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Government Computerization, ESCAP
Government Computerization Newsletter No 14 - December 1999
Contents 14/99:

Disclaimers and Editor's contact information are on the Newsletter home page http://www.unescap/org/stat/gc/gcnl/gcnlhome.asp.  Contributed articles are welcome.

Millennium trends: Moore's law extended, convergence will accelerate -- The prediction formula of Gordon Moore, Intel's founder, is expected to remain valid at least another 15 years, thanks to new innovations in semiconductor and chip industries. Moore predicted in 1965 that the density that can be packed on a computer chip would double approximately every 18 months, which converts into equivalent increases in computer processing speed.

Hardware and software manufacturers understand the business dynamics of Moore's law very well. For the past 15 years, the suppliers' successful strategy has persuaded millions of PC users to upgrade their systems and applications to new versions every 2-3 years, a very short life span for a consumer product. In return, they have been able to enjoy innovations like the graphical user interface, multitasking or local and global networking. All are features that we would surely miss if they were taken away.

There is, however, a paradox in the midst of the ever accelerating technology evolution. Why has the industry not been able to overcome some basic shortcomings of computer systems? Why is little attention paid to the efficiency of applications and operating systems? Most off-the-shelf software is essentially 'bloatware', loaded with features that few users need in practice. Had user requirements really been directing software development, access to key productivity applications, word processors, spreadsheets and databases would be considerably cheaper, faster and more stable than offered today.

In the field of telecommunications, mobile phone manufacturers and service providers have also been 'successful' in keeping their product life span short. New phones have new features and provide access to new services that users believe that they need. International fixed line charges continue to be exorbitant compared to the cost of providing the service.

The technological inheritance from the 20th century is great, making a truly global information society possible. However, many pieces still need to be put in place to enable people in developing countries to benefit from the progress made. Technology optimists believe that the next decade will see more user friendly and inexpensive computing and global connectivity that benefits everyone. The recent moves by Intel and Microsoft to start supporting lighter, mobile and networked computing indicate that the convergence of computing, telecommunications, public media and services is unstoppable. Hopefully, a trend towards simpler and cheaper computing and communications has been started.

In this issue, we take a look at some of the latest initiatives that are likely to accelerate the convergence of information and communication technologies. One challenge in the early 2000s is to find a solution to produce services for mobile and fixed line networks, which continue to have polarized band widths, at least until the third generation mobile phone standard becomes a reality.

The convergence of technologies challenges governments to revise legislation, licensing policies, and of course, to consider how to make best use of the opportunities that IT offers. Another theme in this issue are the latest developments in handling large volumes of corporate data and paper forms.

The next Newsletter is scheduled for June 2000, and it will include, among other issues, a report on the Commission's mandated deliberations on the Y2K problems encountered in the region. The annual session of the Commission will be convened in Bangkok, from 1 to 7 June, later in the year than usually.

Converging ICTs change legislation

Online computer services, telephony and broadcasting were developed in isolation, but the innovations in related technologies, especially the digitization of data formats and signals, are bringing those media together. As different networks are able to carry similar kinds of services, technology convergence inevitably requires modernization and harmonization of laws that were originally drafted for those sectors.

A 'classic' example of the convergence of technologies that many countries find difficult to handle is Internet telephony. The difficulty arises from licence agreements that grant special status to telephone operators as voice carriers. When voice is digitized and sent in packets through the Internet, it becomes data, and its transfer is governed by agreements with Internet providers. Electronic commerce, digital audio and television broadcasting, access to interactive services through mobile phones, data services over digital broadcasting platforms are further examples of technological convergence.

The issues arising from such convergence are complex because the networked global information society does not respect national borders. Where and how to handle disputes on international electronic transactions? What about taxation? Should countries control citizens' access to international satellite broadcasting and services?

In Europe, the debate on technology convergence and its impact was started in 1997, when the European Commission published the Green Paper on the Convergence of Telecommunications, Media and Information Technology Sectors, and the Implications for Regulation. The document, subsequent discussions and the outcome of public consultations can be found on the Commission's Information Society Promotion Office's web site, http://www.ispo.cec.be/convergencegp/

The public consultations were held in three key areas:

  • Access to networks and gateway facilities
  • Investment, innovation and content production
  • Balancing regulation between public interest and competition considerations.

With regard to the access to networks and gateway facilities, the consulted stakeholders recognized openness as a long-term goal and one that should be a market-led process. Most commentators saw a continued, albeit transitional role for regulation as the convergence of technologies and markets leads to increased competition. Many respondents feared that vertically-integrated operators might abuse their market power and control of access to one or more elements of the value chain in order to foreclose market entry by others.

On the question of how to encourage investment and innovation in the new environment, the respondents highlighted the need to adapt current measures to the new environment. Adherence to open interoperable standards was viewed as essential to foster the growth of a wide range of content services over a similarly wide range of delivery media.

The stakeholders were also asked how to ensure a balanced approach to regulation between the public interest and competition. The respondents saw no particular contradiction between the public interest and market considerations. Market forces were rather viewed as a necessary but not sufficient condition for satisfying some areas of public interest. Self-regulation was seen as a useful mechanism for most content-related matters and for developing open standards, but not particularly for dealing with problems of market dominance.

WAP delivers interactive services to mobile phones

The spread of the Internet and of mobile phones have been phenomenal during the past few years, first in advanced countries but recently also in developing countries. Both success stories are payoffs from development work aiming at converging different base technologies. Today key players in hardware and software industries agree that the next inevitable change is to combine the two aggregate technologies in order to bring services to users where and when they are needed.

Responding to the challenge of mobile band width

Full mobility continues to be a challenge for data transmission. Many innovations will be required before wireless mobile technologies are suitable for broadband Internet connections. Even the technologies entering the markets in 2000 will have relatively narrow band widths for data transfer. GSM's new GPRS packet switched data transmission technology promises 114 kbps data access, while HSCSD technology in standard circuit switched GSM networks offer the theoretical maximum rate of 3x14.4 Kbps if three of the four simultaneous time slots are used for downloading data.

The industry realized in the mid-1990s that it had to create a new standard that handled information more efficiently than the Internet. The establishment of the Wireless Application Protocol (WAP) Forum (http://www.wapforum.org/) in 1997 was a landmark for key manufacturers of mobile devices in moving towards a common standard for enabling sophisticated telephone and information services on hand-held wireless devices. The Forum's standardization work led to the WAP standard, the first version of which was released in 1999.

WAP is an open global specification that empowers users of mobile wireless devices to access and interact with information and services easily and instantly.   For mobile phones, WAP means roughly the same as the web for the Internet; a vehicle for providing and accessing information and services globally.

WAP protocols are based on Internet standards, such as HTTP, but they have been optimized for the unique constraints of the wireless environment. This means that WAP services must be produced separately, although standard off-the-shelf Internet servers can be used to host them. Standard HTML pages containing a large text overhead cannot be displayed properly on a small mobile phone screen. WAP utilizes a binary transmission mode that allows greater compression of data.

WAP is also optimized for long latency (waiting time) and for low to medium band width. The Wireless Markup Language (WML) is the WAP equivalent of HTML. It makes optimum use of small screens and allows easy navigation with one hand without a full keyboard, and has built-in scalability from two-line text displays through to the full graphic screens that are available on personal digital assistants, smart phones and communicators.

WAP expected to break through in 2000

The first WAP-capable handsets and services have become available in Europe in 1999, and they are expected to spread fairly rapidly to other parts of the world. As with all new technologies involving many players, the first services are experiencing some hiccups. For instance, customers have been charged for the telephone connections that were initiated even if the ultimate WAP service provider was not reached.

A WAP - capable mobile phone has a micro browser (client software) that enables wireless access to services that are designed for WAP devices. Those potentially include an attractive range of services, such as banking, personalized news feeds, traffic and timetable information and e-commerce transactions. For secure transactions, WAP includes a specification optimized for mobile authentication and encryption.

Since the release of WAP Specification Suite 1.0 in April 1998, the WAP Forum has been joined by major manufacturers of digital mobile devices, carriers, subscribers, infrastructure providers, software developers and other organizations providing solutions to the wireless industry.

Bluetooth more versatile than infrared

Bluetooth is another technology that promises to make society wireless. It is the codename for a technology specification for short range radio links between mobile PCs, mobile phones and other portable devices. It is driven by the Bluetooth Special Interest Group (http://www.bluetooth.com/), consisting of leaders in the telecommunications and computing industries. The five founding companies (Ericsson, IBM Corporation, Intel Corporation, Nokia and Toshiba) of Bluetooth were joined in December 1999 by 3Com Corporation, Lucent Technologies, Microsoft Corporation and Motorola to form a Promoter group for Bluetooth SIG. Another 1,400 companies have joined as SIG members (adopters of the standard). The standard is very new and only a couple of products have been announced so far, but more are expected later in the year 2000.

Bluetooth has a broader range of applications than infrared communication. Infrared has an installation base of 50 million units which is still growing rapidly. (See http://www.countersys.com/tech/bluetooth.html for a comparison between Bluetooth and the Infrared Data Association's IrDA standard). The IrDA connection is designed for point-to-point cable replacement, and can achieve today 4 Mbps speed, with 16 Mbps under development. Its service range and angle are limited, which make it easy to use in practice (face the devices and communicate).

Bluetooth has a narrower planned bandwidth, 1 Mbps, but it has a longer service range, omni-directional characteristics and the ability to penetrate solid objects. Those features allow its use, for instance, for synchronizing a personal digital assistant or a mobile phone in a briefcase and a PC on the desk when the two are brought into each other's reach. Another example of Bluetooth application is wireless connection from a (portable) device to a LAN. Infrared is also suitable for this but it requires close proximity and stationary positioning.

If a Bluetooth device discovers several other Bluetooth devices within its range, the user is prompted to choose the name of a device with which to communicate. For previously undefined connections, the communicating devices would execute security measures (authentication and encryption) to prevent unauthorized access.

Key players change strategies

The fact that major hardware and software manufacturers have joined the WAP and Bluetooth proponent groups is evidence of the potential and viability of those technologies.

The mobility requirement will result in the development of many different sizes of personal computers, some dedicated to particular purposes, but many with the capability to with other devices at home, in offices and on the move. One of the immediate challenges for information and service providers is to deliver services for both narrow band mobile customers and for broadband stationary office and home users.

Users will no doubt appreciate the independence of location for many services and information feeds. Wireless technologies are, however, unlikely to remove personal computers from office desks. They will still be required for handling large graphics files and video streams, and complex processing.

The demand for broadband interactive network services, such as video conferencing and interactive home entertainment, will also increase. Homes and offices will need very large capacity storage devices for digital pictures and video.

Easier to use computers -- yes, please

Another positive development for users at the turn of the century is the promise of easier-to-use PCs. Intel and Microsoft have launched a common EasyPC initiative, which aims at removing legacy features from computers and moving expansion options outside the system casing. In practice this means moving to new BIOS design, slotless motherboards and USB-only peripheral connections. In terms of faster use, Intel published in mid-1999 targets for the following activities:

  • From removing a PC from the box to first powering it up: 5 minutes, which is 4 times faster than with currently available PCs
  • From powering it up for the first time to being able to use the PC: 10 minutes, or 4 times faster than now
  • From powering it up for the first time to running the first application : 10 seconds, or 4 times faster
  • From powering it up for the first time to viewing a web page: 30 seconds, or 4 times faster
  • Safe shutting down of an application: 10 seconds, or 3 times faster than at present

The initiative is certain to increase the cost of computing in the short term as users wishing to benefit from the improvements would need to upgrade the whole range of their computer equipment. However, for users who are annoyed by the difficult installation and long start-up and shutdown times, the EasyPC will offer yet another pretext to upgrade their equipment and software.

Character recognition becoming flexible and intelligent

Intelligent character recognition (ICR) engines have improved significantly over the past few years with the best recognition rates now well above 90%. Image processing and recognition have become highly flexible and capable of learning hand writing patterns from previously recognized images. Consequently, governments are opting for ICR technology when they need to process a large number of hard copy forms within a short period of time. The most typical appreciations are census and election forms, which involve the total population. Character recognition is popular also in the private sector, in processing transaction slips.  

This article is based on the material and presentations at a workshop organized by the ESCAP Statistics Division from 12 to 20 October 1999, details at http://www.unescap.org/stat/pop-it/pop-wit/pop-wit.asp. The workshop was an activity under the UNFPA-funded project, Application of New Technology in Population Data Collection, Processing, Dissemination and Presentation (RAS/96/P12). 

Optical character recognition (OCR) comprises technologies aimed at the analysis and recognition of characters from electronic images.

Intelligent character recognition (ICR) is a preferred term for recognizing handwritten characters through ICR algorithms.

Scanning is no bottleneck

An OCR/ICR system involves three main steps, namely scanning, recognition and verification. Industry strength scanners today are robust, but they also cost tens of thousands of dollars. They can digitize up to 160 A4-size landscape pages per minute, which in practice works out at 12,000 to 20,000 pages per 8-hour shift (see the Kodak web site, page http://www.kodak.com/US/en/business/scanners/scanner9500.shtml). Top-end scanners have automatic feeders, jam detectors and many other productivity enhancing features that are lacking in the standard home and office scanners. In high-end character recognition applications, scanners send the images to high speed recognition engines which are usually networked with verification stations and file servers. The work flow is automated between the various stages of recognition and several parallel workstations are used in data verification.

Scanners convert binary images to pixels, each assigned a value of either 0 or 1. For grey level images, pixels receive values between 0 and 255 depending on the intensity in the grey scale. If the scanning takes place in colour, each pixel receives three values, each in the range of 0 to 255. While it is not possible to enhance binary images (since all pixels are either  0 or 1), grey level and colour imaging offer opportunities for image enhancement with separate software. Algorithms can be written to adjust the pixel values to enhance the differences between pixels and to bring out image patterns that would have a better chance of being recognized.

Verification challenge

The verification stage is usually by far the most time-consuming part, and can easily be also the costliest, depending on labour charges and the number of documents processed. In large projects, even seemingly marginal improvements in the rate of correctly recognized characters can lead to significant savings at the data verification stage.

To improve the recognition rate, some top-end applications use more than one optical recognition engine, the results of which are passed to voting algorithms for judgement. The algorithm can, for instance, compare the results of three different recognition engines; if two of them agree with the result, that recognition is accepted as the final result. To obtain the best recognition results, the individual engines as well as the voting algorithm must have been tested and tuned carefully for a particular form, image type and handwriting pattern.

The new generation recognition software applications are highly flexible and adaptable. The best technical solutions employ advanced techniques such as image enhancement, form identification and removal, trainable recognition algorithms, customizable validation functions and rules, which all improve the real recognition rate. They can split a digital image into any number of sections which can be sorted, recognized, processed and displayed on the screen in any order. AFPSPRO, for instance, allows individual characters to be investigated next to each other (e.g. all "a"s, all "8"s, etc). This convenient mass verification method can reveal problem characters and systematic recognition errors.

The recently awarded census 2000 project in Brazil gives an idea about the cost of conducting a large turnkey recognition project. The requirement was to process hand written census forms totalling 330 million form pages in 100 working days (population: 164 million). The contract was awarded at $3.3 million, of which $1.5 million was for the recognition software (information from http://www.topimagesystems.com/html/news/in-news/Press%20Release/press.htm) and the rest, presumably, for hardware, other software and labour. The recognition systems are normally organized in clusters around a scanner, which has an optimal number of recognition and verification stations linked to it so that the throughput of the system is maximized. If the results are required quickly, the number of clusters will be increased to obtain the necessary throughput.

Although character recognition is possible from any document, the best recognition results are achieved from forms that are specifically designed for OCR. Training of data entry personnel will also improve the recognition rates. These two aspects are particularly emphasized in data collection for population and housing censuses. However, it is normally not possible to make a large population use uniform hand writing styles. Hand writing varies of course individually, but also countries and regions have special hand writing characteristics, depending on how the schools instruct writing alphanumerics. The literacy rate, which correlates with experience in writing, also affects hand writing. It is normally possible to improve intelligent character recognition results by developing a tailor-made character map based on a few thousand samples of national hand writing.

Imaging from hard-copy and character recognition technologies have improved to the level where developing countries can benefit from them. Technologically advanced solutions should of course not be a self-serving goal; due consideration must always be given to local circumstances, and financial, technical and personnel resources. Optical mark recognition (OMR), which has been widely used in census operations for the past two decades, is still an alternative for processing brief forms and questionnaires. It places, however, high requirements on the paper and ink and requires more carefully designed forms, precoding, and great care of the forms during the data collection and transport stages. On balance, OMR processes results very quickly and the equipment costs are much smaller. The latest OMR equipment offers the possibility of capturing images of the forms for later digital processing (character recognition).

Forms processing

Forms processing systems identify forms and the written information they contain. The best applications allow different kind of forms to be fed in random order and to get the results neatly compiled by type of form. The software classifies and recognizes the forms by preprinted anchors and patterns of logos and other distinct marks. Then it recognizes the content by the appropriate technology, which is generally ICR (for hand written text), OCR (printed characters) or OMR. Any unrecognized forms would be passed on for manual entry.

Data warehouses have potential

..but are not easy to set up. Many managers and employees are depending on the Internet for news and factual information. When the reach from the desktop no longer has technical limits, it seems perfectly reasonable to ask that internal information be made available with the same convenience. Various technologies can help in organizing and making data holdings available organization-wide. Data warehousing is the most comprehensive of them. Although more than 10 years old now, data warehousing is getting a new boost from the emerging web interfaces.

Data warehouses combine non-volatile enterprise data

Data warehouses offer in principle an attractive basis for on-line analytical processing and decision support systems. Some caution is, however, warranted as the results of data warehouse development projects are mixed. A large proportion of initiated projects fail, usually because of technical difficulties and the lack of long-term commitment. Another major hurdle is getting the whole organization to participate in data standardization, data cleaning and metadata development, which is often a very labourious undertaking.

A data warehouse is a physically separate collection of information from multiple operational databases implemented in different platforms. It is hosted either in a specifically designed data warehouse environment or on a standard relational database system which is accessed through specialized analytical tools that are running on top of it. Data warehouses are constructed to allow comprehensive business analysis across the functions, products, and departments of an enterprise or an organization. They usually contain several years' worth of non-volatile information, which are coming from operational business databases. Data warehouses contain typically summarized and highly summarized views of enterprise-wide information along with the detailed information that is used by various levels of management. The information in a data warehouse does not normally change, and any transaction-based records that might be brought into it represent a snapshot at a particular point of time.

While traditional (relational) database systems are good at recording and reporting what happened, their longitudinal scope and global subject matter coverage make data warehouses suitable for analysing why that something happened.

Chart:  Basic components of data warehousing  

Data marts are set up to solve particular business problems

The implementation processes of data marts are similar to data warehouses, but they have a narrower scope. They are sometimes called as local data warehouses. Data marts cater to departmental information needs or service a particular function, such as finance. Data marts are created to solve a particular business problem, such as analysing customer information or product profitability. Their development involves less data extraction and cleaning work and they are therefore cheaper to deploy and operate than data warehouses. Opinions differ between data mart vendors and data warehouse vendors on whether data marts are a way to proceed towards data warehousing. Warehousing purists argue that it is very difficult, if not impossible, to create consistent organization-wide data warehouses by linking several data marts that are bound to have redundant and unintegrated data and definitions. They accept the concept of data marts but only if they are established within a data warehouse or by extracting departmental information from it. Data mart vendors, on the other hand, point out that too many data warehouse projects fail and that data marts can be established independently, without linking them to data warehouse development. Both camps are of course pushing their own products.

A commitment of resources and a proliferation of products

The views of the data warehouse and data mart vendor groups may or may not be reconcilable, but in any event, their clients need to do their homework before rushing into warehouse development. Government departments and enterprises need to assess their needs and resources carefully before they proceed. Development cost and span, user friendliness and performance speed are key factors to consider. A warehousing decision means long term commitment, ties up resources and affects directly or indirectly all IT development in the organization. The average cost of an enterprise warehouse is said to be $3 million, so they are

clearly not for small data holdings. The organization's continued commitment is important because most of the costs occur long before there are any returns. The development may be modular, but it is important that the data warehouse is carefully designed with the scope to grow in years to come.

The data warehousing process involves so many technologies that no single product in the marketplace offers an all-inclusive solution. This has generated a thriving business for system integrators, some sticking to certain clusters of products, others choosing the most suitable products in the market after discussing with the client.  Operational databases, which are the main source of data, run typically on heterogeneous platforms and have independently defined data definitions and data formats. Another difficulty is that they often contain incomplete, erroneous and missing data. For a data warehouse, data need to be extracted from the sources, cleaned and missing values imputed. Then all source data are converted to the common data warehouse format. Despite the availability of a number of tools, the data cleaning and transformation is the most time consuming part of a data warehousing project.

Development process

A vision about what could be accomplished through creating an organization-wide repository is a start for a data warehouse, but the development must be preceded by a realistic analysis of the potential of data warehousing in given circumstances. The existing legacy systems should be examined to see whether it is feasible to use them as a data source. It is also necessary to study what information is needed by users; interviews are normally conducted for this. The analysis would lead to recommendations on the hardware, the database management system, the data extraction tools, and the business intelligence tools, and would allow the realistic estimation of the development cost. The support required by various departments in data preparation and maintenance should also be estimated.

Even if the preliminary investigation finds data warehousing technologically feasible, the ultimate decision to proceed to actual data warehouse development should always be based on business needs. The development normally goes through a prototyping phase. The prototype is carefully evaluated by users, particularly from the perspective of testing the feasibility of the data model, a crucial technical success factor in a data warehouse.

When a data warehouse, or typically the first module of it, is initially put into operation, users need to be trained to run queries and do online analytical processing. The maintenance tasks include keeping track of scheduled data replication, system usage, and query performance. As experience is gathered and new possibilities discovered, the data warehouse system will almost inevitably be modified. Another obvious reason for modification are changes in the data sources which take place from time to time. When the first module is running relatively smoothly, the next ones can be developed, hopefully within a shorter time.

ESCAP Workshop triggers interest

Data warehouses are certainly not common in developing countries. While some large private sector companies in the finance sector, for instance, have started data warehousing projects, public sector organizations have hardly given a thought to comprehensive data management systems. At least for most participants of a recent Workshop on Application of New Information Technology to Population Data (http://www.unescap.org/stat/pop-it/pop-wit/pop-wit.asp-- see also page 5), the concept and terminology of data warehousing were unheard of. However, the host organizations of the participants, statistical and census offices, are in principle suitable candidates for data warehousing. Data warehousing carries a great potential for integrating data from administrative records, from various censuses and surveys, and from different points of time.

The representatives of private sector vendors also introduced the Workshop participants to the related downstream technologies. Data mining tools are used to extract underlying relationships without an exact test hypothesis. They involve mathematical algorithms that can reveal hidden interdependencies in the data, and sometimes produce unexpected results and insights. Online analytical processing (OLAP) tools use a more traditional analytical approach with a specified advance hypothesis. Data mining and OLAP are applicable also to databases in general.

Data warehousing evolves

Most of the leading analytical applications have become web-enabled, making it much easier to share the results of multidimensional analysis with everyone than in a conventional stand alone client-server environment. The web-enabling is normally arranged so that a remote user connects with a standard web browser to a web server hosting HTML templates. Those templates will be populated from a separate OLAP server and sent back to the browser.

In the ESCAP Workshop, the representative of Unisys drew an analogy between the evolution of database technology and data warehousing technology. There had not been any significant changes in database modelling and SQL for several decades. However, the improvements to the hardware had allowed the development of user-friendly design tools for databases to the extent that knowledge of SQL was no longer needed in order to develop and run simple database systems. He pointed out that data modelling for data warehouses was still very challenging and laborious and that design tools had much room for improvement. Also, the query times and other performance factors were not always satisfactory. Nevertheless, he expected that data warehousing technology would go though a similar evolution as database systems, and would eventually become much easier to implement. That is certainly a welcome scenario for all public and private sector organizations that are struggling to manage their ever mushrooming corporate data.

Related web links:

Glossaries:

Working Group requests scenarios for the future programme

The Working Group of Statistical Experts, a subsidiary body of the ESCAP Committee on Statistics, reviewed recently the proposed work programme on statistics for 2000-2001 and endorsed the 1993 SNA, poverty statistics, gender statistics, statistics on the informal sector, and environment statistics as the priorities for the subprogramme.  (The report of the meeting is available at http://www.unescap.org/stat/cos11/wgse11/wgse11re.asp)

In reviewing the draft medium term plan for 2002-2005, the Working Group recalled the historical development which led to the inclusion of government computerization as a subject matter under the purview of the Committee on Statistics, and its specification in its terms of reference. It acknowledged that information technology had assumed greater importance in every sphere of human endeavour, and considered it useful to review whether public sector computerization should continue to fall under the Committee's responsibility. However, it was not prepared to recommend a definite course of action before a thorough review by the Committee on Statistics. It requested the secretariat to prepare a paper for the Committee in November 2000 on possible longer-term scenarios.

In the meantime, the Working Group recommended keeping the specific objective on public sector computerization in the medium-term plan of the statistics subprogramme and agreed that special and dedicated activities to promote information technology in the public sector should be carried out by the secretariat to the extent that resources permitted. In practice, this means that the sole Professional staff member working on public sector computerization activities will continue to spend substantial amounts of time supporting statistical IT activities as well.

END OF NEWSLETTER


   
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