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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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 filter 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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About TIBCO Recommendations


TIBCO has developed and released a first version of a new offering called Recommendations, designed specifically for the everyday business user who needs to explore and analyze data quickly and easily.

filter technical data  selecting the ideal chart, filter and perspective. While it may not be surprising to see TIBCO stepping in to provide tools that will help organizations to be more data-driven, it is noteworthy that TIBCO and an increasing number of organizations are devoting significant efforts toward enabling business users who may not have the time or the technical knowledge to prepare and design data visualizations. It’s a worthy approach for TIBCO to be enabling the use of its offerings within different contexts Read More

Case Study: Cadbury plc


To reduce time to market and realize the full value of its intellectual property, Cadbury plc needed to ensure compliance with government regulations. The company launched a long-term data management strategy, which included storing all data in a central repository—a product lifecycle management (PLM) system. Find out how Cadbury not only ensured compliance but also improved its response to consumer and customer queries.

filter technical data  Engineering Technical Data , Filter Technical Data , Free Technical Data , Manufacturers Technical Data , Presenting Technical Data , Product Technical Data , Provides Technical Data , Provisioning Technical Data , Stock Technical Data . About the company. Cadbury plc, formerly Cadbury Schweppes plc, is the largest confectionery company in the world, ranked number one or number two in nearly half of the confectionery markets. Cadbury creates chocolate, gum, and candy brands such as Cadbury® Easter eggs, Read More

One Year Later at Deltek: More of the Same (And Then Some More) - Part I


Time and again during my decade or so of covering the enterprise applications market as an industry analyst I have witnessed what difference a year can make. And boy, would 2008 be such a year! A year ago or so, I concluded an in-depth four-part series on Deltek (NASDAQ: PROJ), whose executives were recently happy to tell me that 2008 was not that terrible a year for the company. Quite the

filter technical data  with the giant) to filter a grid of data in any manner required, and to directly export the filtered data to Excel for further analysis. The prior pedestrian way of getting information to Excel was to go into a report within Vision and then export to Excel from the list report. Extending Deltek Vision For its part, Vision Xtend, which was introduced back in 2005 within Deltek Vision 3.0 , is an extensible technology foundation built using the Microsoft .NET framework. On top of a configurable Vision core, Read More

A Demand-driven Approach to BI


The core concept behind the Vanguard solution is that business intelligence (BI) must be demand-driven, which means that the business needs of the user dictate the technical solution, not the other way around. In other words, it should let the business users drive the process, and remove the problems of content relevance and software complexity.

filter technical data  enable business people to filter, drill-down, modify, and preview the customized Information Views, whereby the level of customization and end-user control is such that the user very rarely needs to generate live queries against the relational databases. This also significantly increases the scalability of the solution by delivering compressed data sets during off-peak hours. Through experience, Vanguard has been able to identify the three main types of live user queries (in relation to the above-depict Read More

SoftLogica


Located in Novosibirsk, Russia, SoftLogica LLC focuses on the development, marketing, and support of file and network management tools and utilities. The company combines the skills and experience of its technical professionals with its approach to the market. SoftLogica works to solve the needs of its customers by providing its testing tool products and support services.

filter technical data  Located in Novosibirsk, Russia, SoftLogica LLC focuses on the development, marketing, and support of file and network management tools and utilities. The company combines the skills and experience of its technical professionals with its approach to the market. SoftLogica works to solve the needs of its customers by providing its testing tool products and support services. 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.

filter technical data   Read More

Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

filter technical data   Read More

Considerations for Owning versus Outsourcing Data Center Physical Infrastructure


When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these key factors to help make a sound decision.

filter technical 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 physical infrastructure, data center infrastructure outsourcing Read More

Top 10 Evaluation Criteria for Copy Data Management & Data Virtualization


Data virtualization is becoming more important, as industry-leading companies learn that it delivers accelerated IT projects at a reduced cost. With such a dynamic space, one must make sure that vendors will deliver on their promises. This white paper outlines 5 qualification questions to ask before and during the proof of concept (POC), and 5 things to test during the POC.

filter technical data  data management, data virtualization, proof of concept, POC, data center, provisioning, data security, copy data management, CDM Read More

Operationalizing the Buzz: Big Data 2013


The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use to explore why and how companies are utilizing Big Data. Download the report and get all the results.

filter technical data  Enterprise Management Associates, EMA, 9sight Consulting, big data, hybrid data ecosystem, real-time data, big data buzz, big data requirements, big data challenges, big data architecture Read More

Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

filter technical data  big data,innovation,data management,data platforms,data ecosystems 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.

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Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

filter technical data  data blending, data analyst, data source, data analysis, data software, data cleansing, data access, data blending software Read More