United Nations Statistics Division Programme in Support of the 2020 Round of Population and Housing Censuses

Transcription

1 1 United Natins Statistics Divisin Prgramme in Supprt f the 2020 Rund f Ppulatin and Husing Censuses Sessin 8 Main Drivers and Decisin-Making n the Use f Electrnic Data Cllectin Technlgies Srdjan Mrkić United Natins Statistics Divisin

2 Cntent Key drivers f technlgical innvatin in census data cllectin Steps fr decisin making Management structure fr making a decisin

3 Key drivers Demand fr timely data Demand fr better cverage and data quality Demand fr imprving the quality f peratins-min. human errrs Demand fr cst reductin and cst effectiveness Demand fr minimizing respnse burden Less csts f technlgy and easy accessibility Management structure fr making a decisin User and stakehlder expectatin Natinal and glbal cmmitments t mdernizatin f statistical systems

4 Decisin making prcess Steps fr making a decisin 1. Develping strategic bjectives 2. Identifying key factrs affecting decisin 3. Infrmatin required fr decisin making 4. Analysis f infrmatin 5. Cmpnents f decisin making 6. Dcumentatin and evaluatin

5 1. Strategic bjectives Strategic bjectives will differ depending n lcal circumstances Amng the mst imprtant wuld be: - Imprving census cverage and decreasing nnrespnse - Imprving data quality - Disseminating census results mre timely - Cnducting the census in a cst-effective apprach - Mdernizatin f statistical business prcesses - Meeting public expectatins

6 Decisin making prcess Steps fr making a decisin 1. Develping strategic bjectives 2. Identifying key factrs affecting decisin 3. Infrmatin required fr decisin making 4. Analysis f infrmatin 5. Cmpnents f decisin making 6. Dcumentatin and evaluatin

7 2. Identifying key factrs Institutinal factrs-refer the capacity and capability f NSO t adpt the new technlgy Technlgical factrs- factrs that have a direct effect n the establishing the infrastructure needed fr the use f new technlgy mre widely, particularly fr data transfer and the use f Internet Ecnmic factrs- refer t that have t be cnsidered fr securing the financial resurces fr establishing a system fr the use f the new technlgy Operatinal factrs- refer t the parameters that specific the necessary cnditins fr adptin f electrnic data cllectin technlgies in terms f time required and the wrkfrce needed Scial, cultural and envirnmental factrs- refer t thse that are related bth t public`s general expsure t, and acceptance f new technlgy

8 Key factrs affecting decisin-general framewrk Institutinal factrs.experience in change management. High level and senir managerial supprt. Gvernment cmmitment and supprt. Technical skills and capacity. Previus experience in electrnic data cllectin. Stakehlder supprt. Apprpriate legislative framewrk Technlgical factrs ICT infrastructure. Internet accessibility (bth natinally and at the individual husehld level). Use f scial media. Cellular/mbile phne cverage.. Ecnmic factrs. Pressure fr cst reductin f census peratin. Resurce mbilisatin. Supprt frm Gvernment and ther stakehlders fr resurce allcatin Operatinal factrs Scial, cultural, envirnmental factrs. Public trust. Level f educatin. Transprtatin availability. Availability f electricity. Availability f bradband cnnectivity. Diversity - such as sci-ecnmic, gegraphic, etc.. Respnse rate. Time required fr - redesigning - capacity building Decisin n use - establishing IT f electrnic data infrastructure - prcurement cllectin. Hardware requirements. Human resurce needed. Assessment f csts, benefits, risks Reginal Wrkshp n the 2020 Wrld Prgramme n Ppulatin and. Plans Husing fr reusecensuses: Internatinal

9 Decisin making prcess Steps fr making a decisin 1. Develping strategic bjectives 2. Identifying key factrs affecting decisin 3. Infrmatin required fr decisin making 4. Analysis f infrmatin 5. Cmpnents f decisin making 6. Dcumentatin and evaluatin

10 3. Infrmatin required fr decisin making a. Quantitative infrmatin Ppulatin size and density Literacy rate Prprtin f ppulatin having basic cmputer skills Number and prprtin f ppulatin wh can access t the Internet Number and percentage f husehlds with Internet cnnectin Prprtin f husehlds with electricity Cellular/mbile phne cverage Pattern f nn-respnse rates fr previus censuses and surveys By gegraphical area and rural/urban b. Qualitative infrmatin Hw ready is the statistical agency t adpt new technlgy fr enumeratin? Hw will Gvernment and main stakehlders (particularly data users) react t the use f new technlgy? Des existing legislatin allws fr a change in the methd f enumeratin, and, if nt, is a requisite change practicable? What is the public s reactin t adptin f Internet as the medium fr self-respnse? What are main expected challenges? What wuld be strategies t achieve these challenges? What are the risks in prcuring hardware and utsurced services?

11 3. Infrmatin required fr decisin-making c. Infrmatin needed fr peratinal aspects The extent f the gegraphic area t be cvered Number f days/weeks estimated t cmplete the enumeratin Ttal ppulatin (in terms f persn and husehlds) t be cunted Number f Enumeratin Areas (EAs) Size f field frce (enumeratrs and all supervisry staff) depending n methd f data cllectin including multi-mde apprach Availability and the quality f address frame r address registers Technlgy cnstraints (nline/ffline, pwer access) Outsurcing pprtunity Nn-respnse fllw-up (anticipated level f nn-respnse)

12 3. Infrmatin required fr decisin making d. Estimate f Ttal Cst f Ownership Fixed csts and variable csts Three cmpnents f TCO: - Hardware/ sftware - Operatinal csts - Persnal csts Ttal csts f the multi-mde can be assessed by adding the cst estimate f each pssible methd Cmparisn with the csts f previus census

13 A template fr calculating ttal cst f wnership including all methds cnsidered fr data cllectin

14 3. Infrmatin required fr decisin making e. Benefits- imprving data quality, cverage, timeliness f delivery f utputs and future uses f same technlgy fr statistical peratins f. Risks and challenges- such as building a capacity, data transfer, resurce mbilizatin, hiring a qualified field staff, data security g. Timetable- sufficient time such as fr building a capacity, prcurement, system develpment, end-t-end testing (usually extensins t the timetable required fr decisin making and planning) h. Reuse f technlgy- ther censuses, husehld surveys, business registers, the use f hardware by ther rganizatins i. Best practices-practices f cuntries which have similar cnditins

15 Decisin making prcess Steps fr making a decisin 1. Develping strategic bjectives 2. Identifying key factrs affecting decisin 3. Infrmatin required fr decisin making 4. Analysis f infrmatin 5. Cmpnents f decisin making 6. Dcumentatin and evaluatin

16 4. Analysis f Infrmatin Analysis f existing census/demgraphic and cntextual data is a critical step in the decisin-making prcess Several types f appraches shuld be used fr analysis Infrmatin cllected shuld be analyzed with the invlvement f relevant stakehlders Cmparative analysis is necessary fr selectin f apprpriate data cllectin methd in a cuntry cntext

17 4. Analysis f Infrmatin A. SWOT (Strengths, Weaknesses, Opprtunities, Threats) analysis: a better understanding f the balance between the benefits, risks and challenges in the intrductin f new technlgy - Strengths: thse characteristics f the new prcess r methdlgy that give it an advantage ver thers - Weaknesses: thse characteristics which put the prcess r methdlgy at a disadvantage cmpared t the thers - Opprtunities: thse elements f the prcess r methdlgy that can be explited t its advantages r the advantages f thers - Threats: thse elements that create risks, r present challenges, cmparative advantages and disadvantages f adptin f new technlgy

18 4. Analysis f Infrmatin B. Cst-benefit analysis: cmparisn f ttal csts with its benefits - a tl fr explaining the benefits f adpting an electrnic data cllectin technlgy by cmparing its cst with the csts f current data cllectin mde - If a multi-mde data cllectin methdlgy is an ptin, the cst estimates, benefits and risks shuld be determined fr each type f data cllectin methd under cnsideratin Results f analysis shuld be the basis fr making a decisin Results shuld be used fr preparing a justificatin fr transferring t new technlgy Especially fr cnvincing the gvernment and stakehlders abut the value f the new apprach

19 Decisin making prcess Steps fr making a decisin 1. Develping strategic bjectives 2. Identifying key factrs affecting decisin 3. Infrmatin required fr decisin making 4. Analysis f infrmatin 5. Cmpnents f decisin making 6. Dcumentatin and evaluatin

20 5. Cmpnents f decisin making Data cllectin mde(s): Understanding the data cllectin mde (r mdes if a multi-mde apprach is decided) is ne f the first cnsideratins. PAPI, PASI, CAPI, CASI, CATI r sme cmbinatin f these be adpted? Type f hardware : Types f hardware (such as servers, handheld devices, tables r smartphnes) needed fr census peratins shuld be decided Sftware develpment: Methd f develping sftware and applicatins shuld be decided- (cmmercial, in-huse, utsurced, custmized)

21 5. Cmpnents f decisin making System develpment: Understanding and balancing an investment in refreshing r updating existing systems Management structure and capacity: There shuld be decisin n hw t manage census prject. - Is there a need fr restructuring rganisatin? - What wuld be management structure f census prject? - What new skills are needed? - Hw can the existing capacity be develped?

22 Decisin making prcess Steps fr making a decisin 1. Develping strategic bjectives 2. Identifying key factrs affecting decisin 3. Infrmatin required fr decisin making 4. Analysis f infrmatin 5. Cmpnents f decisin making 6. Dcumentatin and evaluatin

23 6. Dcumenting decisins and evaluatin Statistical agencies shuld clearly dcument the discussins and prcedures fllwed at each stage during the whle f the decisin- making prcess frm start t finish. Each stage f this prcess shuld be described by linking all decisins with relevant dcuments Systematic recrding f this prcess will be very useful dcument fr designing and implementatin census peratins affected by the decisins, and crucial if there is a need fr revising the decisins during later stage f census planning if the cnditins/requirements underlying particular decisins change

24 Management structure fr decisin making Decisins shuld be given thrugh cnsultatins with managers within the agency and with a variety f external stakehlders including technical experts, subject specialists and end users The high-level management grup wuld be respnsible bdy fr making the decisin An advisry bard n technlgy wuld be respnsible fr reviewing types f technlgy available Technical wrking grups wuld be frmed fr specific areas such as IT, census methdlgy and field peratin, census legislatin, budget, prcurement/utsurcing, lgistics, etc. - mre detailed research fr pssible alternatives