X
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 solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 data standard event resolution

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

Supply Chain Event Management RFI/RFP Template

Monitor and Resolve,Integration,Business Intelligence and Reporting,Business Applications Catalogue,Data Management,Architecture, Product Technology 

Evaluate Now

Documents related to » data standard event resolution

Study Reveals Top 10 Requirements for Improving Event Resolution in IT


A survey of existing IT event resolution processes suggests organizations are unsatisfied with current processes, despite the importance of ensuring that severe service outages do not occur. In fact, over 75 percent of participants identified significant gaps in existing processes. However, it is possible to identify the components of an effective interactive event notification platform to mitigate current process gaps.

data standard event resolution  for Event Resolution | Data Standard Event Resolution | Resolution Attribute of Event Entity | Keywords Tactical Event Resolution | Automated Event Notification | IT Event Resolution | IT Effective Event Resolution | IT Fast Event Resolution | IT Improve Event Resolution | IT Event Resolution Process | IT Probabilistic Event Resolution | IT Improving Event Resolution | IT Automating Event Resolution | IT Event Resolution Invention | IT Optimization of Event Resolution | IT System Supported Optimization | Read More

The Importance of Component Event Management in a PLM Strategy


Component event management promises an answer. Component event management is a methodology to systematically detect and resolve component events in the most timely and efficient manner possible. This paper will introduce the philosophy of component event management and introduce a new category of software that is being developed to help implement this concept and improve business performance.

data standard event resolution  Derived From GIDEP (Government-Industry Data Exchange Program) DMS Utilization Module. GIDEP is a cooperative activity between government and industry participants seeking to reduce or eliminate expenditures of resources by sharing technical information essential during research, design, development, production and operational phases of the life cycle of systems, facilities and equipment. For more information see www.gidep.org . The Fuses Have Been Lit Component Events could be compared to a bomb with a Read More

Provia Proves Its Way To Success


While not necessarily blossoming like some bigger and more visible SCE peers, Provia certainly still has its 'proven way' to differentiate its value proposition.

data standard event resolution  choose to exclude carton data from the archive process; streamlined archiving process to speed archiving Location Setup If a customer or product is changed on a forward pick location, FourSite automatically cancels outstanding replenishments Orders/Receipts A quick trailer pop-up screen was added to allow for quick entry of trailer numbers EDI (Electronic Data Interchange) Users can now send extract error report to a file, an email address or a fax number Enhanced Implementations Priding itself on quick Read More

SaaSy Discussions (Part I)


Much has been said and written lately, on TEC's web site as well as on many other peer sites, about the on-demand deployment model, especially about multi-tenant software as a service (SaaS). The opinions there have ranged from an absolute infatuation with the "technology of the 22nd century" or so (thereby rendering the traditional on-premise model completely passe) to much more reserved and

data standard event resolution  the firewall systems and/or data integration. ADP''s Human Resources (HR)/Payroll or Concur ''s Corporate Traveling and Expense (T&E) management applications would be two excellent SaaS examples, as well as simple sales force automation (SFA) products like Salesforce.com . However, it is important to note here that the realm of SFA doesn''t cover a full-fledged CRM scope, and such corporate-wide CRM processes are hard to deploy via this model except for quite a small company. For more shining examples of Read More

Meeting the Challenge: Planning for IFRS Conversion


Over 100 countries now require or permit International Financial Reporting Standards (IFRS) reporting. Companies preparing to make this challenging switch will need to focus on technical accounting issues, the differences between IFRS and generally accepted accounting principles (GAAP), and more. Learn about the issues surrounding IFRS adoption and the systems you use to manage and report financial information.

data standard event resolution  your company to contemplate data model changes in your valuation system and actuarial models. Sage Accpac resolution: You will have to make decisions regarding valuation systems and actuarial models based on you company’s specific circumstances. Sage Accpac will be able to handle whichever choices you make. Issue: Reporting IFRS will change requirements for consolidated entities, mapping structures, and financial statements. Sage Accpac resolution: Sage Accpac provides customers with multiple tools to Read More

Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

data standard event resolution  A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data. 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...

data standard event resolution  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

Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

data standard event resolution  Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and Read More

Data Quality Basics


Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue.

data standard event resolution  Quality Basics Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. 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 describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

data standard event resolution  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing Read More

The Teradata Database and the Intelligent Expansion of the Data Warehouse


In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Data Warehouse in detail, including functionality, distinguishing characteristics, and Teradata's role in the competitive data warehouse space.

data standard event resolution  Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata 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.

data standard event resolution  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

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

data standard event resolution  think Data Integration: Delivering Agile BI Systems with Data Virtualization Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

data standard event resolution  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More

Massive Data Requires Massive Measures


One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money involved in order to gain position. But is the analysis of extensive amounts of data really a key component for the corporate business world?

data standard event resolution  Data Requires Massive Measures   From Sun Tzu’s The Art of War : In the operations of war, where there are in the field a thousand swift chariots, as many heavy chariots, and a hundred thousand mail-clad soldiers, with provisions enough to carry them a thousand Li, the expenditure at home and at the front, including entertainment of guests, small items such as glue and paint, and sums spent on chariots and armor, will reach the total of a thousand ounces of silver per day. Such is the cost of Read More