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Displaying 360–375 (of 597)

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Using Enterprise 2.0 for Business Intelligence, Part 6 Summary
In this sixth article in a continuing series, Colin White looks at new web technologies for building richer and more flexible web-based business intelligence applications.

Topics: Business Intelligence, Service Oriented Architecture (SOA)

by Colin White | 0 comments
Data Governance: Challenges in Establishing a Measurable Road Map Summary
The pursuit of quality data governance remains an elusive goal of financial institutions This article offers a framework for understanding the challenges and developing a meaningful reference data governance road map.

Topics: Business Intelligence, Service Oriented Architecture (SOA)

by Joseph DeLauro, Jamuna Ravi | 0 comments
The Record: An Item of Master Data Summary
Managing records represents a major challenge for enterprise information management, but it is one that must be faced.

Topics: Business Intelligence, Service Oriented Architecture (SOA)

by Malcolm Chisholm | 0 comments
Getting Started With Operational BI Summary
What exactly is operational BI and how can you use it to improve operational performance?

Topics: Business Intelligence, Operational Business Intelligence

by Mike Ferguson | 0 comments
Full Circle: Decision Intelligence (DSS 2.0) Summary
This article discusses why business intelligence is often too closely associated with data warehousing and should be replaced by a concept such as decision intelligence, which could be considered a modern version of earlier decision support systems.

Topics: Data Warehousing, Business Intelligence, Decision Support Systems

by Claudia Imhoff, Colin White | 0 comments
Passive Indexes Summary
The standard practices of information management that sufficed in an earlier day and age often do not apply to archival data.

Topics: Information Management, Storage

by Bill Inmon | 0 comments
Information Agility Summary
In order to create an agile foundation, of data, data must be stored at the most granular level.

Topics: Business Intelligence

by Bill Inmon | 0 comments
Six Architectural Styles of Data Hubs Summary
What exactly do data hubs offer? The answer to that really depends on the type of hub being considered. This article briefly review six common styles of hub from the perspective of their architectures.

Topics: Business Intelligence

by Malcolm Chisholm | 0 comments
Intelligent Integration Depends on Business Intelligence, Part 3 Summary
In this article, Devlin discusses how business intelligence skills can contribute to the user interface for SOA projects.

Topics: Business Intelligence, Service Oriented Architecture (SOA)

by Barry Devlin | 0 comments
Business Intelligence in the Cloud: Sorting Out the Terminology Summary
Colin White explains the technologies behind the various terms currently being used to describe hosted business intelligence solutions and provides an overview of the capabilities they provide.

Topics: SaaS (Software as a Service), Business Intelligence, Cloud Computing

by Colin White | 0 comments
Centralized Data, Decentralized Decisions The Eternal Conflict Summary
Perhaps every permutation between centralization of data and decentralization of decision making has been tried, and there is, as of yet, no standard industry best practice.

Topics: Data Warehousing

by Bill Inmon | 0 comments
Divide and Conquer Summary
Read this philosophical discussion about the proliferation of data marts.

Topics: Data Warehousing, Data Marts

by Bill Inmon | 0 comments
Structural Design Patterns – Data Modeling Summary
There are problems and design flaws encountered in E-R modeling such as anti-patterns "fan trap" and chasm trap.” This article provides a set of design patterns that are reusable solutions to commonly occurring problems.

Topics: Data Warehousing, Data Marts

by Vinay Prasad, Jamuna Ravi | 0 comments
How Much Historical Data is Enough? Summary
There are many factors that impact the amount of historical data a corporation requires.

Topics: Data Warehousing, Information Management

by Bill Inmon | 0 comments
Time for a New Approach Summary
It is time to change the data warehouse development life cycle.

Topics: Data Warehousing, Business Intelligence

by Don Price | 0 comments

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