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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.
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 analysis services design data


Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be

analysis services design data  Analytics in Big Data Analysis In a previous article , I discussed big data and the need for a big data solution to handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI) landscape and the industry technology space. But first we need to understand the basics.   A Basic Framework

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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

Core PLM for Discrete Industries

The foundation of product lifecycle management (PLM) for the discrete manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM including management of material specifications, product structures, production processes, design tools, document management, and design collaboration. 

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Documents related to » analysis services design data

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.

analysis services design data  data capture and later analysis as its base can be used effectively. Over time the level of information will accumulate to allow asset owners, and policy designers, to determine the correct maintenance policy with a high degree of confidence. Figure 1. Acceptable and unacceptable failures However, critical failures, those that cause an asset to underperform, have unacceptable consequences and cannot always be managed in a similar way. For example, if a failure has high operational impact or economic Read More

Financial Analysis Clears the “Profit Haze”


Designed to be agile and dependable, financial analysis solutions can bring clarity to the reasons behind your company’s growth, and help steer you toward future growth. Learn how financial analysis solutions enhance the value of your existing business support systems, and distill enterprise-wide information to answer the question: How can we increase revenue, maximize profits, and increase our competitive advantage?

analysis services design data  Analysis Clears the “Profit Haze” TEC's solutions, which include research comparison reports selection tools consulting services are driven by its powerful analysis engine, eBestMatch TM . TEC provides decision support systems (DSS) that enable stakeholders to objectively identify the software products that best fit their company's unique business and systems requirements, and that contribute most effectively to superior business performance. Source: Technology Evaluation Centers Resources Read More

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.

analysis services design data  Wal- Mart. Sophisticated quantitative analysis is being applied to many aspects of life, not just missile trajectories or financial hedging strategies, as in the past. For example, Farecast, a part of Microsoft's search engine Bing, can advise customers whether to buy an airline ticket now or wait for the price to come down by examining 225 billion flight and price records. The same idea is being extended to hotel rooms, cars and similar items. Personal-finance websites and banks are aggregating their 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.

analysis services design data  Data Recording and Information Analysis Introduction Traditionally, bar code technology is used in product distribution, courier services, and point of sales (POS). However, it can also be particularly useful in maintenance processes, though its application in some industries, such as aerospace is not as well known, especially in Mexico and Latin America. In order to better understand the application of bar code technology in maintenance processes, we must first understand that it is a form of automatic 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.

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Professional Services Automation: A New Approach to Business and Knowledge Management for Professional Services Firms


Professional services firms are not like other businesses. They have unique ways of working, unique challenges, and unique opportunities. While progressive project-based businesses have already embraced professional services automation (PSA)—achieving results and return on investment along the way—there are still many firms that have yet to fully automate their key business processes or integrate their knowledge base.

analysis services design data  Services Automation: A New Approach to Business and Knowledge Management for Professional Services Firms Professional services firms are not like other businesses. They have unique ways of working, unique challenges, and unique opportunities. While progressive project-based businesses have already embraced professional services automation (PSA)—achieving results and return on investment along the way—there are still many firms that have yet to fully automate their key business processes or Read More

Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security


Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace.

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Top CRM for Financial Services


To make your search easier, you can quickly and easily compare CRM software for financial services using TEC's patented software decision support s...

analysis services design data  CRM for Financial Services Top CRM for Financial Services How do you handle the relentless pressure to produce results amid rabid competition and increased regulatory requirements? These are challenging times for financial services companies . One response within the financial services industry has been to beef up customer relationship management (CRM) processes. If your company is considering new CRM technology, finding the right system or upgrade can be a difficult task. To make your search easier, 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.

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Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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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.

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Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

analysis services design data  alerts to notify if analysis results exceed a specific quality metric Graphical and dashboard reports (using Crystal Reports®) that provide summary profiles, frequency distributions, and referential integrity information An open metadata repository that allows the tool to be used by custom-built applications Scheduling of profiling tasks to run any time without operator intervention The knowledge gained from Data Insight XI concerning existing data quality issues can be used to develop a detailed Read More

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 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 accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

analysis services design 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 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 Read More