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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

data analysis methods  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 to data professionals—must have the most Read More...
Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » data analysis methods


3 Big Trends in Data Visualization
The greatest value of a picture is when it forces usto notice what we never expected to see.—John W. Tukey. Exploratory Data Analysis. 1977.Data

data analysis methods  —John W. Tukey. Exploratory Data Analysis . 1977. Data visualization is core to business intelligence (BI), as it’s the means by which data is communicated to the user. Results, alerts suggestions, or even more controlled guidance—all of these elements are passed through the data visualization function of a BI application. No matter how much importance software providers give the aesthetics of visualization, all agree that a BI or business analytics application requires a visualization framework Read More...
Microsoft .NET Enablement: Analysis and Cautions
Using technologies that are intrinsically compatible should result in faster and less costly development. Thus, any application suite rewritten in the Microsoft

data analysis methods  (CTS), which defines the data types that can be used. Because all programs use the common services in the CLR, no matter which language they were written in, such applications are said to use managed code. In a Microsoft Windows environment, all other code has come to be known as unmanaged code, whereas in non-Windows and mixed environments, managed code is sometimes used more generally to refer to any interpreted programming language. Before the managed code is run, the MCIL is compiled into native Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

data analysis methods  Data Quality Improvement , Data Quality Analysis , Data Quality Articles , Data Quality Assessment , Data Quality Indicator , Data Quality Indicators , Data Quality Business Intelligence , Data Quality Initiatives , Data Quality Issues , Data Quality Management , Data Quality Measurement , Data Quality Measures , Data Quality Methodology , Data Quality Methods , Data Quality Metrics , Data Quality Model , Data Quality Objectives , Data Quality Plan , Data Quality Problems , Data Quality Process , Data Read More...
Comparative Analysis: Are You Still Confused About APS, SCM, and ERP?
Constant changes are happening in the software market, either in software delivery methods, features and functions, or software integrations with other

data analysis methods  ERP system provides required data and business rules for various business functions.   The prominent difference is that planning for demand, material, manufacturing, and logistics in an ERP application is usually done in isolation from each other so there is less visibility of constraints among business functions. This is not the case within a SCM or APS application. All planning for constraints are performed simultaneously in real-time, which helps the user understand the impact on each business Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

data analysis methods  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. 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

data analysis methods  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...
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

data analysis methods  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...
Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a

data analysis methods  says OLE for Data Mining: Is it Bull? Event Summary REDMOND, Wash., March 7 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) announced the beta release of the OLE DB for Data Mining specification, a protocol based on the SQL language, that provides software vendors and application developers with an open interface to more efficiently integrate data mining tools and capabilities into line-of-business and e-commerce applications. A dozen leading data mining and business intelligence vendors Read More...
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

data analysis methods  Afford Not To? Spiraling data storage requirements are straining many companies' abilities to keep pace. One obvious solution is storage in the cloud—but concerns regarding security, speed, and accessibility remain. Or do they? In Data Storage in the Cloud—Can You Afford Not To? , you'll discover a cloud storage solution that offers you high-security dual-level encryption (SSLv3 and 256-bit AES) data accessibility from anywhere lower costs due to the economies of scale of cloud storage providers high 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 methods  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...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

data analysis methods  the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More...
Evoke Software Releases Axio Data Integration Product
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a

data analysis methods  Software Releases Axio Data Integration Product Evoke Software Releases Axio Data Integration Product M. Reed - June 27, 2000 Event Summary Evoke Software has created a new product based on their existing Migration Architect product. It will be known as Axio and is designed to provide rapid e-business integration with existing corporate operational systems, new e-commerce applications, customer relationship management, and/or data warehousing. Axio is designed to automatically discover information in Read More...
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

data analysis methods  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More...
The Importance of a Single Product for Data Quality and Data Integration
Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business

data analysis methods  a Single Product for Data Quality and Data Integration Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data. Read More...

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