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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 quality open source


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

data quality open source  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.

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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 » data quality open source

TEC Talks to the Compiere ERP/CRM ProjectFree and Open Source Software Business ModelsPart Three: Compiere/ComPiere


Compiere project leader, Jorg Janke, reveals to TEC the advantages and difficulties in developing an ERP solution as Open Source software. Jorg explains some of the intricacies in modeling a business around servicing mature Open Source software.

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Demand at the Fount of Open Source Part Two: A Primer Based in Demand Trends


Organizations globally, are contributing to increased demand for Free and open source software but vendors may not yet be meeting this demand. This article highlights FOSS fundamentals with the goal of adding clarity for the uninitiated.

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Google Takes on the Data Quality Space with Its New Refine 2.0 Product


After Google’s recent acquisition of Metaweb comes Google Refine 2.0 (formerly Freebase Gridworks 1.0), a tool that enables organizations to work in the refinement of large data sets. The new product is open-source based and comes with a large number of transformation expressions and commands. It can transform data from one format to another, as well as including data from external sources (other

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Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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The Teradata Database and the Intelligent Expansion of the Data Warehouse


In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Data Warehouse in detail, including functionality, distinguishing characteristics, and Teradata's role in the competitive data warehouse space.

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2012 Business Data Loss Survey results


This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now.

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opentaps Open Source ERP


opentaps Open Source ERP offers the features and scalability required for enterprise software with the flexibility and low cost of ownership often associated with open source solutions. It is an ERP-oriented distribution of the Open For Business (OFBiz) project for end users and implementation service providers. opentaps ERP is sponsored by Open Source Strategies, Inc., one of the core developers in the OFBiz community. The OFBiz project has been available and evolving since 2001. It involves a global developer community based in the United States, Europe, and Asia and has been deployed in a product-oriented retail, distribution, and manufacturing companies.    

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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Big Data: Operationalizing the Buzz


Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more.

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