What is the cost splitting structure table

what is the cost splitting structure table?

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  • What is the concept behind using table PA0002 and structure p0002.

    Hi,
    What is the concept behind using table PA0002 and structure p0002.
    Many times, I have seen Looping at structure e.g. p0002, p0006 etc. and data is processed and also seen Looping at table PA0002, PA0006 etc. with further appropriate subtypes if any to retrieve a value and process the same.
    In which context tables like PA,HRP,IT etc. are used and structures p0001,p0002 etc. are used.
    Regards,
    Ameet

    HI,
    As mentioned  that that Structure Pnnnn is user as a internal tablw when a LDB is used.
    Ex.
    TABLES: PERNR.
    INFOTYPES: 0001.
      GET PERNR.
        PROVIDE * FROM P0001 BETWEEN PN-BEGDA AND PN-ENDDA.
        WRITE:  / P0001-PERNR,
                  P0001-STELL,
                  P0001-BEGDA,
                  P0001-ENDDA.
        ENDPROVIDE.
    Here it is important to declare the infotypes you want to read  and so the system will create internal tables  ex. P0001.
    Tables PA0001 are database table with following fields
    MANDT
    .INCLUDE  PAKEY
    .INCLUDE  PSHD1
    .INCLUDE   PS nnnn
    Thanks,
    Poonam.

  • What is BI ? How we implement & what is the cost to implement ?

    What is BI ? How we implement & what is the cost to implement ?
    Thanks,
    Sumit.

    Hi Sumit,
                        Below is the description according to ur query
    Business Intelligence is a process for increasing the competitive advantage of a business by intelligent use of available data in decision making. This process is pictured below.
    The five key stages of Business Intelligence:
    1.     Data Sourcing
    2.     Data Analysis
    3.     Situation Awareness
    4.     Risk Assessment
    5.     Decision Support
    Data sourcing
    Business Intelligence is about extracting information from multiple sources of data. The data might be: text documents - e.g. memos or reports or email messages; photographs and images; sounds; formatted tables; web pages and URL lists. The key to data sourcing is to obtain the information in electronic form. So typical sources of data might include: scanners; digital cameras; database queries; web searches; computer file access; etcetera.
    Data analysis
    Business Intelligence is about synthesizing useful knowledge from collections of data. It is about estimating current trends, integrating and summarising disparate information, validating models of understanding, and predicting missing information or future trends. This process of data analysis is also called data mining or knowledge discovery. Typical analysis tools might use:-
    u2022     probability theory - e.g. classification, clustering and Bayesian networks; 
    u2022     statistical methods - e.g. regression; 
    u2022     operations research - e.g. queuing and scheduling; 
    u2022     artificial intelligence - e.g. neural networks and fuzzy logic.
    Situation awareness
    Business Intelligence is about filtering out irrelevant information, and setting the remaining information in the context of the business and its environment. The user needs the key items of information relevant to his or her needs, and summaries that are syntheses of all the relevant data (market forces, government policy etc.).  Situation awareness is the grasp of  the context in which to understand and make decisions.  Algorithms for situation assessment provide such syntheses automatically.
    Risk assessment
    Business Intelligence is about discovering what plausible actions might be taken, or decisions made, at different times. It is about helping you weigh up the current and future risk, cost or benefit of taking one action over another, or making one decision versus another. It is about inferring and summarising your best options or choices.
    Decision support
    Business Intelligence is about using information wisely.  It aims to provide warning you of important events, such as takeovers, market changes, and poor staff performance, so that you can take preventative steps. It seeks to help you analyse and make better business decisions, to improve sales or customer satisfaction or staff morale. It presents the information you need, when you need it.
    This section describes how we are using extraction, transformation and loading (ETL) processes and a data warehouse architecture to build our enterprise-wide data warehouse in incremental project steps. Before an enterprise-wide data warehouse could be delivered, an integrated architecture and a companion implementation methodology needed to be adopted. A productive and flexible tool set was also required to support ETL processes and the data warehouse architecture in a production service environment. The resulting data warehouse architecture has the following four principal components:
    u2022 Data Sources
    u2022 Data Warehouses
    u2022 Data Marts
    u2022 Publication Services
    ETL processing occurs between data sources and the data warehouse, between the data warehouse and data marts and may also be used within the data warehouse and data marts.
    Data Sources
    The university has a multitude of data sources residing in different Data Base Management System (DBMS) tables and non-DBMS data sets. To ensure that all relevant data source candidates were identified, a physical inventory and logical inventory was conducted. The compilation of these inventories ensures that we have an enterprise-wide view of the university data resource.
    The physical inventory was comprised of a review of DBMS cataloged tables as well as data sets used by business processes. These data sets had been identified through developing the enterprise-wide information needs model.
    3
    SUGI 30 Focus Session
    The logical inventory was constructed from u201Cbrain-stormingu201D sessions which focused on common key business terms which must be referenced when articulating the institutionu2019s vision and mission (strategic direction, goals, strategies, objectives and activities). Once the primary terms were identified, they were organized into directories such as u201CProjectu201D, u201CLocationu201D, u201CAcademic Entityu201D, u201CUniversity Personu201D, u201CBudget Envelopeu201D etc. Relationships were identified by recognizing u201Cnatural linkagesu201D within and among directories, and the u201Cdrill-downsu201D and u201Croll-upsu201D that were required to support u201Creport byu201D and u201Creport onu201D information hierarchies. This exercise allowed the directories to be sub-divided into hierarchies of business terms which were useful for presentation and validation purposes.
    We called this important deliverable the u201CConceptual Data Modelu201D (CDM) and it was used as the consolidated conceptual (paper) view of all of the Universityu2019s diverse data sources. The CDM was then subjected to a university-wide consultative process to solicit feedback and communicate to the university community that this model would be adopted by the Business Intelligence (BI) project as a governance model in managing the incremental development of its enterprise-wide data warehousing project.
    Data Warehouse
    This component of our data warehouse architecture (DWA) is used to supply quality data to the many different data marts in a flexible, consistent and cohesive manner. It is a u2018landing zoneu2019 for inbound data sources and an organizational and re-structuring area for implementing data, information and statistical modeling. This is where business rules which measure and enforce data quality standards for data collection in the source systems are tested and evaluated against appropriate data quality business rules/standards which are required to perform the data, information and statistical modeling described previously.
    Inbound data that does not meet data warehouse data quality business rules is not loaded into the data warehouse (for example, if a hierarchy is incomplete). While it is desirable for rejected and corrected records to occur in the operational system, if this is not possible then start dates for when the data can begin to be collected into the data warehouse may need to be adjusted in order to accommodate necessary source systems data entry u201Cre-worku201D. Existing systems and procedures may need modification in order to permanently accommodate required data warehouse data quality measures. Severe situations may occur in which new data entry collection transactions or entire systems will need to be either built or acquired.
    We have found that a powerful and flexible extraction, transformation and loading (ETL) process is to use Structured Query Language (SQL) views on host database management systems (DBMS) in conjunction with a good ETL tool such as SAS® ETL Studio. This tool enables you to perform the following tasks:
    u2022 The extraction of data from operational data stores
    u2022 The transformation of this data
    u2022 The loading of the extracted data into your data warehouse or data mart
    When the data source is a u201Cnon-DBMSu201D data set it may be advantageous to pre-convert this into a SAS® data set to standardize data warehouse metadata definitions. Then it may be captured by SAS® ETL Studio and included in the data warehouse along with any DBMS source tables using consistent metadata terms. SAS® data sets, non-SAS® data sets, and any DBMS table will provide the SAS® ETL tool with all of the necessary metadata required to facilitate productive extraction, transformation and loading (ETL) work.
    Having the ability to utilize standard structured query language (SQL) views on host DBMS systems and within SAS® is a great advantage for ETL processing. The views can serve as data quality filters without having to write any procedural code. The option exists to u201Cmaterializeu201D these views on the host systems or leave them u201Cun-materializedu201D on the hosts and u201Cmaterializeu201D them on the target data structure defined in the SAS® ETL process. These choices may be applied differentially depending upon whether you are working with u201Ccurrent onlyu201D or u201Ctime seriesu201D data. Different deployment configurations may be chosen based upon performance issues or cost considerations. The flexibility of choosing different deployment options based upon these factors is a considerable advantage.
    4
    SUGI 30 Focus Session
    Data Marts
    This component of the data warehouse architecture may manifest as the following:
    u2022 Customer u201Cvisibleu201D relational tables
    u2022 OLAP cubes
    u2022 Pre-determined parameterized and non-parameterized reports
    u2022 Ad-hoc reports
    u2022 Spreadsheet applications with pre-populated work sheets and pivot tables
    u2022 Data visualization graphics
    u2022 Dashboard/scorecards for performance indicator applications
    Typically a business intelligence (BI) project may be scoped to deliver an agreed upon set of data marts in a project. Once these have been well specified, the conceptual data model (CDM) is used to determine what parts need to be built or used as a reference to conform the inbound data from any new project. After the detailed data mart specifications (DDMS) have been verified and the conceptual data model (CDM) components determined, a source and target logical data model (LDM) can be designed to integrate the detailed data mart specification (DDMS) and conceptual data model (CMD). An extraction, transformation and loading (ETL) process can then be set up and scheduled to populate the logical data models (LDM) from the required data sources and assist with any time series and data audit change control requirements.
    Over time as more and more data marts and logical data models (LDMu2019s) are built the conceptual data model (CDM) becomes more complete. One very important advantage to this implementation methodology is that the order of the data marts and logical data models can be entirely driven by project priority, project budget allocation and time-to-completion constraints/requirements. This data warehouse architecture implementation methodology does not need to dictate project priorities or project scope as long as the conceptual data model (CDM) exercise has been successfully completed before the first project request is initiated.
    McMasteru2019s Data Warehouse design
    DevelopmentTestProductionWarehouseWarehouseWarehouseOtherDB2 OperationalOracle OperationalETLETLETLETLETLETLETLETLETLDataMartsETLETLETLDataMartsDataMartsDB2/Oracle BIToolBIToolBIToolNoNoUserUserAccessAccessUserUserAccessAccess(SAS (SAS Data sets)Data sets)Staging Area 5
    SUGI 30 Focus Session
    Publication Services
    This is the visible presentation environment that business intelligence (BI) customers will use to interact with the published data mart deliverables. The SAS® Information Delivery Portal will be utilized as a web delivery channel to deliver a u201Cone-stop information shoppingu201D solution. This software solution provides an interface to access enterprise data, applications and information. It is built on top of the SAS Business Intelligence Architecture, provides a single point of entry and provides a Portal API for application development. All of our canned reports generated through SAS® Enterprise Guide, along with a web-based query and reporting tool (SAS® Web Report Studio) will be accessed through this publication channel.
    Using the portalu2019s personalization features we have customized it for a McMaster u201Clook and feelu201D. Information is organized using pages and portlets and our stakeholders will have access to public pages along with private portlets based on role authorization rules. Stakeholders will also be able to access SAS® data sets from within Microsoft Word and Microsoft Excel using the SAS® Add-In for Microsoft Office. This tool will enable our stakeholders to execute stored processes (a SAS® program which is hosted on a server) and embed the results in their documents and spreadsheets. Within Excel, the SAS® Add-In can:
    u2022 Access and view SAS® data sources
    u2022 Access and view any other data source that is available from a SAS® server
    u2022 Analyze SAS® or Excel data using analytic tasks
    The SAS® Add-In for Microsoft Office will not be accessed through the SAS® Information Delivery Portal as this is a client component which will be installed on individual personal computers by members of our Client Services group. Future stages of the project will include interactive reports (drill-down through OLAP cubes) as well as balanced scorecards to measure performance indicators (through SAS® Strategic Performance Management software). This, along with event notification messages, will all be delivered through the SAS® Information Delivery Portal.
    Publication is also channeled according to audience with appropriate security and privacy rules.
    SECURITY u2013 AUTHENTICATION AND AUTHORIZATION
    The business value derived from using the SAS® Value Chain Analytics includes an authoritative and secure environment for data management and reporting. A data warehouse may be categorized as a u201Ccollection of integrated databases designed to support managerial decision making and problem solving functionsu201D and u201Ccontains both highly detailed and summarized historical data relating to various categories, subjects, or areasu201D. Implementation of the research funding data mart at McMaster has meant that our stakeholders now have electronic access to data which previously was not widely disseminated. Stakeholders are now able to gain timely access to this data in the form that best matches their current information needs. Security requirements are being addressed taking into consideration the following:
    u2022 Data identification
    u2022 Data classification
    u2022 Value of the data
    u2022 Identifying any data security vulnerabilities
    u2022 Identifying data protection measures and associated costs
    u2022 Selection of cost-effective security measures
    u2022 Evaluation of effectiveness of security measures
    At McMaster access to data involves both authentication and authorization. Authentication may be defined as the process of verifying the identity of a person or process within the guidelines of a specific
    6
    SUGI 30 Focus Session
    security policy (who you are). Authorization is the process of determining which permissions the user has for which resources (permissions). Authentication is also a prerequisite for authorization. At McMaster business intelligence (BI) services that are not public require a sign on with a single university-wide login identifier which is currently authenticated using the Microsoft Active Directory. After a successful authentication the SAS® university login identifier can be used by the SAS® Meta data server. No passwords are ever stored in SAS®. Future plans at the university call for this authentication to be done using Kerberos.
    At McMaster aggregate information will be open to all. Granular security is being implemented as required through a combination of SAS® Information Maps and stored processes. SAS® Information Maps consist of metadata that describe a data warehouse in business terms. Through using SAS® Information Map Studio which is an application used to create, edit and manage SAS® Information Maps, we will determine what data our stakeholders will be accessing through either SAS® Web Report Studio (ability to create reports) or SAS® Information Delivery Portal (ability to view only). Previously access to data residing in DB-2 tables was granted by creating views using structured query language (SQL). Information maps are much more powerful as they capture metadata about allowable usage and query generation rules. They also describe what can be done, are database independent and can cross databases and they hide the physical structure of the data from the business user. Since query code is generated in the background, the business user does not need to know structured query language (SQL). As well as using Information Maps, we will also be using SAS® stored processes to implement role based granular security.
    At the university some business intelligence (BI) services are targeted for particular roles such as researchers. The primary investigator role of a research project needs access to current and past research funding data at both the summary and detail levels for their research project. A SAS® stored process (a SAS® program which is hosted on a server) is used to determine the employee number of the login by checking a common university directory and then filtering the research data mart to selectively provide only the data that is relevant for the researcher who has signed onto the decision support portal.
    Other business intelligence (BI) services are targeted for particular roles such as Vice-Presidents, Deans, Chairs, Directors, Managers and their Staff. SAS® stored processes are used as described above with the exception that they filter data on the basis of positions and organizational affiliations. When individuals change jobs or new appointments occur the authorized business intelligence (BI) data will always be correctly presented.
    As the SAS® stored process can be executed from many environments (for example, SAS® Web Report Studio, SAS® Add-In for Microsoft Office, SAS® Enterprise Guide) authorization rules are consistently applied across all environments on a timely basis. There is also potential in the future to automatically customize web portals and event notifications based upon the particular role of the person who has signed onto the SAS® Information Delivery Portal.
    ARCHITECTURE (PRODUCTION ENVIRONMENT)
    We are currently in the planning stages for building a scalable, sustainable infrastructure which will support a scaled deployment of the SAS® Value Chain Analytics. We are considering implementing the following three-tier platform which will allow us to scale horizontally in the future:
    Our development environment consists of a server with 2 x Intel Xeon 2.8GHz Processors, 2GB of RAM and is running Windows 2000 u2013 Service Pack 4.
    We are considering the following for the scaled roll-out of our production environment.
    A. Hardware
    1. Server 1 - SAS® Data Server
    - 4 way 64 bit 1.5Ghz Itanium2 server
    7
    SUGI 30 Focus Session
    - 16 Gb RAM
    - 2 73 Gb Drives (RAID 1) for the OS
    - 1 10/100/1Gb Cu Ethernet card
    - 1 Windows 2003 Enterprise Edition for Itanium
    2 Mid-Tier (Web) Server
    - 2 way 32 bit 3Ghz Xeon Server
    - 4 Gb RAM
    - 1 10/100/1Gb Cu Ethernet card
    - 1 Windows 2003 Enterprise Edition for x86
    3. SAN Drive Array (modular and can grow with the warehouse)
    - 6 u2013 72GB Drives (RAID 5) total 360GB for SAS® and Data
    B. Software
    1. Server 1 - SAS® Data Server
    - SAS® 9.1.3
    - SAS® Metadata Server
    - SAS® WorkSpace Server
    - SAS® Stored Process Server
    - Platform JobScheduler
    2. Mid -Tier Server
    - SAS® Web Report Studio
    - SAS® Information Delivery Portal
    - BEA Web Logic for future SAS® SPM Platform
    - Xythos Web File System (WFS)
    3. Client u2013Tier Server
    - SAS® Enterprise Guide
    - SAS® Add-In for Microsoft Office
    REPORTING
    We have created a number of parameterized stored processes using SAS® Enterprise Guide, which our stakeholders will access as both static (HTML as well as PDF documents) and interactive reports (drill-down) through SAS® Web Report Studio and the SAS® Add-In for Microsoft Office. All canned reports along with SAS® Web Report Studio will be accessed through the SAS® Information Delivery Portal.
    NEXT STEPS
    Next steps of the project include development of a financial data mart along with appropriate data quality standards, monthly frozen snapshots and implementation of university-wide financial reporting standards. This will facilitate electronic access to integrated financial information necessary for the development and maintenance of an integrated, multi-year financial planning framework. Canned reports to include monthly web-based financial statements, with drill-down capability along with budget templates automatically populated with data values and saved in different workbooks for different subgroups (for example by Department). The later will be accomplished using Microsoft Direct Data Exchange (DDE).
    8
    SUGI 30 Focus Session
    As well, we will begin the implementation of SAS® Strategic Performance Management Software to support the performance measurement and monitoring initiative that is a fundamental component of McMasteru2019s strategic plan. This tool will assist in critically assessing and identifying meaningful and statistically relevant measures and indicators. This software can perform causal analyses among various measures within and across areas providing useful information on inter-relationships between factors and measures. As well as demonstrating how decisions in one area affect other areas, these cause-and-effect analyses can reveal both good performance drivers and also possible detractors and enable u2018evidenced-basedu2019 decision-making. Finally, the tool provides a balanced scorecard reporting format, designed to identify statistically significant trends and results that can be tailored to the specific goals, objectives and measures of the various operational areas of the University.
    LESSONS LEARNED
    Lessons learned include the importance of taking a consultative approach not only in assessing information needs, but also in building data hierarchies, understanding subject matter, and in prioritizing tasks to best support decision making and inform senior management. We found that a combination of training and mentoring (knowledge transfer) helped us accelerate learning the new tools. It was very important to ensure that time and resources were committed to complete the necessary planning and data quality initiatives prior to initiating the first project. When developing a project plan, it is important to

  • What are the fields in BDC table

    hi
    what are the fields in BDC table. what is the last entry

    hi,
    BDC table structure
    FIELD                     TYPE                            DESCRIPTION
    Program                CHAR (8)                      Program name of transaction.
    DynPro                   CHAR (4)                      Screen number of transaction.
    DynBegin               CHAR (1)                      Indicator for new screen.
    Fnam                     CHAR (35)                     Name of database field from screen.
    Fval                       CHAR (80)                     Value to submit to field.
    Hope this is helpful, Do reward.

  • What are the delta mechanisms and tables used for  Lo Extraction & COPA

    Hi all
    what are the delta mechanisms and tables used for  Lo Extraction & COPA.
    please explain clealry.
    Thanks & Regards,
    James

    James,
    Please go through Roberto's weblog :
    /people/sap.user72/blog/2005/02/14/logistic-cockpit--when-you-need-more--first-option-enhance-it
    Anyways,
    As you know LO cockpit consists of different modules(MM, PP, SD, etc)
    They are called appl components. Each of them have a number (eg.MM=02) and for each appl comp they might be different Data sources and for each DS they might be different tables. So, unless you be specific we cant tell a specific table for a DS.
    coming to the delta mechanisms, there are " direct delta, queqed delta and serialized delta".
    Copa is based on the oepration concern. it can be created on " accouting based" or "costing based".
    Assign points if helpful
    Kalyan

  • WHAT IS THE USE OF RETURN TABLE IN BW

    Hi Gurus,
    I would like to know what is the use of return table in bw.. can any one give me the perfect answer....
    Ramesh

    Hii
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    return table option is available in update rules
    go thru these links
    Return table
    Return table
    Message was edited by:
            Sheeba Bhaskaran

  • What is the difference between Structure and Work area

    Hi Guys,
    What is the difference between Structure and work area?
    Are they same with different names?
    Thanks,
    mini.

    hey buddies,*
    i had this same doubt for a long time and i have my finds with me ie wa and structure are the same but wa can hold a single record but structure cannot hold data in it but according to the previous posts  folks  say structure too holds data as wa does but i guess when debugging wa holds data and structure doesnt hold bcoz i tried.
    types : begin of str_mara,
                 matnr type mara-matnr,
                ernam type mara-ernam,
                end of str_mara.
    data it_mara type table of str_mara.
    select matnr ernam from mara into it_mara where matnr = '100-101'.
    *********************if folks say wa = structure,this should work,isn't it?*********************************
    loop at it_mara into str_mara.
    write:/ str_mara-matnr , str_mara-ernam.
    endloop.
    *******************but it throws an error saying that str_mara is not a wa*******************************
    i may not be correct too plz let me know if i'm wrong
    Edited by: arun_aime on Feb 12, 2010 4:41 PM

  • HT2731 how do i pay for a new account, what is the cost

    what is the cost of itunes? How is the account paid?

    what is the cost of itunes?
    If you are asking about iTunes the program, it is a free download from apple.com.
    Songs in the iTunes Store mostly cost 99 cents or $1.29 each.  (Those are USA prices; other country iTunes Stores have their own price structure.)  Other content such as apps and movies is also available, with the price clearly marked.
    You can also use iTunes with your own MP3s or with songs purchased from other sources. 
    How is the account paid?
    Either by credit card or gift card.

  • What are the differnet type of tables in mdm ?

    hi experts i am new to mdm. just i have refered some documents in that the have created some table and fileds ,taxnomy,lokups,.......
    so can any one give me the bref ida on
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    what are the different type of tables in mdm ? What is the requirement for the selection of table?
    what is a feld ? what are the diff type of fealds in mdm ? And requriement ?
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    what is mdm console ?
    what is mdm data manager. ?
    what is mdm import manager ?
    what is mdm syndicator ?
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    Hello Praveen,
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    http://hosteddocs.ittoolbox.com/RD021507b.pdf
    demo
    http://www.sap.com/community/int/innovation/esoa/demo/MDM_demo/index.html
    http://www.asug.com/DesktopModules/Bring2mind/DMX/Download.aspx?TabId=66&DMXModule=370&Command=Core_Download&EntryId=3431&PortalId=0
    MDM
    http://www.asug.com/DesktopModules/Bring2mind/DMX/Download.aspx?TabId=66&DMXModule=370&Command=Core_Download&EntryId=1666&PortalId=0
    SAP Netweaver MDM Overview
    https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/b09b548d-7316-2a10-1fbb-894c838d8079
    SAP NETWEAVER MDM Leverage MDM in ERP Environments - An Evolutionary Approach -
    https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/4059f477-7316-2a10-5fa1-88417f98ca93
    Master Data Management architecture patterns
    http://www-128.ibm.com/developerworks/db2/library/techarticle/dm-0703sauter/
    MDM and Enterprise SOA
    http://www.saplounge.be/Files/media/pdf/Lagae---MDM-and-Enterprise-SOA2007.10.10.pdf
    Effective Hierarchy Management Using SAP NetWeaver MDM for Retail
    https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/70ee0c9e-29a8-2910-8d93-ad34ec8af09b
    MDM World
    http://mdm.sitacorp.com/
    MDM: Master Data for Global business
    http://www.sitacorp.com/mdm.html
    MDM Master Data Management Hub Architecture
    http://blogs.msdn.com/rogerwolterblog/archive/2007/01/02/mdm-master-data-management-hub-architecture.aspx
    Improve Efficiency and Data Governance with SAP NetWeaver MDM
    http://www.sapnetweavermagazine.com/archive/Volume_03_(2007)/Issue_02_(Spring)/v3i2a12.cfm?session=
    Data Modeling i MDM
    https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/5d4211fa-0301-0010-9fb1-ef1fd91719b6
    http://www.sap.info/public/INT/int/index/Category-28943c61b1e60d84b-int/0/articlesVersions-31279471c9758576df
    SRM-MDM Catalog
    http://help.sap.com/saphelp_srmmdm10/helpdata/en/44/ec6f42f6e341aae10000000a114a6b/frameset.htm
    http://events.techtarget.com/mdm-ent/?Offer=DMwn716mdm
    http://viewer.bitpipe.com/viewer/viewDocument.do?accessId=6721869
    http://searchdatamanagement.bitpipe.com/data/search?site=sdmgt&cr=bpres&cg=VENDOR&sp=site_abbrev%Asdmgt&cp=bpres&st=1&qt=MasterDataManagement
    http://viewer.bitpipe.com/viewer/viewDocument.do?accessId=6721819
    http://www.dmreview.com/channels/master_data_management.html
    http://searchdatamanagement.techtarget.com/originalContent/0,289142,sid91_gci1287620,00.html?bucket=NEWS&topic=307330
    MDM Console -- http://help.sap.com/saphelp_mdmgds55/helpdata/en/88/9f9c427055c66ae10000000a155106/frameset.htm
    MDM Import manager --http://help.sap.com/saphelp_mdmgds55/helpdata/en/43/120367f94c3e92e10000000a1553f6/frameset.htm
    MDM DataManager --http://help.sap.com/saphelp_mdmgds55/helpdata/en/43/e0615a82b40a2ee10000000a11466f/frameset.htm
    MDM Syndicator --http://help.sap.com/saphelp_mdmgds55/helpdata/EN/43/5fe0e8a55f5f6be10000000a1553f6/frameset.htm
    Rgds
    Ankit

  • What is the cost of replacing iphone 5(broken screen, out of warranty) with a higher model maybe 5s? In India.

    Hi,
    Yesterday i dropped my phone and the screen got shattered. The phone is working fine. but the screen is cracked.
    After searching through the internet, i found out the following options:
    Getting Out-of-warranty Replacement.
    Getting the screen repaired by Apple Store.
    I am located in India and had  bought the phone from India only.
    So my questions are?
    What is the cost of getting an out-of warranty replacement for iPhone 5?
    Can i get a replacement for a higher model of iPhone( maybe 5s or upcoming iPhone 6). If yes, how much extra i'll have to pay?
    Is it possible to repair the broken screen in India? if yes, what will be the tentative cost?
    Thanks.

    ShadowDancer1000 wrote:
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  • What is the cost of replacing a keyboard

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  • What is the Cost of replacing my iPhone screen

    What is the Cost of replacing the front screen ón my iphone4s?

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  • What is the cost of replacing a battery for an Ipad 2 in India? On asking the service centre, I was informed the entire Ipad would be replaced for 20K which is exorbitant. Is it advisable to buy the Apple protection program in this case?

    What is the cost of replacing a battery for an Ipad 2 in India? On asking the service centre, I was informed the entire Ipad would be replaced for 20K which is exorbitant. The same is done in US for a paltry (comparably) 100 dollars. Is it advisable to buy the Apple protection program in this case?

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  • What is the smallest data structure record in a .TXT file record to be recognized as an Apple Address Book "Data Card"?

    Hello! This is my first time in this discussion group. The question posed is the subject line itself:
    What is the smallest data structure record in a .TXT file record to be recognized as an Apple Address Book "Data Card"?
    I'm lazy! As a math instructor with 40+ students per class per semester (pCpS), I would rather not have to create 40 data cards pCpS by hand, only to expunge that info at semester's end. My college's IS department can easily supply me with First name, Last name, and eMail address info, along with a myriad of other fields. I can manipulate those data on my end to create the necessary .TXT file, but I don't know the essential structure of that file.
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    Hello Bill, & welcome aboard!
    No idea what  pCpS is, sorry.
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    Customer Name,Company,Address1,Address2,City,State,Zip
    Customer 1,Company 1,2233 W Seventh Street,Unit 543,Seattle,WA,99099
    Customer 2,Company 2,1 Park Avenue,,New York,NY,10001
    Customer 3,Company 3,65 Loma Linda Parkway,,San Jose,CA,94321
    Customer 4,Company 4,89988 E 23rd Street,B720,Oakland,CA,99899
    Customer 5,Company 5,432 1st Avenue,,Seattle,WA,99876
    Customer 6,Company 6,76765 NE 92nd Street,,Seattle,WA,98009
    Customer 7,Company 7,8976 Poplar Street,,Coupeville,WA,98976
    Customer 8,Company 8,7677 4th Ave North,,Seattle,WA ,89876
    Customer 9,Company 9,4556 Fauntleroy Avenue,,West Seattle,WA,98987
    Customer 10,Company 10,4 Bell Street,,Cincinnati,OH,89987
    Customer 11,Company 11,4001 Beacon Ave North,,Seattle,WA,90887
    Customer 12,Company 12,63 Dehli Street,,Noida,India,898877-8879
    Customer 13,Company 13,63 Dehli Street,,Noida,India,898877-8879
    Customer 14,Company 14,63 Dehli Street,,Noida,India,898877-8879
    Customer 15,Company 15,4847 Spirit Lake Drive,,Bellevue,WA,98006
    Customer 16,Company 16,444 Clark Avenue,,West Seattle,WA,88989
    Customer 17,Company 17,6601 E Stallion,,Scottsdale,AZ,85254
    Customer 18,Company 18,801 N 34th Street,,Seattle,WA,98103
    Customer 19,Company 19,15925 SE 92nd,,Newcastle,WA,99898
    Customer 20,Company 20,3335 NW 220th,2nd Floor,Edmonds,WA,99890
    Customer 21,Company 21,444 E Greenway,,Scottsdale,AZ,85654
    Customer 22,Company 22,4 Railroad Drive,,Moclips,WA,98988
    Customer 23,Company 23,89887 E 64th,,Scottsdale,AZ,87877
    Customer 24,Company 24,15620 SE 43rd Street,,Bellevue,WA,98006
    Customer 25,Company 25,123 Smalltown,,Redmond,WA,98998
    Try Address Book Importer...
    http://www.sillybit.com/abee/

  • What is the limitations of structure in query?

    HI,
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    Hi,
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