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Documents related to » analysis data


Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

analysis data  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More...
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

analysis data  the data query and analysis process as well as ease data modeling by applying innovative ways for organizing and storing data. The table below lists some software products that use in-memory technologies for OLAP services.   Product Vendor PowerPivot Microsoft Cognos TM1 IBM Jedox OLAP Accelerator (GPU) Jedox WebFOCUS Visual Discovery Information Builders BIRT Data Objects and BIRT Data Analyzer Actuate Tableau Tableau Software Many products already incorporate in-memory technologies to provide fast data Read More...
TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30

analysis data  Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the Read More...
Business Analytics: Benchmarking the Analysis of Data to Gain Insight
Organizations are maturing only slowly in their use of analytics despite the fact that they view them as valuable and important. This research indicates that

analysis data  Analytics: Benchmarking the Analysis of Data to Gain Insight Organizations are maturing only slowly in their use of analytics despite the fact that they view them as valuable and important. This research indicates that usability and flexible functionality are important criteria in their search for the right analytics; that failing to examine timely availability, broad access, and efficient handling can obstruct analytics use; and that in technology terms, spreadsheets should be replaced with more Read More...
How Bar Codes Can Optimize Data Recording and Information Analysis
Bar code technology allows users to analyze information to develop more accurate maintenance, personnel, and financial planning. In particular it can hasten the

analysis data  users to perform an analysis of the data records that will contribute to more accurate maintenance, personnel, and financial planning (maintenance budgets). About the author Juan Francisco Segura is an industrial engineer specializing in processes and automation. He has worked for the Universidad Iberoamericana, in Mexico City, as a computer technology consultant in the area of physics, arranging electronic and computing equipment for their labs. During the last six years, he has worked as a computer prof Read More...
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

analysis data  online analytical processing (OLAP) analysis tools, data mining, forecasting, etc. Managers and decision makers realized that a data warehouse—and its technology—had the ability to provide a complete view of the status of an organization. But as operational systems evolved, businesses merged, and globalization augmented, the number of business transactions increased substantially. Soon it became clear that having only historical information available wouldn''t be enough to give companies all the 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...

analysis data  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...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

analysis data  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More...
Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging

analysis data  Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data 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

analysis data  Management , Product Data Analysis Framework , Archiving Product Data , Engineering Data Product , Data Sheets Select Product , Product Data Management Category , Product Data Guide , Product Data Catalogue , Incorrect Product Data , Product Data Synchronization . CONTENTS Data Quality: What’s The Problem? The Cost of Poor Data Quality What Is Data Quality? Measuring Data Quality Components of a Data Quality Program A Business Process Perspective to Data Quality Types of Data Involved in Managing Data Read More...
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

analysis data  his thesis on the analysis of a 200MW power supply for a tokamak fusion reactor. From 1979 to 1981, he worked at MIT Lincoln Laboratories on flywheel energy storage systems and solar electric power systems. Suzanne Niles is a Senior Research Analyst with the APC Data Center Science Center, where she develops white papers and presentations on technical and strategic topics that support the APC mission. She studied mathematics at Wellesley College before receiving her Bachelor''s degree in computer science 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

analysis 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 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...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

analysis data  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More...

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