Introduction to Business Analytics
اسلاید 1: Introduction to Business AnalyticsChapter 3: Business Analytics and Data VisualizationMatthew J. LiberatoreThomas CoghlanFall 2008
اسلاید 2: Learning ObjectivesList and briefly describe the major BA methods and toolsDescribe how online analytical processing (OLAP), data visualization, and multidimensionality can improve decision makingDescribe geographical information systems (GIS) and their support to decision making
اسلاید 3: Learning ObjectivesDescribe real-time BAExplain how the Web relates to BADescribe Web intelligence and Web analytics and their importance to organizationsDescribe implementation issues related to BA and success factors for BA
اسلاید 4: Lexmark Improves Operations with BIIdentify the challenges Lexmark faced regarding information flowHow were the information flows provided before and after implementation of the system?Identify the decisions supported by the new system.How can the new system improve customer service?Go to http://www.sas.com/industry/retail/tour/itour_noflash.html and take the interactive tour of the SAS Retail Intelligence product. Compare it to Oracle Retail (see http://www.oracle.com/applications/retail.html) and Oracle Active Retail Intelligence in particular
اسلاید 5: Business AnalyticsThe use of analytical methods, either manually or automatically, to derive relationships from data Remember that we defined business analytics (BA) to include the access, reporting, and analysis of data supported by software to drive business performance and decision makingThe Business Analytics (BA) Field: An Overview
اسلاید 6: The Business Analytics (BA) Field: An Overview
اسلاید 7: MicroStrategy’s classification of BA tools: The five styles of BI Enterprise reportingCube analysisAd hoc querying and analysisStatistical analysis and data miningReport delivery and alertingThe Business Analytics (BA) Field: An Overview
اسلاید 8: The Business Analytics (BA) Field: An Overview
اسلاید 9: SAP’s classification of strategic enterprise managementThree levels of supportOperationalManagerial Strategic The Business Analytics (BA) Field: An Overview
اسلاید 10: Executive information and support systems Executive information systems (EIS)Provides rapid access to timely and relevant information aiding in monitoring an organization’s performance Executive support systems (ESS)Also provides analysis support, communications, office automation, and intelligence support The Business Analytics (BA) Field: An Overview
اسلاید 11: Drill-downThe investigation of information in detail (e.g., finding not only total sales but also sales by region, by product, or by salesperson). Finding the detailed sourcesThe Business Analytics (BA) Field: An Overview
اسلاید 12: Online analytical processing (OLAP)An information system that enables the user, while at a PC, to query the system, conduct an analysis, and so on. The result is generated in seconds Some applications can be found at:http://www.olapreport.com/CaseStudiesIndex.htmOnline Analytical Processing (OLAP)
اسلاید 13: OLAP versus OLTP OLTP concentrates on processing repetitive transactions in large quantities and conducting simple manipulationsOLAP involves examining many data items complex relationshipsOLAP may analyze relationships and look for patterns, trends, and exceptionsOLAP is a direct decision support method Online Analytical Processing (OLAP)
اسلاید 14: Reports and Queries Reports Routine reports Ad hoc (or on-demand) reports Multilingual support Scorecards and dashboards Report delivery and alertingReport distribution through any touchpoint Self-subscription as well as administrator-based distribution Delivery on-demand, on-schedule, or on-event Automatic content personalization
اسلاید 15: Reports and Queries Ad hoc queryA query that cannot be determined prior to the moment the query is issued Structured Query Language (SQL)A data definition and management language for relational databases. SQL front ends most relational DBMS
اسلاید 16: Multidimensionality MultidimensionalityThe ability to organize, present, and analyze data by several dimensions, such as sales by region, by product, by salesperson, and by time (four dimensions)Multidimensional presentation Dimensions Measures Time
اسلاید 17: Multidimensionality Multidimensional databaseA database in which the data are organized specifically to support easy and quick multidimensional analysis Data cube A two-dimensional, three-dimensional, or higher-dimensional object in which each dimension of the data represents a measure of interest
اسلاید 18: Multidimensionality CubeA subset of highly interrelated data that is organized to allow users to combine any attributes in a cube (e.g., stores, products, customers, suppliers) with any metrics in the cube (e.g., sales, profit, units, age) to create various two-dimensional views, or slices, that can be displayed on a computer screen
اسلاید 19: Multidimensionality
اسلاید 20: Multidimensionality Multidimensional tools and vendors Tools with multidimensional capabilities often work in conjunction with database query systems and other OLAP tools Temtec Executive Viewer
اسلاید 21: Multidimensionality
اسلاید 22: Multidimensionality Limitations of dimensionality The multidimensional database can take up significantly more computer storage room than a summarized relational databaseMultidimensional products cost significantly more than standard relational productsDatabase loading consumes significant system resources and time, depending on data volume and the number of dimensionsInterfaces and maintenance are more complex in multidimensional databases than in relational databases
اسلاید 23: Advanced Business Analytics Data mining and predictive analysis Data mining Predictive analysis Use of tools that help determine the probable future outcome for an event or the likelihood of a situation occurring. These tools also identify relationships and patterns Several data mining tools will be discussed later
اسلاید 24: Data Visualization Data visualization A graphical, animation, or video presentation of data and the results of data analysis The ability to quickly identify important trends in corporate and market data can provide competitive advantageCheck their magnitude of trends by using predictive models that provide significant business advantages in applications that drive content, transactions, or processes
اسلاید 25: Data Visualization New directions in data visualization In the 1990s data visualization has moved into:Mainstream computing, where it is integrated with decision support tools and applicationsIntelligent visualization, which includes data (information) interpretation
اسلاید 26: Data Visualization
اسلاید 27: Data Visualization
اسلاید 28: Data Visualization New directions in data visualization Dashboards and scorecards Visual analysis http://www.lumina.com/software/influencediagrams.html influence diagramsFinancial data visualizationTree map examples:http://www.robkerr.com/post/2008/04/Favorite-Visualization-2-e28093-The-Performance-Map-(Heat-Map).aspxhttp://visudemos.ilog.com/webdemos/treemap/treemap.html
اسلاید 29: Geographic Information Systems (GIS)Geographical information system (GIS)An information system that uses spatial data, such as digitized maps. A GIS is a combination of text, graphics, icons, and symbols on maps
اسلاید 30: Geographic Information Systems (GIS)As GIS tools become increasingly sophisticated and affordable, they help more companies and governments understand:Precisely where their trucks, workers, and resources are locatedWhere they need to go to service a customerThe best way to get from here to there
اسلاید 31: Geographic Information Systems (GIS)GIS and decision making GIS applications are used to improve decision making in the public and private sectors including:Dispatch of emergency vehiclesTransit managementFacility site selectionDrought risk managementWildlife management Local governments use GIS applications for used mapping and other decision-making applications
اسلاید 32: Geographic Information Systems (GIS)GIS combined with GPS Global positioning systems (GPS)Wireless devices that use satellites to enable users to detect the position on earth of items (e.g., cars or people) the devices are attached to, with reasonable precision
اسلاید 33: Geographic Information Systems (GIS)GIS and the Internet/intranets Most major GIS software vendors provide Web access that hooks directly to their software GIS can help the manager of a retail operation determine where to locate retail outletsSome firms are deploying GIS on the Internet for internal use or for use by their customers (locate the closest store location) http://www.360networks.com/includes/popups/rate_center_map/map.asp
اسلاید 34: Real-Time BIThe trend toward BI software producing real-time data updates for real-time analysis and real-time decision making is growing rapidlyPart of this push involves getting the right information to operational and tactical personnel so that they can use new BA tools and up-to-the-minute results to make decisions
اسلاید 35: Real-Time BIConcerns about real-time systems An important issue in real-time computing is that not all data should be updated continuously when reports are generated in real-time because one person’s results may not match another person’s causing confusionReal-time data are necessary in many cases for the creation of ADS systems
اسلاید 36: BA and the Web: Web Intelligence and Web Analytics Using the Web in BA Web analytics The application of business analytics activities to Web-based processes, including e-commerce
اسلاید 37: BA and the Web: Web Intelligence and Web Analytics Clickstream analysis The analysis of data that occur in the Web environment.Clickstream dataData that provide a trail of the user’s activities and show the user’s browsing patterns (e.g., which sites are visited, which pages, how long)
اسلاید 38: BA and the Web: Web Intelligence and Web Analytics
اسلاید 39: Usage, Benefits, and Success of BA Usage of BA Almost all managers and executives can use some BA systems, but some find the tools too complicated to use or they are not trained properly. Most businesses want a greater percentage of the enterprise to leverage analytics; most of the challenges related to technology adoption involve culture, people, and processes
اسلاید 40: Usage, Benefits, and Success of BA Success and usability of BA Performance management systems (PMS) are BI tools that provide scorecards and other relevant information that decision makers use to determine their level of success in reaching their goals
اسلاید 41: Usage, Benefits, and Success of BA Why BI/BA projects fail Failure to recognize BI projects as cross-organizational business initiatives and to understand that, as such, they differ from typical standalone solutionsUnengaged or weak business sponsorsUnavailable or unwilling business representatives from the functional areas
اسلاید 42: Usage, Benefits, and Success of BA Why BI/BA projects fail Lack of skilled (or available) staff, or suboptimal staff utilizationNo software release concept (i.e., no iterative development method)No work breakdown structure (i.e., no methodology)
اسلاید 43: Usage, Benefits, and Success of BA Why BI/BA projects fail No business analysis or standardization activitiesNo appreciation of the negative impact of “dirty data” on business profitabilityNo understanding of the necessity for and the use of metadataToo much reliance on disparate methods and tools
اسلاید 44: Usage, Benefits, and Success of BA System development and the need for integration Developing an effective BI decision support application can be fairly complex Integration, whether of applications, data sources, or even development environment, is a major CSF for BI
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