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Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be

data analysis modeling  In-memory Analytics in Big Data Analysis In a previous article , I discussed big data and the need for a big data solution to handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI) landscape and the industry technology space. But first we need to understand the basics.   A Basic Read More...
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Documents related to » data analysis modeling


Captured by Data
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary

data analysis modeling  result, the volume of data available for analysis is often small, and therefore the ability of statistical analysis to deliver results within a high level of confidence is questionable at best. This fundamental fact of managing physical assets highlights two flaws with the case of capturing data for designing maintenance programs. First, collecting failure information for future decisions means managing the asset base in a way that runs counter to basic aims of modern maintenance management. Second, even Read More...
The Post-implementation Agility of Enterprise Systems: An Analysis
Very few companies really run standard software applications as

data analysis modeling  of disconnected applications and data sources that do not make sufficient analysis easily available. Not only can business changes not be accommodated quickly enough, but the bad consequence of this is that it might also stop the flow of information altogether, which will make the situation even worse. Finally, when decisions have been made (based on often outdated and unpredictable information), the time it takes to implement the necessary changes will take so long that the next change has already Read More...
Data Discovery Applications
Over the last five years, the business intelligence (BI) space has undergone a huge transformation. The business user community has lobbied for data analysis

data analysis modeling  community has lobbied for data analysis tools that are easier to use, agile to deploy, and less expensive, thus encouraging the emergence of new products and vendors. These conditions, along with the acquisitions and mergers of software companies looking to offer new applications for analysis and decision-making support, are breeding a new set of innovative tools: the so-called data discovery applications. What are they? Data discovery tools are specifically aimed at connecting users to a wide variety of 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

data analysis modeling  mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. It can be applied in any situation where it is necessary to discover potential knowledge from vast amounts of data. Throughout this article, the word knowledge is used to refer to meaningful patterns derived through techniques in data mining that can stimulate an organization's goals (such as company revenue, 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 analysis modeling  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...
DynaFlow Modeling & Workflow Solutions
DynaFlow Modeling and Workflow Solutions Inc., founded in 1997, focusses on the domains of enterprise modeling, workflow management, and knowledge management

data analysis modeling  Baan,business process improvement tool,business process reengineering,business processes automation,DEM,dynaflow,dynaflow com,ERP,ISO,knowledge,modeling,process,quality,SOX,workflow Read More...
Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

data analysis modeling  of Legacy Data - It Can Be Lethal Beware of Legacy Data It Can Be Lethal Featured Author - Jan Mulder - August 23, 2002 Introduction The term legacy is mostly used for applications. For example, according to the Foldoc dictionary, legacy is: A computer system or application program which continues to be used because of the cost of replacing or redesigning it and often despite its poor competitiveness and compatibility with modern equivalents. The implication is that the system is large, monolithic Read More...
Contextual Workflow Modeling
Activity-based workflow modeling (AWM) is a common and useful modeling technique, whose fundamental drawbacks limit its effectiveness in modeling complex

data analysis modeling  Environment Data Access | Data Analysis Environment | Data Center Environment | Data Center Environment Monitoring | Unique Data Environment | New Data Environment | Data Environment Approach | Existing Data Environment | Compliance Data Environment | Dataenvironment Class | Data Environment Construction | Automatic Data Environment | Using Data Environment | AWM Data Environment | AWM Data Environment Command | AWM Data Environment Designer | AWM Data Environment Instance | AWM Data Environment Tutorial Read More...
ASP Traffic Analysis! What Next - ASP Odometers?
WebTrends will begin offering an Application Service Provider (ASP) solution for web traffic analysis. The offering has options both for traditional traffic

data analysis modeling  page the JavaScript sends data back to a WebTrends server farm. Traffic analysis information that includes the page view is available within seconds. WebTrends Live offers three products. The high-end product is the eCommerce Edition, which can track information from a commerce-enabled site, including revenue by product and the differing behaviors of browsers, first-time buyers, and repeat buyers. The Enterprise Edition offers a full range of traffic analysis capabilities. The Personal Edition is offered 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

data analysis modeling  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...
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 analysis modeling  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...
Scalable Data Systems
Scalable Data Systems is one of APAC’s most experienced Microsoft Dynamics AX partners. The company manages a wide variety of implementations, from rapid fast

data analysis modeling  Data Systems Scalable Data Systems is one of APAC’s most experienced Microsoft Dynamics AX partners. The company manages a wide variety of implementations, from rapid fast-track projects to complex integration and development projects. Scalable has over 25 years of experience developing best-practice industry solutions and individual horizontal modules. Scalable provides dedicated industry solutions for manufacturing and supply chain/distribution, with verticals for food and beverage, chemicals, Read More...
MSI Data


data analysis modeling  Data Read More...
In-memory Computing: Lifting the Burden of Big Data
Business data is growing at an unprecedented speed, and organizations of all sizes, across all industries, have to face the challenge of scaling up their data

data analysis modeling  the Burden of Big Data Business data is growing at an unprecedented speed, and organizations of all sizes, across all industries, have to face the challenge of scaling up their data infrastructure to meet this new pressure. Advances in server hardware and application design have led to a potential solution: in-memory computing. Read Aberdeen's Analyst Insight report and see how in-memory computing can address two of the three Vs of big data. Read More...

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