Search

Improve data quality for competitive advantage

<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
  <record>
    <leader>00000nab a2200000 i 4500</leader>
    <controlfield tag="001">MAP20071023970</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20080418120940.0</controlfield>
    <controlfield tag="007">hzruuu---uuuu</controlfield>
    <controlfield tag="008">960124e19951221usa||||    | |00010|eng d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">922.13</subfield>
    </datafield>
    <datafield tag="100" ind1="1" ind2=" ">
      <subfield code="0">MAPA20080204938</subfield>
      <subfield code="a">Redman, Thomas C.</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Improve data quality for competitive advantage</subfield>
      <subfield code="c">Thomas C. Redman</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">Errors in data can cost a company millions of dollars, alienate customers, and make implementing new strategies difficult or impossible. The author describes a process AT&T uses to recognize poor data and improve their quality. He proposes a three-step method for identifying data-quality problems, treating data as an asset, and applying quality systems to the processes that create data</subfield>
    </datafield>
    <datafield tag="610" ind1="2" ind2="7">
      <subfield code="0">MAPA20080432164</subfield>
      <subfield code="a">AT&T</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080623791</subfield>
      <subfield code="a">Tecnología de la información</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080620684</subfield>
      <subfield code="a">Transmisión de información</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080543334</subfield>
      <subfield code="a">Calidad</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080586331</subfield>
      <subfield code="a">Métodos analíticos</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080571566</subfield>
      <subfield code="a">Casos prácticos</subfield>
    </datafield>
    <datafield tag="740" ind1="0" ind2=" ">
      <subfield code="a">Sloan management review</subfield>
    </datafield>
    <datafield tag="773" ind1="0" ind2=" ">
      <subfield code="w">MAP20077000185</subfield>
      <subfield code="t">Sloan management review</subfield>
      <subfield code="d">Boulder</subfield>
      <subfield code="g">Winter 1995 ; p. 99-107</subfield>
    </datafield>
  </record>
</collection>