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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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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 etl valuable data integration

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

Business Intelligence (BI)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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Documents related to » etl valuable data integration

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 performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

etl valuable data integration  used to limit the ETL processes to nodes 1 and 2 in the cluster and Ad-hoc queries to node 3 and 4. Workload Monitoring In order to have an overall view of what is happening on your system and to establish a baseline in expected performance you should take hourly AWR or statspack reports. However, when it comes to real-time system monitoring it is best to start by checking whether the system is using a lot of CPU resources or whether it is waiting on a particular resource and if so, what is that Read More

Achieving a Successful Data Migration


The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

etl valuable data integration  Data Migration CRM | ETL Data Migration | ETL High Speed Data Migration | ETL Data Migration Tool | ETL Data Tape Recovery | ETL Data Migration Strategies | ETL Migrate Data Cost-Efficiently | ETL Data Migration Guide | ETL Process of Transferring Data | ETL Data Migration Solutions | ETL Data Migration Projects | ETL Data Migration Professional Resource | ETL Term Data Migration | ETL Data Migration Pro | ETL Data Migration Manager | ETL Data Migration Steps | ETL Data Migration Process | ETL Data Read More

Financial Reporting, Planning, and Budgeting As Necessary Pieces of EPM Part Two: Challenges and User Recommendations


Although CPM (aka EPM) starts with strong financial management, it will eventually extend beyond financial planning to almost all areas of corporate activity. Therefore, organizations choosing BI suites should consider both their financial management tools and future integration with key business-area solutions (for example, PLM, CRM, and SCM).

etl valuable data integration  extract, transform and load [ETL] tools; and dashboards or executive information system [EIS]) to BPM applications and scorecard products. Thus, CPM is the evolutionary combination of technology and philosophy, building on the foundation of technology and applications that many enterprises will have likely already implemented. The demand for these applications lies in the fact that they incrementally add value to already installed business applications, even the legacy ones, to a degree that the Read More

The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

etl valuable data integration  real-time data warehouse, the ETL batch mechanism based on a table or file transfer is replaced with a design in which data flows from very different yet synchronized data sources into the data warehouse. Data will be considered valuable if it flows at the right speed and not necessarily at real-time speed. This data cycle will depend on the analytical purpose the data is used for. Real-time data is an essential part of the analytical process, but historical data remains an essential part of the design Read More

Analyse This


Enterprise applications have long been providing the means for businesses to collect required data and deliver it to the right people. Now that sales and marketing professionals are empowered with the right tools to better serve their customers and gather insights on all customers' interactions, the question to ask is what's next? We see the answer in a tight integration between Enterprise applications and Analytics.

etl valuable data integration  data and make predictions. ETL tools: Short for extract, transform, load; three database functions that are combined into one tool to pull data out of one database and place it into another database. Extract — the process of reading data from a database. Transform — the process of converting the extracted data from its previous form into the form it needs to be in so that it can be placed into another database. Transformation occurs by using rules or lookup tables or by combining the data with other Read More

Business Basics: Unscrubbed Data Is Poisonous Data


Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.

etl valuable data integration   Read More

TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

etl valuable data integration  DCIM, data center, data center infrastructure management, DCIM management, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, data center cooling module, data center power and cooling infrastructure, traditional data center, containerized data center, data center TCO 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 classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.

etl valuable data integration  data protection,data backup,disaster recovery,data recovery Read More

Enterprise Application Integration - Where Is It Now (And What Is It Now)? Part 2: Where Is It Now?


Enterprise Application Integration has changed massively in the past two years. Where is the market, and what vendors are left in the game?

etl valuable data integration  application integration,enterprise application integration,cloud integration,software development companies,saas integration,middleware solutions,systems integration services,eai vendors,eai consultant,eai products,eai software,custom software development,eai web services,erp software,siebel integration Read More

Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

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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 corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX.

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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 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.

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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 is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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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 BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

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