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cezarovidiu

Gartner Positions Oracle in Leaders Quadrant for Master Data Management of Product Data... - 0 views

www.oracle.com/...1897161

oracle leaders master data management gartner

shared by cezarovidiu on 17 Jan 13 - No Cached
  • For the fourth consecutive year, Gartner, Inc. has named Oracle as a Leader in its “Magic Quadrant for Master Data Management of Product Data Solutions.” (1)
  • “MDM is a technology-enabled discipline in which business and IT staff work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official, shared master data assets. Master data is the consistent and uniform set of identifiers and extended attributes that describes the core entities of the enterprise, such as customers, prospects, citizens, suppliers, sites, hierarchies and chart of accounts,” according to Gartner.
  • By enabling organizations to consolidate product information from heterogeneous systems, Oracle Product Hub creates a single view of product information that can be leveraged and shared across functional departments in the enterprise, as well as externally with trading partners.
  • ...1 more annotation...
  • "In any product company, accurate product information is a foundation for all major business initiatives, and this requires a robust, comprehensive and flexible product MDM solution,” said Jon Chorley, vice president, supply chain management product strategy, Oracle. "We believe Oracle's position in Gartner's Magic Quadrant for Master Data Management of Product Data Solutions highlights our ability to provide best-in-class functionality across the industry’s most complete MDM portfolio. By using Oracle MDM solutions, companies can obtain a high-quality, common enterprise product record and are better able to support their key business initiatives.”
  • cezarovidiu on 17 Jan 13
     
    "Gartner Positions Oracle in Leaders Quadrant for Master Data Management of Product Data Solutions"
cezarovidiu

Data Quality, Data Governance, and Master Data Management (MDM) - 0 views

www.oracle.com/...index.html

data quality governance mdm

shared by cezarovidiu on 29 Jan 13 - No Cached
  • Modern business applications produce ever more relevant and actionable information for decision makers, but in many cases the data sources are fragmented and inconsistent. Despite tremendous advancements at the application layer, nearly all IT initiatives succeed or fail based on the quality and consistency of the underlying data.
  • CIOs are responsible for making information available to their businesses in a consistent and timely basis, but in most organizations, information management is seen as a delegated set of tasks and is not the CIO’s top priority.
  • “Key initiatives such as master data management, data virtualization, data quality, data integration and data governance are employed by just a fraction of organizations that should be mastering the science of information management,”
  • ...1 more annotation...
  • While CIOs are aware that effective information management results in faster decision-making, according to the Ventana study, only 43% of organizations have undertaken information management initiatives in data governance, data integration, data quality, master data management and data virtualization during the last two years, and less than one fifth have completed those projects. The largest obstacles to completing information management projects are insufficient staffing (68%), inadequate budget (63%) and insufficient training and skills (59%).
  • cezarovidiu on 29 Jan 13
     
    "Modern business applications produce ever more relevant and actionable information for decision makers, but in many cases the data sources are fragmented and inconsistent. Despite tremendous advancements at the application layer, nearly all IT initiatives succeed or fail based on the quality and consistency of the underlying data."
cezarovidiu

OpenRefine - 0 views

openrefine.org

openrefine mdm google datamining data cleaning cleaning tool googlerefine refine data opendata

shared by cezarovidiu on 11 Oct 13 - No Cached
  • Introduction to OpenRefine 1. Explore Data OpenRefine can help you explore large data sets with ease. You can find out more about this functionality by watching the video below and going through these articles
  • 2. Clean and Transform Data
  • 3. Reconcile / Match
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