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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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 system data

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 » system data

Data Center Projects: System Planning


System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and a compromised system. These troubles can be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively transform and refine data from initial concept to final design. Learn more.

system data  be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively transform and refine data from initial concept to final design. Learn more. Read More

Augmenting Data Backup and Recovery with System-level Protection


File-level recovery on its own is an incomplete strategy when it comes to meeting stringent recovery time objectives (RTOs) for complete system recovery. This paper investigates what’s at risk, where system-level recovery fits relative to current data protection approaches, the impact of system-level recovery on your IT department’s ability to meet RTOs, and the potential of system-level recovery to reduce costs.

system data  objectives (RTOs) for complete system recovery. This paper investigates what’s at risk, where system-level recovery fits relative to current data protection approaches, the impact of system-level recovery on your IT department’s ability to meet RTOs, and the potential of system-level recovery to reduce costs. Read More

Ask the Experts: Data Purging and System Migration


One reader recently wrote in with this question: "... I wondered if you can point me at any related sites/groups/publications for more established users that discusses, for example migrating between ERP systems, purging ERP data, integrating data from acquired companies into ERP and PLM"We thought we’d take this on ourselves—but see the bottom of this post for more

system data  I mentioned, the old system will have valid data for some time. It may be that the switchover is done on a midnight when the decision taken is to remain on the live system, and not do a fall back. In this case, you will need to address the problem of what to do with your web site interfaces if something goes wrong. For this reason, you should only update these interfaces once you are sure the implementation is a success. (Yes, some go-lives fail the first time. This happens mainly with large systems Read More
Polymita Technologies

Benefits of Using a Master Data Management System


Master data management (MDM) comprises a set of processes and tools that define and manage the non-transactional data entities of an organization (also called reference data). MDM provides processes for consolidation, quality assurance, and distribution of such data throughout a company to ensure consistency and control in the ongoing maintenance and use of this information. Discover the benefits of an MDM system.

system data  a Master Data Management System Master data management (MDM) comprises a set of processes and tools that define and manage the non-transactional data entities of an organization (also called reference data). MDM provides processes for consolidation, quality assurance, and distribution of such data throughout a company to ensure consistency and control in the ongoing maintenance and use of this information. Discover the benefits of an MDM system. Read More

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.

system data  data in the current system and then migrate, or correct the data in the new system before bringing it online. Either action would require considerable work and demand changes to business processes and behaviors to ensure ongoing manufacturing productivity. Data Quality Control Every business application should be periodically assessed for data quality. It should be a quarterly effort to assure reliable processing and to maintain the value of business decisions made from data. Software tools such as Read More

Don't Be Overwhelmed by Big Data


Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Big Data can be a Big Deal - read this white paper for some useful tips on ensuring secure, quality data acquisition and management.

system data  t Be Overwhelmed by Big Data Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Read More

Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

system data  Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data. Read More

Phone System Buying Checklist


Phone System Buying Checklist. Are you buying a new business phone system but have a few critical questions?

system data  System Buying Checklist Are you buying a new business phone system —but have a few critical questions? Will it boost productivity and reduce costs? Does it have the right features for your company''s needs? Will it integrate easily with the other technologies your employees are using? The Phone System Buying Checklist lays out the nine most important questions to ask when you''re in the market for a new phone system. So you can get the right system, from the right vendor, at the right terms Download Read More

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 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.

system 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 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. Read More

Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

system data  interesting insights on Kognitio’s systems as well the BI and the data warehouse space in general. Roger Gaskell is responsible for all the product development that goes on at Kognitio. Prior to Kognitio, Mr. Gaskell worked as a test development manager at AB Electronics, primarily for the development and testing of the first mass production of IBM personal computers. 1.    Hello, Mr. Gaskell. Could you give us a brief introduction to Kognitio and the products the company offers? Certainly. Kognitio Read More

Agile Data Masking: Mitigate the Threat of Data Loss Prevention


You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise's data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks.

system data  Data Masking: Mitigate the Threat of Data Loss Prevention You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise''s data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks. Read More

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.

system data  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. Read More