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Software Functionality Revealed in Detail
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 develop technical data

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

ERP for the Oil and Gas Industry (Upstream)

The model of ERP systems for the upstream oil and gas sector addresses the particularly specialized business model of this industry. It is common practice for companies, individuals, and government agencies to form partnerships to explore, develop, and share production of oil wells. More often than not, this is a short-term alliance rather than a long-term partnership, and business structuring must therefore be flexible at initial set-up and throughout the lifespan of the venture. This model of ERP systems includes criteria for financials, human resources, production data capture and reporting, maintenance management, and supply chain management (SCM) functionality. 

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Documents related to » develop technical data

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

develop technical data  macroeconomic trends, which may develop into ancillary businesses in their own right. Number-crunchers have even uncovered match-fixing in Japanese sumo wrestling. Dross into gold Data exhaust —the trail of clicks that internet users leave behind from which value can be extracted—is becoming a mainstay of the internet economy. One example is Google''s search engine, which is partly guided by the number of clicks on an item to help determine its relevance to a search query. If the eighth listing for a Read More

A CRM System Needs A Data Strategy


A customer relationship management (CRM) system is inherently valuable for supporting customer acquisition and retention by gathering data from each contact with customers and prospects. Collecting data, however, cannot be isolated from a strategy for actually using that data. Here is an overview of how to evolve the focus of a data strategy to specifically suit both the acquisition and retention phases.

develop technical data  of how they can develop and implement a data strategy to guide both the acquisition and retention phases of a marketing campaign - within which a CRM system can be optimally flexed. Supporting Acquisition The first goal in the acquisition phase must be deciding which prospects most closely match the profile of an ideal prospect. Cherry pick prospects and resist chasing those that don''t meet acquisition criteria. Keeping marketing efforts sharply focused will cut costs and increase your CRM return on Read More

Minimizing the Total Cost of Technical Support for Enterprise Applications


Many organizations don’t follow formalized processes for technical support evaluation. However, technical support is a vital component of any enterprise software solution. The fact is, poor technical support can have a severe impact on a solution’s total cost of ownership.

develop technical data  help the organization to develop processes for when the solution is in trouble. There are also a number of software applications that a company can use along with the methodology to complement organizational processes in order to minimize the risk of having poor and inefficient technical support. These might include a service management application (SMA) or a business activity model (BAM). An SMA or BAM will be able to detect a technical problem when it occurs, and report it to the IT manager responsible 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.

develop technical data  policy designers begin to develop a management program, they are almost always confronted with a lack of reliable data to base their judgments on. It has been the experience of the author that most companies start reliability initiatives using an information base that is made up of approximately 30 percent hard data, and 70 percent knowledge and experience. One of the leading reasons for this is the nature of critical failures and the response they provoke. However, there are often other factors such as Read More

Planning Horizon of a Technical Personnel Management System


Airlines struggle every day to reduce costs, maintain the level of customer service, and have more efficient processes, and this puts more pressure on line maintenance supervisors and engineers. This is where a maintenance personnel management system can be useful.

develop technical data  this company must also develop part of the requirements I described in this article. Conclusions Due to the complexity of aircraft line maintenance, there is a need for a technical personnel management system that has specific features and that is different from what is already in the market. This system should have an open architecture that allows it to communicate with other systems or create interfaces that do not represent an issue for platforms and programming; it must be able to identify Read More

Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

develop technical data  is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and transformation of existing data. The product will also generate ETL (extract/transform/load) scripts based on the information in the MetaRecon repository that can then be compiled and executed in Ascential Software''s DataStage product (DataStage was formerly a product of Ardent Software, which was acquired by Informix in 1999. Ascential was formerly known as Informix Business Read More

Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

develop technical data  eliminated from testing and development environments. Learn more. Read More

Data Management and Business Performance: Part 1-Data


Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of

develop technical data  channels, and c) the development of new technologies involving structured and unstructured data. As a result, organizations have to comply with increasingly complex business requirements, which are harder to fulfill and require faster time responses. One option: divide and conquer Perhaps we should start thinking about data management more in terms of an initiative than as an isolated product or technology. The root causes of data management issues we have identified suggest that these issues will Read More

The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

develop technical data  taken many years to develop into its current form, and is still an immature technology. Improvements in hardware and software have made it possible to build warehouses that are many terabytes (one terabyte is 1,099,511,627,776 bytes) in size. The ability to access current and historical data to examine market trends and to perform business analysis has proven to provide significant return on investment. In today''s dynamic marketplace, companies will continue to use data warehousing to derive competitive Read More

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

develop technical data  effort at APC to develop high-efficiency, modular, scalable data center infrastructure solutions and is the principal architect of the APC InfraStruXure system. Prior to founding APC in 1981, Neil received his Bachelors and Masters degrees from MIT in electrical engineering where he did his thesis on the analysis of a 200MW power supply for a tokamak fusion reactor. From 1979 to 1981, he worked at MIT Lincoln Laboratories on flywheel energy storage systems and solar electric power systems. Suzanne Niles Read More

Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

develop technical data  reporting; and custom application development. Past positions Mallikarjunan has held include technical lead and applications development manager of a team of .NET, data warehousing, and BI professionals for a fashion retail company. In this role, she was responsible for the development, maintenance, and support of Windows and Web-based applications, as well as an operational data store, data marts, and BI applications. Mallikarjunan holds a BSc in computer science from the University of Madras (India), Read More

Big Data: Operationalizing the Buzz


Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more.

develop technical data  big data, operational analytics, big data integration, big data strategy, analytical data platforms. hybrid data ecosystem Read More

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

develop technical data  data science, big data, analytics, data SaaS, data scientist, India, data as a service, real-time data, data analytics Read More

Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

develop technical data  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More

Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

develop technical data   Read More