Page 50 - Contributed Paper Session (CPS) - Volume 6

CPS1490 Nehall Ahmed Farouk Mohamed
different sectors, by providing the suitable big data analytics that can be used
in official statistics. As 52 classifications of big data social media studies by
source and area shown in figure (1). Big data helps NSOs with several
opportunities to” reduce the cost of statistical production, improve the
timeliness and frequency of its offerings and create new or richer statistics that
meet emerging statistical data needs.”(S.M. Tam& F. Clarke 2015) also it might
be used as regular official statistics.

2.2. Section 2: Big data analytical techniques (predictive analytics)
In order to extract the required knowledge from big data, two main
processes are required, which are: data management and data analytics.
Having a deeper look over the data analytical techniques, (Amir Gandomi, and
Murtaza Haider 2015) mentioned 5 main big data analytical techniques which
are: (text analytics - audio analytics - video analytics - social media analytics -
predictive analytics). But the techniques of predictive analytics are the point
where the paper needs to investigate. Predictive analytics of big data can
predict the future upon current and historical data. It creates patterns that
consider the features and relations between data. These patterns of predictive
analytics have main techniques based on the methodology used or the type

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