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Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

build data center  In a project to build or upgrade data center physical infrastructure, a structured and standardized process provides the essential foundation for efficient project execution and a successfully deployed system. A model for such a standardized process is described in APC White Paper #140, Data Center Projects: Standardized Process. A major element of this standardized project process is project management, which guides the project through its various phases and coordinates the work of all parties to the Read More

Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » build data center


Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

build data center  additional utility feed(s) or build a new data center. Other factors beyond the scope of this paper such as available floor space, virtualization potential, business objectives, leasing contracts, and future growth plans factor into the buy-or-build decision. From the time a need for a high-density zone is identified, IT and facilities personnel can expect to populate the racks in a given zone in one to three months, assuming the required budget is approved. However, internal company processes may extend 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...

build data center  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 members, to failing to validate the commissioning script, the common errors are laid out for you one by Read More
10 Errors to Avoid When Commissioning a Data Center
Data center commissioning requires tight coordination between vendors, facilities, IT departments, engineers, the commissioning agent, and others. Managed

build data center  data center design / build project. A proper commissioning exercise reviews and tests the data center's physical infrastructure design as a holistic system. Data centers are designed and built in order to address corporate business requirements. Commissioning validates the investment by providing a framework for successful operation of the data center. Publicly traded companies should consult with their audit departments to determine whether they are required to enlist an independent commissioning agent Read More
The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

build data center  data mining is to build several models. This is done either by applying multiple algorithms to the same dataset, or by building multiple models by tuning the same algorithm until the desired level of accuracy is achieved. Predictions against the model can be compared to known results to arrive at a measure of accuracy. It is advisable to separate data used for testing a model from data used to train a model. A cumulative gains chart is among several techniques that test the accuracy of a model. In a Read More
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

build data center  from the Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

build data center  Quality: Cost or Profit? Market Overview In the past year, TEC has published a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) arena and how applications such as Interaction from Interface Software can Read More
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

build data center  needed for mainframe maintenance. Build an In-depth and Up-front Understanding of Data Sources To create an effective strategy, companies need to dedicate substantial up-front effort to understanding sources. Simply profiling and sampling the data are not comprehensive enough to support the creation of a detailed strategy or an accurate estimate of the effort required. Instead, organizations need to devote a significant amount of time to making a full and accurate identification of source data, Read More
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

build data center  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. 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

build data center  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
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

build data center  it is imperative to build controls that constantly assess the quality of data and trigger alerts when data quality levels are threatened. With a data cleansing framework in place, an organization builds up its own profile of data quality issues and how these issues were dealt with, on each occurrence. Data monitoring can provide insight into how often duplicates were found and resolved, how many missing values were resolved each week, and what types of actions were taken for missing values that could not Read More
A Solution to Data Capture and Data Processing Challenges
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the

build data center  Solution to Data Capture and Data Processing Challenges Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems. Read More
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

build data center  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and Read More
Master Data Management: Extracting Value from Your Most Important Intangible Asset
In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe

build data center  spread across local systems Building consolidated master data Providing ID mapping for unified, companywide analytics and reporting Master data harmonization ensures that master data is synchronized across heterogeneous system landscapes. Extending the scope of master data consolidation, harmonization also encompasses the distribution of consolidated, globally relevant information, and the enrichment of client application systems with locally relevant information. Central master data management speaks to 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

build data center  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, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these Read More

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