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Documents related to » technical data challenges


Meeting the Challenges of Product Traceability with Automated Data Collection
An effective traceability system involves determining which product and manufacturing process attributes to collect and maintain@and deciding when during the

technical data challenges  procedures, implementation methodologies, technical expertise and experience. And our new device UI is just plain hot! If you are serious about making a commitment to automating data collection in your facility, meeting your customer’s traceability requirements, and leaning-out your enterprise, Radley can put you in business. Searches related to Meeting the Challenges of Product Traceability with Automated Data Collection : Data Collection | Data Collecting | Data Collection Analysis | Data Read More...
GXS Acquires HAHT Commerce or More Synchronized Retail B2B Data Part Four: Challenges and User Recommendations.
With the acquisition of HAHT, GXS is making a play to build out its complementary software offerings_-in particular, its product information management (PIM

technical data challenges  Therefore, GXS'' size and technical strength are not as important as its experience with the same systems users might have; another vendor, including one of the specialists in EDI-XML translation, might be a better match if it has experience with the same systems that users have or has worked with users'' major trading partners. In time, GXS will have experience with almost every relevant back-end and front-office system. But even if a company has the specific experience users need, it does not necessarily Read More...
Aiming for Agility: Challenges and User Recommendations
The preferred agile architecture will rationalize business processes without ripping out current application investments. In such cases, Agresso will have to

technical data challenges  have significantly greater financial, technical, and marketing resources—and worldwide presence—than Agresso. Part Four of the series Enterprise Systems and Post-implementation Agility—No Longer an Oxymoron? Background information on Agresso and its product Agresso Business World (ABW) 5.5 can be found in Enterprise System and Post-implementation Agility—No Longer Necessarily an Oxymoron? . How Agresso achieves this agility is covered in How One Vendor Supplies Agility to Post-implementation Enter Read More...
Challenges for IT Managers in SMBs
The recent marketing push to integrate both small and medium sized businesses by large IT hardware and software vendors makes strategic sense. Both business

technical data challenges  IT budgets and limited technical resources. Frequently SMBs target their IT acquisitions either in the hope of lowering costs or solving problems. These ad hoc solutions are often strained to capacity as companies increase in sales and in size and the marketplace places larger expectations on the organization and in turn that is reflected upon the IT departments infrastucture. In the SMB IT marketplace IT managers often times wear many hats they are usually involved in Strategic Planning, Acquisition and Read More...
About Big Data
There may not be a consensus with respect to just how big

technical data challenges  data solution provides the technical means to perform operations with high volumes of data in a short period of time, with the ability to treat various types of data from disparate sources. Why the Hype? One of the main triggers for the design of new applications and technologies is the inability of common BI deployments to manage both structured and unstructured content. The data extraction process can be especially difficult with large amounts of information. These new tools are changing the traditional Read More...
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

technical data challenges  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. Read More...
An Architect''s Evaluation of Form and Function—the Dimensional Data Model
A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect

technical data challenges  Architect''s Evaluation of Form and Function—the Dimensional Data Model A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect works with. Read More...
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

technical data challenges  Storage in the Cloud--Can You 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 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

technical data challenges  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. Read More...
Collecting Meaningful Data from the Web: Once an Impossibility, Now a Reality
The traditional way of extracting data from disparate data sources has been transformed by the emergence of new tools and applications, as well as the

technical data challenges  Community was created for non-technical users to design and automate personalized Web data monitoring and extraction applications. Its customers include McGraw-Hill , The Associated Press , and Thomson Reuters .   Figure 3. Connotate—text and sentiment analysis   Agent Community uses a virtual set of process jobs called “intelligent agents” to monitor and collect Web content. These software agents can be customized―or “trained,” in Connotate’s lingo—using a simple point-and-click method Read More...
Solving Six Common Challenges with ERP
Each day brings a new set of challenges for process manufacturers. Some of these challenges need to be addressed with personalized company policies and well

technical data challenges  ERP system, integrated ERP, inventory control, manufacturing ERP, lot tracability, material requirements planning 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

technical data challenges  Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and Read More...
TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30

technical data challenges  Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two Read More...
Garbage in, Garbage out: Getting Good Data out of Your BI Systems
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

technical data challenges  in, Garbage out: Getting Good Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you''ll learn about the steps in the data delivery cycle, the problems can occur at Read More...

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