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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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 open source data profiling


Open Source Business Intelligence: The Quiet Evolution
As organizations face a pressing need to rationalize the cost of enterprise software, open source business intelligence (BI) is fast becoming a viable

open source data profiling  As a direct consequence, open source business intelligence (BI) is emerging as an important choice for new as well as existing BI implementations. Even though most analyst research indicates that its evolution may have been understated thus far, open source BI is growing rapidly. Open source BI solutions have already been proved to complement and integrate well with traditional BI environments. In their own right, open source BI vendors offer competitive technologies and present the irrefutable advantage

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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

Open Source and Linux, IT Services Software Evaluation Report

The model of IT services for Free and Open Source software (FOSS) helps identify the characteristics clients require from consultants, integrators, resellers, etc. to develop, support, migrate, and implement enterprise solutions or services that are based on, or are themselves, FOSS. In addition, it supports standard criteria important to enterprise Linux rollouts or migrations. 

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Documents related to » open source data profiling

Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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Comparing Business Intelligence and Data Integration Best-of-breed Vendors' Extract Transform and Load Solutions


There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality into their overall BI framework, while best-of-breed data integration vendors, who provide enhanced ETL functionality, have an increased focus on data cleansing and integrity.

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How Midsize Businesses Can Reduce Costs, Secure Data, and Ensure Compliance with an Identity Management Program


A strong identity management platform plays dual roles: gatekeeper and guardian of business intelligence (BI) and data. Midsize businesses can’t operate effectively without the ability to control access to their networks and business systems. And, many midsize companies must report on this information for compliance purposes. Learn about the factors driving midsize companies toward stronger identity management systems.

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May a New Day Begin for Mature Enterprise Applications - Part 2


Part 1 of this blog series outlined the trend of enterprise applications vendors’ attempts to win their users’ hearts and minds (as well as wallets) via more intuitive and appealing user interface (UI) and user experience (UX) design. What that means is that users can now more quickly obtain all of the relevant information they need in a personalized way, with drill-downs and other slick

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Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

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Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

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Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

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Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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Source Media


Source Media produces content for the financial and technology industries, including analysis and news. Its sites include American Banker and Accounting Today.

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

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