Home
 > search for

Featured Documents related to »  estimation data quality


Paradoxes of Software Estimation
Software development has spawned an independent industry in its own right. But the processes of asking for service, offering service, and pricing are all

estimation data quality  of Actual versus Estimated Estimation data in other areas comes not from the people who do the job, but from work-study engineers (industrial engineers) who specialize in work measurement. In the software industry, estimation data comes from programmers or project managers—and it is derived from actual historical data. Why don't the other industries use historical data for arriving at estimation data? Because the actual amount of time taken for a piece of work varies and depends on multiple factors: Read More

ERP for Municipalities
In this model, we assume the municipality controls water, sewers and roads. We assume also that it collects municipal or county taxes and manages many of its own assets such as vehicles and wate...
Start evaluating software now
Country:
 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » estimation data quality


Criteria for Selecting a Software Estimation Tool
A plethora of software estimation tools are available, each claimed to be better than the others, thereby confusing prospective buyers. An effective tool ought

estimation data quality  are under. The software estimation tool must facilitate picking data from a predefined list as much as possible so that estimators are not required to type the data inputs into the tool. It is also likely that projects in an organization are similar in nature, though certainly not identical. Therefore, the tool must also enable the ability to copy an existing estimate and to modify it to generate a new estimate. This saves a great deal of the estimator's time and therefore money for the organization. Read More
8 Strategies to Improve Your Project Plan
Today’s project management offices (PMOs) must optimize their project plans while managing complex projects concurrently, respecting delivery dates, and

estimation data quality  have numerous causes: Inaccurate estimation of task duration Bad use of resource competences Over-estimation of resource capacity Problems of task coordination Weak re-planning capabilities No alternative scenarios   1. Place resources at the center of your planning process   Reduce costs by optimizing the workforce   Recruiting, training, motivating and rewarding your staff are certainly key processes of your management. Qualify and quantify the optimal workforce in light of the project portfolio; Read More
How to Evaluate Web-based BI Solutions
Web-based business intelligence (BI) is no longer an anomaly: organizations are ready for BI solutions that go beyond Web portals. However, when selecting Web

estimation data quality  estimation consolidation solutions | estimation data analysis | estimation data analytics | estimation data integration | estimation data management | estimation data mining | estimation data quality | estimation data software | estimation data solutions | estimation enterprise reporting | estimation enterprise reporting software | estimation estimation solutions | estimation intelligent solutions | estimation master data management | estimation metrics solutions | estimation olap and oltp | estimation Read More
Productivity for Software Estimators
Presently, software estimation is considered to be an art rather than a science. At the heart of this perception is the lack of understanding of the concept of

estimation data quality  developers More accurate cost estimation Conclusion It is important to understand the difference between the terms productivity and capacity. Productivity is the rate of achievement for a micro-activity of human endeavor; capacity is the rate of achievement for a facility (factory, organization, etc.), and multiple activities are included in the figure denoting the capacity. For the purpose of software estimation, the focus must shift from macro-productivity (capacity) to productivity (for Read More
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

estimation data quality  Necessity of Data Warehousing The Necessity of Data Warehousing M. Reed - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such Read More
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

estimation data quality  Storage in the Cloud-Can you Afford Not To? Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

estimation data quality  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you'll learn how to save money by using less electricity—whether your data centers are still in the design Read More
Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

estimation data quality  guideline value for density estimation. This guideline is based on the average power and cooling requirement, including clearances, experienced in existing 1N and 2N data center installations. The exact value will depend on the power and cooling architecture selected, room constraints and the guidelines provided by the system supplier. For example, in the case of the APC InfraStruXure data center system, APC provides computer aided design tools which perform this calculation for each room design. Read More
The Use of Ceiling-Ducted Air Containment in Data Centers
Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center

estimation data quality  Use of Ceiling-Ducted Air Containment in Data Centers Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center. Typical approaches include ducting either individual racks or entire hot aisles and may be passive (ducting only) or active (include fans). This paper examines available ducting options and explains how such systems should be deployed and operated. Practical cooling limits are established Read More
Rover Data Systems
Rover Data Systems, Inc. was founded with the express purpose of providing an Enterprise Software Solution to address the needs of small and medium-sized

estimation data quality  Data Systems Rover Data Systems, Inc. was founded with the express purpose of providing an Enterprise Software Solution to address the needs of small and medium-sized Manufacturers and Distributors. During the time that Rover Data Systems has been in business it has accumulated a satisfied customer base, all running their business functions on Millennium III (M3) software. These companies range from the small ( Read More
The Data Explosion
RFID and wireless usage will drive up data transactions by ten fold over the next few years. It is likely that a significant readdressing of the infrastructure

estimation data quality  Data Explosion Introduction Traffic on the World Wide Web continues to grow. Traffic on your S mall S mart F ast devices continues to grow. Ok, I admit it. I bought the cell phone that takes pictures. I didn't know if it was useful; but being a technophile, I went for it. And rapidly it all came to me! I tried on a new cool jacket ... I crooned over it ... but for that much money, I wasn't sure. Should I really buy this? Enter the pic in my cell phone! We chicks have our honor guard. You know those Read More
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

estimation data quality  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More
Retrofitting Data Centers
Most data centers were never designed to be data centers. Organizations are struggling to put a

estimation data quality  Data Centers Most data centers were never designed to be data centers. Organizations are struggling to put a finger in the dam to keep up with the speed of change, but budgetary restrictions are such that there is only so much a data center team can do. Learn ways to maximize your data center budget, and find out how unexpected savings in some areas can help cover expenses in other areas. 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

estimation data quality  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 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

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others