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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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 critical technical 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

Business Intelligence (BI)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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Documents related to » critical technical data

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.

critical technical data  be 100% clean on critical (shared) data. Many customers, such as DOD or Wal-mart are threatening fines if data is not clean. Do you have any internal business intelligence tools, Product information management tools? If so, these will make the physical data pulls, and cleansing steps easier. If not, no big deal, you just need to be aware that you will have some overhead for some behind the scenes technical tasks that are required in the process. Dirty data manifests itself in many different anomalies, Read More

Critical Components of an E-PLM System


E-business has prompted a lot of vendors to move towards creating electronic product lifecycle management (e-PLM) suites. However, enterprise resource planning vendors with extensive e-commerce initiatives, development staffs, and renewed interest in PLM, are as likely to lead the way.

critical technical data  of part serial numbers critical to meeting regulatory requirements in the A&D industry. In the product life cycle, workflow differs at various stages of a product''s life. In addition, different information technology (IT) systems will integrate with an e-PLM application for development, manufacturing, and MRO activities. The capability to automate the workflow of tasks for the people that need it and to seamlessly pass data between IT systems is necessary for e-PLM to be successful. Productivity gains Read More

Access to Critical Business Intelligence: Challenging Data Warehouses?


There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a possibility—unless the business intelligence (BI) product developer understands the potential problem and addresses it as a business-critical factor.

critical technical data  to Critical Business Intelligence: Challenging Data Warehouses? Direct Access Rather Than a DW for Mid-Market? For a long time, data warehousing used to be synonymous with business intelligence (BI), to the extent that there is a deep ingrained belief that BI cannot be conducted without a data warehouse (DW). Indeed, when companies are dealing with a deluge of data, it helps to have a DW, since it offers large corporations the ability to leverage information assets to support enterprise reporting Read More

Captured by Data


The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary to explore how asset data can be used to further the aims of maintenance.

critical technical data  and unacceptable failures However, critical failures, those that cause an asset to underperform, have unacceptable consequences and cannot always be managed in a similar way. For example, if a failure has high operational impact or economic consequences, then allowing it to fail prior to determining how to manage them is actively counterproductive to the aims of cost-effective asset management. Moreover, recent history reinforces the fact that failure of assets can lead to consequences for safety or Read More

SQL Server Technical Briefing


iSCSI storage area networks (SANs) offer an alternative for building SANs. Consolidating storage in a SAN offers storage management and scaling benefits for data centers, and iSCSI support in Windows Server 2003 makes connecting servers to an iSCSI SAN easier and more affordable. Read this technical briefing to understand best practices and the benefits of using an iSCSI SAN with SQL Server 2005.

critical technical data  configuration and operation are critical to overall SQL operations and performance. Whether you select Fibre Channel or gigabit Ethernet connectivity for your SAN, proper storage configuration is key to effective SQL Server performance and reliability. Historically, larger SAN deployments relied on Fibre Channel storage networking; recently iSCSI has become available across a variety of enterprise storage arrays, offering a wide variety of choices for SAN storage. iSCSI can be deployed for any size Read More

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.

critical technical data  data governance,data governance best practices,data governance model,data governance institute,what is data governance,data governance framework,data governance roles and responsibilities,data governance definition,data governance strategy,data governance software,data governance conference 2010,data governance maturity model,master data governance,data governance tools,data governance charter Read More

Understanding the PCI Data Security Standard


The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

critical technical data  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , 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.

critical technical data   Read More

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

critical technical data  spend analytics,performance management software,spend analyses,supplier risk assessments,data enrichment and classification Read More

Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

critical technical data   Read More

Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

critical technical data   Read More

Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

critical technical data   Read More

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

critical technical data  and rack infrastructure for critical networks. Neil is currently leading the effort at APC to develop high-efficiency, modular, scalable data center infrastructure solutions and is the principal architect of the APC InfraStruXure system. Prior to founding APC in 1981, Neil received his Bachelors and Masters degrees from MIT in electrical engineering where he did his thesis on the analysis of a 200MW power supply for a tokamak fusion reactor. From 1979 to 1981, he worked at MIT Lincoln Laboratories on Read More

Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

critical technical data  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW Read More