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* (c) 2005 Phil Taylor - Blue Flame IT Ltd
* $Id: combomax.php 9 2005-07-04 23:00:21Z me $
* $Revision: 9 $
* $Date: 2005-07-05 00:00:21 +0100 (Tue, 05 Jul 2005) $
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Oracle Data Warehousing... |
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Information is the lifeblood of any organisation, and yet businesses often take no steps to ensure it is centralised, ordered and accessible. Instead vital data is left scattered across multiple systems and in various incompatible file formats, the manual collation of which becomes an onerous, error-prone chore. In this environment delivering quality business insight is a near-impossible task.
Oracle Data Warehousing solutions are designed to tackle this challenge by providing a scalable, centralised store of information which can form the foundation of a BI strategy. By transforming raw data from numerous disparate systems into quality information suitable for analysis you can provide individuals with the insight and understanding they need to make crucial decisions. Oracle offer a full range of data warehousing applications to ensure you get the most from your data:
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Oracle Warehouse Builder facilitates the extraction of raw data from just about any source, and its transformation into optimised information. With its flexible and modern GUI, Warehouse Builder makes constructing and modifying ETL processed between warehouses and end users, a simple and rapid procedure.
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Oracle Partitioning allows a table, index or index-organised table to be subdivided into smaller chunks. This finer level of granularity can dramatically improve the ease and speed at which information can be managed, accessed and made available to end-users.
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Oracle OLAP provides prompt answers to complex ad-hoc queries. Thousands of users from across an organisation can concurrently benefit from advanced analysis in planning, forecasting, budgeting and sales, helping them make better decisions, faster. What’s more, Oracle OLAP is compactly housed on a single server, keeping down purchase and maintenance costs.
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Oracle Data Mining gives users the tools they need to extract insight and detect patterns in an Oracle database, and provides application developers with the power to automate the distribution of significant data discoveries. Mining allows raw data to be used quickly and efficiently, producing actionable information when it is required.
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