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Software Functionality Revealed in Detail
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 maintenance data systems analysis

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Maintenance, Repair, and Overhaul (MRO) RFI/RFP Template

Maintenance Management, Customer Contracts (Agreements), Customer Orders, Customer Quotations, Work Orders, Product Technology 

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Documents related to » maintenance data systems analysis

Use a Computerized Maintenance Management System to Improve Predictive Maintenance Performance


Companies that have moved from a highly reactive environment to a more planned one notice significant improvement. A computer maintenance management or enterprise asset management system is useful tool to create a planned environment, help build accurate equipment history, and develop comprehensive analysis capability.

maintenance data systems analysis  What''s the most cost-effective maintenance program required (such as reactive, PM, or PdM)? A few of the more sophisticated CMMS packages will assist in determining and documenting some or all of the answers to these questions. Examples of the type of data collected and analyzed include the following: operating context for the asset being analyzed (e.g., a water cooling system maintains water between forty to forty-five degrees Fahrenheit twenty-four hours a day, seven days a week) functions of the asset Read More

Reliability Driven Maintenance--Closing the CMMS "Value Gap"? Part Two: Reliability Driven Maintenance


Reliability driven maintenance (RDM) focuses on understanding the "asset health" to determine what maintenance work should occur and when something should be done. It enables preemptive intervention before failure occurs, whereby failure would mean that equipment is not delivering required performance regardless of whether it is actually broken down or not.

maintenance data systems analysis  from on-line sources, predictive maintenance technologies, RCM findings and visual (or other sensory) inspections collected from operator rounds or routine inspections. It analyzes the data and presents the results visually in many forms, making the data fairly easy to understand—and easy for maintenance personnel to use, such as trending graphs and flashing alarms. Ivara EXP then triggers the appropriate maintenance work in the user company''s CMMS modules, while key performance indicators (KPI) provide Read More

Computerized Maintenance Management Systems: A Tutorial Part Two: Benefits and Interfaces


A CMMS is an excellent business opportunity whose implementation can significantly improve operations, reduce equipment downtime, increase accountability of the maintenance functions, and produce substantial financial savings. Read on to learn how this can be accomplished.

maintenance data systems analysis  scheduled or unscheduled preventive maintenance or repair. Assuming the CMMS database is accurate and current, the CMMS generated work order should reduce the amount of data entry needed to capture information. Using the theory of negative confirmation, similar in principle to a picklist confirmation, only the exceptions to the work order need be entered. This would include additional parts consumed but not scheduled; parts scheduled but not consumed; and hours worked in addition to or less than estimated 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 data recording processes in a maintenance system, as seen in its use in the aircraft maintenance process.

maintenance data systems analysis  be performed using the maintenance system or through other data analysis systems. However, this is just the beginning of the process. Data interpretation helps understand what is happening in the maintenance process and will contribute to activities planning. Individuals, or the humanware, in charge of the analysis must have experience in and full knowledge of the airline''s maintenance process. They can then propose viable solutions according to each airline and its specific situation. A combined effort Read More

Computerized Maintenance Management Systems: A Tutorial Part One: Challenges and Features


Companies are looking for more areas to squeeze savings out of operations. One such area that may be fertile ground to explore is equipment maintenance. The class of software that can help to cultivate these savings is computerized maintenance management systems (CMMS). This article discusses the basics of CMMS and its key features, enabling you to determine whether your company should investigate this software as a potential source of savings.

maintenance data systems analysis  is to ensure that maintenance activities can be performed as scheduled. So far you have read that an effective CMMS should track unscheduled maintenance, preventive maintenance, equipment state information, resources, and materials. Through this automated data collection mechanism, we are creating a equipment history database that will form the basis for performance analysis. A CMMS should provide the tools to perform this analysis and be able to answer the question, How has our maintenance organization Read More

DAZ Systems, Inc.


DAZ Systems, Inc. specializes in delivering Oracle enterprise software solutions that help companies improve business performance today, while preparing them for the challenges of tomorrow. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. 

maintenance data systems analysis   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 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.

maintenance data systems analysis  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

Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

maintenance data systems analysis  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More

Acumen Data Systems


Acumen Data Systems provides employee time and attendance systems and software. Its software’s focuses include job tracking, shop floor data collection, and employee scheduling.

maintenance data systems analysis  Data Systems Acumen Data Systems provides employee time and attendance systems and software. Its software’s focuses include job tracking, shop floor data collection, and employee scheduling. Read More

Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

maintenance data systems analysis  Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility. Read More

Civic Systems


Civic Systems provides technology solutions that make your job easier, but we’re so much more than just a software company.

maintenance data systems analysis   Read More

Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

maintenance data systems analysis  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More

M&O Systems


M&O’s longevity and unmatched reputation is rooted in meeting complex challenges our customers have faced over the past few decades. We know how to harness the power of the ever changing and complex world of technology to enhance your stakeholders’, corporate and field, productivity, while at the same time reducing costs. 

maintenance data systems analysis   Read More

Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

maintenance data systems analysis  Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. 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% 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 two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

maintenance data systems analysis  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