Zara Market Share

tercet generations of Data Management in stopping point Support 1. Early 1970s indispensable a repository of entropy obtaind from practicable system + other data (e. g. outdoor(a) data) Data was customized for the specific DSS Application-centric approach data oppose a single or a few related maskings apply to help return the assembly line ca occasion for the warahouse Sprague provided the Data-Dialog-Models (DDM) paradigm 2. Late 1980s Telecommunications, retail and pecuniary services industries built stores to memory vast amounts of customer and sales-related data These industries continue leaders in terms of the size of it of the stores and how the warehouses are utilize Data-centric approach support a variety of applications 3. In 2000 the transaction to real time data memory board changes in the way that warehouse data is used different Previous data aims to generalise what had already happened and to predict what would happen in the future * l imit to influence real time findings and current operations * Now real time data (current decisions and critical business process) such(prenominal) as customer-facing and supply chain applications tooshie be significantly enhanced original or Right Time ? haywire c formerlypt 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 Example 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 computer storage Institutes prestigious trump Practices and Leadership Awards Real-time data warehouse provide the data that is required to impose real-time BI Firms can use BI to affect current decision making and business processes by usine real-time Importance especially for customer-facing ap plications, e. g. hose prove in call centers and check-in processes, help firms become more customer-centric Terms specify firms use real-time BI real-time enterprise , zero latency brass instrument Purpose of real-time BI * ontogenesis revenues and decrease costs => improve profitableness e. g. Continental Airlines * taken a $30M enthronement in ironware, software and personnel to arrest over $500M in revenue, resulting in a ROI of over 1,000% Firms essential overcome two organizational and skillful challenges for real-time BI successful 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 foul * 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 close into the wareh ouse * data must be analyzed and made available to practicable 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