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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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 acquisition date and start depreciation dates maintained as asset data


Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

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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 Content Management (ECM) System RFI/RFP Template

Content Authoring, Content Acquisition, Content Aggregation, Output and Content Presentation, Workflow Management, Version Control and Management, Development Tool Technical Architecture, Portal Support, Document and Records Management, Search and Indexing Management, Security Management, Digital Asset Management, Reporting and Statistics Management, Performance, Backup, and Recovery, Product Technology 

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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.

acquisition date and start depreciation dates maintained as asset data  : Business Mergers and Acquisitions Combined products Inherited Legacy Systems Poor or undisciplined data capture Internal static data repositories Automating, merging or implementing new ERP and CRM solutions External file feeds Default entries are used during information gathering for missing data elements Aged data No initiative to maintain clean data So simply put, dirty data creates errors that are having to be manually identified, intercepted and corrected by you, your employees and your Read More

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.

acquisition date and start depreciation dates maintained as asset data   Read More

Data Leak versus Data Flood: Problems Addressed by Data Leakage and Data Breach Solutions


Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving a company via e-mail or Web applications. Database activity monitoring (DAM) is a data center technology that monitors how stored data is accessed. Learn why DAM complements DPL, and how you can benefit by making it part of your overall data security strategy.

acquisition date and start depreciation dates maintained as asset data   Read More

Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

acquisition date and start depreciation dates maintained as asset data  data integration,data cleansing software,free etl tools,data profiling tool,data profiler,data warehouse software,etl comparison,data quality tools,data mapping software,data extraction tools,talend etl,free etl,etl software,data warehousing software,saas integration Read More

Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

acquisition date and start depreciation dates maintained as asset data  web content management software,database metadata,document metadata,information lifecycle management,metadata software,metadata definition,customer data integration,integration of data,metadata information,photo metadata,data integration services,data integration tools,business data integration,data quality analyst,legacy data integration Read More

The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers


The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to changing requirements, support high and variable power density, and reduce power consumption and other operating costs. Find out how row- and rack-oriented cooling architectures reduce total cost of ownership (TCO), and address the needs of next-generations data centers.

acquisition date and start depreciation dates maintained as asset data  cooling solutions following the acquisition of Airflow Company in 2000. Kevin has participated on numerous power management and cooling panels, as well as on industry consortiums and ASHRAE committees for thermal management and energy efficient economizers. Neil Rasmussen is a founder and the Chief Technical Officer of American Power Conversion. At APC, Neil directs the world's largest R&D budget devoted to power, cooling, and rack infrastructure for critical networks, with principal product development Read More

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

acquisition date and start depreciation dates maintained as asset data  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More

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.

acquisition date and start depreciation dates maintained as asset data  application. Also, mergers and acquisitions require data consolidation, with a focus on reference data and business processes (that are represented in the data structures and content). Even if the two organizations have the same software the mapping may not necessarily be straightforward. Another challenge is that a data warehouse migration can seem less complicated because the data is relatively static in the target database; however, the expectations of the business users can be extensive. In a Read More

Deploying High-density Zones in a Low-density Data Center


New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center. The independence of these high-density zones allows for reliable high-density equipment operation without a negative impact on existing power and cooling infrastructure—and with more electrical efficiency than conventional designs. Learn more now.

acquisition date and start depreciation dates maintained as asset data  high-density zones,low-density data center,data center cooling density zones,data center infrastructure density zones,data center efficiency,high-density zones data center dynamics,data center designs high-density zones,apc data center,low-density power cooling infrastructure Read More

Microsoft Goes Their Own Way with Data Warehousing Alliance 2000


Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

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The Fast Path to Big Data


Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

acquisition date and start depreciation dates maintained as asset data  Big Data,Big Data architecture,Big Data challenges,Big Data system,Big Data technology Read More

Is Selling Software in China Really as Hard as It Seems?


You’re a North American software vendor. You’re considering setting up shop in China.  You know that the risks are formidable, but so are the potential rewards. Among the risks: intellectual property piracy issues, cultural adaptation challenges, currency restrictions, and governmental censorship (see The cost of doing business in China: Privacy for an excellent post on the Chinese

acquisition date and start depreciation dates maintained as asset data   Read More

Data Center Projects: Advantages of Using a Reference Design


It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained.

acquisition date and start depreciation dates maintained as asset data  DCIM, data center, data center infrastructure management, DCIM management, DCIM software, DCIM software tools, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center life cycle, data center facility operations, data center PUE, PUE, data center reference design Read More

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

acquisition date and start depreciation dates maintained as asset data  data science, big data, analytics, data SaaS, data scientist, India, data as a service, real-time data, data analytics Read More