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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...
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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...
PTC's PLM Portfolio Gets More Comprehensive: Day 1 Overall Impression at PTC/USER World Conference 2010
Last year, after the TEC certification process for PTC Windchill 9.0 (download the certification report), I was convinced that this solution is quite

estimation data quality  capabilities on product cost estimation and product service data management are relatively limited. After the first day at PTC/USER World Conference 2010 , the most important message I've received is that PTC is on a strategic move to a more powerful product lifecycle management (PLM) portfolio comprised of multiple PTC brands, or in other words, product lines. When we certified Windchill last year, we also included PTC InSight Environmental Compliance in the evaluation scope. According to PTC's branding Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

estimation data quality  This disparity in cost estimation existed not only from company to company but among senior information technology managers within the same organization. – Andrea Malcolm, Poor Data Quality Costs 10% of Revenues, Survey Reveals, ComputerWorld, July 1998. The Data Warehousing Institute (TDWI) > estimates that poor quality customer data costs U.S. businesses a staggering $611 billion a year in postage, printing, and staff overhead. – Wayne W. Eckerson, Data Quality and the Bottom Line, TDWI Read More...
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

estimation data quality  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, 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

estimation data quality  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. Read More...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

estimation data quality  Center Projects: Advantages of Using a Reference Design It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and 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...
Data Mart Calculator
Need a model to help calculate an estimate of manpower needs by role, timeline, and labor cost to build a data mart based on user-supplied variables? Here’s a

estimation data quality  Mart Calculator Need a model to help calculate an estimate of manpower needs by role, timeline, and labor cost to build a data mart based on user-supplied variables? Here’s a calculator that provides two estimates. The first is based on using the traditional “develop by committee,” and the second on developing the same data mart at the developmental level. The model needs minimal input and can be changed to fit your needs. Find out more. Read More...
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

estimation data quality  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 emergen Read More...
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

estimation data quality  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. 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

estimation data quality  Meaningful Data from the Web: Once an Impossibility, Now a Reality   Once upon a time, organizations would extract data from several types of data sources, including different business software applications such as enterprise resource planning (ERP) systems, customer relationship management (CRM) applications, and others. Data sources also included such documents as plain-text docs and even spreadsheets. The traditional way to extract data from these sources involved a data integration Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

estimation data quality  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , 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...
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