184x Filetype PPT File size 0.06 MB Source: khamreang.msu.ac.th
Agenda • Business Analytics (BA): Overview • Online Analytical Processing (OLAP) • Reports and Queries • Multidimensionality • Advanced Business Analytics • Data Visualization • Geographic Information Systems (GIS) • Real-time Business Intelligence, Automated Decision Support (ADS), and Competitive Intelligence • Business Analytics and the Web: Web Intelligence and Web Analytics • Usage, Benefits, and Success of Business Analytics Business Analytics (BA): Overview • Business analytics (BA) is a broad category of applications and techniques for gathering, storing, analyzing, and providing access to data to help enterprise users make better business and strategic decisions. • BA is also known as analytical processing, BI tools, BI applications, and just BI. • BI is becoming a major tool for most medium and large corporations. Pizza Hut knows what kind of pizzas customers order, what kind of coupons they usually use, and how much customers spend in a given time period. • Marketing managers can run this information through a BI analysis that forecasts, for example, the probability of a customer’s next order. • The company then uses this information to determine marketing strategies to influence the customer to buy more pizzas without spending more on that marketing strategy than it has to. • Example: An analytic application used for a loan application might: – Calculate a credit-worthiness score – Automatically accept or deny the loan application – Select the loan limit – Select which credit card product (interest rate, payment terms, etc.) to issue to this application or which other type of loan to approve. Tools and Techniques of BA MicroStrategy’s classification of BA tools: • Enterprise reporting: highly formatted static reports destined for broad distribution. They are pixel-perfect report formats for operational reporting and dashboards. • Cube analysis: provide simple OLAP multidimensional slice-and- dice analytical capabilities to business managers in a limited-range environment. • Ad hoc querying and analysis: power users can query a database for any answer, slice-and-dice the entire database, and drill down to the lowest level of transactional information. • Statistical analysis and data mining: perform predictive analysis or to discover the cause-and-effect correlation between two metrics. • Report delivery and alerting: proactively send full reports or alerts to large user populations (internal and external), based on subscription, schedules, or threshold events in the database. Tools and Techniques of BA SAP’s classification of strategic enterprise management: operational, managerial, and strategic. SAP offers three levels of support: • Operational: SAP ERP mainly supports transaction processing on the operational level. • Managerial: middle managers can use SAP R/3 to access all reports, arranged by functional areas. Managers can make queries and drill down. • Strategic: SAP offers products under the title SAP SEM (Strategic Enterprise Management), which includes BA. Tools and Techniques of BA Executive information and support systems. Many BI activities evolved from two tools: • An executive information system (EIS) is a computer based system that serves the information needs of top executives. It provides rapid access to timely and relevant information, to aid in monitoring an organization’s performance by directly accessing management reports and to improve managerial growth and learning. • An EIS is very user friendly, is supported by graphics, and provides the capabilities of exception reporting (i.e., reporting only the results that deviate from a set standard) and drill down (i.e., investigating information in increasing details). • Executive support systems (ESS) is a comprehensive support system that goes beyond EIS to include analysis support, communications, office automation, and intelligence support.
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