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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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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...
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 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...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

olap perspectives on data warehousing  data protection,data backup,disaster recovery,data recovery Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

olap perspectives on data warehousing  project management,internalize data centers,data center project management services,data center project management,virtual data center,data center knowledge,data center virtualization Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

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Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

olap perspectives on data warehousing   Read More...
Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce

olap perspectives on data warehousing  data migration,data migration best practices,Globanet,migration software,data migration compliance Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

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The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

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Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

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