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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 mangement


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

data mangement  Information White Paper | Data Mangement Benefits | Feeding Databases | Ensuring Data Security | Proliferation of Data | Data Deluge | Data Everywhere | New Ways of Visualising Data | Data Streams | Flow of Data | Cross-system Data | Crunch Data | Exploiting Data | Basket Data | Data Mining | Seismic Data | Database | Social-Security Data | Industrial Revolution of Data | Masters of Data Mining | Collection of Data | Big Data | Raw Data | Proliferating Data | Data Scientist | Mountains of Data | Managing

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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

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » data mangement

The Importance of Plant-level Systems


The information technology (IT) environment in manufacturing is facing a dramatic change. Traditional systems must evolve to support near real time, collaborative business models. This is especially prudent at the plant-level.

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Fleet Assistant


The Fleet Assistant maintenance system developed by Cetaris provides real-time, accurate data enabling users to make proactive decisions to reduce. The focus is primarily on effective PM scheduling, wireless workflow for repair orders and parts, warranty, chronic repair, negotiated parts prices, parts inventory turns, and life cost reporting. The solution is comprised of a series of integrated modules that work together to track, analyze, and present maintenance information for a company's assets. Some of its modules include Digital Dashboard, Key Performance Indicators, Asset, Parts, Work Order, PM, Standard Job, Purchase Order, Supplier, Warranty, Road Call Center, Reports, Help, Administration, and Security. It has been developed using the most advanced .NET multi-tier threaded Smart Client architecture.  

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Quality Management


In today’s global market, providing quality products and services is essential for any manufacturer’s continued growth—but maintaining a competitive edge is not always easy. For success, quality awareness must begin at the conception of the product and continue throughout the various stages of its development. To improve in this area, many manufacturers are now adopting the total quality management (TQM) approach.

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Choosing a Key Management Solution


The modern enterprise deploys a variety of server platforms, operating systems, and programming languages. A major barrier to deploying encryption has been the challenge of accessing encryption keys from these widely divergent environments. This paper helps define the key management needs of your enterprise, while defining the elements necessary to reduce the technical challenges and cost of deployment.

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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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Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

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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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A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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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.

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