X
Start evaluating software now

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Discrete Manufacturing (ERP)
Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
 

 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

Read More


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 Get this template

Read More
Start evaluating software now

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Discrete Manufacturing (ERP)
Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...

Documents related to » data model complexity

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

data model complexity  do you foresee? Cloud-based data warehousing is emerging as a deployment model for large-scale analytics and Kognitio has always offered this—helping businesses to solve several issues that are commonplace today. Most notably, the inability to prove business value from data warehousing and analytics projects before spending large capital sums of money. By running analytics in the cloud, there is no overhead of implementing a data warehouse onsite, and there is no need for an information technology (IT) Read More

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.

data model complexity  because of all the data involved, B2B transactions and interactions are more complex than those in B2C, which tend to be very standardized and typically without a lot of custom pricing and listings of available parts. Thus, a mere window dressing of B2C platforms has not worked for complex B2B requirements like the following: Contract management—i.e., instead of a mere spot-sourcing that gives a flat retail price for every item sold in B2C model, the B2B world rotates around the direct-sourcing model, Read More

Dealing with Global Trade Management Complexity


To optimally complete the global trade cycle, a business must automate, track, and provide visibility to the entire global trade management process to optimize its supply and distribution chains.

data model complexity  want its ERP master data going directly to vendors. It is far more secure to have a system that takes only the absolute necessary data from the ERP or back-office system to share with the supplier. In the case of TradeBeam, the company has been striving to distinguish itself from peers and competitors by offering more than the mere ability to track orders and shipments, by aiming to improve all three groups of activities that make up a global trade—the order, the shipment, and the financial settlement. Read More

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.

data model complexity  Patch Management | Remote Data Back-up | Technical Assistance | Time and Material Model | Price PER Desktop | IT Infrastructure | Outsourcing | RSP | Free Managed Service Provider | Master Managed Service Provider | Whitepaper for Managed Service Providers | What Means MSP | What is Managed Service Providers | IT Automation | Network Monitoring | Remote Control | Remote Desktop | Remote Management | System Management | Remote Support | Remote Assistance | Network Policy Enforcement | Asset Management | Read More

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.

data model complexity  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 Read More

Protecting Critical Data


The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.

data model complexity  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More

10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

data model complexity  Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you're going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for commissioning team Read More

Flexible Customer Data Integration Solution Adapts to Your Business Needs


Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data. The type of CDI hub implemented depends on the CDI environment's maturity, requirements, and alignment with an organization's internal processes.

data model complexity  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization's customer-related data does not affect a company's bottom line, unless Read More

Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

data model complexity  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More

Transactional Data: Driving Real-Time Business


A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more.

data model complexity  volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more. Read More

How Companies Use Data for Competitive Advantage


Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

data model complexity  Companies Use Data for Competitive Advantage How Companies Use Data for Competitive Advantage Today, many businesses find they are under siege dealing with an explosion of data. Yet the best performing companies are mastering their data—and using it for competitive advantage. How are they able to accomplish this? What best practices, approaches, and technologies are they employing? Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage . In this Economist Business Read More

Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

data model complexity  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More

Data Storage in the Cloud--Can You Afford Not To?


In Data Storage in the Cloud Can You Afford Not To?

data model complexity  Afford Not To? Spiraling data storage requirements are straining many companies' abilities to keep pace. One obvious solution is storage in the cloud—but concerns regarding security, speed, and accessibility remain. Or do they? In Data Storage in the Cloud—Can You Afford Not To? , you'll discover a cloud storage solution that offers you high-security dual-level encryption (SSLv3 and 256-bit AES) data accessibility from anywhere lower costs due to the economies of scale of cloud storage providers high Read More

Enabling Growth through Business Model Innovation


By understanding and successfully leveraging business model innovation, your company can...

data model complexity  Growth through Business Model Innovation Enabling Growth through Business Model Innovation Success in the new economy takes more than doing things the same old way. Business model innovation creates a better vision for your company—setting you up for efficient, steady growth. By understanding—and successfully leveraging—business model innovation, your company can expand into new markets and business activities find new ways to monetize your existing capabilities work with partners to create Read More