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Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.
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9/9/2009 2:32:00 PM
About Big Data
TEC analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions. There may not be a consensus with respect to just how big
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: big data, big data management, big data analytics, big data analytics appliance, big data file and database management systems, structure big data, big data summit, big data conference, google big data, gigaom big data, big data 2011, big data conference 2011, big data base, big data apache, big data companies, big data low latency, r big data, big data camp, structure big data 2011, big data marketing, big data hadoop, hadoop big data, big data sets, data big, clouds big data and smart assets, big data analysis.
11/18/2011 2:08:00 PM
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Scalable Data Quality: a Seven-step Plan for Any Size Organization. Read IT Reports In Relation To Data Quality. Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.
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: absence management, contingent labor, data collection, enterprise workforce management, HCM, hr, human capital management, human resources, kronos, kronos workforce central, labor forecasting, labor management, microsoft dynamics, nrf, payroll, persona, redprairie, redprairie ewm, retail, roles, t&a, talent management, time and attendance, UI, unicru, user experience, user interface, wfm, workforce productivity, workforce scheduling, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc..
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Got BI? Now You Need to Hire a Data Geek. Here’s What to Look For. » The TEC Blog
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06-06-2011
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, 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.
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: data quality, data quality tools, data quality software, customer data quality, data quality metrics, data quality management, data quality objectives, data quality tool, data quality act, data quality solutions, data quality assessment, data quality campaign, data quality assurance, data quality control, data quality analysis, data quality services, data quality issues, data quality standards, data quality analyst, improve data quality, crm data quality, data quality plan, data quality definition, product data quality, data quality jobs, data quality solution, data quality methodology, data .
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Implementing Energy-efficient Data Centers
Electricity costs are an increasing portion of the total cost of ownership (TCO) for data centers. But you can dramatically reduce the electrical consumption of typical data centers through appropriate design of both the network-critical physical infrastructure and IT architecture. Discover how to quantify electricity savings and learn about methods that can greatly reduce your data center electrical power consumption.
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12/4/2008 12:15:00 PM
A Guide to Intelligent Data Auditing
Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision.
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3/19/2008 6:06:00 PM
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 unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.
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6/27/2000
How to Protect Your Data from Image-based Spam
Along with positive technological changes inevitably come the negative (spam 2.0, anyone?). Today's e-mail spam is increasingly image-based and harder to detect. Fingerprinting and optical character recognition (OCR) help identify some spam, but are less and less effective. Find out how a solution that creates real-time, behavior-based rules for new spam campaigns can put spam in its proper place—outside your system.
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2/28/2008 5:09:00 PM
Engineering Supply Chain Data Exchange
Industries involved in outsourcing and collaboration know that accurate data translation is fundamental to a project’s successful completion. Valuable engineering and manufacturing product data must be exchanged quickly and efficiently while protecting corporate assets—but with older technology, this is not always possible. Learn more about a number of integration solutions that can help you reengineer your supply chain.
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