Presentation on theme: "Learning Objectives Describe the major business intelligence (BI) implementation issues List some critical success factors of BI implementation Describe."— Presentation transcript:
1 Learning ObjectivesDescribe the major business intelligence (BI) implementation issuesList some critical success factors of BI implementationDescribe the importance and issues in integrating BI technologies and applicationsUnderstand the needs for connecting BI systems with other information systemsDefine on-demand BI and its advantages/limitationsList and describe representative privacy, major legal and ethical issues of BI implementation
2 Learning ObjectivesUnderstand Web 2.0 and its characteristics as related to BI and decision supportUnderstand social networking concepts, selected applications, and their relationship to BIDescribe how virtual world technologies can change the use of BI applicationsDescribe the integration of social software in BIKnow how Radio Frequency Identification (RFID) data analysis can help improve supply chain management (SCM) and other operationsDescribe how massive data acquisition techniques can enable reality mining
3 Opening Vignette… “BI Eastern Mountain Sports Increases Collaboration and Productivity”Company backgroundProblem descriptionProposed solutionResultsAnswer & discuss the case questions
4 Opening Vignette Collaborative Decision Making at Eastern Mountain Sports
5 Implementing BI – An Overview Decisional Factors in BI ImplementationReporting and analysis toolsFeatures, functionality, flexibility, scalabilityDatabaseScalability, performance, securityETL ToolsAccessibility, efficiency, usabilityCostsHardware/software, development/trainingBenefitsTangibles/intangibles - time saving, improved decisions/operations/customer satisfaction/
6 Implementing BI – An Overview Critical Success Factors for BI ImplementationBusiness driven methodology and project managementClear vision and planningCommitted management support and sponsorshipData management and quality issuesMapping the solutions to the user requirementsPerformance considerations of the BI systemRobust and extensible framework
7 Managerial Issues Related to BI Implementation System development and the need for integrationCost–benefit issues and justificationLegal issues and privacyBI and BPM today and tomorrowCost justification; intangible benefitsDocumenting and securing support systemsEthical issuesBI Project failures
8 BI and Integration Implementation Types of IntegrationFunctional integrationdifferent [physically separate] applications are provided/used as if it is a single systemPhysical integrationpackaging the hardware, software, and communication features required to accomplish functional integrationPrimary focus in BI (and in this book) is functional-application integration
9 BI and Integration Implementation Why integrate?To better implement a complete BI systemTo increase the capabilities of the BI applicationsTo enable real-time decision supportTo enable more powerful applicationsTo facilitate faster system developmentTo enhance support activities such as blogs, wikis, RSS feeds, etc.
10 BI and Integration Implementation Levels of BI IntegrationFunctional integration can be within the same BI or across different BI systemsIntegration across different BI systems can be accomplished in a loosely coupled fashion – input output passing, messaging (SOA)Integration within a BI system is more cohesive with several sub-systems constituting the wholeEmbedded Intelligent SystemsServing as the intelligent agents within BI
11 Connecting BI Systems to Databases and Other Enterprise Systems Virtually every BI application requires database or data warehouse accessMulti-tiered Application Architecture
12 Connecting BI Systems to Databases and Other Enterprise Systems Integrating BI applications and back-end systemsWeb scripting languages (e.g., PHP, JSP, ASP)Application integration servers (e.g., WebLogic)Enterprise application integration – integration of large systems (BI to ERP, SCM, CRM, KM, etc.)Integrating BI and ERP for DSSERP captures and stores dataBI converts data into information/knowledgeMiddleware?
13 On-Demand BI The limitations of Traditional BI Complex, time-consuming, expensiveThe On-Demand AlternativeOn-demand computing = Utility computingSaaS (Software as a service)Allows SMEs to utilize affordable BIOn-demand function alternativesInternally sharing licenses within a firmSharing licenses with many firms via an ASP
14 Benefits of On-Demand BI Ability to handle fluctuating demandFlexible use of the BI technology poolReduced investment/costHardware (servers and peripherals)Software (more features for less)Maintenance (centralized timely updates)Embodiment of recognized best practicesBetter flexibility and connectivity with other systems via SaaS infrastructureBetter RIO
15 The Limitations of On-Demand BI Integration of vendors’ software with company’s software may be difficultThe vendor can go out of business, leaving the company without a serviceIt is difficult or even impossible to modify hosted software for better fit with the users’ needsUpgrading may become a problemYou may relinquish strategic data to strangers (lack of privacy/security of corporate data)
16 Issues of Legality, Privacy and Ethics Legal issuesLiability for the actions of advice provided by BIWho is liable, if the software advice fails?PrivacyRight to be left alone and the right to be free from unreasonable personal intrusionsCollecting information about individualsThe Web and information collectionMobile user privacyHomeland security and individual privacy
17 Issues of Legality, Privacy and Ethics Ethics in Decision Making and SupportElectronic surveillanceSoftware piracyUse of proprietary databasesUse of intellectual property such as knowledgeComputer accessibility for workers with disabilitiesAccuracy of data, information, and knowledgeProtection of the rights of usersUse of corporate computers for non-work-related purposes (personal use of Internet while working)
18 Issues of Legality, Privacy and Ethics A Model of Ethical Problem Formulation
19 Emerging Topics in BI – An Overview Web 2.0 revolution as it relates to BI in (Section 6.7)Online social networks (Section 6.8)Virtual worlds as related to BI (Section 6.9)Integration social networking and BI (Section 6.10)RFID and BI (Section 6.11)Reality Mining (Section 6.12)
20 Emerging Topics in BI – An Overview The Future of BI Web 2.0 revolution as it related to BI (Section 6.7)Online social networks (Section 6.8)Virtual worlds as related to BI (Section 6.9)Integration social networking and BI (Section 6.10)RFID and BI (Section 6.11)Reality Mining (Section 6.12)
21 Emerging Topics in BI – An Overview In 2009, collaborative decision making emerged as a new product category that combines social software with business intelligence platform capabilities.In 2010, 20 percent of organizations will have an industry-specific analytic application delivered via software as a service as a standard component of their business intelligence portfolio.By 2012, business units will control at least 40 percent of the total budget for BI.By 2012, one-third of analytic applications applied to business processes will be delivered through coarse-grained application mashups.Because of lack of information, processes, and tools, through 2012, more than 35 percent of the top 5,000 global companies will regularly fail to make insightful decisions about significant changes in their business and markets.
22 The Web 2.0 RevolutionWeb 2.0: a popular term for describing advanced Web technologies and applications, including blogs, wikis, RSS, mashups, user-generated content, and social networksObjective: enhance creativity, information sharing, and collaborationDifference between Web 2.0 and Web 1.xUse of Web for collaboration among Internet users and other users, content providers, and enterprises
23 The Web 2.0 RevolutionWeb 2.0: an umbrella term for new technologies for both content as well as how the Web worksWeb 2.0 has led to the evolution of Web-based virtual communities and their hosting services, such as social networking sites, video-sharing sitesCompanies that understand these new applications and technologies—and apply the capabilities early on—stand to greatly improve internal business processes and marketing
24 The Web 2.0 Revolution Characteristics of the Web 2.0 The ability to tap into the collective intelligence of users. The more users contribute, the better.Data is made available in new or never-intended ways. Web 2.0 data can be remixed or “mashed up”.Web 2.0 relies on user-generated and user-controlled content and data (enhanced collaboration).Lightweight programming techniques and tools let nearly anyone act as a Web site developer.The virtual elimination of software-upgrade cycles makes everything a perpetual beta or work-in-progress and allows rapid prototyping, using the Web as an application development platform.
25 The Web 2.0 Revolution Characteristics of the Web 2.0 Users can access and manage applications entirely through a browser.An architecture of participation and digital democracy encourages users to add value to the application as they use it.There is a major emphasis on social networks and computing.Information sharing and collaboration is greatly supported.This allows for rapid and continuous creation of new business models.“dynamic content, rich user experience, metadata, scalability, open source, and freedom (net neutrality)”
27 Online Social Networking – Basics and Examples A social network is a place where people create their own space, or homepage, on which they write blogs; post pictures, videos, or music; share ideas; and link to other Web locations they find interesting.The mass adoption of social networking Web sites points to an evolution in human social interactionThe size of social network sites are growing rapidly, with some having over 100 million members – growth for successful ones 40 to 50 % in the first few years and 15 to 25 % thereafter
28 Online Social Networking – Social Network Analysis Software It is used to identify, represent, analyze, visualize, or simulate networks withNodes – agents, organizations, or knowledgeEdges – relationships identified from various types of input data (relational and non-relational)Various input and output file formats existSNA software tools includeBusiness-oriented social network tools such as InFlow and NetMinerSocial Networks Visualizer, or SocNetV, which is a Linux-based open source package
29 Mobile Social Networking Social networking where members converse and connect with one another using cell phones or other mobile devicesMySpace and Facebook offer mobile servicesMobile only services: Brightkite, and Fon11Basic types of mobile social networksPartnership with mobile carriers (use of MySpace over AT&T network)Without a partnership (“off deck”) (e.g., MocoSpace and Mobikade)Mobile Enterprise NetworksMobile Community Activities (e.g., Sonopia)
30 Major Social Network Services Facebook: The Network EffectLaunched in 2004 by Mark Zuckerberg (former Harvard student)It is the largest social network service in the world with over 500 million active users worldwideInitially intended for college and high school students to connected to other students at the same schoolIn 2006 opened its doors to anyone over 13; enabling Facebook to compete directly with MySpace.
31 Major Social Network Services Orkut: Exploring the Very Nature of Social Networking SitesThe brainchild of a Turkish Google programmerIt was to be Google's homegrown answer to MySpace and FacebookFormat is similar to others: a homepage where users can display every facet of their personal life they desire using various multimedia applicationsA major highlight of Orkut – ability to create and control communitiesAlso supports many languages
32 Implications of Business and Enterprise Social Networks Business oriented social networks can go beyond “advertising and sales”Emerging enterprise social networking apps:Finding and Recruiting WorkersSee Application Case 14.2 for a representative exampleManagement Activities and SupportTrainingKnowledge Management and Expert Locatione.g., innocentive.com; awareness.com; CaterpillarEnhancing CollaborationUsing Blogs and Wikis Within the Enterprise …>
33 Implications of Business and Enterprise Social Networks Survey shows that best-in-class companies use blogs and wikis for the following applications:Project collaboration and communication (63%)Process and procedure document (63%)FAQs (61%)E-learning and training (46%)Forums for new ideas (41%)Corporate-specific dynamic glossary and terminology (38%)Collaboration with customers (24%)
34 Virtual WorldsVirtual worlds have existed for a long time in various forms — stereoscopes, Cinerama, simulators, computer games, …They are artificial worlds created by computer systems in which the user has the impression of being immersedExamples:Second Life (secondlife.com)Google Lively (lively.com)EverQuest (everquest.com)Avatars ?
35 Second Life as a DSS Advantages: Easy access and low cost Experienced and dedicated designer/buildersTools and venues for communications-driven decision support (DecisionSupportWorld.com)A large, dedicated user baseImpression management / creativity enhancementTime compressionEasy data integration from real life using RSS feedsEncourages active participation and experiential learning
36 Second Life as a DSS Disadvantages: Learning time and training costs Distractions are numerousPranksters and spam are commonTechnology problems persistChat is a very slow communication toolResistance to useAddictionParticipation in most of these virtual environments requires downloading of a "plug-in"
38 Social Networks and BI: Collaborative Decision Making Collaborative decision making (CDM) – combines social software and BICDM is a category of decision-support system for non-routine, complex decisions that require iterative human interactions.Ad hoc tagging regarding value, relevance, credibility, and decision context can substantially enrich both the decision process and the content that contributes to the decisions.Tying BI to decisions and outcomes that can be measured will enable organizations to better demonstrate the business value of BI.
40 RFID and BI Wal-Mart's RFID mandate in June 2003 DoD, Target, Albertson's, Best Buy,…RFID is a generic technology that refers to the use of radio frequency waves to identify objects.RFID is a new member of the automatic identification technologies family, which also includes the ubiquitous barcodes and magnetic strips.
41 How does RFID work? RFID system Tags a tag (an electronic chip attached to the product to be identified)an interrogator (i.e., reader) with one or more antennae attacheda computer (to manage the reader and store the data captured by the reader)TagsActive tag versus Passive tags
42 Data Representation for RFID RFID tags contain 96 bits of data in the form of serialized global trade identification numbers (SGTIN) [see epcglobalinc.org]
43 RFID for Supply Chain BI RFID in Retail SystemsFunctions in a distribution centerreceiving, put-away, picking, and shippingSequence of operations at a receiving dockunloading the contents of the trailerverification of the receipt of goods against expected delivery (purchase order)documentation of the discrepancyapplication of labels to the pallets, cases, itemssorting of goods for put-away or cross-dock
44 RFID for Supply Chain BI RFID in Retail Systems
46 RFID for BI in Supply Chain Better SC visibility with RFID systemsTiming/duration of movements between different locations – especially important for products with limited shelf lifeBetter management of out-of-stock items (optimal restocking of store shelves)Help streamline the backroom operations: eliminate unnecessary case cycles, reordersBetter analysis of movement timings for more effective and efficient logistics
47 RFID + Sensors for Better BI Knowing the location and health of goods (i.e., exception) during transportation
48 Reality MiningIdentifying aggregate patterns of human activity trends (see sensenetworks.com by MIT & Columbia University)Many devices send location informationCars, buses, taxis, mobile phones, cameras, and personal navigation devicesUsing technologies such as GPS, WiFi, and cell tower triangulationEnables tracking of assets, finding nearby services, locating friends/family members, …
49 Reality Mining Citisense: finding people with similar interests A map of an area of San Francisco with density designation at place of interestsSee for real-time animation of the content.