Data Revolution, Big Data and Statistical Standard

Jousairi Hasbullah,
The Challenges for NSOs in poor countries of the Asia and the Pacifics:

Data revolution is a world's sudden explosion: data is bigger, faster, and more complex than ever. Data providers not only come from National Statistical Offices (NSOs) but also from many other sources as a result of advancement in technologies and the huge transformation of "internet of things".
On the other side: there have been growing demand for various kinds of data from various segments, dimensions and levels of the societies.

Some people in especially more develop countries have already been living in the new world of data, but those who live in the developing countries are not. Some countries are already using rich and abundant quality statistics for life, for enhancing their quality of life, but most of the people in the south of the hemisphere are still been excluded.

What should be done by all of the NSOs in the region: Asia-Pacific Region is that of how to provide data as many types as possible by incorporating data produced by NSOs and those produced by other sources. We should integrate NSOs data and the New Types of data/ Big Data.

Data produced by NSOs should be more in volumes, types and its relevance to the need of the people. Data also should be brought closer and used by the public. This is certainly not easy for less developing countries. The first challenge is that of how to inrease the volume of available data. It means all of LDCs countries should conduct a regular, annually, national socio-economic survey as a basis of all social data. The result of the survey can be used as a data base for using statistical models to estimate variables on small area statistics.

There are also challenges for NSOs to provide data which reflects the people'perception toward their life: happiness, loneliness, wellbeing, their satisfaction, their perception toward government servises and many other types of subjective based data which should be available in addition to objective based approach data.
All types of data produced by NSOs should be disaggregated, focussed on the need of people which reflect what is important to support people's life, people'existence and people'right.

The abundant volume of data is not enough..data should be brought to the people, understand by all people. It is a time for all NSOs in the region to move forward, to shift old paradigm which are of more "inward looking" concentrate on the traditional ways of how to conduct data collection, to more "outward looking" communicate, engage, and affiliate with the people. Close relationship with media is of high priority. All of the statistician work with NSOs should give high attention to the important of writing with using people' language, not an isolated statistical languages. Writing article for news paper should be part of all statistical cinducts.

In the era of big data, data revolution, all NSS/NSOs  should adapt to the new sources of data including administrative data from other line ministries and government institutions. But, in using administrative data in almost all developing countries Asia Pacific, we have to be very careful. No developng countries in the region which have good administrative data. Data available of a very poor quality and unstandardised in term of ststistics point of view.
Most administrative data produced by government agencies have no clear concept, definitiin, time, and method of data collection. The data available is not statistics.

Based on what have been mentioned, all of NSOs should be aware of the revolution in the volume of data available. This is in one point as an oportunities for enriching data, but on the otherhand we have to be aware of the important of data qualities.

On the train from Yogyakarta to Bandung
21 of June 2018
Jousairi Hasbullah.