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Are Your Capacity Management Processes Fit for the Cloud Era? An Intelligent Roadmap for Capacity Planning
Many organizations apply overly simplistic principles to determine requirements for compute capacity in their virtualized data centers. Read this whitepaper to

data capacity requirements  capacity in their virtualized data centers. Read this whitepaper to learn about the complexities of pursuing efficient capacity planning, how to define functional requirements for your capacity management strategy, and a capacity management strategy that assures service levels while reducing performance risk and hardware footprint. Read More

Product Lifecycle Management (PLM)
This comprehensive product lifecycle management (PLM) knowledge base models modern product and design-related aspects of PLM for both discrete and process industries. It details product development...
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Documents related to » data capacity requirements


Product Life Cycle Management (PLM) in ProcessPart 3: Process PLM Requirements
A Process PLM system must accommodate rapid, global deployment of the system. This need drives specific requirements to minimize both the start-up and the long

data capacity requirements  product. Some of the data stored in the repository is common with the needs of discrete PLM systems but much is unique to the process industry. Common data includes project information such as workflow, basic project management information, approval information, and high-level product concepts. The data unique to the process industry includes product information such as formula (ingredients only) and recipe (formula plus processing procedures), packaging specifications, processing steps, test procedures, Read More
Food and Beverage Industry: Overview of Software Requirements
The food and beverage industries have very special needs, many of which are externally regulated. Read on to discover some of the unique challenges and software

data capacity requirements  can it maintain resource data needed for scheduling such as capacities, cleaning requirements, and changeover requirements? Can the software handle the simultaneous or continuous flow of product in and out of the tanks? Can the software record and utilize the minimum and maximum batch quantities for each tank? Minimum and maximum levels for each tank? Can the software accommodate shelf life of the intermediate products stored in tanks? Maximum standing time per product in tanks? One of the worst fears Read More
Voting Technology: An Evaluation of Requirements and Solutions
The issues created by the use of punch card ballots, an obsolete technology, during the recent US Presidential election are similar to the ones that businesses

data capacity requirements  them to a central data processing facility. No matter what precautions are taken, security and control lapses are inevitable and invite many opportunities for tampering or unintentional error. Ballots or boxes could be mislaid, damaged or sent to the wrong location at any stage of the process. Although LED technology is electronic, card-feeding mechanisms are not. Keypunch cards frequently jam when they are fed into the reader, even with minimal human handling. Because punch card ballots receive much Read More
Can You Really Support Business Continuity Requirements? Intelligent N+X Redundancy, Placement Affinities, & Future Proofing in the Virtualized Data Center
Enterprises and service providers are challenged to ensure they have enough compute capacity in their virtualized data centers to support business continuity

data capacity requirements  Proofing in the Virtualized Data Center Enterprises and service providers are challenged to ensure they have enough compute capacity in their virtualized data centers to support business continuity requirements, while not overprovisioning infrastructure capacity. Learn about the challenges introduced by affinity rules and how to manage them, and how “what-if” hypotheticals can help you plan for, or avoid, future capacity scenarios. Read More
Data Center Automation
With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and

data capacity requirements  increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands. Read More
Making Big Data Actionable: How Data Visualization and Other Tools Change the Game
To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through

data capacity requirements  Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. Read More
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

data capacity requirements  the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More
Data Visualization: When Data Speaks Business
For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is

data capacity requirements  Visualization: When Data Speaks Business For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages Read More
How to Do Capacity Planning
In a perfect world, system administrators prepare in advance in order to avoid performance bottlenecks, using capacity planning tools to predict how servers

data capacity requirements  to Do Capacity Planning In a perfect world, system administrators prepare in advance in order to avoid performance bottlenecks, using capacity planning tools to predict how servers should be configured to adequately handle future workloads. The goal of capacity planning is to provide satisfactory service levels to users in a cost-effective manner. This paper describes the fundamental steps for performing capacity planning. Read More
Analytics and Big Data for the Mid-Market
Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from

data capacity requirements  and Big Data for the Mid-Market Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from their data is challenging. This report focused on 69 mid-market organizations, offers guidance to these smaller companies on how they might narrow the options by revealing which technology enablers are prevalent in the mid-market, investigating which features are most used by top performing companies, and show Read More
Diagnosing Requirements Failure: A Benchmark Report
According to an IAG survey, 70 percent of companies lack the fundamental competencies within business requirements discovery to consistently bring in projects

data capacity requirements  Report , Report Benchmark Data , Risk Benchmark Report , Systems Benchmark Report , Benchmark Report Improving , Benchmark Report Targets , Design Benchmark Report , Best Workplaces Reports , Captive Risk Benchmark Report , Report Lists Performance , Reputation Benchmark Report . Executive Summary This report presents the findings from surveys of over 100 companies and presents definitive findings on the importance and impact of business requirements on enterprise success with technology projects. The Read More
Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

data capacity requirements  Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available 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

data capacity requirements  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
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 capacity requirements  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

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