경영정보 Big data& Next-Generation Analytics

경영정보 Big data& Next-Generation Analytics [경영정보] Big data& Next-Generation Analytics.pptx 목차 1. What’s BI ? 2. 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 본문 What’s Business Intelligence(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 inexisting 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 Ladens 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. 본문내용 ket case 4. Building system case 5. Public Offering service case 6. Manufacturing case 7. Trend and Future of BI Business Intelligence 1. What’s 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} What’s Business Intelligence 참고문헌 http://blog.naver.com/glider0?Redirect=Log&logNo=10069194648 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