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Parts by Number for Data Quality Top

Part # Distributor Manufacturer Product Category Description
E0C8TLL ASAP Semiconductor IBM Not Provided INFOSPHERE INFORMATION SERVER LICS DATA QUALITY PACK NETEZZA 100
DM-III MULTITEST F Digi-Key Amprobe Test and Measurement PWR QUALITY ANALZR/DATA LOGGER
B5059ML ASAP Semiconductor IBM Not Provided MLANG INFOSPHERE INFORMATION LICS SVR DATA QUALITY V8.7 MPLAT
BY02NEN ASAP Semiconductor IBM Not Provided INFORMATION SVR DATA QUALITY VLIC MODULE SAP SUN SOLARIS/SPARC V

Conduct Research Top

  • Data Quality
    Data Quality. Providing an expos of research and practice in the data quality field for technically oriented readers, this book forms a theoretical foundation that is both rigorous and relevant for dealing with advanced issues related to data quality. Books24x7
  • Data Quality: The Field Guide
    Data Quality: The Field Guide. This guide provides the practical guidance needed to start and advance a data quality program. Books24x7 EngineeringPro TM from Books24x7® Having access to accurate information on demand is critical for your engineering projects
  • Data Quality: The Accuracy Dimension
    Data Quality: The Accuracy Dimension. An informative resource for any data management staff, IT management staff, and CIOs of companies with data assets. Books24x7 EngineeringPro TM from Books24x7® Having access to accurate information on demand is critical
  • Fundamentals of Spatial Data Quality
    Fundamentals of Spatial Data Quality. Providing perspectives on how to evaluate the quality of vector or raster data for both the data producer and the data user, this text covers key concepts such as quality of vector or raster data, enhancing quality, evaluating and documenting, and more
  • Transparency It is About the Data - the Quality of the Data
    quality. Today, more than ever before, our access to data, the ability of our computer applications to use it and the ultimate accuracy of the data determines how we see and interact with the world we live and work in. ANSI: Transparency - ECCMA Whitepaper. International Standards and Accreditation
  • Technical Series on Data Acquisition - Data Quality
    of the measurement environment and its sensors, and ends with some information about the process that is being measured. Each step of this process is critical, for once information is lost, it can never be recovered. The subject of data quality embraces a number of concerns. The ultimate goal
  • Alternative Method for Supervisory Control and Data Acquisition (.pdf)
    the acquired data for quality control or for operational. reports to external regulatory agencies. Remote continuous monitoring systems are a new technology that can virtually act as a. control system to monitor and transfer data, but do not require multiple PLC’s,. complicated wiring solutions
  • "5 steps to ERP Master Data Rationalization"
    . Before undertaking any of these efforts and similar business initiatives,. organizations must ensure that they have instituted the policies, procedures, and tools to. ensure master data quality. Master data rationalization is the first step that organizations should undertake in their. drive for master