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Software Functionality Revealed in Detail
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 data model complexity


Siemens’ Active Workspace Handles PLM Data Complexity
Today, many companies have massive amounts of information generated from their product lifecycle processes currently lying dormant, often spread across many

data model complexity  uses Siemens PLM’s Teamcenter data model and customer’s existing style sheets to adapt to industry and customer preferences. Figure 3 shows Active Workspace’s Web-based filtering and intelligent charts, making it easy for users to find what they need without having to know/understand the underlying PLM data model. Figure 3 – Search with Intelligent Charts and Filters In addition to an HP Autonomy plus Solr -based search engine, Active Workspace has a 3D-shape geometry Geolus search engine that

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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

ERP for the Oil and Gas Industry (Upstream)

The model of ERP systems for the upstream oil and gas sector addresses the particularly specialized business model of this industry. It is common practice for companies, individuals, and government agencies to form partnerships to explore, develop, and share production of oil wells. More often than not, this is a short-term alliance rather than a long-term partnership, and business structuring must therefore be flexible at initial set-up and throughout the lifespan of the venture. This model of ERP systems includes criteria for financials, human resources, production data capture and reporting, maintenance management, and supply chain management (SCM) functionality. 

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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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Differences in Complexity between B2C and B2B E-commerce


Business-to-business (B2B) selling has proven to be more intricate than business-to-consumer (B2C) selling, as B2B involves dealing with longer-term contracts and complex products with specific requirements that are not needed in the consumer world.

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The N-able MSP Maturity Model


A business' success delivering managed services depends on its ability to improve the delivery of effective and efficient services to its customer base. Learn about ways that managed services providers (MSPs) can develop a higher-value business by improving their ability to attract and retain high-quality customers and provide IT services in an effective manner.

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Is the SaaS Model Right for You?


For IT departments drowning in complex and expensive software maintenance chores, the software-as-a-service (SaaS) model can ease the burden. SaaS reduces complexity by outsourcing most of the infrastructure needed to run software applications, and reduces costs by charging only for what is consumed. But you can also adopt a hybrid SaaS model, in which some systems are outsourced and others are kept in-house. Learn more.

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The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

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Agile Data Masking: Mitigate the Threat of Data Loss Prevention


You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise's data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks.

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Customer Data Integration: A Primer


Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

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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.

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Model N


Model N’s revenue management solution solves critical business challenges for enterprise life sciences and high-tech companies by linking and automating the complexities of pricing processes, contract creation, rebate management, and regulatory compliance into a system of integrated applications that manage the end-to-end revenue life cycle. Revenue management aligns complex revenue processes for all departments involved—marketing, sales, and finance. Revenue management systems provide a comprehensive infrastructure for placing controls within revenue processes and an automatic audit trail of all actions. These attributes dramatically improve the ability of a company’s financial risk management capabilities and regulatory exposure.

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Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security


Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace.

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