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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 data models in dbms


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

data models in dbms  examples for deploying a data warehouse on Oracle Database 11g and leveraging it’s best-ofbreed functionality. The paper is divided into four sections: The first section deals with the key aspects of configuring your hardware platform of choice to ensure optimal performance. The second briefly describes the two fundamental logical models used for database warehouses. The third outlines how to implement the physical model for these logical models in the most optimal manner in an Oracle database. Finally

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » data models in dbms

Glossary of Enterprise Applications Terminology Part Two: Just-in-Time to Extensible Markup Language


As enterprise applications systems developed over time, a continuous stream of new terminology surfaced. This is a glossary of those terms.

data models in dbms  production units, document control, data collection and acquisition, labor management, quality management, process management, maintenance management, product tracking and genealogy, and performance analysis. It can provide feedback from the factory floor on a real-time basis. It interfaces with and complements ERP systems. online analytical processing (OLAP) : A category of software tools that provides analysis of data stored in a database. OLAP tools enable users to analyze different dimensions of 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, enterprise information integration, and corporate performance management are among the proposed solutions, but do they really deliver real time information?

data models in dbms  online analytical processing (OLAP) data manipulation, modeling functions (what-if analysis), statistical analysis, and graphical presentations of results (charting) to create data-rich applications. The applications have customized user interfaces (UI), and are organized around specific business problems that target business analyses and models. Part Three of the Business Intelligence Status Report series. Most BI platform vendors also offer their own BI applications as the BI platform's validation. Read More

SAP Bolsters NetWeaver's MDM Capabilities Part Two: xCat and SAP MDM


SAP purports that SAP MDM also lays the foundation for efficient and accurate exchange of cross-business information. Consumer products companies, for instance, can exchange timely product information with retail distributors, avoid costly inaccuracies, enhance merchandizing, and improve supply chain operations.

data models in dbms  communication. It allows central data maintenance to group logically related objects and distribute these concurrently into designated systems. Automated publish and subscribe models ensure that the right information is easily and cost-effectively delivered to the right destination. Further, with its data consolidation, harmonization, maintenance, and distribution mechanisms for SAP and non-SAP solutions, SAP MDM aims at helping companies derive even more value from their existing technology investments Read More

Has the Mid-market Found Vanguard BI Solutions?


Enterprise performance management (EPM) and business intelligence (BI) supplier, Vanguard Solutions Group's business strategy focuses on selling with and through enterprise resource planning (ERP) and other enterprise application vendors. Over the last few years, the strategy has proven to be successful; however, the ongoing industry consolidation continues to shrink the prospective partner list—is this an opportunity or a challenge to Vanguard and its partners?

data models in dbms  ERP products, translating the data stored within the transactional ERP database into information used to make prudent enterprise decisions has proven to be difficult. Vanguard's GPS BI solution's availability and its deep understanding of operational systems within its industries of focus to build its own data and information integration capabilities that can quickly assemble data into predefined data models, has reportedly enabled the above mid-market ERP vendors to provide their customers with a Read More

Business Intelligence in SAP Business All-in-One: Improve Transparency and Agility


Business intelligence (BI) functionality can help your company gains visibility, insight, operational alignment, and accountability to increase revenue, margins, and liquidity; streamline processes; improve agility; and become a best-run business. Find out more in this report about a preconfigured solution.

data models in dbms  business intelligence functionality,sap business all in one,improve transparency,improve agility,how to improve agility,exercises to improve agility,how to improve agility and speed,activities to improve agility,ways to improve agility,sap business all in one review,sap business all in one solution Read More

Metadata Standards in the Marketplace - Why Do I Care? (And Where Does Godzilla Fit In?)


Metadata (“data about data”) is essential for data warehousing. Metadata standards allow different products to interact. Without standards, different vendors’ tools cannot work together seamlessly and the customer’s warehousing effort is greatly complicated.

data models in dbms  data ) is essential for data warehousing. In order to populate a database, extract data, or run a report, more is required than simply raw data. The tools involved must also understand the context, or meaning, of the data. This is one of the purposes of metadata. Consider 2.5. This could be an amount in dollars, yen, or euros. It could be a mail stop at a company. It could be the height in meters of a member of the Boston Celtics. Nothing about the number itself can tell you what it means. To interpret Read More

SAP In-memory Appliance (SAP HANA): The Next Wave of SAP In-memory Computing Technology


Download this datasheet to get a rundown of SAP HANA's functionality and the benefits it can provide for your business.

data models in dbms  Computing Technology Download this datasheet to get a rundown of SAP HANA's functionality and the benefits it can provide for your business. Read More

Leadership When It Really Matters: A Closer Look at Investing in PLM Technology to Profit in a Down Economy


Loss of strategic vision and leadership can pose a greater threat to organizations than dramatic economic downturn. Companies that invest in technology wisely will gain a competitive advantage and even prosper during hard times. Achieving financial results hinges on finding a product lifecycle management (PLM) solution that delivers business benefits not only in the short-term but also long into the future. Read how now.

data models in dbms  retail industry,consumer goods industry,apparel industry,PLM software,product lifecycle management software Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

data models in dbms  BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More

Best Practices for Managing Just-in-time (JIT) Production


Just-in-time (JIT) manufacturing “is not procrastination, but making a commitment once the scales are tipped in the favor of certainty.” How do you keep your company from falling prey to the “deer-in-the-headlights” syndrome and suffering from decision failures? In this guide, experts share their top seven best practices for deftly managing JIT manufacturing.

data models in dbms  just-in-time production,just-in-time manufacturing,JIT manufacturing,JIT best practices Read More

Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

data models in dbms  Enterprise Data: Data at the heart of the company The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, Read More

A New Discipline in E-mail Etiquette: Creating Confidence in Enterprise E-mail


E-mail is a powerful business tool that most enterprises can’t live without. Unfortunately, along with its capability of accelerating commerce, productivity, and social interactions, there are some drawbacks—such as spam! Companies that rely on e-mail to do business simply can’t afford the negative affects of spam. However, new technology is emerging that helps stop spam and allows users to get on with business.

data models in dbms   Read More

Best-in-class Strategies for Selecting an ERP Solution in 2013


Enterprise resource planning (ERP) represents a serious investment for any organization and is vital to future success. Top performing organizations approach the selection process with a clear plan and come away with solutions that implement smoothly and help drive business immediately. This report explores the strategies best-in-class organizations employ to find the right ERP fit that will give them the tools they need to thrive.

data models in dbms  ERP selection strategy,best-in-class ERP selection,line of business ERP,integrated business applications,best-fit ERP Read More

Metadata Standards in the Marketplace - Why Do I Care? (And Where Does Godzilla Fit In?)


Metadata (“data about data”) is essential for data warehousing. Metadata standards allow different products to interact. Without standards, different vendors’ tools cannot work together seamlessly and the customer’s warehousing effort is greatly complicated.

data models in dbms  data ) is essential for data warehousing. In order to populate a database, extract data, or run a report, more is required than simply raw data. The tools involved must also understand the context, or meaning, of the data. This is one of the purposes of metadata. Consider 2.5. This could be an amount in dollars, yen, or euros. It could be a mail stop at a company. It could be the height in meters of a member of the Boston Celtics. Nothing about the number itself can tell you what it means. To interpret Read More