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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
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
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
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
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
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

technical data analysis  business models. At a technical level, it must be flexible enough to access data in every source system and must be available to every authorized user. It must allow free-form data entry, have support for queries, what-if analysis, and instant publishing of updated models. It must be noted that technology alone is not the solution. Without some form of financial foundation and process in place, you cannot expect to implement a financial analysis solution and meet all of your challenges overnight. 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

technical data analysis  Quality: Cost or Profit? Market Overview In the past year, TEC has published 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 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

technical data analysis  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
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
Garbage in, Garbage out: Getting Good Data out of Your BI Systems
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

technical data analysis  in, Garbage out: Getting Good Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you''ll learn about the steps in the data delivery cycle, the problems can occur at Read More
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

technical data analysis  Center Projects: Advantages of Using a Reference Design It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and 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
Transactional Data: Driving Real-Time Business
A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business

technical data analysis  Data: Driving Real-Time Business A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more. Read More
Analytics and Big Data for the Mid-Market
Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from

technical data analysis  and Big Data for the Mid-Market Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from their data is challenging. This report focused on 69 mid-market organizations, offers guidance to these smaller companies on how they might narrow the options by revealing which technology enablers are prevalent in the mid-market, investigating which features are most used by top performing companies, and Read More
Sentiment Analysis: Movie Reviews
Sentiment analysis is the method of extracting subjective information from any written content. It is being widely used in product benchmarking, market

technical data analysis  sentiment analysis,natural language processing Read More

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