...Intelligence (BI) Index of Topics covered 1 What is BI 2 Applications of BI 3 Common Functions of BI 4 Requirement & Challenges of BI Implementation 5 Best Practices of BI 6 Case Study 7 Conclusion What is BI: BI is a broad category of applications and technology for gathering, storing and providing access to data to help enterprises make better decisions. It can provide information of various “Information Assets” in an organization and how they interact with each other. These assets include Customer Databases, SCM Information, Personnel data, Manufacturing, Sales & Marketing Activity. Applications of BI: BI can be applied to MARCKM * Measurement - performance metrics, benchmarking etc., * Analytics - data mining, process mining, predictive modeling * Reporting - Data visualization, Executive Information System * Collaboraton - Data sharing & Electronic Data Interchange. * Knowledge Management - This leads to regulatory compliance and learning management The term was used by Gartner group in 1996, “..... Data analysis, reporting and query tools can help business users wade through a sea of data to synthesize valuable information from it - which today collectively fall into a category of BI.” Common Functions & Requirements of BI Common functions of BI are reporting, analytics, data mining, process mining, complex event processing and predictive analysis. Requirement & Challenges of BI Implementation ...
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...Oracle® Business Intelligence Applications Installation Guide for Informatica PowerCenter Users Release 7.9.6.4 E35271-01 November 2012 Provides the steps to install and set up Oracle Business Intelligence Applications Release 7.9.6.4. Oracle Business Intelligence Applications Installation Guide for Informatica PowerCenter Users, Release 7.9.6.4 E35271-01 Copyright © 2009, 2012, Oracle and/or its affiliates. All rights reserved. Primary Author: P Brownbridge This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, the following notice is applicable: U.S. GOVERNMENT END USERS: Oracle programs, including any operating system, integrated software, any programs installed...
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...Inventory Valuation (continue) These are assumptions of sequencing, but should know the cost of associated with whatever went out. Four (4) key methods of inventory valuation Method # 1: First In First Out (FIFO) First items to come into inventory are the first to leave Last items to come into inventory remain in inventory Method 2 Last in First Out (L-I-F-O) Last (most recent) items to come into inventory are first to leave inventory 1st items to come in remain in Method 3# No assumptions regarding sequences in/out Each unit is assumed to have the same (Weighted Average) Unit Cost Weighted Average= $GAFS Finished Goods Unit Cost #units in GAFS Method 4: Specific Identification Method Exact Costs can be applied to exact (specific) # of units sold and remaining in (ending) inventory. Merchandising side we are only talking about finished goods. Under the Assumption of Inflation: FiFO LIFO COGS Lower Higher Gross Profit Higher Lower Ending Inventory Higher Lower For Merchandising Firms we really only dealing with Finished Goods BI=Beginning Inventory + Net Purchases *see week 1 notes = GAFS - Ending Inventory or Cost of Goods Sold = = Cost Of Goods Sold Ending Inventory Date |Description |#Units |Unit Cost |Total Value | |01/01/11 |BI |400 units |$5 per unit = |$2000 | |02/14/11 |Purchase |400 units |$7 per unit= |$2800 | |04/01/11 |Sale |200 units |- |- | |07/15/11 |Purchase...
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...monitor execution, and deliver critical insight to improve financial and operational performance 3. that BPM refers to the business processes, methodologies, metrics, and technologies used by enterprises to measure, monitor, and manage business performance 4. that BPM is an enterprise wide strategy that seeks to prevent organizations from optimizing local business at the expense of overall corporate performance; concentrates on enterprise-wide view. 5. that BPM = BI (monitor and analyze) + Planning (a unified solution) 6. understand that the closed-loop process (the BPM cycle) links strategy to execution in order to optimize business performance Using a closed-loop process to optimize business performance implies that four process steps are implemented: * Strategize - setting goals and objectives. Where do we want to go? * Plan - establishing initiatives and plans to achieve those goals. How do we get there? * Monitor – overseeing actual performance and comparing that to the goals and objectives. How are we doing? * Act and Adjust – taking corrective action. What do we need to do differently? 7. that the four steps of the closed-looped process are: (1) Strategize, (2) Plan, (3) Monitor, (4) Act and Adjust 8. that Strategize asks the question, Where Do We Want to Go? It requires setting goals and objectives 9. that Plan asks the question, How Do We Get There? It requires establishing initiatives and plans to achieve those...
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...Title : Preparation of bis (acetylacetonato)copper (II) Objective : I ) To synthesize the bis (acetylacetonato)copper (II) complex II) To determine the percentage yield of bis (acetylacetonato)copper (II) complex Background of study : Metal acetylacetonates, formed by a metal and multiple acetylacetonate anions, are prime examples of coordination complexes. In this experiment, the metal use is copper (II) ion which is crystal blue in colour when it is copper(II)nitrate. All metal ions in solution can react well with water. The water molecules can also be weakly bonded or more strongly as a ligand to form a complex ion, and these can also present in solid ‘hydrated’ salts of crystallization. For example, copper (II) nitrate (Cu(NO3)2∙3H2O) A complex ion has a metal ion at its center with a number of other molecules or ions surrounding it. These can be considered to be attached to the central ion by co-ordinate (dative covalent) bonds. The molecules or ions surrounding the central metal ion are called ligands. Simple ligands include water, ammonia and chloride ions. All ligands are lone pair donors. In other words, all ligands function as Lewis Bases. A base is an electron pair donor and an acid is an electron pair acceptor. Ligands like water, can donate a pair of non-bonding electrons(lone pair) intro a vacant orbital of a central metal ion and so dative covalent(co-ordinate) bonds hold a complex together. The central metal ion with vacant bonding orbitals can...
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...deployment Business intelligence has been widely adapted tool in analyzing the data that helps in decision making adding value to the business. Most of the data in BI has been driven by IT with most of the focus has been captured in the designing of the system as per the technical preconditions making sure that the benefits such as information sharing ,agility , flexibility , information sharing , collaboration and flexibility are maintained. The key challenge in using the BI is to add business value in my view, lies in the way the information and analytical frameworks used within the organisations with incremental usage of ad hoc reports. The actual value of the business rests on something beyond technical implementation i.e, strategic alignment of data to improve management or operational process of the business. There are subsequent failures observed in organisations in improvement on these aspects though company implements Business intelligence predicting to drive high margins with low costs. According to me one main attribute of enabling the human intelligence and the organisational intelligence is the Initiation of a plan for the way BI application would be used with available human community to any organisation before implementation starts. The steps that achieve the point of mention can be implemented by below steps. 1. IT vendor who starts implementing the business has to understand the organisations strategic drivers of the competition and related business goals. 2. To...
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...asgary29@gmail.com Seyed Vahid Mirhosseini MehrAlborz University, Tehran, Iran E-mail: vmirhosseini@gmail.com Abstract In today’s challenging business environment, it is a vital for organization to access useful information and knowledge. Business Intelligence (BI) is an umbrella concept for tools, techniques and solutions that helps managers to understand business situation. And BI tools can support informational knowledge needs of organizations. With respect to increasing trend of BI researches in BI concepts and applications, in this paper, recent researches and papers of academic journals in this field is systematically review to classify and prioritize the concepts and approaches of business intelligence. Consequently researches was classified in three, managerial, technical and system enables approaches to BI, and specification of each approach and future research quid was described. Keywords: Business Intelligence; Enterprise Intelligence Approaches Systems; Review Study; Business 1. Introduction Today, in the rapidly changing environment, need to correct and just-in-time information is not only necessary for success but also is required for remaining in competition. Business intelligence (BI) refers to a managerial philosophy and a tool used to help organizations manage and refine business information with the objective of making more effective business decisions (Ghoshal & Kim, 1986; Gilad & Gilad, 1986)....
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...2/16/2010 Attivio® 246 Walnut Street Newton, MA 02460 o +1.857.226.5040 | f +1.857.226.5072 | e info@attivio.com www.attivio.com BI Trends: The Next Generation of Performance Management Every year, technology research firm Gartner surveys 1,500 CIOs. As has been the case for several years, the firm’s 2010 survey1 revealed that BI applications are among the top technology focus areas for CIOs. And business process improvement is the top business priority for IT, followed immediately by reducing costs and improving the use of information and analytics. According to Bob Kaplan and David Norton, the creators of the Balanced Scorecard (the most commonly used performance management system2), “breakdowns in a company’s management system, not managers’ lack of ability or effort, are what cause a company’s underperformance.” Kaplan and Norton define a management system as the “integrated set of processes and tools that a company uses to develop its strategy, translate it into operational actions, and monitor and improve the effectiveness of both” and point out that “the failure to balance the tensions between strategy and operations is pervasive…with various studies published in the past 25 years indicating that 60% to 80% of companies are fall short of the success predicted from their strategies.”3 So why are CIOs spending so much time and energy on BI? These technologies are the platform for communicating, managing and measuring strategic, operational and tactical performance. The...
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...implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors. This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success. The study followed a two-stage qualitative approach. Firstly, the authors utilised the Delphi method to conduct three rounds of studies. The study develops a CSFs framework crucial for BI systems implementation. Next, the framework and the associated CSFs are delineated through a series of case studies. The empirical findings substantiate the construct and applicability of the framework. More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results. Keywords: Business intelligence system, Critical success factors, Delphi method, Case study INTRODUCTION Recently Business Intelligence (BI) applications have been dominating the technology priority list of many CIOs [11, 12]. According to Reinschmidt and Francoise [22], a BI system is “an integrated set of tools, technologies and programmed products that are used to collect, integrate, analyse and make data available”. Stated simply, the main tasks of a BI system include “intelligent exploration...
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...to achieve the costumer’s requirements on a web based solution or do you have to settle with an implementation of a standalone application? There are some factors that the answer depends on: performance, security, usability and implementation. The application that will be tested is developed in .Net and is a maintenance application for Business Intelligence (BI). We will have a short introduction to the Business Intelligence field to make you understand the purpose of the application. Keywords: Data Warehouse, web based, standalone, .NET, Business Intelligence Contents Abstract i Contents ii 1 Introduction 1 2 Background 3 2.1 Business Intelligence 3 2.1.1 The different steps in a Business Intelligence solution 4 2.2 Data Warehouse 4 2.3 Standalone vs. web based application 5 2.3.1 Standalone application 5 2.3.2 Web based application 5 2.3.3 Web or not from a Business Intelligence perspective 7 3 Method 9 3.1 Implementation 9 3.2 Performance 9 3.3 Security 9 3.4 Usability & Layout 10 4 Results 11 4.1 Implementation 11 4.2 Performance 13 4.3 Security 16 4.4 Usability & Layout 16 5 Analysis 19 5.1 Implementation 19 5.2 Performance 19 5.3 Security 20 5.4 Usability & Layout 21 5.5 Validity 21 6 Conclusion 22 7 References 23 8 Appendix 24 8.1 Appendix A – The different...
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...Justifying the Research Methods 4 3.4 The impact of BI on Sensible Solution Ltd 4 4. LITERATURE REVIEW 7 4.1 BI Architecture and components 8 4.2 Enterprise Resource Planning (ERP) 9 4.3 Levels Of Strategy Within An Organisation And Linkage To Bi 11 4.3.1 The Corporate Level Strategy 11 4.3.2 Business-Level Strategy 12 4.3.4 Operational Strategy 13 4.3.5 Bi implementation strategies 14 4.3.5 Balance Scorecard (BSC) 15 5. The Macro Environment of Sensible Solution Ltd 17 5.1 Swot Analysis 17 5.2 Pestle Analysis 18 6. CONCLUSION/RECOMMENDATIONS 19 7. REFERENCES 21 LIST OF FIGURES Figure 1:Linking Sensible Solution Ltd strategy and goals with Business Intelligence 5 Figure 2:Linkage in Organisation & Functional Benefits of Business Intelligence 6 Figure 3:What business intelligence means in practice 7 Figure 4:The Road Map of BPM define the steps that the company needs to follow as a guide to ensure that the I.T Strategic has the same goals as business strategy 9 Figure 5:ERP integration of all departments within organisation 10 Figure 6:The Enterprise Data Model is the Foundation for Linking Strategy and Analytic Capabilities - it Links the Data to the Business Strategy 11 Figure 7:Business Strategy and BI capabilities 12 Figure 8:The layout of Corporate Strategy, Business Strategy and Operational strategy Links to BI 13 Figure 9:The BI Pathway Methods 14 Figure 10:Business intelligence development process flow from requirements through...
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...Business intelligence (BI) is a popular and growing field that helps managers and decision-makers in deciding important decisions. Over the past two decades advancements in technology have elevated the importance of BI systems and software to an organized corporate strategy and overall success. Reliable and accurate BI systems are used by many large corporations; they can be custom-built by a service provider or by people working for the corporation. This is because they are very expensive, cutting edge software systems. Past research has shown that BI is one of the fastest-growing methods of intelligence gathering in the field. With all of the attention of advances in information technology (IT) and how helpful they are it is easy to overlook some of their repercussions. This paper highlights the importance of BI in decision-making areas and the techniques used to make them. Advantages and benefits are then discussed and one major problem is described in detail. Computer hacking is becoming more popular as the future comes closer and it is a larger problem than most think outside of the business world. The conclusion offers an insight into the future of BI and identifies the problem of hacking as its major threat. 1. Introduction Business intelligence (BI) has become one of the most successful and popular ways that an organization uses to answer specific questions or problems over the past 25 years and is vital to success. BI is a term that covers...
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...[BI-PROJECT REPORT] April 13, 2014 DATA MINING Analysis of Bike sharing dataset April 13, 2014 Group 007 MIS 6324 1 [BI-PROJECT REPORT] April 13, 2014 Project Report for Analysis of bike sharing dataset MIS-6324 Intro. to business intelligence software and techniques Prepared by Group Name Group007 Group Members Rohith Raj Abhay Joshi Sai Karan Jahnavi Papanaboina Under the guidance of Professor Kelly Slaughter, PhD Clinical Professor Information Systems University of Texas at Dallas MIS 6324 2 [BI-PROJECT REPORT] April 13, 2014 Table of Contents 1.Introduction to Data Mining ...................................................................................................................... 4 2. Background of the dataset ........................................................................................................................ 4 2.1 Description of dataset ......................................................................................................................... 5 3.Outline of Analysis ..................................................................................................................................... 6 4. The Methodology ...................................................................................................................................... 7 5. Pre-processing the dataset ...........................................................................................................
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...Decision support systems and Business Intelligence: an overview Contents Course introduction 1–3 Module one objectives 1–3 Use of Study Guide 1–3 Suggested study schedule 1–4 Readings 1–4 Changing business environments and computerised decision support 1–4 Managerial decision-making 1–5 Computerised support for decision making: systems and technologies 1–5 The systems 1–5 The technologies 1–5 A framework for decision support 1–6 Management science 1–6 Concept of decision support systems & business intelligence 1–7 DSS – BI connection 1–7 Course plan and themes 1–7 Conclusion 1–8 Course introduction This first module aims to provide an overview of the topic and provide the broad backdrop into which the other modules will fit. Today’s business environment is constantly changing, and it is becoming more and more complex. Private and public organizations are required to respond quickly to changing conditions; be it government regulations or informed customers or market conditions. This requires organizations to be agile and to make frequent and quick strategic, tactical, and operational decisions. Making such decisions may require considerable amounts of relevant data, information, and knowledge. Processing these, in the framework of the needed decisions, must be done quickly, frequently in real time, and usually requires some computerized support. This course is about using business intelligence as computerized support for managerial...
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...[Type text] DATA WAREHOUSE Introduction In todays competitive and information packed age, management, executives and business users need well organized data for decision support and for the organizational planning. Decision Support Systems (DSS) were developed to aid executives and managers to better understand the information and facilitate at making better decisions. But DSS has its own limitations. Due to the information requirement and their complexity, it was difficult for Decision Support System to extract all necessary information from the data. Therefore to overcome this drawback, a new data storage system, called the Data Warehouse was developed. What is a Data Warehouse? A data warehouse is a relational database. It is not used for daily routine transaction processing. It contains remarkable (having great significance) data derived from the transaction data. It also contains data from other sources like external systems, or applications. It is designed for query and analysis. Copyright 2011. Do not copy or publish any part of this document without author's permission. [Type text] Data Warehouse Vs Traditional Database A database is a collection of the relational data. Database system comprises of a database and database software. Similarly, a data warehouse is a collection of relational data as well as supporting system. If we look closer at it, we will find that both the traditional database and the data warehouse have indexes, fields, keys, views...
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