Project management is the discipline of planning, organizing, securing, and managing resources to achieve specific goals. A proper management of data warehousing project may lead to successful implementation whereas lousy project management can cause the project to fail inspite of best technical resources.
A road-map on Testing in Data Warehouse
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- Category: DWBI Project Management
- Published on Monday, 16 August 2010 22:24
- Written by Akash Mitra
- Hits: 447
Testing in data warehouse projects are till date a less explored area. However, if not done properly, this can be a major reason for data warehousing project failures - especially in user acceptance phase. Given here a mind-map that will help a project manager to think all the aspects of testing in data warehousing.
Why people Hate Project Managers – A must read for would-be managers
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- Category: DWBI Project Management
- Published on Saturday, 07 August 2010 14:10
- Written by DWBIConcepts Magazine
- Hits: 473
"Project Managers" are inevitable. Love them or hate them, but if you are in a project, you have to accept them. They are Omnipresent in any project. They intervene too much on technical things without much knowledge. They create unrealistic targets and nonsensical methods of achieving them. And they invariably fail to acknowledge the individual hard work. Are they of any use?
Read more: Why people Hate Project Managers – A must read for would-be managers
Top 10 things to avoid in DWBI project management
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- Category: DWBI Project Management
- Published on Wednesday, 28 April 2010 21:17
- Written by Akash Mitra
- Hits: 354
Watch this space...
Enterprise Data Warehouse Data Reconciliation Methodology
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- Category: DWBI Project Management
- Published on Saturday, 26 June 2010 20:17
- Written by Akash Mitra
- Hits: 689
An enterprise data warehouse often fetches records from several disparate systems and store them centrally in an enterprise-wide warehouse. But what is the guarantee that the quality of data will not degrade in the process of centralization?
Read more: Enterprise Data Warehouse Data Reconciliation Methodology