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Objectives - Overview of Business Warehouse (BW) - Interpreting BW datasets - Analyzing results PowerPoint PPT Presentation


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The World Bank’s Business Warehouse (BW): Interpreting and Analyzing Procurement Data Marcelo Donolo, OPCPR May 10, 2005. Objectives - Overview of Business Warehouse (BW) - Interpreting BW datasets - Analyzing results.

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Objectives - Overview of Business Warehouse (BW) - Interpreting BW datasets - Analyzing results

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Objectives overview of business warehouse bw interpreting bw datasets analyzing results

The World Bank’s Business Warehouse (BW): Interpreting and Analyzing Procurement Data Marcelo Donolo, OPCPRMay 10, 2005


Objectives overview of business warehouse bw interpreting bw datasets analyzing results

Objectives- Overview of Business Warehouse (BW)- Interpreting BW datasets- Analyzing results


Objectives overview of business warehouse bw interpreting bw datasets analyzing results

Overview of Business Warehouse (BW)- SAP Reporting system - Cube structure- Captures data entered through SAP/R3


Objectives overview of business warehouse bw interpreting bw datasets analyzing results

Interpreting BW Datasets- Captured data includes:- Excel format- IDA/IBRD commitments (investment lending)- Contracts > prior review threshold- Contracts under client-executed TF’s- Amounts in US$


Objectives overview of business warehouse bw interpreting bw datasets analyzing results

Interpreting BW Datasets- Captured data does not include:- Actual disbursed amounts @ contract level- Loan disbursement categories- Currency payment terms- Ex-post review contracts- Adjustment lending


Objectives overview of business warehouse bw interpreting bw datasets analyzing results

Interpreting BW Datasets- Report Types- Summary Reports (5 types)- Detailed Reports (for 29 PSLO countries)- Report Availability- Click hereto access the report page- Update Frequency: 1 month after end of quarter- Q1 = Jul, Aug, Sept = Updated by Oct 1- Q2 = Oct, Nov, Dec = Updated by Jan 5 - Q3 = Jan, Feb, Mar = Updated by Apr 1 - Q4 = Apr, May Jun = Updated by July 1


Objectives overview of business warehouse bw interpreting bw datasets analyzing results

Interpreting BW Datasets- Summary Reports- Contract volume- Aggregate amounts- 4-5 year trends- Types of summary breakdown- By region- By OECD status category- By type of contract


Objectives overview of business warehouse bw interpreting bw datasets analyzing results

Interpreting BW Datasets- Detailed Reports- Country-specific (29 PSLO countries)- Detailed data attributes


Objectives overview of business warehouse bw interpreting bw datasets analyzing results

Interpreting BW Datasets- Detailed Data Attributes- Region- Borrower- Sector- Category (goods, works, consult, srvcs)- Type of contract- Method of selection (ICB, NCB, QCBS…)- Project ID & name- Loan/Credit # - Agreement type (IDA, IBRD, GEF, etc)- Contract description- Supplier name- Amount in US$ or US$ equivalent


Analyzing results

Analyzing Results


Analyzing results1

Analyzing Results


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