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100%: Laura Sebastian-Coleman: Measuring Data Quality for Ongoing Improvement, A Data Quality Assessment Framework (ISBN: 9780123977540) 2012, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
100%: Sebastian-Coleman, Laura: Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework (The Morgan Kaufmann Series on Business Intelligence) (ISBN: 9780123970336) Erstausgabe, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
Measuring Data Quality for Ongoing Improvement, A Data Quality Assessment Framework
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Bester Preis: € 40,16 (vom 09.06.2016)1
Measuring Data Quality for Ongoing Improvement, A Data Quality Assessment Framework (2012)
EN NW EBISBN: 9780123977540 bzw. 0123977541, in Englisch, Morgan Kaufmann, neu, E-Book.
Lieferung aus: Niederlande, Direct beschikbaar.
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The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-lan... The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You’ll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges Enables discussions between business and IT with a non-technical vocabulary for data quality measurement Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation Productinformatie:Taal: Engels;Formaat: ePub met kopieerbeveiliging (DRM) van Adobe;Bestandsgrootte: 5.49 MB;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;Printrechten: Het printen van de pagina's is niet toegestaan, tenzij anders aangegeven in het eBook;Voorleesfunctie: De voorleesfunctie is uitgeschakeld;Geschikt voor: Alle e-readers te koop bij bol.com (of compatible met Adobe DRM). Telefoons/tablets met Google Android (1.6 of hoger) voorzien van bol.com boekenbol app. PC en Mac met Adobe reader software;ISBN10: 0123977541;ISBN13: 9780123977540; Engels | Ebook | 2012.
bol.com.
The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-lan... The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You’ll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges Enables discussions between business and IT with a non-technical vocabulary for data quality measurement Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation Productinformatie:Taal: Engels;Formaat: ePub met kopieerbeveiliging (DRM) van Adobe;Bestandsgrootte: 5.49 MB;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;Printrechten: Het printen van de pagina's is niet toegestaan, tenzij anders aangegeven in het eBook;Voorleesfunctie: De voorleesfunctie is uitgeschakeld;Geschikt voor: Alle e-readers te koop bij bol.com (of compatible met Adobe DRM). Telefoons/tablets met Google Android (1.6 of hoger) voorzien van bol.com boekenbol app. PC en Mac met Adobe reader software;ISBN10: 0123977541;ISBN13: 9780123977540; Engels | Ebook | 2012.
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Measuring Data Quality for Ongoing Improvement
EN NWISBN: 9780123970336 bzw. 0123970334, in Englisch, Morgan Kaufmann, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd.
Computer Science, The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. Youll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. Youll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. Printbook.
Computer Science, The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. Youll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. Youll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. Printbook.
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Measuring Data Quality for Ongoing Improvement, A Data Quality Assessment Framework (2012)
EN PB NWISBN: 9780123970336 bzw. 0123970334, in Englisch, Elsevier Science & Technology, Taschenbuch, neu.
Lieferung aus: Niederlande, 2-3 werkdagen.
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Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Measuring Data Quality For Ongoing Improvement: A Data Quality Assessment Framework
EN NWISBN: 9780123970336 bzw. 0123970334, in Englisch, Academic Press, Vereinigte Staaten von Amerika, neu.
Lieferung aus: Indien, Versandkosten nach: USA.
Von Händler/Antiquariat, Students_Textbooks.
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Measuring Data Quality for Ongoing Improvement
EN NW EBISBN: 9780123977540 bzw. 0123977541, in Englisch, Morgan Kaufmann, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, Dalam stok, termasuk penghantaran.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework (The Morgan Kaufmann Series on Business Intelligence) (2013)
EN PB US FEISBN: 9780123970336 bzw. 0123970334, in Englisch, 376 Seiten, Morgan Kaufmann, Taschenbuch, gebraucht, Erstausgabe.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, SuperBookDeals-.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, SuperBookDeals-.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Measuring Data Quality for Ongoing Improvement a Data Quality Assessment Framework (2013)
EN PB NWISBN: 9780123970336 bzw. 0123970334, in Englisch, Morgan Kaufmann Publishers, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Verandgebiet: DOM.
Von Händler/Antiquariat, TextbookRush, OH, Grandview Hts, [RE:3].
Trade paperback.
Von Händler/Antiquariat, TextbookRush, OH, Grandview Hts, [RE:3].
Trade paperback.
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Measuring Data Quality for Ongoing Improvement
EN NW EB DLISBN: 9780123977540 bzw. 0123977541, in Englisch, Academic Press, Vereinigte Staaten von Amerika, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, zzgl. Versandkosten.
A Data Quality Assessment Framework, A Data Quality Assessment Framework.
A Data Quality Assessment Framework, A Data Quality Assessment Framework.
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