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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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 comment 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

Core PLM--Product Data Management - Discrete RFI/RFP Template

Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology  

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Guidelines for Specification of Data Center Power Density


Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT equipment. Discover an improved method that can help assure compatibility with anticipated high-density loads, provide unambiguous instruction for design and installation of power and cooling equipment, prevent oversizing, and maximize electrical efficiency.

comment technical data  center Data Value Units Comment Total IT racks available 28 # Some of the space in the data center is consumed by power and cooling equipment Total initial power requirement 47 kW At least 47 kW of power and cooling equipment must be installed initially. Using Figure 1, based the density of Row 1, 2 and 3, the number of IT racks spaces available is 6, 4, and 5 respectively (6 x 2 kW / rack + 4 x 5 kW / rack + 5 x 3 kW / rack = 47 kW) Total final power requirement 104 kW The remainder of the power and Read More

TurtleSpice ERP! (Week 5)


Welcome to Episode 5 of TurtleSpice ERP, our virtual ERP selection simulator! We’re following one company’s software selection process, from beginning to end—with a twist: It’s up to you to make sure comptroller Mike Chelonia stays on track and selects the right ERP system for the company. Cast your vote, and next week I’ll move the scenario forward based on the winning answer

comment technical data  shoes ? (Feel strongly? Comment below!) Voting is now closed for this episode.  Find out what happened next ! Want to read more about IT failures before deciding? IT Catfight in Portland 15 Non-technical Reasons IT Projects Fail When Bad Things Happen to Good Projects 8 Expensive IT Blunders Project Failure: The Numbers, Why, and What It Means How to Kill Your Software Selection Project in 10 Very Easy Steps 4 Ways to Botch Your ERP Implementation Process Note: This scenario has been created for 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

comment technical data  your thoughts—please leave a comment below, and I’ll respond as soon as I can. Read More

Avoiding the Four Data Display Pitfalls in Dashboard Design


Presenting data and results is one of the fundamental stages of every business intelligence (BI) or business performance (BPM) deployment. Data is also important when adopting a new solution, and for the overall success of a BI project—even when the project stage does not represent any major technical challenge. A dashboard is the main screen by which end users, executives, managers,

comment technical data  and questions. Leave a comment below and I’ll respond as soon as I can. Read More

UNIT4 Partners with Amazon to Expand Cloud Capabilities


UNIT4, a cloud-focused business software  and services company, has announced a partnership with Amazon, one of the top global providers of cloud services. Under this agreement UNIT4 will develop the necessary consultancy services and technical support to deploy its UNIT4’s business software with the Amazon Web Services (AWS) platform. By connecting with AWS, UNIT4 will be able

comment technical data  flexible costs. Have a comment? Drop me a line below. Read More

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 quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

comment technical data  the dataset. Although these comments concerned geographic data, the attributes of lineage, accuracy, currency, logical consistency, and completeness apply equally to all forms of data, regardless of its type or source. To maintain data quality, organizations need to constantly monitor and measure these attributes as a part of an ongoing data quality program. Components of a Data Quality Program Figure 1 (courtesy of Business Objects) illustrates the main tasks of a data quality program. The first task Read More

Big Data: Operationalizing the Buzz


Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more.

comment technical data  big data, operational analytics, big data integration, big data strategy, analytical data platforms. hybrid data ecosystem Read More

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization


Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

comment technical data  Data Protection Playbook: Network Security Best Practice for Protecting Your Organization Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. CipherOptics makes data protection simple. Whether you need to secure data flows over your application environment or encrypt data in motion across the network, CipherOptics makes it easy. Our 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.

comment technical data  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives 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.

comment 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

Agile Data Masking: Critical to Data Loss Prevention and Threat Reduction


Over the past several years data loss and data leaks have been a regular part of headline news. This surge in data leak activity has prompted many organizations to reevaluate their exposure to data leaks and institute automated, agile approaches to data masking. Well-implemented data masking secures data delivery and enhances compliance and security while accelerating data management processes.

comment technical data  data masking, data security, information security, data leak, hack, data loss, DLP, data leak prevention Read More

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


Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

comment technical data  BI, business intelligence, operational intelligence, Hadoop, NoSQL, self-service BI, data virtualization, big data, on-demand data integration, lean data integration, JBoss Data Virtualization Read More

Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

comment technical data  big data, predictive analytics, real-time analytics, embedded analytics, business analytics, IBM SPSS solutions, IBM SPSS predictive analytics tools, SPSS predictive software, predictive software 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.

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Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices


This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure.

comment technical data  private cloud backup,private cloud data management,private cloud,backup software,data protection Read More