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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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 external marketing research data healthcare


Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

external marketing research data healthcare  job, or integrated with external systems and applications, such as SAP, Informatica, Oracle, PeopleSoft, and Siebel. The capability of Data Quality XI to call a data quality workflow as a Web service in an SOA environment enables the workflows to be used dynamically by an organization’s operational business processes and the quality of information to be checked, in-flight, as it flows between systems and applications. Support for Web services and an SOA environment in Data Quality XI allows data

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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

Enterprise Marketing Management (EMM)

The Enterprise Marketing Management (EMM) Knowledge Base research helps determine support levels of various systems that help companies market their services or products effectively and efficiently. EMM tools help manage strategic planning and marketing resources (sometimes referred to as marketing resource management or MRM). This KB also covers rule-based techniques, pattern recognition, and other profiling features.  

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Documents related to » external marketing research data healthcare

Apparent BPM in the Cloud—Analyst Roadshow


Apparancy was born out of the idea to create a fresh business process offering that takes the best of what traditional BPM suites can provide—from workflow and business process execution to process monitoring and control monitoring—and combines it with key additional value for an organization.

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Big ERP Players Courting Government Agencies


There has been significant activity in the public sector, with all major players winning important new federal contracts for Enterprise Resource Planning (ERP). This strong government interest in ERP applications means that ERP seems to be getting some infusion from this sector at least.

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The Power of a Comprehensive B2B Gateway


The ability to securely exchange information with trading partners is vital to your success. And while the type of information varies by industry, the goal is the same: standardized, synchronized, streamlined exchange of information across the trading community. Learn how Inovis BizManager provides direct, secure data exchange, and can reduce the time, cost, and effort of fulfilling electronic communication requirements.

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Collecting Meaningful Data from the Web: Once an Impossibility, Now a Reality


The traditional way of extracting data from disparate data sources has been transformed by the emergence of new tools and applications, as well as the appearance of new and massive sources of information like the Web. Learn about tools you can use to turn Web data into an important asset for your organization.

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Hypatia Research


Industry analyst and market research firm Hypatia Research Group provides market intelligence, industry benchmarking, best practice, maturity model, and vendor selection research for how businesses use software technology, professional services, and management consulting providers to capture, manage, analyze, and apply customer and market intelligence to enhance corporate performance and to accelerate growth.

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Data Management and Business Performance: Part 1-Data


Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of

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


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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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.

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Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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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.

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