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Displaying 360–375 (of 453)

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Book Review of The Data Model Resource Book Summary
Steve Hoberman reviews Volume 3 of The Data Model Resource Book series.

Topics: Information Management, Data Modeling and Design

by Steve Hoberman | 0 comments
Master Data Management Checklist #2: Organizational Preparation Summary
David Loshin's first checklist focused on identifying the business processes whose success was impeded by the absence of a unified view of master data, or that could be significantly improved by master data consolidation. This checklist centers on readying the organization for MDM and socializing the concepts that accompany a transition to centrally managed corporate information resources.

Topics: Information Management, Master Data Management (MDM), Data Governance

by David Loshin | 0 comments
Predicting the Future Summary
Bill Inmon reminds us that predicting the future is a very worthwhile activity if it can actually be done with any degree of accuracy, and he reviews the various approaches that can be used.

Topics: Business Intelligence, Predictive Analytics

by Bill Inmon | 0 comments
The Economic Downturn: Why Performance Management is Key to Emerge Stronger Summary
There is no escaping the harsh reality of the current economic climate. Execution of the decided-upon strategy is key and, performance management is the combination of processes, methodologies and tools that will help you ensure success.

Topics: Performance Management

by Toon Puissant | 0 comments
Data Quality Control - Why You Want a “Novelty Detector” in Your ETL Summary
This article describes how to design test programs along with your ETL to provide monitoring of data content quality.

Topics: Performance Management

by Tom Breur | 0 comments
Starting a Performance Management Initiative from Scratch, Step 1: Create Awareness Summary
This is the first in a series of articles to highlight best practices to begin a performance management initiative.

Topics: Performance Management

by Rob Roemers | 0 comments
Pet Peeves Summary
Bill Inmon shares issues he has with software vendors and network reconfigurations.

Topics: Business Intelligence

by Bill Inmon | 0 comments
Development Processes in Data Warehouse Environments Summary
BeyeNETWORK welcomes new channel leader Ronald Damhof, an information management architect who will write on data management issues.

Topics: Data Warehousing, Information Management, Operational Business Intelligence

by Ronald Damhof | 0 comments
Wrestling with Corporate Contracts Summary
In this article, Bill Inmon recommends that executives get the "corporate jewels" contained in their contracts into an integrated database.

Topics: Information Management, Unstructured Data

by Bill Inmon | 0 comments
Creating Shared Responsibility for Success in Your Business Intelligence Team Summary
Lorna Rickard reminds us why it is in our best interest and the interest of the system to create the conditions that enable others to take responsibility, and she provides practical advice for achieving that goal.

Topics: Business Intelligence, Management

by Lorna Rickard | 0 comments
A Capability Model for Business Analytics, Part 2 Summary
Dave Wells emphasizes that ideally the assessment of an organization’s analytic capabilities should be easy to perform yet provide informative results. He provides a suggested assessment process and tips for successful completion.

Topics: Analytics, Business Intelligence

by Dave Wells | 0 comments
Managing the Unstructured Volume Summary
Bill Inmon cautions against loading unstructured data to databases without considering the approaches described within this article. (Note: this article discusses techniques and processes that are intellectual property and patent pending. For licensing, please contact the author.)

Topics: Information Management, Databases/Database Administration, Unstructured Data

by Bill Inmon | 0 comments
Master Data Management Success Factors – A Checklist Summary
David Loshin begins a series of articles that will provide checklists that can be used to identify certain risk factors that may prevent the successful implementation of master data management.

Topics: Information Management, Master Data Management (MDM), Information Quality (IQ)

by David Loshin | 0 comments
KPIs and Unstructured Data Summary
Bill Inmon explains how the issue of KPIs poses some real issues and challenges once unstructured data is introduced into the data warehouse.

Topics: Analytics, Unstructured Data, KPI

by Bill Inmon | 0 comments
Pay as You Go: SaaS Business Intelligence and Data Management Summary
Claudia Imhoff and Colin White provide an overview the case studies of five companies that have successfully deployed software as a service (SaaS) business intelligence or data management solutions.

Topics: Business Intelligence, Information Management, SaaS (Software as a Service)

by Claudia Imhoff, Colin White | 0 comments

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