What is Business Intelligence? - Pikom

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Comparing various Approaches for BI MIS EIS DSS Datamart Definition Reports Periodic Typical Report A flavour Business Intelligence systems intended to facilitate and support the information and decision making needs of senior executives by providing easy access to both internal and external information relevant to meeting the strategic goals of the organisation A flavour Business Intelligence systems that is central to the organization and ensure that information can be shared across all functional levels and management hierarchy. A interactive software-based system intended to help decision makers compile useful information from a combination of raw data, documents, personal knowledge, or business models to identify and solve problems and make decisions Periodic reports or on demand Periodic reports or on demand Special reports that may only be generated once • Pre-specified report • Generic reports • Operational report MIS Reporting is all about giving managers feedback and doesn’t necessarily help directly with decision making • Spreadsheets and highlight charts • Web ready • GUI based Supports upper management in discovering problems and opportunities • Flexible & Adaptable reports • May not know what kind of report to generate until the problem surfaces; specialized reports Reports is produced through analytical modeling, not just computing an average, or plotting a graph A repository of data gathered from an enterprise-wide database or data warehouse or other data sources that is designed to serve a particular group of knowledge workers. Periodic reports or on demand • Dimensional reports • High level dashboard • Dynamic reporting Encourage user to do dynamic reporting independently Sample Output / Reports • Periodic Scheduled Reports • Exception Reports • Generic reports: Sales, Orders, Schedules, etc • Highlight charts • Top level financials • Detailed key performance indicator • Supply Chain Modeling • Price Point Modeling • What-if-analysis • sensitivity analysis • Goal-seeking analysis • Optimization analysis • Sales report by region, product, customer for a particular year • Organisational health dashboard © 2012 KPMG Business Advisory Sdn. Bhd., a company incorporated under the Malaysian Companies Act 1965 and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Malaysia. 24
Comparing various Approaches for BI MIS EIS DSS Datamart Benefit / Capabilities • Today MIS are becoming more flexible by providing access to information whenever needed • Monitoring performance (e.g. productivity information) • Corporate portals • Integrate internal and external applications • Web-based interface • Effective distribution of information • Encourage collaboration • Data visualization tools • Customized reports • Search engines • Speed up the process of decision making • Speeds up problem solving in an organization • Generates new evidence in support of a decision • Creates a competitive advantage over competition • Reveals new approaches to thinking about the problem space • Creates collective view by a group of users • Reporting and data analytic using segregated data from TP system without interfere its performance • Improve Slice and dice capabilities using dimension point of view • Better structure for historical data Weakness • Requires constant monitoring • Quality of outputs governed by quality of inputs • Lack of flexibility to update itself • High implementation costs • System may become slow, large, and hard to manage • Limited functionality, by design • Perceived as transferring decision authority to a software program • Unanticipated effects • Information overload • Data might be late because extraction / loading process • Get outdated relatively • There is possibility of fine line with operational system Tools & Technology • Any computerized processes that enable the department to run efficiently • Data resources such as databases • Integration services • enterprise level infrastructure • Forecasting & optimisation • Decision Tree Analysis • General Modelling and Problem Solving • Pre-packaged warehouse environments delivered using data warehouse/ mart appliances Trends • Risk Management Software (RMIS) • Claim, billing, policy admin on insurance management (iVOS) • IT outsourcing • Object-oriented applications development (OOAD) • Cloud computing • ERP • CRM • Spreadsheet Spatial Decision Support System (SDSS) was implemented as a Microsoft Excel Add-In • Wider indexing and fast performance within clusters of data. • Direct Integration of the consolidation process directly with forecasting Vendor • Aon Pte Ltd, Microsoft, SAP, Oracle, IBM, etc • SAS, IBM , SAP , Oracle etc • Vanguard Software Corp , IBM , SAP, SAS, Oracle, Analytica , etc • Microsoft, Teradata, Oracle, etc © 2012 KPMG Business Advisory Sdn. Bhd., a company incorporated under the Malaysian Companies Act 1965 and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Malaysia. 25
Page 1 and 2: Business Intelligence to Drive Busi
Page 3 and 4: Introduction to the Speakers BRADLE
Page 5 and 6: What is Business Intelligence? Busi
Page 7 and 8: But BI has not succeeded as promise
Page 9 and 10: And Top Drivers for Analytics Inves
Page 11 and 12: BI - More than Reporting There are
Page 13 and 14: Information Challenges, Pitfalls an
Page 15 and 16: Business Information Needs - Execut
Page 17 and 18: BI Success Factors Data • Define
Page 19 and 20: Different Approaches to Business In
Page 21 and 22: How does BI systems support Decisio
Page 23: Comparison of BI Approaches
Page 27 and 28: KPMG’s Integrated Approach to BI
Page 29 and 30: Performance and Risk Key Elements
Page 31 and 32: Our Enterprise BI Framework Our Bus
Page 33 and 34: Appendix

What is Business Intelligence? - Pikom

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