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Documents related to » olap data warehouse automation


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

olap data warehouse automation  Warehousing , Data Warehousing OLAP , Resource Data Warehouse , Land and Resource Data Warehouse , Data Warehouse Web Site , Data Mining , Data Mart , Data Warehouse Architecture , Data Warehouse Concepts , Data Warehouse Tutorial , Data Warehouse Definition , OLAP , Business Intelligence , Huge Data Warehouse , Data Warehouse Appliance . NOTE: The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. Read More...
Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools
Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization

olap data warehouse automation  of query, reporting and OLAP capabilities, all available with the idea of minimal training. The BI market is currently crowded with a number of vendors with adept product suites. Some players in the market include MicroStrategy , Informatica , Information Builders , Oracle , IBM , SAP , Microsoft , Teradata , and Ascential , which was reunited with its short-term foster parent Informix , when Ascential was acquired by IBM , and See IBM Buys What''s Left of Informix ). Other vendors include Applix , Read More...
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

olap data warehouse automation  Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More...
The Strengths of a Vertically Centric Enterprise Software Provider
Verticent, a revitalized reincarnation of the languishing public mid-market enterprise applications vendor PowerCerv, seems to be thriving under a financially

olap data warehouse automation  product''s online analytical processing (OLAP) and executive information system (EIS) and dashboard capabilities. They are Web-enabled and have browser-influenced navigation, providing the user with pre-defined drill path and drill anywhere capabilities, pre-defined metadata settings, object modeling using JavaScript, and report scheduling capabilities. Throughout the 1990s, over $30 million (USD) was poured into the development of the client/server, PowerBuilder-based flagship, ERP Plus. It is a tightly Read More...
The Importance of Plant-level Systems
The information technology (IT) environment in manufacturing is facing a dramatic change. Traditional systems must evolve to support near real time

olap data warehouse automation  Importance of Plant-level Systems Plant-Level Situation Currently, there are industry-wide concerns about the lack of consensus to define standards for connectivity and interoperability between various plant automation, manufacturing execution, and enterprise level systems. The upsurge of interest in standards-based interoperability indicates that manufacturers need better options to connect business processes throughout the organization. Investments made in systems managing production processes in plan Read More...
Warehouse Control Systems: Orchestrating Warehouse Efficiency
You’re probably already familiar with the role of a warehouse management system (WMS). But a warehouse control system (WCS)? In your warehouse, a WCS can play

olap data warehouse automation   Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

olap data warehouse automation  Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

olap data warehouse automation  Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. Read More...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

olap data warehouse automation  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. 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 data warehouse automation  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 the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian''s master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

olap data warehouse automation  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization''s customer-related data does not affect a company''s bottom line, unless Read More...
Simulation In The Warehouse
Simulation can remedy one time and ongoing problems in the warehouse. Learn about the technology of computer stimulation and how it can benefit senior

olap data warehouse automation  storage,catalyst,simulation,management,logistic Read More...
Business Automation Solutions
Business Automation Solutions, Inc., (BAS) is a premier GoldMine CRM consultant and trainer. Since 1995, we’ve operated as a SMART (Sales, Marketing and

olap data warehouse automation  gold mine,goldmine Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

olap data warehouse automation  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data''s Data Quality Suite operates like a data quality firewall '' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More...

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