Data Warehouse Management with SAP BW. Case Study Driver Ltd.
|
|
|
- Rosalind Sparks
- 10 years ago
- Views:
Transcription
1 Data Warehouse Management with SAP BW Case Study Driver Ltd. University of Economics and Business Administration of Vienna Department of Production Management Alexander Prosser Josef Auer Sarah Kellermann
2 2 1 Introduction The exemplary enterprise Driver Ltd. is a company founded in It produces three kinds of vehicles Trucks Cars Motor cycles and permanently keeps eye on continuous improvement of the entire business process, i.e. shareholder, customer, and employee satisfaction, as well as process improvement. After an overall business analysis in the year 2003, Driver Ltd. launched a business improvement campaign focussing on the business section identified as the one with the most improvement potential the production process. The campaign followed the determined strategy become market leader within the next five years. The target lines of the campaign, i.e. the lines with the highest profit margin, were identified as cars and trucks. After analysis of the production processes, additional investments of 20%, and 15% respectively of the lines capital were made in April 2004 parallel to the launch of the campaign. Additional investments in the motorcycle line were of negligible size. Restructuring the production process also required a reshuffle of employees which lead to a number of layoffs and great dissatisfaction of staff during the next periods. These two factors controlled the entire business process and thus key figures of the business year and demanded a number of initiatives and resources. In December 2004, as the turbulences are eased, Driver Ltd. wants to see how the production process campaign affected the other business objectives, especially with view to sustaining business success and guaranteeing continuous business improvement. For this purpose, the Balanced Scorecard lends itself to an appropriate means of business process analysis, performance measurement, as well as performance management.
3 3 As Driver Ltd. already works with an SAP system, the introduction of the Balanced Scorecard feature of the SAP Strategic Enterprise Management module is suggested. Imagine you are a business consultant authorised by the management board to implement a data source, then to set up a Scorecard and subsequently to analyse the last business year. The following information sections should give you an overview of the business parameters of the company, as well as of its values and goals.
4 4 2 Data Business Information Warehouse Since the SAP SEM module accesses data that is stored in the SAP Business Information Warehouse, an Info Cube must be created. The derived classical star schema of Driver Ltd. is depictured in Figure 1. DT Line L_Key L_li L_li_description level DT Period P_Key P_p P_y level Fact Table L_Key P_Key ROI Sales act. per. Sales pre-per. Av lead time Complaints Defects Fluctuation Av cycle time Figure 1: The classical star schema of Driver Ltd. The following Info Area and Info Cube should be created whereas 00 stands for the user number: Variable InfoArea Info Cube Input Value DRIVER_00 DR_00_BSC (Data files are available in the Download section of The key figures should be named as follows: Key Figure K00_ACT K00_FLU K00_OUT K00_DEF K00_CC K00_ALT K00_SAP K00_SPP K00_ROI Long description K00_average cycle time K00_fluctuation of employees K00_average output per employee K00_number of defects K00_customer complaints K00_average lead time K00_sales active period K00_sales past period K00_return on investment
5 5 The Info cube does not contain any hierarchies. The time dimension only contains 0CALMONTH. Any further information can be derived from the structure of the data file. The source system and application component should have the following notation: Variable Source System Application Component Input Value DR_00_SOSY DR_00_APPCOMP Data is loaded from a flat file system ( file system, manual meta data, data using file interface ). Transaction data should be updated directly. The sequence of transfer data again can be reviewed in the data file. Data flow within the BW system is repeated in Figure 2. Source System Transaction data Transfer Info source Update Info cube Transaction data Transfer Info source Update Figure 2: Overview of Data and Info Sources
6 6 3 Data Strategic Enterprise Management As data sources are available, the Balanced Scorecard can be implemented in the Strategic Enterprise Management module. As can be seen in the Fact Table of the preceding section, the star schema already includes the key figures used to build the Balanced Scorecard. But what is their position in the Balanced Scorecard? Looking at the corporate mission of Driver Ltd. ( Number one in delivering value to customers, employees, and shareholders ), goals and subsequently objectives could be derived in the scope of the Balanced Scorecard s four perspectives (Table 3-1). Each objective s target can be measured by one or more predefined key figures. To keep the exemplary Balanced Scorecard simple and still comprehensive, the number of key figures is limited to two per perspective (or one per objective). In reality, these key figures would not suffice to see the overall connections of the issue. Goals Objective Measure Financial financial performance Exceed Prosperity Exceed Success ROI Sales growth Customer customer satisfaction Fast delivery Reduce customer complaints Average lead time Number of customer complaints Internal Business business processes Increase quality Increase productivity Number of defects Average output per employee Learning & Growth employee satisfaction technology Improvement of employee satisfaction Improve technology Fluctuation Average cycle time Table 3-1: Translating goals into objectives and measures
7 The connections between the objectives of the several perspectives are depictured in the Value-Driver Chain below (Figure 3-1). 7 Financial Exceed Success Exceed Prosperity Customer Reduce Complaints Fast delivery Internal Increase Quality Increase Productivity Learning and Growth Employee Satisfaction Technology Improvement Figure 3-1: Cause-Effect Chain of Driver Ltd. The measures, i.e. the basic elements of the Scorecard should be named and described as follows (any further information can be derived from the data files): Measure Unit Formula description M00_ACT Hours Time from beginning to end of production process M00_FLU Number of Persons Number of employees leaving the company M00_OUT Units Average production output in relation to number of employees M00_DEF Units Number of defects M00_CC Units Number of customer complaints M00_ALT Days Time from point of order to point of delivery M00_SGR Percent Percentage change of sales numbers compared to pre-period M00_ROI Percent Amount of value received relative to the amount of money invested Table 3-2: Measure definition Please implement now the Balanced Scorecard for the Car line for the last business year (January 2004 to December 2004).
Microsoft 20466 - Implementing Data Models and Reports with Microsoft SQL Server
1800 ULEARN (853 276) www.ddls.com.au Microsoft 20466 - Implementing Data Models and Reports with Microsoft SQL Server Length 5 days Price $4070.00 (inc GST) Version C Overview The focus of this five-day
IMPLEMENTATION OF DATA WAREHOUSE SAP BW IN THE PRODUCTION COMPANY. Maria Kowal, Galina Setlak
174 No:13 Intelligent Information and Engineering Systems IMPLEMENTATION OF DATA WAREHOUSE SAP BW IN THE PRODUCTION COMPANY Maria Kowal, Galina Setlak Abstract: in this paper the implementation of Data
Implementing Data Models and Reports with Microsoft SQL Server 20466C; 5 Days
Lincoln Land Community College Capital City Training Center 130 West Mason Springfield, IL 62702 217-782-7436 www.llcc.edu/cctc Implementing Data Models and Reports with Microsoft SQL Server 20466C; 5
SAP BUSINESS OBJECTS BO BI 4.1 amron
0 Training Details Course Duration: 65 hours Training + Assignments + Actual Project Based Case Studies Training Materials: All attendees will receive, Assignment after each module, Video recording of
Data Warehouse Management Using SAP BW Alexander Prosser
Data Warehouse Management Using SAP BW Alexander Prosser Overview What problems does a data warehouse answer? SEITE 2 Overview CEO: We may have a problem in procurement. I have a feeling that we employ
Business Warehouse BEX Query Guidelines
Business Warehouse BEX Query Guidelines Table of contents Specific Query Design Guidelines... 2 Variables/Parameters/Prompts... 2 Key Figures... 2 Characteristics... 3 General Query Design Considerations
Run SAP Risk Management in Utilities to Get Business Value Fast
SAP Information Sheet SAP Solutions for Governance, Risk, and Compliance SAP Risk Management Quick Facts Run SAP Risk Management in Utilities to Get Business Value Fast Quick Facts Summary The SAP Risk
SAP BW Columnstore Optimized Flat Cube on Microsoft SQL Server
SAP BW Columnstore Optimized Flat Cube on Microsoft SQL Server Applies to: SAP Business Warehouse 7.4 and higher running on Microsoft SQL Server 2014 and higher Summary The Columnstore Optimized Flat Cube
A technical paper for Microsoft Dynamics AX users
s c i t y l a n a g n i Implement. d e d e e N is h c a o r Why a New app A technical paper for Microsoft Dynamics AX users ABOUT THIS WHITEPAPER 03 06 A TRADITIONAL APPROACH TO BI A NEW APPROACH This
Course duration: 45 Hrs Class duration: 1-1.5hrs
Course duration: 45 Hrs Class duration: 1-1.5hrs USA : +1 9099998808 India : +91-9986411022 mail : [email protected] SAP BO 4.0 Introduction Data warehouse concepts Difference between Versions
Measuring Program Effectiveness an introduction to the Performance Dashboard. Objectives
Measuring Program Effectiveness an introduction to the Performance Dashboard for the Ontario Literacy Coalition January 19 th 2012 Dr. Alan C. Middleton Objectives 1. to introduce the Performance Dashboard
IPMS Insurance Performance Management System
What s gets Measured gets Managed IPMS Insurance Performance Management System Our Value Proposition for : Achieving Clarity, Alignment and Accountability Yiannis Charalambous Chairman Gnosis Management
Implementing Data Models and Reports with Microsoft SQL Server
Course 20466C: Implementing Data Models and Reports with Microsoft SQL Server Course Details Course Outline Module 1: Introduction to Business Intelligence and Data Modeling As a SQL Server database professional,
CHAPTER 4: BUSINESS ANALYTICS
Chapter 4: Business Analytics CHAPTER 4: BUSINESS ANALYTICS Objectives Introduction The objectives are: Describe Business Analytics Explain the terminology associated with Business Analytics Describe the
Implementing Data Models and Reports with Microsoft SQL Server
CÔNG TY CỔ PHẦN TRƯỜNG CNTT TÂN ĐỨC TAN DUC INFORMATION TECHNOLOGY SCHOOL JSC LEARN MORE WITH LESS! Course 20466C: Implementing Data Models and Reports with Microsoft SQL Server Length: 5 Days Audience:
Key Performance Indicators used in ERP performance measurement applications
Key Performance Indicators used in ERP performance measurement applications A.Selmeci, I. Orosz, Gy. Györök and T. Orosz Óbuda University Alba Regia University Center Budai str. 45, H-8000 Székesfehérvár,
3 Introduction to SAP CPM
3 Introduction to SAP CPM SAP Corporate Performance Monitor (CPM) is an application that integrates the information coming from all different SAP modules into a well-known managerial system, the Balanced
SUPPORTING LOGISTICS DECISIONS BY USING COST AND PERFORMANCE MANAGEMENT TOOLS. Zoltán BOKOR. Abstract. 1. Introduction
SUPPORTING LOGISTICS DECISIONS BY USING COST AND PERFORMANCE MANAGEMENT TOOLS Zoltán BOKOR Department of Transport Economics Faculty of Transportation Engineering Budapest University of Technology and
Course Outline. Business Analysis & SAP BI (SAP Business Information Warehouse)
Course Outline Business Analysis & SAP BI (SAP Business Information Warehouse) This is a combo course of Business Analysis and SAP BI. Business Analysis sessions will cover all the topics from enterprise
A Practical Guide to SAP" NetWeaver Business Warehouse (BW) 7.0
Bharat Patel, Amol Palekar, Shreekant Shiralkar A Practical Guide to SAP" NetWeaver Business Warehouse (BW) 7.0 Galileo Press Bonn Boston Preface 17 An Introduction to Business Intelligence 21 1.1 ABCD
SAP BO 4.1 Online Training
WWW.ARANICONSULTING.COM SAP BO 4.1 Online Training Arani consulting 2014 A R A N I C O N S U L T I N G, H Y D E R A B A D, I N D I A SAP BO 4.1 Training Topics In this training, attendees will learn: Data
BW-EML SAP Standard Application Benchmark
BW-EML SAP Standard Application Benchmark Heiko Gerwens and Tobias Kutning (&) SAP SE, Walldorf, Germany [email protected] Abstract. The focus of this presentation is on the latest addition to the
Understanding the Value of In-Memory in the IT Landscape
February 2012 Understing the Value of In-Memory in Sponsored by QlikView Contents The Many Faces of In-Memory 1 The Meaning of In-Memory 2 The Data Analysis Value Chain Your Goals 3 Mapping Vendors to
MS 20467: Designing Business Intelligence Solutions with Microsoft SQL Server 2012
MS 20467: Designing Business Intelligence Solutions with Microsoft SQL Server 2012 Description: This five-day instructor-led course teaches students how to design and implement a BI infrastructure. The
Business Objects XI/R3.1 Corporate Training
Business Objects XI/R3.1 Corporate Training Introduction to Business Objects XI/R3.1 Reporting Platform Introduction to Business Objects Universe Business Objects Universe Design and Development Business
Department of Transport. Overseas drivers. How to get your driver's licence in Western Australia
Department of Transport Overseas drivers How to get your driver's licence in Western Australia This brochure will help you find out whether you need to get a Western Australian (WA) driver s licence and
East Asia Network Sdn Bhd
Course: Analyzing, Designing, and Implementing a Data Warehouse with Microsoft SQL Server 2014 Elements of this syllabus may be change to cater to the participants background & knowledge. This course describes
CHAPTER 5: BUSINESS ANALYTICS
Chapter 5: Business Analytics CHAPTER 5: BUSINESS ANALYTICS Objectives The objectives are: Describe Business Analytics. Explain the terminology associated with Business Analytics. Describe the data warehouse
From Brand Management to Global Business Management in Market-Driven Companies *
From Brand Management to Global Business Management in Market-Driven Companies * Emilio Zito ** Abstract Over the past several years, the most competitive mass-market companies (automobile, high-tech,
Customer Insight Appliance. Enabling retailers to understand and serve their customer
Customer Insight Appliance Enabling retailers to understand and serve their customer Customer Insight Appliance Enabling retailers to understand and serve their customer. Technology has empowered today
Data warehousing/dimensional modeling/ SAP BW 7.3 Concepts
Data warehousing/dimensional modeling/ SAP BW 7.3 Concepts 1. OLTP vs. OLAP 2. Types of OLAP 3. Multi Dimensional Modeling Of SAP BW 7.3 4. SAP BW 7.3 Cubes, DSO's,Multi Providers, Infosets 5. Business
Release Document Version: 1.4-2013-05-30. User Guide: SAP BusinessObjects Analysis, edition for Microsoft Office
Release Document Version: 1.4-2013-05-30 User Guide: SAP BusinessObjects Analysis, edition for Microsoft Office Table of Contents 1 About this guide....6 1.1 Who should read this guide?....6 1.2 User profiles....6
Super-Charged Oracle Business Intelligence with Essbase and SmartView
Specialized. Recognized. Preferred. The right partner makes all the difference. Super-Charged Oracle Business Intelligence with Essbase and SmartView By: Gautham Sampath Pinellas County & Patrick Callahan
Alexander Nikov. 2. Information systems and business processes. Learning objectives
INFO 1500 Introduction to IT Fundamentals 2. Information systems and business processes Learning objectives Define and describe business processes and their relationship to information systems. Evaluate
Protecting your interests
Legal protection for companies Protecting your interests Legal disputes regarding claims by employees, landlords, suppliers, customers or other persons and institutions harbor an undefinable financial
Managing Variety on the Internet - Strategic Competitive Advantage in the Automotive Industry
Managing Variety on the Internet - Strategic Competitive Advantage in the Automotive Industry Abstract Bjoern Mayland 5, Dr. Thomas Heiland 6 The use of digital technologies enables the automotive industry
DATA WAREHOUSE BUSINESS INTELLIGENCE FOR MICROSOFT DYNAMICS NAV
www.bi4dynamics.com DATA WAREHOUSE BUSINESS INTELLIGENCE FOR MICROSOFT DYNAMICS NAV True Data Warehouse built for content and performance. 100% Microsoft Stack. 100% customizable SQL code. 23 languages.
Oracle Warehouse Builder 10g
Oracle Warehouse Builder 10g Architectural White paper February 2004 Table of contents INTRODUCTION... 3 OVERVIEW... 4 THE DESIGN COMPONENT... 4 THE RUNTIME COMPONENT... 5 THE DESIGN ARCHITECTURE... 6
FI-GL Planning using SAP BPC. Avi Dear Solution Architect BPC Practice YASH Technologies
FI-GL Planning using SAP BPC Avi Dear Solution Architect BPC Practice YASH Technologies Agenda What is SAP BPC? What is SAP BPC RDS Scope of GL Financial Planning Users of GL Financial Planning Architecture
White Paper February 2009. IBM Cognos Supply Chain Analytics
White Paper February 2009 IBM Cognos Supply Chain Analytics 2 Contents 5 Business problems Perform cross-functional analysis of key supply chain processes 5 Business drivers Supplier Relationship Management
Integrating IBM Cognos TM1 with Oracle General Ledger
Integrating IBM Cognos TM1 with Oracle General Ledger Highlights Streamlines the data integration process for fast and precise data loads. Enables planners to drill back into transactional data for the
Building a Hybrid Data Warehouse Model
Page 1 of 13 Developer: Business Intelligence Building a Hybrid Data Warehouse Model by James Madison DOWNLOAD Oracle Database Sample Code TAGS datawarehousing, bi, All As suggested by this reference implementation,
Webinar. Feb 23 2012
An Feb 23 2012 Webinar David White Senior Product Manager [email protected] Tel: +972-54-6750323 Shir Goldberg Co-Founder & VP Biz Dev [email protected] Tel: +1 919 827 1194 This presentation
USAGE OF BUSINESS RULES IN SUPPLY CHAIN MANAGEMENT
TOTAL LOGISTIC MANAGEMENT No. 2 2009 PP. 5 13 Bartłomiej GAWEŁ, Anna PILCH USAGE OF BUSINESS RULES IN SUPPLY CHAIN MANAGEMENT Abstract: The growth of efficiency in supply chain management depends on the
Course Code CE609. Lecture : 03. Practical : 01. Course Credit. Tutorial : 00. Total : 04. Course Learning Outcomes
Course Title Course Code Business Intelligence CE609 Lecture : 03 Course Credit Practical : 01 Tutorial : 00 Course Learning Outcomes Total : 04 On the completion of the course, students will be able to:
SOLUTION: BUSINESS MANAGEMENT, MAY 2014. (b) Factors to consider when deciding on the appropriate structure for an organization include the following:
SOLUTION 1 (a) The structure of an organization defines the patterns of communication, the system of control and the command structure. (b) Factors to consider when deciding on the appropriate structure
Designing Business Intelligence Solutions with Microsoft SQL Server 2012 Course 20467A; 5 Days
Lincoln Land Community College Capital City Training Center 130 West Mason Springfield, IL 62702 217-782-7436 www.llcc.edu/cctc Designing Business Intelligence Solutions with Microsoft SQL Server 2012
MORE TRAFFIC FOR YOUR BUSINESS.
1 MSXI SERVICE LEAD MANAGEMENT MORE TRAFFIC FOR YOUR BUSINESS. fueled by challenge. powering success.sm 2 GLOBAL AUTOMOTIVE EXPERTISE. The MSXI Service Lead Management Solution assists OEMs, NSCs and dealerships
LEARNING SOLUTIONS website milner.com/learning email [email protected] phone 800 875 5042
Course 20467A: Designing Business Intelligence Solutions with Microsoft SQL Server 2012 Length: 5 Days Published: December 21, 2012 Language(s): English Audience(s): IT Professionals Overview Level: 300
Business Warehouse Reporting Manual
Business Warehouse Reporting Manual This page is intentionally left blank. Table of Contents The Reporting System -----------------------------------------------------------------------------------------------------------------------------
Exploring the Synergistic Relationships Between BPC, BW and HANA
September 9 11, 2013 Anaheim, California Exploring the Synergistic Relationships Between, BW and HANA Sheldon Edelstein SAP Database and Solution Management Learning Points SAP Business Planning and Consolidation
QlikView's Value Proposition to SAP Accounts
QlikView's Value Proposition to SAP Accounts Key Themes and Agenda Time To Value Performance Total Cost of Ownership SAP Background QlikView and SAP Business Warehouse Business Objects Common Data Warehouse
Global Material Master Data Management at Merck. Combining innovative solutions with a collaborative approach. Statement
CAMELOT management Consultants Customer Success Story Global Material Master Data Management at Merck Combining innovative solutions with a collaborative approach Merck has emphasized and given priority
SAP Business Objects BO BI 4.1
SAP Business Objects BO BI 4.1 SAP Business Objects (a.k.a. BO, BOBJ) is an enterprise software company, specializing in business intelligence (BI). Business Objects was acquired in 2007 by German company
Data Extraction and Retraction in BPC-BI
Data Extraction and Retraction in BPC-BI Applies to: Document is applicable to all the BPC 7.0 NW version users and the users BI 7.0 integration with BPC. For more information, visit the Enterprise Performance
ElegantJ BI. White Paper. Key Performance Indicators (KPI) A Critical Component of Enterprise Business Intelligence (BI)
ElegantJ BI White Paper Key Performance Indicators (KPI) A Critical Component of Enterprise Business Intelligence (BI) Integrated Business Intelligence and Reporting for Performance Management, Operational
Oracle Data Integrator: Administration and Development
Oracle Data Integrator: Administration and Development What you will learn: In this course you will get an overview of the Active Integration Platform Architecture, and a complete-walk through of the steps
DEFA Tracking - New product makes it easy to track down customers
DEFA Tracking - New product makes it easy to track down customers Crime is increasing every year And so is the demand for different security products. Almost every victim wants to get his property back
Load Building and Route Scheduling
Load Building and Route Scheduling for SAP ERP Optimization Excellence Advanced 3D Load Building and Dynamic Route Scheduling Designed for use with SAP ERP Maximize your SAP ERP capabilities for shipping
Shenzhen Institute of Standards and Technology (China)
Shenzhen Institute of Standards and Technology (China) 1 Summary Background and objectives of the project Four steps in the assessment Conclusions 2 Background Objective Assess the non-economic benefits
Service Relationship Management Driving Uptime in Commercial Vehicle Maintenance and Repair
Service Relationship Management Driving Uptime in Commercial Vehicle Maintenance and Repair Table of Contents 1 About Decisiv 2 Introduction 3 Quality and Process Improvements 4 Efficiency Metrics for
A Daimler company. FleetBoard Logistics Management Individual control of logistics processes more efficiency for your use
A Daimler company FleetBoard Logistics Management Individual control of logistics processes more efficiency for your use 1 FleetBoard Logistics Management Intelligent processing of logistics tasks The
Claim form Motor accident
Claim form Motor accident 30 EAGLE STAR INSURANCE COMPANY (IRELAND) LTD CGL 25495 A member of the Zurich Financial Services Group www.eaglestar.ie Motor accident Policy number: Claim number: This form
STRATEGIC AND FINANCIAL PERFORMANCE USING BUSINESS INTELLIGENCE SOLUTIONS
STRATEGIC AND FINANCIAL PERFORMANCE USING BUSINESS INTELLIGENCE SOLUTIONS Boldeanu Dana Maria Academia de Studii Economice Bucure ti, Facultatea Contabilitate i Informatic de Gestiune, Pia a Roman nr.
Data Warehousing (DW) Online Analytical Processing (OLAP) Data Mining
Business Intelligence Workshop, Helia, May, 2008 DBTechNet Data Warehousing (DW) Online Analytical Processing (OLAP) Data Mining Topics 1. Introduction to BI and CPM 2. ETL Process 3. DW Modeling 4. OLAP
Business Objects Dashboards Drive Performance Improvements at North Carolina s Department of Transportation
Business Objects Dashboards Drive Performance Improvements at North Carolina s Department of Transportation Tim Frost Manager, SAP Services North Carolina Department of Transportation Learning Points Implementation
SevenVentures Dr. Hari Sven Krishnan, October 10, 2012
SevenVentures Dr. Hari Sven Krishnan, October 10, 2012 October 10, 2012 Page 1 Recap: Seven Ventures @ Capital Markets Day 2011 Our aspirations Scale-up of SevenVentures portfolio Our achievements Signed
Cargo Secure Rethinking cargo insurance
Cargo Secure Rethinking cargo insurance www.cargosecure.ca We are listening to customers. Until now cargo insurance has been complicated, often filled with restrictive fine print, insufficient coverage
Frequently Asked Questions Plastic Card & National Driver Licence Service (NDLS)
Frequently Asked Questions Plastic Card & National Driver Licence Service (NDLS) What is happening to the driving licence? The way we manage driving licences in Ireland is about to change. From 19 January
By Makesh Kannaiyan [email protected] 8/27/2011 1
Integration between SAP BusinessObjects and Netweaver By Makesh Kannaiyan [email protected] 8/27/2011 1 Agenda Evolution of BO Business Intelligence suite Integration Integration after 4.0 release
University of Gaziantep, Department of Business Administration
University of Gaziantep, Department of Business Administration The extensive use of information technology enables organizations to collect huge amounts of data about almost every aspect of their businesses.
Leveraging the Microsoft BI Stack to provide a Digital Marketing Dashboard. Chris Kuelbs, Lead Project Manager Polaris Industries
Leveraging the Microsoft BI Stack to provide a Digital Marketing Dashboard Chris Kuelbs, Lead Project Manager Polaris Industries 1 About Polaris Annual 2009 sales of $1.6 billion Polaris designs, engineers,
Retail Information Systems Jörg Becker 1. Background. Purposes and Objectives. Reference Syllabi. Association for Information Systems (AIS)
Reference Syllabi Association for Information Systems (AIS) Retail Information Systems Jörg 1 1 University of Münster, Münster, Germany, [email protected] Recommended Citation, J. (2015), Retail
SAP BusinessObjects Business Intelligence (BOBI) 4.1
SAP BusinessObjects Business Intelligence (BOBI) 4.1 SAP BusinessObjects BI (also known as BO or BOBJ) is a suite of front-end applications that allow business users to view, sort and analyze business
Insurance Solutions. 17 October 2013. Risk Solutions
Insurance Solutions 17 October 2013 FORWARD LOOKING STATEMENTS This presentation contains forward looking statements within the meaning of Section 27A of the US Securities Act of 1933, as amended, and
QAD Business Intelligence Data Warehouse Demonstration Guide. May 2015 BI 3.11
QAD Business Intelligence Data Warehouse Demonstration Guide May 2015 BI 3.11 Overview This demonstration focuses on the foundation of QAD Business Intelligence the Data Warehouse and shows how this functionality
SMB Intelligence. Reporting
SMB Intelligence Reporting Introduction Microsoft Excel is one of the most popular business tools for data analysis and light accounting functions. The SMB Intelligence Reporting powered by Solver is designed
Oracle BI Application: Demonstrating the Functionality & Ease of use. Geoffrey Francis Naailah Gora
Oracle BI Application: Demonstrating the Functionality & Ease of use Geoffrey Francis Naailah Gora Agenda Oracle BI & BI Apps Overview Demo: Procurement & Spend Analytics Creating a ad-hoc report Copyright
BI4Dynamics provides rich business intelligence capabilities to companies of all sizes and industries. From the first day on you can analyse your
BI4Dynamics provides rich business intelligence capabilities to companies of all sizes and industries. From the first day on you can analyse your data quickly, accurately and make informed decisions. Spending
8 Characteristics of a Successful Data Warehouse
Abstract Paper TU01 8 Characteristics of a Successful Data Warehouse Marty Brown, Lucid Analytics Corp Most organizations are well aware that a solid data warehouse serves as the foundation from which
Sizing Logical Data in a Data Warehouse A Consistent and Auditable Approach
2006 ISMA Conference 1 Sizing Logical Data in a Data Warehouse A Consistent and Auditable Approach Priya Lobo CFPS Satyam Computer Services Ltd. 69, Railway Parallel Road, Kumarapark West, Bangalore 560020,
Lean Six Sigma Consulting
Lean Consulting A Joint Initiative between Lean International Board & Latitude 12 About Lean Lean and, together known as Lean, is a set of widely used Leadership and Management tools and techniques that
E-Business-Controlling using the Balanced Scorecard
E-Business-Controlling using the Balanced Scorecard Faribors Ronaghi Department of Knowledge Engineering, University of Vienna 1210 Vienna, Austria Email: [email protected] http://www.dke.univie.ac.at
From Traditional Functional Testing to Enabling Continuous Quality in Mobile App Development
From Traditional Functional Testing to Enabling Continuous Quality in Mobile App Development Introduction Today s developers are under constant pressure to launch killer apps and release enhancements as
Business Intelligence (BI) Data Store Project Discussion / Draft Outline for Requirements Document
Business Intelligence (BI) Data Store Project Discussion / Draft Outline for Requirements Document Approval Contacts Sign-off Copy Distribution (List of Names) Revision History Definitions (Organization
THE CONTRIBUTION OF THE BALANCED SCORECARD AS A STRATEGIC MANAGEMENT TOOL IN MANAGEMENT SUPPORT
Visión de Futuro Año 7, Nº1 Volumen Nº13, Enero - Junio 2010 URL de la Revista: www.fce.unam.edu.ar/revistacientifica/ URL del Documento: http://www.fce.unam.edu.ar/revistacientifica/index.php?option=com_content&view=article&id=184&itemid=51
IBM Cognos Performance Management Solutions for Oracle
IBM Cognos Performance Management Solutions for Oracle Gain more value from your Oracle technology investments Highlights Deliver the power of predictive analytics across the organization Address diverse
Preferred Strategies: Business Intelligence for JD Edwards
Preferred Strategies: Business Intelligence for JD Edwards For the fourth year in a row, Business Intelligence software tops the list for IT investments according to Gartner Research. If you are not currently
Creating Supply Chain Resilience Through Agile Six Sigma By Professor Martin Christopher & Christine Rutherford
June - August 2004 Creating Supply Chain Resilience Through Agile Six Sigma By Professor Martin Christopher & Christine Rutherford Today s global supply chains are, in effect, highly complex networks.
SQL Server 2012 Business Intelligence Boot Camp
SQL Server 2012 Business Intelligence Boot Camp Length: 5 Days Technology: Microsoft SQL Server 2012 Delivery Method: Instructor-led (classroom) About this Course Data warehousing is a solution organizations
