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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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 bi 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 » bi valuable data integration

The Truth about Data Mining


It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

bi valuable data integration  to implement in many BI environments. The Raison d''Etre Data mining refers to the process of extracting hidden patterns from large amounts of data. The term mining is often used in conjunction with an end product, such as gold or coal; however, the end product of data mining is not data, but knowledge. Data mining is used in a variety of situations, but here are the most common business scenarios in which it can be considered a potential solution: Data explosion . When the amount of data grows Read More

Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

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SAP BusinessObjects Edge BI for Business Intelligence Certification Report


SAP's business intelligence solution, SAP BusinessObjects Edge BI, is now TEC Certified. The certification seal is a valuable indicator for organizations who rely on the integrity of TEC’s research services for assistance with their software selection projects. Download this 24-page TEC report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary.

bi valuable data integration  RFI; SAP BusinessObjects Edge BI RFI data has been reviewed analytically and comparatively by a TEC analyst against known benchmarks.   Benefits of Evaluating a TEC Certified Product There are many benefits to evaluating a TEC Certified product. To potential clients of a software vendor, TEC certification provides the following: Reassurance: You can be assured that the data TEC provides about its certified products conform to a well-defined standard of accuracy. When a vendor''s product is TEC Certified, Read More

Role of In-memory Analytics in Big Data Analysis


Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be gained from analysis of such big data are immense, so are the inherent challenges, including need for rapid analysis. In his article, TEC BI analyst Jorge García discusses how in-memory analytics helps address these challenges and reap the benefits hidden in big data.

bi valuable data integration  the 90s, and other BI application vendors such as IBM Cognos have been using them for more than a decade. Many software providers provide in-memory capabilities in one form or another, particularly those for data analysis—e.g., BI software providers with applications for online analytical processing (OLAP). With data stored in RAM, OLAP applications can speed the data query and analysis process as well as ease data modeling by applying innovative ways for organizing and storing data. The table below Read More

Improving Business Integration for a Competitive Advantage in the Mid-market


Mid-market companies can level the competitive playing field by using business integration technology. Integrated processes reduce costs by decreasing data entry errors, improving supply chain responsiveness, and increasing inventory accuracy—not to mention eliminating document processing fees and customer charge-backs. But how can mid-market companies leverage the capabilities of "high-end" integration solutions?

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Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

bi valuable data integration   Read More

The Importance of a Single Product for Data Quality and Data Integration


Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.

bi valuable data integration  foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data. 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 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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Jitterbit: Integration in Harmony


California-based provider of cloud-based application and data integration solutions Jitterbit has taken its strategy to offer a platform better adapted to the new requirements of integration at many layers a step further with the release of its integration offering, the Harmony Integration Cloud Platform.

bi valuable data integration  Integration in Harmony California-based provider of cloud-based application and data integration solutions Jitterbit has taken its strategy to offer a platform better adapted to the new requirements of integration at many layers a step further with the release of its integration offering , the Harmony Integration Cloud Platform . In the words of Jitterbit, the Harmony platform will “make it easy for companies to amplify the value of their business apps by connecting them across the entire 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 from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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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?

bi valuable data integration  the first to combine BI software with a corporate portal. Information Advantage was acquired by Sterling Software, which was in turn acquired by Computer Associates. SSL: Secure Sockets Layer . A leading security protocol on the Internet. When an SSL session is started, the browser sends its public key to the server so that the server can securely send a secret key to the browser. The browser and server exchange data via secret key encryption during that session. There are also other key technologies in Read More

RAPid Data Analytics Platform


RAPid Data Analytics Platform is a business intelligence (BI) platform that combines data management and analytics in a single, cloud-based environment for smarter, faster, more insightful business decisions.

bi valuable data integration  is a business intelligence (BI) platform that combines data management and analytics in a single, cloud-based environment for smarter, faster, more insightful business decisions. Read More

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 corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

bi valuable data integration  features available with certain BI applications, will force pre-existing and new data governance initiatives to adapt to new ways of handling and securing data that moves in different ways, whether inside or outside an organization’s firewalls. Any data governance initiative should be treated as a work in progress, requiring the evolving support of human and technological resources Read More

Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

bi valuable data integration  required to identify and combine all data sources that might be relevant. Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access Read More