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Product Lifecycle Management (PLM)
This comprehensive product lifecycle management (PLM) knowledge base models modern product and design-related aspects of PLM for both discrete and process industries. It details product development...
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Documents related to » about data base


About Big Data
There may not be a consensus with respect to just how big

about data base  Big Data There is no general consensus with respect to how big big data is—some companies deal with data volumes in the order of terabytes or even petabytes—but not many people will disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement between repositories can have a big impact on the organization. Big Read More
Thinking Radically about Unstructured Data: Interview with Ron Carrière, CEO of Cirilab
Being able to manage unstructured text is no longer a “nice to have,” as companies and individual users alike have to deal with increasing amounts of

about data base  is always some discussion about how to measure the ROI of an application, especially in the area of data management. What is your take? What is the real value of an application like yours? Saving time in reaching a decision is both valuable to the individual and the enterprise. A simple speed-read function summarizes 40 pages in seconds and gives ‘corporate memory’—a knowledge tag of things that are happening. What is your favorite movie? Star Trek—I think DATA had our software in his head. Do Read More
Data Quality: Cost or Profit?
Data quality has direct consequences on a company''s bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

about data base  a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) arena and how applications such as Interaction from Interface Software can help reduce the negative impact that poor data quality has on a CRM objective. Read More
The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

about data base  Truth about Data Mining A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. 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

about data base  costs. Rather, it is about the minimum costs for a given level of risk and performance (in other words, maximum value). So, in essence, the role of the policy designer can be defined as the formulating cost-effective asset management programs, routine activities, and one-off procedural and design changes, to maintain standards of performance through reducing the likelihood of critical failures to an acceptable level, or eliminating then. This is also the essence of modern RCM. The Data Dilemma 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

about data base  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. Read More
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

about data base  of data management. Learn about one solution that can help improve SAP data management. Read More
Making Big Data Actionable: How Data Visualization and Other Tools Change the Game
To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through

about data base  Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. Read More
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

about data base  Storage in the Cloud-Can you Afford Not To? Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

about data base  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More
The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business

about data base  place to guide decisions about information exchanges and reporting, including data sharing with external instances (organizations, government) and/or customers. INPUT id=Check1 type=checkbox>Fully Support INPUT id=Check1 type=checkbox>Somewhat Support INPUT id=Check1 type=checkbox>Do Not Support Established procedures in place for sharing data to ensure PII remains confidential and protected against undesired disclosure. INPUT id=Check1 type=checkbox>Fully Support INPUT id=Check1 type=checkbox>Somewhat Read More
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

about data base  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. 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

about data base  Evoke Repository, with details about structure, content, and quality. This is a significant differentiator from all the other metadata stores on the market (i.e., Computer Associates/Platinum Technology Repository or Viasoft/Rochade) because it allows the product to develop a deeper understanding of the actual data stored. This will greatly ease efforts to cleanse data and conform dimensions across disparate databases, and should provide Evoke with a significant leg up on the rest of the industry. User 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

about data base  defects, and eliminates waste. About the Authors Neil Rasmussen is the Chief Technical Officer of APC. He establishes the technology direction for the world''s largest R&D budget devoted to power, cooling, and rack infrastructure for critical networks. Neil is currently leading the 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 Read More
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

about data base  Quality: A Survival Guide for Marketing Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More

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