X
Start evaluating software now

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Business Intelligence (BI)
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...
 

 data analysis methods


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


Core PLM--Product Data Management - Discrete RFI/RFP Template

Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology Get this template

Read More
Start evaluating software now

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Business Intelligence (BI)
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...

Documents related to » data analysis methods

A Quantitative Comparison of High Efficiency AC vs. DC Power Distribution for Data Centers


This paper presents a detailed quantitative efficiency comparison between the most efficient DC and AC power distribution methods, including an analysis of the effects of power distribution efficiency on the cooling power requirement and on total electrical consumption. The latest high efficiency AC and DC power distribution architectures are shown to have virtually the same efficiency, suggesting that a move to a DC-based architecture is unwarranted on the basis of efficiency.

data analysis methods  DC Power Distribution for Data Centers This paper presents a detailed quantitative efficiency comparison between the most efficient DC and AC power distribution methods, including an analysis of the effects of power distribution efficiency on the cooling power requirement and on total electrical consumption. The latest high efficiency AC and DC power distribution architectures are shown to have virtually the same efficiency, suggesting that a move to a DC-based architecture is unwarranted on the basis of Read More

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 to explore how asset data can be used to further the aims of maintenance.

data analysis methods  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

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 decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

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 applications. Organizations are looking for solutions which can fix problems and make business processes more cost-effective. What are these solutions?

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

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 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 key factors to help make a sound decision.

data analysis methods  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 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 Read More

Phoenix Data Systems


Established in 1974 and currently headquartered in Southfield, Michigan (US), Phoenix DataSystems, Inc., initially began as a custom software developer. In the 1980s, it shifted focus to a single specialty: healthcare related equipment maintenance.

data analysis methods  Data Systems Established in 1974 and currently headquartered in Southfield, Michigan (US), Phoenix DataSystems, Inc., initially began as a custom software developer. In the 1980s, it shifted focus to a single specialty: healthcare related equipment maintenance. 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 unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.

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

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 migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

data analysis methods  a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica's data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source : 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 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 and a discussion of the results.

data analysis methods  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

Types of Prefabricated Modular Data Centers


Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.

data analysis methods  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More

Effective Inventory Analysis: the 5 Key Measurements


The white paper effective inventory analysis isolates and walks you through five simple measurements that will help you ensure you are maximizing t...

data analysis methods  Inventory Analysis: the 5 Key Measurements As a distributor or manufacturer, how do you stack up when it comes to monitoring the performance of one of your largest investments: your inventory? Computer-generated reports can be more of a hindrance than a help—many systems produce so many reports, you can drown in them. Measurements that evaluate inventory performance? There are literally hundreds of them, so which ones tell you what you really need to know? The white paper Effective Inventory Read More

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

data analysis methods  and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are Read More

Uncovering Insight Hidden in Text: How Unstructured Data Analysis Is Helping IT Deliver Knowledge


With business units demanding more access to corporate data, IT is pressured to deliver. Yet current business intelligence (BI) and data warehouse systems only examine specific quantifiable data. Find out how IT professionals can gain a better understanding of how to integrate key information from text-based sources, such as forms, e-mail, blogs, and research into their data warehouse environment to enhance BI.

data analysis methods  in Text: How Unstructured Data Analysis Is Helping IT Deliver Knowledge With business units demanding more access to corporate data, IT is pressured to deliver. Yet current business intelligence (BI) and data warehouse systems only examine specific quantifiable data. Find out how IT professionals can gain a better understanding of how to integrate key information from text-based sources, such as forms, e-mail, blogs, and research into their data warehouse environment to enhance BI. Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

data analysis methods  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More