== Overview == === Introduction === * The 4V’s of Big Data [http://newcontext.com/the-4vs-of-big-data/ link] * NYT (2012) - The Age of Big Data [http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.html?pagewanted=print link] * McKinsey (2011) - Big data : The next frontier for innovation, competition, and productivity [http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation link] * EMC - Big Data: Big Opportunities to Create Business Value [http://www.emc.com/microsites/cio/articles/big-data-big-opportunities/LCIA-BigData-Opportunities-Value.pdf pdf] * IBM (2012) - Analytics: The real-world use of big data [http://www-935.ibm.com/services/us/gbs/thoughtleadership/ibv-big-data-at-work.html link] * IBM (2012) - Better Business Outcomes with Business Analytics [http://www.ibm.com/connect/ibm/attachments/G119542M94960B53/SW_Business_Analytics_YTW03101USEN.pdf pdf] * Gartner's Business Analytics Framework [http://www.gartner.com/imagesrv/summits/docs/na/business-intelligence/gartners_business_analytics__219420.pdf pdf] * The Deciding Factor: Big Data & Decision Making [http://www.capgemini.com/resource-file-access/resource/pdf/The_Deciding_Factor__Big_Data___Decision_Making.pdf pdf] * Business Data Lake [https://www.youtube.com/watch?feature=player_embedded&v=z7LS7Tm31Co Youtube] * (See also "Worldwide Big Data Technology and (IT) Services 2012-2016 Forecast") === Articles === * Interfaces (2010) - The Analytics Movement: Implications for Operations Research [http://pubsonline.informs.org/doi/abs/10.1287/inte.1100.0502?journalCode=inte pdf] * Big Data, Analytics and the Path from Insight to Value [http://sloanreview.mit.edu/article/big-data-analytics-and-the-path-from-insights-to-value/ MITSloan2011] * Business Intelligence and Analytics - From Big Data to Big Impact [http://www.misq.org/skin/frontend/default/misq/pdf/V36I4/SI_ChenIntroduction.pdf MISQ2012] * Data Science, Predictive Analytics, and Big Data [http://onlinelibrary.wiley.com/doi/10.1111/jbl.12010/abstract JBL2013] * Davenport - Big Data in Big Companies [http://www.sas.com/resources/asset/Big-Data-in-Big-Companies.pdf ‎SAS2013] [http://www.sas.com/content/dam/SAS/en_us/doc/research1/big-data-big-companies-executive-summary-106462.pdf summary] * Davenport - At the Big Data Crossroads: turning towards a smarter travel experience [http://www.amadeus.com/web/binaries/blobs/830/891/Amadeus_Big_Data.pdf pdf] * Big data: Challenges and opportunities, Infosys Labs Briefings. [http://www.infosys.com/infosys-labs/publications/infosyslabs-briefings/Pages/bigdata-challenges-opportunities.aspx 11 (1), 2013] * Special issue of Computers [http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=6527234 Jun. 2013] * Special issue of MIT Sloan Management Review [http://sloanreview.mit.edu/issue/2014-winter/ Dec. 2013] * Special issue of Future Generation Computer Systems [http://webgate.khu.ac.kr/f45071d/_Lib_Proxy_Url/www.sciencedirect.com/science/journal/0167739X/37/supp/C 37, 2014] * 서울연구원 - 빅데이터 관련 보고서 [https://www.si.re.kr/kr_admin_trend?searchfield=title&keys=%EB%B9%85%EB%8D%B0%EC%9D%B4%ED%84%B0 search] === Market === * Worldwide Big Data Technology and (IT) Services 2012-2016 Forecast [https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&ved=0CEcQFjAB&url=http%3A%2F%2Fdownload.microsoft.com%2Fdownload%2F7%2FB%2F8%2F7B8AC938-2928-4B65-B1B3-0B523DDFCDC7%2FIDC%2520Report-Worldwide%2520Big%2520Data%2520Technology%2520and%2520Services.pdf&ei=CrcAU8_-L8LcyQHV44CQDA&usg=AFQjCNHgiCBhHSmKlBmKAuep27fGT867pQ&sig2=SVsmgJMfZ82OgRL8pTJyfA&bvm=bv.61535280,d.aWc pdf] === Case Study === * 빅데이터국가포럼 빅데이터 사례 [http://www.bigdataforum.or.kr/?bid=report&category=2 link] * IBM Big Data Hub [http://www.ibmbigdatahub.com/ link] * IBM Analytics Case Studies [http://public.dhe.ibm.com/common/ssi/ecm/en/imm14097usen/IMM14097USEN.PDF pdf] * Oracle Data Warehousing and Big Data [http://www.oracle.com/technetwork/database/bi-datawarehousing/index.html link] * Use Cases [http://practicalanalytics.wordpress.com/2011/12/12/big-data-analytics-use-cases/ site] === Software === * IDC Market Analysis: Worldwide BA Software 2013–2017 Forecast and 2012 Vendor Shares [http://idcdocserv.com/241689e_sas pdf] * IBM Framework - Better business outcomes with IBM Big Data & Analytics [http://www.ibm.com/connect/ibm/attachments/G119542M94960B53/SW_Business_Analytics_YTW03101USEN.pdf pdf] * Simply Measured [http://simplymeasured.com/free-social-media-tools link] === Data Repository === * 공공데이터포털 [https://www.data.go.kr/ link] * 정부3.0 데이터개방 [http://www.gov30.go.kr/gov30/int/intro6.do link] * 중앙교통정보센터 - 도로 시간대별 속도정보 [http://www.utis.go.kr/stats/statsNewDate.do link] * UC Irvine Machine Learning Repository [http://archive.ics.uci.edu/ml/link] == Applications == ==== Big Data Analytics ==== ==== Business Process Analytics ==== * Business Process Analytics Using a Big Data Approach (IEEE IT Professional 2013) [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6560078 link] * Business Process Analytics (zur Muehlen & Spiro, 201?) [https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEwQFjAA&url=http%3A%2F%2Fwww.researchgate.net%2Fpublication%2F226858154_Business_Process_Analytics%2Ffile%2F3deec5170e959cfcc0.pdf&ei=XrsAU6_BEoSiyAGGkoDYAw&usg=AFQjCNH3U2Vnsunf7FMogwYz5YcqH2Y6pQ&sig2=DNNsyEJHatH7MhQFWr0gEQ&bvm=bv.61535280,d.aWc pdf] * Appian (White paper) [https://www.appian.com/bpm-software/bpm-components/bpm-analytics-reporting.jsp site] * A Framework to Support Business Process Analytics (Proceedings of KMIS, 2012) ==== Supply Chain Analytics ==== * Deloitte (2013) - Creating Value with Business Analytics - SCC Meeting [https://supply-chain.org/f/A.Patil_.Deloitte_0.pdf pdf] * Delivering Business Value through Supply Chain Analytics (Infosys, 2005) [http://www.infosys.com/supply-chain/white-papers/Documents/supply-chain-analytics.pdf pdf] * IBM (2011) - Business Analytics and the Supply Chain: The new path to value [https://www.utexas.edu/courses/lasdon/IBM.pdf pdf] * Supply Chain Insights - Big Data Handbook: How to Unleash the Big Data Opportunity (long white paper). [http://supplychaininsights.com/big-data-handbook/ site] * Big Data in Logistics (White paper) [http://www.dhl.com/en/about_us/innovation/research_development/bigdata.html pdf] * U.S. Roadmap for Material Handling & Logistics [http://www.mhlroadmap.org/roadmap.html pdf] ==== Service Analytics ==== ==== Social Media Analytics ==== ==== Transportation Analytics (including Human Mobility) ==== * Smart card data use in public transit: A literature review - TR- Part C [http://www.sciencedirect.com/science/article/pii/S0968090X1000166X link] * 서울시 교통정보센터 - TOPIS 3.0 [http://traffic.seoul.go.kr/archives/13341 link] ==== Computational Social Science ==== * Understanding the paradigm shift to computational social science in the presence of big data [http://www.sciencedirect.com/science/article/pii/S0167923613002212 link] == Trends in Industry == * Venture Beat [http://venturebeat.com/ link] * ReadWrite [http://readwrite.com/toc/ link] * IBM Software [http://www-01.ibm.com/software/ link] * SAS Customer Intelligence [http://www.sas.com/en_us/software/customer-intelligence.html link] * SAP Analytics [http://www.sap.com/pc/analytics/strategy.html link] * Siemens: Big Data in industrial applications [http://videolectures.net/dataforum2013_kress_big_data/ link] * Infosys SCM White Papers [http://www.infosys.com/supply-chain/white-papers/Pages/index.aspx link]