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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...
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 Read More...
Actionable Spend Analysis: From Data to Savings
Having realized the savings that can be generated by managing corporate spending, many organizations are now aiming to employ and leverage spend analysis to

analysis data  employ and leverage spend analysis to implement sourcing and procurement strategies. Is quality data the cornerstone of successful spend analysis? Most of us would say yes, without hesitation. However, if you dig deeper, you might be in for a surprise. 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...
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 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

analysis data  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...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

analysis data  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

analysis data  and participating in data analysis Technology—executing the program with efficiency and compliance  Information—in the form a data governance council established by an organization to define and execute the right policies for monitoring, managing, and measuring data quality and compliance, as well as to provide guidelines, standards, and documentation for data use But even established data governance programs will have to address fresh issues. New technology platforms, such as cloud computing, as Read More...
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

analysis data  Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any 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...
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

analysis data  Data Profiling , Data Analysis , Data Processing , Financials Research Data Cleaning , Master Data Management , Data Integration , Data Sets , Data Integrity , Data Cleansing Projects , After presenting a case study “Supply Chain Data- Dont let it be your weakest link!''” with Alcon Laboratories at the TCU Global Supply Chain conference in April 2005 there were a flurry of questions from the attendees. While the presentation was mainly focused on the value of quality data in the supply chain and in Read More...
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

analysis data  Quality: A Survival Guide for Marketing Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More...
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

analysis data  http://www.midrangecomputing.com/ . Project Risk Analysis Most business software system changes falter--if not fail--because of only a few root causes, among which poor data quality is high on the list. In this case, not only was data quality seen to be a troublesome issue for implementation of a new system, it was apparent that it was at the root of the material management problems that had been plaguing the company for more than a year. There were several telltale operational symptoms: 150 purchase Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

analysis data  four broad fields: Multi-dimensional Analysis Tools: Tools that allow the user to look at the data from a number of different angles . These tools often use a multi-dimensional database referred to as a cube . Query tools: Tools that allow the user to issue SQL (Structured Query Language) queries against the warehouse and get a result set back. Data Mining Tools: Tools that automatically search for patterns in data. These tools are usually driven by complex statistical formulas. The easiest way to Read More...

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