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Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » technical data products


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

technical data products  to run into bureaucratic, technical and ethical problems. Online advertising is already far more accurately targeted than the offline sort, but there is scope for even greater personalisation. Advertisers would then be willing to pay more, which would in turn mean that consumers prepared to opt into such things could be offered a richer and broader range of free online services. And governments are belatedly coming around to the idea of putting more information—such as crime figures, maps, details of Read More...
Data Discovery Applications
Over the last five years, the business intelligence (BI) space has undergone a huge transformation. The business user community has lobbied for data analysis

technical data products  the principle of giving non-technical users the freedom to search/locate and explore information in a friendly but serious way to uncover insight. Over time, as more and more organizations saw the potential of these tools to deliver quick and versatile data analysis services, data discovery applications were able to offer new features and functions that gave them entrance into the mainstream of the BI space. Some of the main differences between traditional BI solutions and data discovery tools are as Read More...
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

technical data products  rule to greater team Technical BA assigned Data Cleansed per business rule Integrity reports written, tested and moved to production Data Owners trained in daily maintenance of report The process takes about 6 weeks for each field to move from analysis to production support. This means at any given time 1 Senior Functional BA will have 12 to 18 fields opened at a time. Duration planning - If you have 50 fields to cleanse then you are looking at a 3 to 4 month effort, but if you have 200 fields to cleanse Read More...
Benchmark Study - Embarcadero Technologies, Inc. CM/Data Competitive Analysis
Competitive testing analysis is a vital part of designing, evaluating, and marketing hardware and software products. National Technical Systems (NTS) tested two

technical data products  and software products. National Technical Systems (NTS) tested two change management systems, measuring how quickly each compares selected datasets. Find out which solution proved to be twice as fast as the other in a local area network (LAN), and almost 24 times faster in a wide area network (WAN) environment. Learn more. Read More...
About Big Data
There may not be a consensus with respect to just how big

technical data products  data solution provides the technical means to perform operations with high volumes of data in a short period of time, with the ability to treat various types of data from disparate sources. Why the Hype? One of the main triggers for the design of new applications and technologies is the inability of common BI deployments to manage both structured and unstructured content. The data extraction process can be especially difficult with large amounts of information. These new tools are changing the Read More...
Data Center Automation
With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and

technical data products  Center Automation With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands. 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

technical data products  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 relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today''s environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. 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

technical data products  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...
Data Management Wish List: IT Is Open to Big Changes
Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and

technical data products  Management Wish List: IT Is Open to Big Changes Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and consume the data. In recent years, however, information technology (IT) leaders have focused much more attention on their organizations’ data management platforms and capabilities. Download this white paper to get a better picture of the current data management landscape. Read More...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

technical data products  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. 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

technical data products  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. 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

technical data products  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...
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

technical data products  way, a variety of technical problems can be avoided. However, the spreading out strategy may not be viable for a number of reasons: Consumption of additional floor space, which may be difficult to justify or simply not possible Executive management perception that partially-filled racks are wasteful Increased cabling costs (because of longer runs) Increased cost and difficulty of maintenance '' cabling and mounting may be intertwined with other equipment in a nonstandard manner, scattered throughout the Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

technical data products  Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses Read More...
Chemical Products
Globalization, regulation, the shape of the macroeconomic landscape, and the high cost of labor and raw materials are just a few of the major challenges that

technical data products   Read More...

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