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분야
pptx2. Big data& Next-Generation Analytics
3. Insurance market case
4. Building system case
5. Public Offering service case
6. Manufacturing case
7. Trend and Future of BI
Set of applications and technologies of approaching, gathering, storing, analyzing data for quick and correct decision-making.
It includes
{data mining, data base& data warehouse, statistic analytics, prediction etc}
“An umbrella term to describe concepts and methods to improve business decision making by using fact-based support systems."
Business intelligence’s Goal
: Right Info to Right People at Right Time via Right Channel!
Support BETTER BUSINESS DECISION MAKING.
Big Data
As an input,
New circumstances called Big data will bring new opportunity& competitive advantage to firms via BI.
As development of BI,
BI can include unstructured& real time datum
Next-Generation Analytics
-subset of BI based on statistics, prediction, and optimization in advanced way.
What is Big Data?
Big data is not only huge, but also has various styles
and fast circulation speed. It is hard to manage and analysis
in existing technologies.
3 components of Big Data- 3V
Volume
Variety
Velocity
Volume
It is increasing that even general companies handle data
size of terabyte ~ petabyte.
Among the us companies, there are more than one third of
corporations secure 10TB size of analyzed data
Variety
Each data has all different size and contents, so more than
90% of data is hard to arrange in integrated structure.
ex) video, music, text message of social media, medical record etc.
Velocity
The time required to distribution and application after data generation shorten from several hours~ weeks to minutes, seconds.
ex) The news of Bin Laden's death retwitted 5000 per a minute
Now the world is in "Big Data" environment which is explosively increasing data.
Because of Big data, difficulties occurred in capture, storage, search, sharing, analytics and visualizing and management of data.
(One current feature of big data is the difficulty working with it using relational databases and desktop statistics/visualization packages, requiring instead "massively parallel software running on tens, hundreds, or even thousands of servers".)
Big data which is schema-less and unstructured type of data already exists for several years. But lack of mgt capability on huge and unstructured data, it was thrown out or used as a sample. However as tech grows, there’s a possibility of analyze Big data.
Big data can be used to create added value on business.
Therefore, the importance of analytics is growing faster than at any time in history.
Thus, It is time we need profound comprehension of Big Data and insight of opportunity it will create.
http://www.newspim.com/view.jsp?newsId=20120410000216
https://blogs.oracle.com/emeapartnerbiepm/entry/business_intelligence_gets_a_makeover
http://babe9990.tistory.com/112
http://www.sas.com/offices/asiapacific/korea/success/success.html
http://www.ddaily.co.kr/news/news_view.php?uid=90923
http://www.ciokorea.com/welcome?return_url=http://www.ciokorea.com/news/12574
http://blog.naver.com/mysask?Redirect=Log&logNo=140102851579
http://www.oracle.com/kr/industries/financial-services/index.html
http://terms.naver.com/entry.nhn?docId=14701
http://www.ciokorea.com/news/12551
http://cafe.naver.com/pgusn/285
http://www.biworld.co.kr
