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Documents related to » olap perspectives on data warehousing


Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

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Reporting Tools
Analysis and reporting services are an important part of the enterprise resource planning process. Microsoft Dynamics NAV has been designed to give users

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Business Performance Management Basics: An Overview of Business Performance Management and Its Benefits to the Organization
Business performance management (BPM) includes setting key performance indicators, using data mining to discover data patterns and using software to help drive

olap perspectives on data warehousing  BI online analytical processing (OLAP) cubes, sales data can be reflected multidimensionally with rolling sales data over a three-year period. This, however, pales in comparison to dashboard functionality, which allows a sales manager to see up-to-date sales figures in real time, and to compare them against predefined metrics. The sales manager can then drill down on the data to access and analyze operational data in order to determine a plan of action. KPIs vary depending on the function of an Read More...
Business Intelligence: A Guide for Midsize Companies
Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex

olap perspectives on data warehousing  tools '' with embedded OLAP functionality '' permit business users to perform dynamic analyses on their data. As most IT practitioners can attest to, a user working with a static report will likely ask for additional details and modifications; query and analysis tools allow business users to formulate a high-level query and then immediately explore the underlying details on their own. Core BI technology '' like query, reporting, and interactive analysis '' is used to view or analyze what is or has already Read More...
Contemporary Business Intelligence and Its Main Components
Business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process by allowing a company to manipulate corporate

olap perspectives on data warehousing  representations for each combination. OLAP is often used in data mining tools, which is a class of database applications that look in a group of data for hidden patterns that can be used to predict future behavior. For example, data mining can help retail companies find customers with common interests. However, the term is commonly misused to describe software that presents data in new ways. True data mining software does not just change the presentation, but actually discovers previously unknown Read More...
BI: On Demand, On Premise, Open Source, or Outsourced?
On-premise or on-demand, business intelligence (BI) solutions can help businesses become more intelligent about key processes. But what are the benefits to

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Data Warehousing in the Big Data Era: Are You BIReady?
Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary

olap perspectives on data warehousing  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW Read More...
How Companies Use Data for Competitive Advantage
Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

olap perspectives on data warehousing  companies data competitive advantage,companies,data,competitive,advantage,data competitive advantage,companies competitive advantage,companies data advantage,companies data competitive. Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

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Data Pro Accounting Software
Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the

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The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

olap perspectives on data warehousing  Big Data,Big Data architecture,Big Data challenges,Big Data system,Big Data technology Read More...
On Demand or On Premise: Understanding the Deployment Options for Your New Business Management System
When implementing a new business management system, you need to consider many factors. With advances in Web technologies and growth in broadband across the

olap perspectives on data warehousing   Read More...
The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business

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Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

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