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Overview of PeopleSoft Data Warehouse Implementation August 3, 2006.

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Presentation on theme: "Overview of PeopleSoft Data Warehouse Implementation August 3, 2006."— Presentation transcript:

1 Overview of PeopleSoft Data Warehouse Implementation August 3, 2006

2 EPM Architecture

3 Multidimensional Warehouse Facts – typically numeric values to quantify or calculate a company’s activities. In star schema development it is the central table used to connect dimensions

4 Multidimensional Warehouse Dimensions - Allow analytics across subject matter areas  Uses Conformed dimensions - dimensions that mean the same thing in every possible fact table to which they can be joined—and therefore the same thing in every functional warehouse. Common (Calendar, Time, Business Unit, Time Zone, Unit of Measure, Currency, Language) Shared (Department, Item, Account, Person, Jobcode, etc.) Subject Area (Billing Status –GL & Prof, Aging Category- Payables)

5 PeopleSoft Mart Mart refers to a PeopleSoft product that contains specific subject areas related to one of the delivered PeopleSoft functional warehouses. Marts are derived from the MDW and are modeled to support analytic requirements, but not limit you to reporting only in that subject area. Must license a supported reporting tool separately (e.g. Hyperion Reports) to access data – open reporting structure

6 Supply Chain Warehouse Supports reporting for the following business processes  Order Fulfillment  Procurement Datamarts  Procurement  Spend  Inventory  Sales Orders

7 Financial Warehouse Supports reporting for the following business processes  Procurement  Financial Control and Reporting  Project Management  Financial Control and Reporting Datamarts  Payables  General Ledger and Profitability

8 Hyperion Integration

9 Implementation Consideration Our project timeline and scope will be dependent on Transaction applications. Understanding Source data, customizations and configuration is necessary to validate delivered transformations, dimensions, and facts.

10 Overview of reporting environment Datamarts  Payables  General Ledger and Profitability

11 Overview of reporting environment Rept Rqmt 1 Rept Rqmt 2 Rept Rqmt 3Rept Rqmt 4 Rept Rqmt 5 Rept Rqmt 6

12 GL & Profitability F_JOURNAL D_DEPT D_JRNL_SOURCE D_ACCOUNT D_DET_PERIOD

13 GL & Profitability F_LEDGER D_DEPT_TBL D_BOOK_CODE D_ACCOUNT D_DET_PERIOD

14 GL & Profitability F_PROFITABILITY D_ABM_OBJECT D_PRJ D_ACCOUNT D_DET_PERIOD

15 Payables F_AP_ACCOUNT_LN D_DEPT D_BU_LED_GRP_TBL D_ACCOUNT D_PATTERN_DAY

16 Payables F_AP_TRAN D_PERSON_AP_OPID D_AP_DOC_TYPE D_ACCOUNT D_DAY D_AP_VTR_TYPE D_AP_PTR_TYPE

17 Payables F_VCHR_MTCH_EXP D_SUPPLIER D_PERSON_APOPID D_ MATCH_RULE D_DAY

18 Inventory F_INV_LDGR D_UOM D_ INV_ITEM D_LOT D_DAY

19 Inventory F_INV_TRANS D_DEMAND_INF_INV D_ PHYSICAL_INV D_LOT D_DAY D_RECV_LN_SHP

20 Inventory F_PHYSICAL_INV D_PO_STATUS D_ SUPPLIER D_LOT D_DAY D_INV_LOCATION

21 Inventory F_INV_CYCLE_CNT D_INV_LOCATION D_ INV_ITEM D_LOT

22 Procurement F_PO_SHIP_RCPT D_ACCOUNT D_ DLVRY_STATUS D_PO_LINE

23 Procurement F_RTV_DIST D_SUPPLIER D_ VOUCHER D_RTVLN_STATUS

24 Procurement F_MTCH_ANLYS D_MATCH_RULE D_ INV_ITEM D_MTCH_STATUS

25 Procurement

26 Spend F_VCHR_LN D_SUPPLIER D_ INV_ITEM D_PO_HDR D_DAY

27 Justification: Done Planning: Need Project Plan Business Analysis: Not done Design: Not done but a huge head start Construction: Not done but a huge head start Deployment: Not done Delivered Vanilla Design and Construction is STRONG - Huge Head Start

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29 Recommended reporting solutions Divided into major categories  Data Warehouse  On-line Lookup  Delivered report (i.e. SQR)  Defer until later phase  Download  Not needed Considerations:  Sufficient granularity  Sufficient timeliness (i.e. Data Warehouse 1 day lag)  Has all the fields?  Issues – decision still pending on data capture  Issues – requires further development in Data Warehouse  Historical data will not be there day one Goal: To have the best solution for this phase, with time and resource constraints.

30 Status of report development Data in Warehouse Models in Warehouse % complete (i.e. 7 out of 40) Design status  Design pending issues, Design Not signed off, Design signed off Development status  In development  Developed, ready to be QA’d  Development QA’d and Signed off Naming standards used

31 Technical Side

32 Tip for organizing documentation

33 ETL Ascential Jobs

34 Tip for organizing ETL Ascential Jobs

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