The document discusses the increasing importance of big data analysis and real-time decision making using both structured and unstructured data sources. It notes that data collection now comes from various digital sensors and devices and that everything may become digitized. The document argues that Romania has talented IT and math professionals but is unable to fully utilize this resource, and suggests establishing a Big Data Analysis division at the central government level to process and analyze data to help monitor strategic decisions.
6. Smartphones sensors
video cameras smart meters
UAVs
drones
self-driven cars
everything may become digitized
Marcel Foca and Ionel Nițu
7. how to
eliminate the information we don’t need
decisions in real time
Marcel Foca and Ionel Nițu
8. processed
real time decisions
real time analysis
on-line dispatch centers
command & control decision systems (C2)
geospatial analysis makes the difference
standardization for interoperability
Marcel Foca and Ionel Nițu
10. The Big Data is part of our day-to-day life
Confidentiality issues
security issues
the greatest challenges will be the specialization of human
resources
Marcel Foca and Ionel Nițu
11. Romania
people talented in IT and mathematics
unable to use this important resource
country’s competitiveness worldwide
Romania
chance to make it up to the rest of the EU
Marcel Foca and Ionel Nițu
12. big governmental IT projects
lost somewhere
Big Data Analysis division at the
central government level
to process and to analyze Big Data
to monitor the implementation of the strategic IT decisions
Marcel Foca and Ionel Nițu
Editor's Notes
I did not approach the “Big Data” concept from a perspective of storing large data volumes or cloud computingI treated the Big Data phenomenon taking into account all the challenges this poses to data analysis. We are considering a number of implications of this phenomenon, such as: - the exponential growth of stored data (public or confidential) and their diversity;- the increased difficulties in processing data for generating actionable information (considering the need to make decisions in real time);- the security/confidentiality issues arising from the Big Data phenomenon;- a trend to replace data analysis by extrapolation (based on data samples), with the analysis of the entire data.
We cannot know the exact accuracy of an opinion poll for predicting the winner of the Eurovision singing competition (May 2013) – it must have been based on certain subjective factors, such as sample selection, the responders’ availability to provide answers and it would certainly not have been able to take into account any of the background support agreements between the various peoples, which always happen at the Eurovision.Nevertheless, Denmark’s victory was foretold – with a rather high degree of precision – by an IT researcher who used a Big Data analysis software.2. Using the specific Big Data analysis methods of a certain search engine, researchers were able to anticipate, rather accurately, the flu propagation model for the H1N1 virus3. During the American elections (November 2012), a website predicted that Obama will be re-elected, by using a data model which correlates information (by multiple categories) from all election results in the USA from 1940 until present times.http://www.tableausoftware.com/public/gallery/us-election-predictions (accessed on August 28, 2013)