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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

Thinking Radically about Unstructured Data: Interview with Ron Carrière, CEO of Cirilab


Being able to manage unstructured text is no longer a “nice to have,” as companies and individual users alike have to deal with increasing amounts of unstructured text, work with it, and gain knowledge by interpreting it. Cirilab is a company that provides software products to search, retrieve, and categorize information from unstructured text sources. Read this interesting interview with Ron

comment technical data  welcome your thoughts—leave a comment below, and I’ll respond as soon as I can. Ron Carrière, CEO, Cirilab Mr. Carrière''s career has included responsibilities as a professional engineer in senior positions at technical and management levels in public and private organizations. He has extensive hands-on experience in hi-tech start-up companies. He was founding CEO of ACDS Graphic Systems Inc. from 1983 to 1988, where he led a multimillion dollar Initial Public Offering (IPO) and stewarded ACDS 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

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

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.

comment technical data  Big Data,Big Data architecture,Big Data challenges,Big Data system,Big Data technology 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.

comment technical data   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

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

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.

comment technical data  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More

Data Quality: Cost or Profit?


Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

comment technical data  business intelligence architecture,business intelligence data warehouse,change data capture,customer data,customer data integration,data cleaning,data cleaning software,data cleansing,data cleansing data,data cleansing definition,data cleansing service,data cleansing services,data cleansing software,data cleansing solution,data cleansing solutions Read More

Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

comment technical data  IBM,data recovery,software data recovery,data recovery tools,data recovery tool,deleted data recovery,harddrive data recovery,hdd data recovery,ntfs data recovery,disk data recovery,data protection act,data protection,data recovery hard disk,lost data recovery,freeware data recovery Read More

The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

comment technical data  Operational Data Lake: Your On Ramp to Big Data Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance Read More