11 SAP & SQL Server 2005 Analysis Services Integration Microsoft Corporation SAP-Microsoft Competence Center (Tokyo) Microsoft Corporation SAP-Microsoft.

Slides:

Advertisements

Similar presentations

Microsoft Dynamics® AX 2012

Advertisements

DeepSee Embedded Real-Time BI Russia Symposium 2008.

Purpose: These slides are for use with customers by the Microsoft Dynamics NAV sales force and partners. How to use: Add these slides to the core customer.

Business Intelligence Simon Pease. Experience with BI Developing end-to-end BI prototype for Plan International Developing end-to-end BI prototype for.

Microsoft Dynamics AX 2009 Integration and Development with.NET Framework Business Intelligence: OLAP and Analytics.

Business Information Warehouse Business Information Warehouse.

Implementing Business Analytics with MDX Chris Webb London September 29th.

1 Lecture 10: More OLAP - Dimensional modeling

CSE6011 Warehouse Models & Operators  Data Models  relations  stars & snowflakes  cubes  Operators  slice & dice  roll-up, drill down  pivoting.

BI at TELUS MOLAP Software Contracts Cache Strategies Enterprise Priorities Diverse Client Base ETL/BI Flexibility Capacity Data Stewardship Performance.

Ch3 Data Warehouse part2 Dr. Bernard Chen Ph.D. University of Central Arkansas Fall 2009.

Introduction to OLAP cubes My name: ZULFIQAR SYED Holds BSEE from Illinois Institute of Technology, Chicago, ILLINOIS. Holds BSEE from Illinois Institute.

Enterprise Information Management (EIM): Bringing Together SSIS, DQS, and MDS Matt Masson Senior Program Manager Microsoft Corporation Matthew Roche Senior.

Master Data Services In SQL Server Denali Jeremy Kashel

SharePoint 2011 as a Business Intelligence Platform for On-Premise and Cloud Data Adis Jugo, Managing Consultant, PlanB. GmbH.

SharePoint 2010 Business Intelligence Module 3: Business Intelligence Center.

SQL Server Management Studio Introduction

©2012 Microsoft Corporation. All rights reserved..

What is it? QQube is a data extraction technology that will cut the time it takes to create reports or data analysis by 90% No more fussing with ODBC drivers.

Data Conversion to a Data warehouse Presented By Sanjay Gunasekaran.

Realizing Business Insights with PowerPivot

SharePoint 2011 as a Business Intelligence Platform for On-Premise and Cloud Data Adis Jugo, Managing Consultant, PlanB. GmbH.

DATA WAREHOUSING IN SQL SERVER 2005/2008 BUSINESS INTELLIGENCE.

Data Warehousing at STC MSIS 2007 Geneva, May 8-10, 2007 Karen Doherty Director General Informatics Branch Statistics Canada.

IMS 6217: Data Warehousing / Business Intelligence Part 3 1 Dr. Lawrence West, Management Dept., University of Central Florida Analysis.

CRM Analytics Architecture

Business Solutions Using Microsoft ® Office SharePoint ® Server ROADSHOW.

OLAP Theory-English version On-Line Analytical processing (Business Intelligence) [Ing.J.Skorkovský,CSc.] Department of corporate economy.

Pierre-Louis Usselmann, Ben Watt SOGETI Switzerland Master Data Services.

Microsoft Business Intelligence Environment Overview.

DATA DASHBOARDS USING MICROSOFT BI Dheeraj Chowdhury Group Leader Digital Media NSW Department of Education and Communities Curriculum and Learning Innovation.

ISQS 6339, Data Management and Business Intelligence Cubism – Bells and Whistles Zhangxi Lin Texas Tech University 1.

Module 1: Introduction to Data Warehousing and OLAP

MIS2502: Data Analytics The Information Architecture of an Organization.

Chapter 5 DATA WAREHOUSING Study Sections 5.2, 5.3, 5.5, Pages: & Snowflake schema.

Copyright© 2012 Microsoft Corporation Visio Services 2013 Advanced Data Linking Chris Hopkins Senior Consultant - Premier Developer Practice Microsoft.

1 Extending Drill Through to Oracle Transaction Level Detail from Hyperion Essbase.

Business Intelligence Transparencies 1. ©Pearson Education 2009 Objectives What business intelligence (BI) represents. The technologies associated with.

Sales Dim Date Dim Customers Dim Products Dim Categories Dim Geography The data warehouse is a simple and standard one, after all we.

Centre of Competence on data warehouse Workshop Helsinki Database Cube and Browsing the Cube Mark Rantala.

ISAM 5931: Data Warehousing & Data Mining Group Project submitted by : Mudassar Hakim & Gaurav Wadhwani.

Houston E-Retailers Presented BY: Bala AnuDeep Guduri (LEAD)

Drilling down Restrictions on data interaction between browser and server a new connection has to be made for each interaction Solution: break up the data.

11 SAP & SQL Server 2005 Integration Services Integration (Entry level) Microsoft Corporation SAP-Microsoft Competence Center (Tokyo) Microsoft Corporation.

1 Copyright © 2011, Oracle and/or its affiliates. All rights reserved. Introduction to Essbase.

11 SAP & SQL Server 2005 Integration Services Integration (Advanced level) Microsoft Corporation SAP-Microsoft Competence Center (Tokyo) Microsoft Corporation.

BI Reporting Tools Kalyn Kelly June 10, BI – Business Intelligence  A set of theories, methodologies, architectures, and technologies that transform.

Or How I Learned to Love the Cube…. Alexander P. Nykolaiszyn BLOG:

Data Warehousing and OLAP Outline u Models & operations u Implementing a warehouse u Future directions.

11 SAP & SQL Server 2005 Reporting Services (with Dundas Map) Integration Microsoft Corporation SAP-Microsoft Competence Center (Tokyo) Microsoft Corporation.

Develop Business Intelligence Application with Microsoft SharePoint 2013 Author: Vo Duy Anh.

Portfolio Analyzer Extender v. 1240

QAD Financial Report Writer

Reporting and Analysis With Microsoft Office

Data Warehousing CIS 4301 Lecture Notes 4/20/2006.

Using HANA Workshop.

Microsoft Dynamics NAV 2017

IBM COGNOS TM1 online Training in Chennai

Databases & Data Warehouses

Business Intelligence

Implementing Data Models & Reports with Microsoft SQL Server

University of Houston-Clear Lake Kaiser Permanente San Jose

How EMI Music Implemented Master Data Services with Adatis

Andi Comisioneru Principal Group Program Manager Microsoft Corporation

نرم افزار گزارش ساز کارنیک

Visual Studio 2005 Tools For Office: Creating A Multi-tier Application

Andi Comisioneru Principal Group Program Manager Microsoft Corporation

Analysis Services Analysis Services vs. the Data Warehouse vs. OLTP DB

Implementing Data Models & Reports with Microsoft SQL Server

Implementing a Distributed Enterprise Architecture to Deliver BI

Presentation transcript:

11 SAP & SQL Server 2005 Analysis Services Integration Microsoft Corporation SAP-Microsoft Competence Center (Tokyo) Microsoft Corporation SAP-Microsoft Competence Center (Tokyo)

2 Landscape Reporting on Web browser Multi dimensional add-hoc analysis on Excel Pivot table SAP R/3 Enterprise 4.7 Master (Product) Master (Customer) Master (Region) Master (Country) Master (Product type) Transaction (Sales header) Transaction (Sales detail) Master (Product) Master (Product type) Master (Customer all) Transaction (Sales all) * Major : Sales * Dimension : Product, Customer, Time SAP

33 Data source (on SQL Server) retrieved from SAP (by Integration Services) for customer dimension (on Analysis Services)

44 Data source (on SQL Server) retrieved from SAP (by Integration Services) for product dimension (on Analysis Services)

55

6 Data source (on SQL Server) retrieved from SAP (by Integration Services) for sales cube (on Analysis Services)

77 Goal: Sales analysis on Excel pivot table

8

9

10 Procedure 1. Defining data source and data source view 2. Creating customer dimension 3. Creating product dimension 4. Creating time dimension 5. Creating sales cube 6. Browsing dimensions and cube 7. Browsing cube on Excel

11 1. Defining data source and data source view (1)

12 1. Defining data source and data source view (2)

13 1. Defining data source and data source view (3)

14 1. Defining data source and data source view (4)

15 1. Defining data source and data source view (5)

16 1. Defining data source and data source view (6)

17 1. Defining data source and data source view (7)

18 1. Defining data source and data source view (8)

19 1. Defining data source and data source view (9)

20 1. Defining data source and data source view (10)

21 1. Defining data source and data source view (11)

22 1. Defining data source and data source view (12)

23 Procedure 1. Defining data source and data source view 2. Creating customer dimension 3. Creating product dimension 4. Creating time dimension 5. Creating sales cube 6. Browsing dimensions and cube 7. Browsing cube on Excel

24 2. Creating customer dimension (1)

25 2. Creating customer dimension (2)

26 2. Creating customer dimension (3)

27 2. Creating customer dimension (4)

28 2. Creating customer dimension (5)

29 2. Creating customer dimension (6)

30 2. Creating customer dimension (7) Drag each attribute (one by one) to create a hierarchy

31 Procedure 1. Defining data source and data source view 2. Creating customer dimension 3. Creating product dimension 4. Creating time dimension 5. Creating sales cube 6. Browsing dimensions and cube 7. Browsing cube on Excel

32 3. Creating product dimension (1)

33 3. Creating product dimension (2)

34 3. Creating product dimension (3)

35 3. Creating product dimension (4)

36 3. Creating product dimension (5)

37 3. Creating product dimension (6)

38 3. Creating product dimension (7) Drag each attribute (one by one) to create a hierarchy

39 Procedure 1. Defining data source and data source view 2. Creating customer dimension 3. Creating product dimension 4. Creating time dimension 5. Creating sales cube 6. Browsing dimensions and cube 7. Browsing cube on Excel

40 4. Creating time dimension (1)

41 4. Creating time dimension (2)

42 4. Creating time dimension (3)

43 4. Creating time dimension (4)

44 4. Creating time dimension (5)

45 Procedure 1. Defining data source and data source view 2. Creating customer dimension 3. Creating product dimension 4. Creating time dimension 5. Creating sales cube 6. Browsing dimensions and cube 7. Browsing cube on Excel

46 5. Creating sales cube (1)

47 5. Creating sales cube (2)

48 5. Creating sales cube (3)

49 5. Creating sales cube (4)

50 5. Creating sales cube (5)

51 5. Creating sales cube (6)

52 5. Creating sales cube (7)

53 5. Creating sales cube (8)

54 5. Creating sales cube (9)

55 Procedure 1. Defining data source and data source view 2. Creating customer dimension 3. Creating product dimension 4. Creating time dimension 5. Creating sales cube 6. Browsing dimensions and cube 7. Browsing cube on Excel

56 6. Browsing dimensions and cube (1)

57 6. Browsing dimensions and cube (2)

58 6. Browsing dimensions and cube (3)

59 6. Browsing dimensions and cube (4)

60 6. Browsing dimensions and cube (5)

61 6. Browsing dimensions and cube (6)

62 6. Browsing dimensions and cube (7)

63 6. Browsing dimensions and cube (8)

64 Procedure 1. Defining data source and data source view 2. Creating customer dimension 3. Creating product dimension 4. Creating time dimension 5. Creating sales cube 6. Browsing dimensions and cube 7. Browsing cube on Excel

65 Browsing cube on Excel (1)

66 Browsing cube on Excel (2)

67 Browsing cube on Excel (3)

68 Browsing cube on Excel (4)

69 Browsing cube on Excel (5)

70 Browsing cube on Excel (6)

71