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 analytical information definition


A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

analytical information definition  Information Systems (EIS), On-Line Analytical Processing (OLAP), Relational OLAP (ROLAP), Multi-Dimensional OLAP (MOLAP), Hybrid OLAP (HOLAP, a combination of MOLAP and ROLAP), and more. BI can be broken down into four broad fields: Multi-dimensional Analysis Tools: Tools that allow the user to look at the data from a number of different angles . These tools often use a multi-dimensional database referred to as a cube . Query tools: Tools that allow the user to issue SQL (Structured Query Language)

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Documents related to » analytical information definition

A One-stop Event for Business Intelligence and Data Warehousing Information


The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and performance management. These conferences supply a wealth of information aimed at improving organizational decision-making, optimizing performance, and achieving business objectives.

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Using BI and BPM to Address the Information Challenges of Midsize Companies


Business intelligence (BI) and business performance management (BPM) are two disciplines that become critical as companies progress through the midsize stage. BI and BPM provide key capabilities that every midsize company should have, to answer fundamental questions about performance, now and in the future. Learn how your operations are affected by specific challenges—and how a BI/BPM solution can help address them.

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Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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Architecture-Centered Information Systems In The Manufacturing Domain - Part III - Steps in the Architecture Process


Architecture bridges the semantic gap between the requirements and software. Application software systems must be architected in order to deal with the current and future needs of the business organization. Managing software projects using architecture–centered methodologies must be an intentional step in the process of deploying information systems – not an accidental by–product of the software acquisition and integration process.

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Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools


Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization, enterprise information integration, and corporate performance management are among the proposed solutions, but do they really deliver real time information?

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Oracle Information Lifecycle Management and Pillar Axiom


Oracle has information lifecycle management (ILM) functionality integrated in its database product, but its value still relies heavily on the customer buying various tiers of storage dedicated to ILM. It seems that when implementing an ILM solution, saving money can be an expensive proposition. Find out how one company decided to “think inside the box” and work with Oracle to solve the ILM storage problems.

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Enhancing the Agility of Customer Information Systems in Utilities


Customer information system (CIS) projects in the utilities industry have earned a reputation for being disruptive to business, very expensive, and always behind schedule. As a mission-critical cash register for utilities, it pays to examine CIS more closely. Learn about the perspectives on strategic CIS assessment frameworks and how a structured solution can help you improve the agility of CIS without a huge investment.

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Security Information Market Heading for Growth


The growth of security vulnerabilities is creating a new market for security information. With link sharing and cooperation among sites, it is not clear that this market is nearly as predatory as some publishing markets.

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Information Lifecycle Management: A Perspective


A new trend is emerging in the world of storage management, and it’s called information lifecycle management (ILM). Just what it is, however, varies significantly from vendor to vendor. Generally, ILM is a strategy for policy-based information management. Its mandate: to provide centralized management of all information assets, aligning storage resources with the value of the data residing in them.

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How Bar Codes Can Optimize Data Recording and Information Analysis


Bar code technology allows users to analyze information to develop more accurate maintenance, personnel, and financial planning. In particular it can hasten the data recording processes in a maintenance system, as seen in its use in the aircraft maintenance process.

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