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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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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 big leap data center


SYSPRO-Taking a Quantum Leap or Simply Becoming Smarter?
What do Einstein’s theory of relativity and quantum theory have to do with SYSPRO? TEC principal analyst P.J. Jakovljevic explains, as he discusses how SYSPRO

big leap data center  reality is that the big players’ results have been dismal in this market space. This space is very tightly knit together (strong peer group connections and associations), and stories about deployment disasters of the big players abound. The further consolidation of the market is creating confusion for buyers, as vendors have multiple products, and product lines from large vendors are varied and not uniform. Another unfortunate by-product is that pricing competition forced by the big players is too

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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.

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 » big leap data center

Enterprise Applications--The Genesis and Future, Revisited Part One: 1960s--Pre-Computer Era


Knowing the history and evolution of enterprise applications is essential to understanding their current use and future developments. Each step in the evolution of the software is built on the fundamentals and principles developed within the previous one, which holds true for the contemporary phase of the 2000s as well.

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Open Platform Provider Answers Questions about the State of the Market


Rather than offering the customary opinions and analysis of major market trends beforehand and then giving the involved vendors a chance for a factual review and feedback, this time Technology Evaluation Centers has attempted to solicit vendors’ proactive views.

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Analyzing MAPICS' Further Steps After Frontstep Part Two: More Recent Events


MAPICS remains a customer-focused organization with the mantra of helping customers in select verticals become world-class manufacturers.

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SAP Weaves Microsoft .NET And IBM WebSphere Into Its ESA Tapestry Part Two: Market Impact


With SAP NetWeaver and the Enterprise Services Architecture, SAP will have delivered the blueprint for turning Web services from a concept into business reality of uniting hardware, information, and software platforms & applications.

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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.

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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

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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.

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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.

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Call Center Buyer’s Guide


A call center can be so much more to your enterprise than a costly necessity. By carefully selecting an on-premise contact center solution, your company can boost revenues, retain customers, and discover customer service strengths and weaknesses in the long term. But before making a purchase, do you have the information you need about your current situation? Find out what to ask before you buy.

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Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

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