137 KB | 3 files |
PDF,
DOC
This checklist gives you a quick look at 10 worst practices to avoid when designing and implementing your next data warehousing project.
A data warehouse project manager's job is beset with worst practice traps just waiting for the unwary project manager to fail. You don't have to fall prey to these traps. Take a look at these ten worst practices to recognize and avoid these methods and you may be one of the clever few who will successfully implement a data warehouse.
This document was created by Sid Adelman, a principal in Sid Adelman and Associates, an organization specializing in planning and implementing data warehouses and in establishing effective data architectures and strategies.
The attached Zip file includes:

Sid Adelman is a Principal in Sid Adelman & Associates, an organization specializing in planning and implementing data warehouses and in establishing effective data architectures and strategies. He consulted on data warehouse with banks, distribution companies, utilities, governmental authorities, manufacturing companies, insurance and the health care industry. Sid has been involved with the data warehouse and its predecessors before the term itself was coined.
All IT Downloads from Sid Adelman & Associates, Inc.» | Visit Sid Adelman & Associates, Inc. »
Sample Business Intelligence Contract
“Getting Innovation Right: How Leaders Leverage Inflection Points to Drive Success,” written by Seth Kahan, reveals how your company can secure real traction and growth in the marketplace. ... More >>
'Connecting Organizational Silos' Excerpt
This excerpt from Chapter 8, “Social Media Analytics,” looks at basic measures that are typically used to analyze ESN platforms and how more sophisticated social media analytics methods can be used to find value in the data. ... More >>
This sample job description will help you evaluate candidates for this critical hire.... More >>
Business IntelligenceBusiness performance information for strategic and operational decision-making
SOASOA uses interoperable services grouped around business processes to ease data integration
Data WarehousingData warehousing helps companies make sense of their operational data