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Documents related to » technical data analysis


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

technical data analysis  ownership (TCO) and low technical requirements for users. The table below lists some of the vendors engaged with in-memory databases providing big data analysis capabilities.   Product  Vendor Description HANA SAP HANA (High Performance Analytics Platform) is the in-memory technology database developed by SAP. It is distributed as an appliance using hardware certified by SAP. It has row and column data stores with high compression and partition features. Exalytics In-memory Machine Oracle In-memory 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 analysis  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 analysis  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...
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 analysis  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...
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

technical data analysis  Maintenance , Springfield: National Technical Information Service, US Department of Commerce) Critical failures are, by their very nature, serious. When they occur they are often designed out, or a replacement asset is installed, or some other initiative is put in place to ensure that they don''t recur. As a result, the volume of data available for analysis is often small, and therefore the ability of statistical analysis to deliver results within a high level of confidence is questionable at best. This Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

technical data analysis  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More...
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

technical data analysis  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and Read More...
ASP Traffic Analysis! What Next - ASP Odometers?
WebTrends will begin offering an Application Service Provider (ASP) solution for web traffic analysis. The offering has options both for traditional traffic

technical data analysis  quarter time of a technical person for a single website in some cases, and at least proportionately more for a business with multiple sites. Thus WebTrends, by offering the servers, the software, a rich product offering, security, load balanced servers and other amenities has an attractive offering. We think the three primary candidates are startups, young companies that host traffic analysis on production servers and are beginning to feel a performance pinch, and companies with existing web sites that 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

technical data analysis  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. 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

technical data analysis  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. Read More...
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

technical data analysis  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses an 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 analysis  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...
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

technical data analysis  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...
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

technical data analysis  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. Read More...

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