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		<id>https://www.cloud.enterpriseplus.tools/index.php?action=history&amp;feed=atom&amp;title=LEAD_Reference_Content%3AAnalytical_Data_Components</id>
		<title>LEAD Reference Content:Analytical Data Components - Revision history</title>
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		<updated>2026-05-27T04:50:54Z</updated>
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		<id>https://www.cloud.enterpriseplus.tools/index.php?title=LEAD_Reference_Content:Analytical_Data_Components&amp;diff=6379&amp;oldid=prev</id>
		<title>Admin at 13:14, 25 January 2017</title>
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				<updated>2017-01-25T13:14:34Z</updated>
		
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				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 13:14, 25 January 2017&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 27:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 27:&lt;/td&gt;&lt;/tr&gt;
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&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
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&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[Category: Big Data]]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[Category: Big Data]]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[Category: Data &amp;amp; Analytics]]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[Category: Data &amp;amp; Analytics]]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
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&lt;/table&gt;</summary>
		<author><name>Admin</name></author>	</entry>

	<entry>
		<id>https://www.cloud.enterpriseplus.tools/index.php?title=LEAD_Reference_Content:Analytical_Data_Components&amp;diff=6369&amp;oldid=prev</id>
		<title>Admin: Created page with &quot;{{DISPLAYTITLE: Analytical Data Components}} == Analytical Data Components == '''Operational Intelligence Services:''' These services focus on providing real-time monitoring a...&quot;</title>
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				<updated>2017-01-25T13:00:44Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot;{{DISPLAYTITLE: Analytical Data Components}} == Analytical Data Components == &amp;#039;&amp;#039;&amp;#039;Operational Intelligence Services:&amp;#039;&amp;#039;&amp;#039; These services focus on providing real-time monitoring a...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{DISPLAYTITLE: Analytical Data Components}}&lt;br /&gt;
== Analytical Data Components ==&lt;br /&gt;
'''Operational Intelligence Services:''' These services focus on providing real-time monitoring and event-based analytics of business processes and activities. They assist in optimizing the business through improved process modelling and analysis of industry and even customer-specific scenarios.&lt;br /&gt;
&lt;br /&gt;
'''Query, Report, Scorecard Services:''' These are the basic services, such as business report generation, report versioning, traditional batch reports, and query planners, but also more sophisticated services to allow ad-hoc queries for supporting on-demand report generation.&lt;br /&gt;
&lt;br /&gt;
'''Exploration &amp;amp; Analysis Services:''' These are the core capabilities, such as OLAP and slicing and dicing services for performance optimization, trend, trend series analysis, and descriptive statistics. Sorting, filtering, and calculation services are also included.&lt;br /&gt;
&lt;br /&gt;
'''Data Warehouse Services:''' As stated previously, DW services technically underpin and enable BU and PM solutions through various services, such as different data partitioning capabilities, Materialized Query Tables (MQT), and Multi-Dimensional Clustering (MDC) services.&lt;br /&gt;
&lt;br /&gt;
'''Identity Analytics Services:''' Relevant for fraud detection and prevention scenarios, these identity analytics services include identity verification and resolution, non-obvious relationship discovery, and name recognition in heterogeneous cultural environments.&lt;br /&gt;
&lt;br /&gt;
'''Unstructured and Text Analytics Services:''' These services provide analytics on Unstructured Data and text. Typical techniques include named entity recognition (detect names) and relationship detection (for example, a part causes a problem). Another technique is co-reference resolution; for example, Ulrik works for LEADing Practice. He is a co-author of this paper.&lt;br /&gt;
&lt;br /&gt;
'''Discovery Mining Services:''' Finding patterns in data is the key capability delivered by Discovery Mining Services. Techniques applied cover association rules (to find products typically purchased together by customers), sequential patterns (to discover a typical series of events), and clustering (to group similar data records to detect fraud patterns).&lt;br /&gt;
&lt;br /&gt;
'''Predictive Analytics Services:''' Using known results to create models capable of predicting future values is the heart of Predictive Analytics.&lt;br /&gt;
&lt;br /&gt;
'''Cubing Services:''' Cubing Services depend on a cube model and typically have four stages within their lifecycle: design, test, deploy to production, and delete. They provide multi-dimensional views for data stored in a relational database. Cubing Services enable the creation, modification, and seamless deployment of cube models over the relational warehouse schema. Improving the performance of OLAP queries, a core component of DW and analytics, is another key capability of Cubing Services.&lt;br /&gt;
&lt;br /&gt;
Analytical Services are requested from other components. An example is the identity resolution or any other identity analytics service that might be requested from an operational system. For example, in a banking context, an operational system might require a serice that attempts to verify the identity of a new customer in the scope of a New Account Opening business process.&lt;br /&gt;
&lt;br /&gt;
Analytical Services request services from other components. An example is the transformation and quality improvement of source data prior to storing data records in a DW or a data mart. These services are requested from the EII Component.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:Analytical Applications Components.png|thumb|800px|Figure 1: Analytical Data Components.]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category: Big Data]]&lt;br /&gt;
[[Category: Data &amp;amp; Analytics]]&lt;br /&gt;
[[Category: Information Architecture]]&lt;br /&gt;
[[Category: Application Hosting, Management &amp;amp; Development]]&lt;br /&gt;
[[Category: Analytics]]&lt;/div&gt;</summary>
		<author><name>Admin</name></author>	</entry>

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