资源描述
,Click to edit Master text styles,Second level,Third level,Fourth level,Fifth level,*,Click to edit Master title style,LOGO,LOGO,Click to edit Master text styles,Second level,Third level,Fourth level,Fifth level,Click to edit Master title style,Big Data:The Management Revolution,管理学专业英语教程（第四版）,Big Data:The Management Revol,Outlines,1,2,3,Introduction,Dimensions of Big Data,Five Management Challenges,Outlines123 Introduction Di,Introduction,We define,Big Data,as a,capability,that allows companies to,extract value,from large volumes of data,Like any capability,it requires investment in technologies,processes and governance.,Value,Introduction We define Bi,Variety,refers to the number of data types.Technological advances allow organizations to generate various types of structured,semi-structured,and unstructured data.,Velocity,refers to the speed at which data are generated and processed.,Volume,refers to the amount of data an organization or an individual collects and/or generates.,Dimensions of Big Data,What are the key difference between“Big Data and“analytics”?,Big Data analytics,Variety refers to the number o,SAS added two additional dimensions to big data:variability and complexity.,Variability,refers to the variation in data flow rates.,Complexity,refers to the number of data sources.,Oracle introduced,value,as an additional dimension of big data.Firms need to understand the importance of using big data to increase revenue,and consider the investment cost of a big data project.,Additional Dimensions of Big Data,Big Data analytics,IBM added,veracity,as a fourth dimension,which represents the unreliability and uncertainty latent in data sources.,SAS added two additional dimen,An integrated view of Big Data,The three edges of the integrated view of big data represent three dimensions of big data:volume,velocity,and variety.,Inside the triangle are the five dimensions of big data that are affected by the growth of the three triangular dimensions:veracity,variability,complexity,decay,and value.,The growth of the three-edged dimensions is negatively related to veracity,but positively related to complexity,variability,decay,and value.,An integrated view of Big Data,Impacts of Big Data Application,Personalization marketing,By exploiting big data from multiple sources,firms can deliver personalized product/service recommendations,coupons,and other promotional offers.,Better Pricing,Harnessing big data collected from customer interactions allows firms to price appropriately and reap the rewards.,Cost Reduction,Big data analytics leads to better demand forecasts,more efficient routing with visualization and real-time tracking during shipments,and highly optimized distribution network management.,Improved customer service,Big data analytics can integrate data from multiple communication channels(e.g.phone,email,instant message)and assist customer service personnel in understanding the context of customer problems holistically and addressing problems quickly.,Impacts of Big Data Applicatio,Five Management Challenges,Leadership,Talent Management,Technology Concerns,Decision Making,Company Culture,Big datas power does not erase the need for vision or human insight.,As data become cheaper,the complements to data become more valuable.,New technologies do require a skill set that is alien to most IT departments.,Its too easy to mistake correlation for causation and to find misleading patterns in the data.,Big Data,Five Management ChallengesLead,Technology Concerns-Big Data Security Challenges,Technology Concerns-Big Data,The Future of Big Data,Big datas emergence has not remained isolated to a few sectors or spheres of technology,instead,demonstrating broad applications,across industries.In light of this reality,companies must first pursue big data capabilities as necessary ground-level developments,which in turn may facilitate competitive advantages.Formidable challenges face firms in pursuit of big data integration,but the potential benefits of big data promise to positively impact company operations,marketing,customer experience,and more.,The Future of Big DataBig data,Text 2:Is Your Company Ready for a Digital Future?-Outline,Big Data Framework,Four Big Data Strategies,Four Pathways for Transformation,The Evolution of Big Data,1,2,3,4,Text 2:Is Your Company Ready,Big Data Framework,Social Analytics,Decision Science,Performance Management,Data Exploration,Data Type,Non-transactional Data,Transactional,Data,Measurement,Experimentation,Business Objective,Big Data Framework Social Anal,Big Data Framework,The First dimension-,Business Objective,When developing big data capabilities,companies try to measure or experiment.When measuring,organizations know exactly what they are looking for and look to see what the values of the measures are.When the objective is to experiment,companies treat questions as a hypothesis and use scientific methods to verify them.,The Second dimension-,Data Type,In their normal course of function
展开阅读全文