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ESIS ESCWA Statistical Information System ESCWA for regional integration Information and Communication Technology Division Capacity-Building Workshop on.

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Presentation on theme: "ESIS ESCWA Statistical Information System ESCWA for regional integration Information and Communication Technology Division Capacity-Building Workshop on."— Presentation transcript:

1 ESIS ESCWA Statistical Information System ESCWA for regional integration Information and Communication Technology Division Capacity-Building Workshop on Information Society Measurements: Core Indicators, Statistics, and Data Collection Beirut, 7-10 June 2005

2 Content What is ESIS Main features Why ESIS Main dimensions Samples Live demonstration

3 What is ESIS? System for storing and retrieving selected statistical indicators for a specified group of countries/regions and a specified time series Incorporates a core database, which is accessed by both a desktop software product and an on-line web-based interface ESIS db ESCWA staff Public Read Write

4 Main features Bilingual (English and Arabic) Common tools for data entry, reporting and analysis Common interface leading to a consistent look and feel Available to ESCWA staff and member states Web based with secure access control Single repository of customized and comparable data for all substantive divisions Flexible, definable, and modifiable data structure

5 Software development platform MS SQL Server VB programming language MS Excel ASP.net

6 Why do we need ESIS? Improved availability, accessibility and usage of national and regional data and information in socio-economic fields Sharing of data Control of redundant information Better data security Improved data integrity Possibility of concurrent access Publishing facilities, comparison and analysis

7 System main dimensions Indicators (organized into Modules, Categories and Sub-categories) Countries/Regions Years Time Country /region Indicator T1 T3 T2 C1 C2 C3 I1 I2 I3 D 1 (I 1,C 2,T 2 )

8 Modules as modeled in the ESIS

9 Indicators Grouping Indicators into Modules/Categories/Sub-Categories: I n.x I c.x CnCn CaCa CcCc SC aa SC ab I n.1 I n.2 I c.1 I c.2 I aa.1 I aa.2 I ab.x A module is an organized collection of indicators/statistics A Category [C] should group none, one or more than one Sub- Category [SC] An Indicator [I] should belong to only one category or Sub-Category A Derived indicator is calculated from other indicators

10 Indicators properties Definition Type (Number or Text) Unit (Number, Percentage, Currency…) Regional (Total or Average) Default scale factor Deriving new indicators (construct a function)

11 Sample of an organized set of indicators ICT module Telecom Infrastructure category UNDP - Technology achievement index ITU – Digital Access Index (DAI)Cellular mobile subscribers per 100 Main telephone lines operation per 100 Related indices category Cable subscribers UNCTAD - ICT diffusion index

12 Indicators as modeled in the ESIS

13 Countries/Regions C2C2 RbRb RnRn C1C1 RaRa CxCx CnCn C4C4 RcRc Grouping Countries into Regions A Region [R] could exist as a group of countries or as a standalone entity A Country [C] could belong to one or more region/s or exist as a standalone entity C3C3

14 Countries/Regions in the ESIS (22 countries, 13 group) ESCWA member states Bahrain Egypt Iraq Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria United Arab Emirates Yemen Other Arab states Algeria Comoros Djibouti Libya Mauritania Morocco Somalia Sudan Tunisia Regions/Groups Arab States [AS] ESCWA GCC MENA Middle East Non GCC ESCWA countries Non-OAPEC Arab Countries OAPEC World World High Income countries World Low Income countries World Lower Middle Income countries World Upper Middle Income countries

15 Countries/Regions as modeled in ESIS

16 Time T1T1 Tf 4 T2T2 TnTn T3T3 Tf 5 T4T4 T5T5 A Time dimension could be a “year” or a “period” A base year should be specified Time forecast

17 Time as modeled in the ESIS

18 Result preview

19 Result in EXCEL

20 Chart (1)

21 Chart (2)

22 Chart (3)

23 Live Demonstration ESIS Reporting Engine

24 Data management Inserting individual new values (one by one) Process automatic export from EXCEL Process automatic regions’ aggregation (individual or mass) Process automatic indicators’ derivation (individual or mass) Forecasting values

25 Meta data management Specify Notes on the data point level Specify Sources on the data point level

26 Users distribution EDP Administrators from substantive divisions Data managers from substantive divisions Public

27 Thank you


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