Zara Market Share

Three generations of selective information Management in Decision Support 1. Early 1970s required a secretaire of selective information sourced from operational system + other data (e. g. external data) Data was customized for the specific DSS Application-centric approach data can a single or a few related applications used to help make the commerce case for the warahouse Sprague provided the Data-Dialog-Models (DDM) paradigm 2. Late 1980s Telecommunications, retailing and monetary run industries built warehouses to store vast amounts of customer and sales-related data These industries remain leadership in terms of the size of the warehouses and how the warehouses are used Data-centric approach support a variety of applications 3. In 2000 the movement to real time data reposition changes in the way that warehouse data is used different preceding data aims to understand what had already happened and to predict what would happen in the upcoming * limit to influe nce real-time decisions and current operations * Now real-time data (current decisions and critical commercial enterprise process) such as customer-facing and supply cosmic string applications can be significantly enhanced Real or responsibility Time ? Incorrect concept applied to warehousing real-time = instantaneous Reason much of warehouse data cannot be captured and entered into the warehouse in seconds or minutes. * expensive difficult to make real-time * may not be a business need for real-time data slip Some source systems, e. g. a legacy COBOL program, is undated once a month Continental Airlines a leader in real-time business intelligence won The Data Warehousing Institutes reputable Best Practices and Leadership Awards Real-time data warehouse provide the data that is required to hold real-time BI Firms can use BI to affect current decision making and business processes by usine real-time Importance especially for customer-facing applications, e. g. ho se found in call centers and sign in processes, help firms become more customer-centric Terms describe firms use real-time BI real-time enterprise , zero latency organization mean of real-time BI * increase revenues and decrease costs => improve advantageousness e. g. Continental Airlines * taken a $30M investment in hardware, software and force-out to generate over $500M in revenue, resulting in a ROI of over 1,000% Firms moldiness overcome both organizational and technical challenges for real-time BI no-hit Organizational must be executive * sponsorship and support * initial and on-going financial support governance processes put in place * BI and data warehousing personnel with the requisite personnel Technical * acquire and implement new hardware and software * establish processes and procedures for supporting and managing real-time data feeds from source systems * data must be quickly transformed and make full into the warehouse * data must be analyzed and made obtainable to operational systems and personnel briefly discuss an application that illustrates Continentals use of real-time BI focus on the technical issues associated with Continentals implementation of real-time BI