs; Volumes of outputs (files, cases, transaction processed); Description of standard procedures and business processes and ofcorresponding working times; OtherSCMC 21Standard Cost Model CalculationsISA 22Internal Self-Assessment based on qualitative ScaleRSS 23Random sample survey for users’ Satisfaction and usage Data andindex construction 24ESUREmployees SurveysPOPS 25Pop-up Surveys.TPA 26 .Third Party AssessmentWCRAutomatic Web Crawler SoftwareWMET 27 .Web Metrics Data: Number of hits or user contact sessions; Number of document downloads; Amount of time users spend on a site; Number of transactions completed; Web analytics (click streams, repeat use, cross-usage)20 On how to use this data for the calculation of efficiency indicators See MeasurementFramework Compendium, pp. 30-32 (exhibits 6 and 7).21 See Measurement Framework Compendium, pp. 32-33.22 See example in Measurement Framework Compendium, pp. 33-35 (exhibit 8).23 This topic is discussed in full details in the Measurement Framework Compendium(paragraph 3.2).24 For a concrete example see Measurement Framework Compendium (pp. 39-40 andExhibit 10).25 See Measurement Framework Compendium (pp. 37-38).26 See Measurement Framework Compendium (pp. 36-37 for the Accenture methodology and42-44 for eGEP approach on the topic).27 See Measurement Framework Compendium (pp. 35-36).Version 130
D.2 “Benchlearning Methodology and Data Gathering Template”Table A.2 eGEP Indicators Full Template, Sources, and Signposts RelevanceEFFICIENCYImpacts Indicators SourceSignposts1. ∆ % case handled per processing full time equivalent ADRE 22. ∆ % in average length of time to process a standard case ADRE 23. ∆ % K€ full time equivalent gains ADRE 24. ∆ % K€ in overhead costs (postage, paper, print) ADRE 2Cashable 5. ∆ % K€ dematerialisation savings from e-procurement ADRE 2 / 3financial gains 6. ∆ % K€ in maintenance costs ADRE 27. ∆% of overall business as usual budget ADRE 28. ∆ % e-tendering as a % of total transactions ADRE/WMET 2 / 39. ∆ % economy of scale gains ADRE 210. ∆ % in revenue gains from improved coverage ADRE 211. ∆ % in number of employees re-trained ADRE 2 / 112. ∆ % public servants eGov/ICT skills ISA/ESUR 213. ∆ % in number of employees tele-working ADRE 2Better14. ∆ % job flexibility score ISA 2empowered15. ∆ % in improved job content score ISA 2employee16. ∆ % in employees’ satisfaction score ISA 217. ∆ % in overall job attractiveness score ISA 218. ∆ % in overall job empowerment score ISA 219. ∆ % in number of transactions performed online WMET 220. ∆ % in revenue collection cycle length ADRE 221. ∆ % in number of internal protocols needed for cross-agencies services ADRE 222. ∆ % in number of personnel redeployed to front line activities ADRE 223. ∆ % in number of IT enabled face-to-face contact points ADRE 2 / 124. ∆ % in ratio of professional to general service staff ADRE 225. ∆ % in number of re-designed business processes ADRE 226. ∆ % in number of integrated services available in main Government Portal ADRE/TPA 2 / 327. ∆ % in improved organisation score ISA 228. ∆ % in improved inter-operability score ISA 229. ∆ % in activity standardisation score ISA 2Better 30. ∆ % in improved planning and policy-making score ISA 2organisational 31. ∆ % in IT infrastructure coherence score ISA 2and ITarchitectures 32. ∆ % of public agencies with integrated IT financial and resource planning. ADRE 233. ∆ % in improved internal management score ISA 234. ∆ % in improved internal communication score ISA 235. ∆ % in volume of authenticated documents exchanged with other national publicagenciesADRE/WMET 2 / 436. ∆ % in volume of authenticated documents exchanged with public agencies across EU ADRE/WMET 2 / 437. ∆ % in the number digital knowledge sharing platforms for public agencies ADRE/TPA 2 / 338. ∆ % in the number of Public Private Partnership supported by a digital platform ADRE/TPA 2 / 339. ∆ % in the volume of document exchanged digitally within PPP ADRE/WMET 2 / 340. ∆ % in overall in inter-institutional cooperation score ISA 2 / 4DEMOCRACYImpacts Indicators SourceSignposts41. ∆ % in number of policy drafts online for consultation TPA 542. ∆ % increase in number of government website with Constituency RelationshipManagement ApplicationsTPA 5Openness 43. ∆ % in response time to queries received online ADRE/TPA 544. ∆ % increase in number of government website providing platform for digitalinteraction and consultation (online forum, e-petitioning, etc)TPA 545. ∆ % in number of government website providing in two-ways interaction with users ADRE/WMET 5Transparencyandaccountability46. ∆ % change in aggregate openness score TPA 547. ∆ % in number of government processes fully traceable online TPA 248. ∆ % in number of transactional services enabling online case tracking TPA 249. ∆ %in number of public agencies reporting their budget and expenditure online TPA 2ContinuedVersion 131
Page 5 and 6: D.2 “Benchlearning Methodology an
Page 29: D.2 “Benchlearning Methodology an

Benchlearning methodology and data gathering template

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?