All
All

Ten Worst Practices of the Unsuccessful Data Warehouse Project Manager

137 KB | 3 files | null PDF,null 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:

  • Intro Page.doc
  • Cover Sheet and Terms.pdf
  • Ten Worst Practices of the Unsuccessful Data Warehouse Project Manager.doc
IT Downloads help you save time and money while executing essential IT management tasks. Download this useful resource now and put it to work for your business.

This Download is provided by:

Partner logo

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. »
Related IT Downloads

Analytics7 Big Data: Storage, Sharing, and Security

Chapter 2 focuses on answering questions faced by individuals interested in using storage or database technologies to solve their Big Data problems. ...  More >>

DataM33 Digital Exhaust: What Everyone Should Know About Big Data, Digitization and Digitally Driven Innovation

In this excerpt, Neef focuses on doing business in the Big Data world, including the scope of projects already underway, the primary drivers behind initiatives, and how Big Data is changing both the organization and c-level leadership roles. ...  More >>

HealthCare01 Big Data and Health Analytics

The chapter excerpt focuses on how effective data architecture must lay out the life cycle of data, from definition to capture, storage, management, integration, distribution, and analysis. ...  More >>

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.