Zara Market Share

Three generations of Data Management in Decision aliment 1. Early 1970s required a repository of data sourced from operational system + other data (e. g. external data) Data was customized for the specific DSS Application-centric approach data support a single or a few related lotions apply to help make the business case for the warahouse Sprague provided the Data-Dialog-Models (DDM) paradigm 2. Late mid-eighties Telecommunications, retailing and financial services industries built warehouses to store vast amounts of customer and sales-related data These industries remain leaders 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 warehousing changes in the way that warehouse data is used variant Previous data aims to understand what had already happened and to predict what would happen in the future * limit to influence real-time decisions and curr ent operations * Now real-time data (current decisions and critical business process) such as customer-facing and supply chain applications roll in the hay be significantly enhanced Real or Right metre ? 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. * big-ticket(prenominal) 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 warehousing Institutes prestigious Best Practices and Leadership Awards Real-time data warehouse provide the data that is required to implement 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. hose found in recollect centers and check-in processes, help firms become more customer-centric Terms describe firms use real-time BI real-time enterprise , zero latency organization utilisation of real-time BI * increase revenues and decrease costs => improve profitability e. g. Continental Airlines * taken a $30M investment in hardware, software and personnel to contribute over $500M in revenue, resulting in a ROI of over 1,000% Firms essential overcome both organizational and technical 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 mandatory 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 loaded into the warehouse * data must be analyzed and made available to oper ational 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