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| Glossary |
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Know more about Business Intelligence
Being new to business intelligence or wanting to know more. Find appropriate demos, whitepapers and articles to keep you abreast with the latest in BI, Enterprise Reporting, Data Integration and Performance Management trends.
Learn how ElegantJ BI Suite with comprehensive, integrated capabilities for query, reporting and analysis built-in a single, user-friendly zero foot print browser interface can maximize performance for competitive advantage.
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Here is the comprehensive list of
glossary terms of your interest and reference.
In case you do not find any information you are looking for, please feel free to email us and we will get back to you as soon as possible. |
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Glossary Locate by searching our alphabetical listing. |
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| Management Information Systems (MIS) |
| The term is commonly used to refer to the group of information management methods tied to the automation or support of human decision making. It denotes an enterprise reporting system, which gives managers an overview of business operations. |
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| Measures |
| A measure is a quantifiable, specific piece of information. Without a trend to follow or an expected value to compare against, not much information can be derived from a measure. It especially does not provide enough information to make meaningful decisions. To be useful, measures must be used as part of a metric. |
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| Metadata |
| The sum of all documentation about the data warehousing process in its entirety. Metadata describes the contents of the data warehouse, its structure, and the processes involved in its setup. Metadata should be updated as the system evolves. Essentially, metadata is all the information in the data warehouse environment that is not the actual data itself. |
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| Metrics |
| Measures of performance that monitor progress and assess trends within an organisation. A metric is the comparison of two or more measures. |
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| Multidimensional Analysis |
| The analysis of business indicators by examining them from different points of view. One can examine revenue by product, or revenue by geography, or revenue by time period. It is also known as dimensional analysis. |
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