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Big Data for Big Decisions : Building a Data-driven Organization
Language: English
Published by Auerbach Publications, 2022
ISBN 10: 1032017244 ISBN 13: 9781032017242
Condition: As New. Unread book in perfect condition.
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Big Data for Big Decisions : Building a Data-driven Organization
Language: English
Published by Auerbach Publications, 2022
ISBN 10: 1032017244 ISBN 13: 9781032017242
Condition: New.
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Big Data for Big Decisions
Language: English
Published by H N H International Limited, 2022
ISBN 10: 1032017244 ISBN 13: 9781032017242
Condition: New. pp. 256.
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Big Data for Big Decisions: Building a Data-Driven Organization
Language: English
Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032017244 ISBN 13: 9781032017242
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 74.83
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Big Data for Big Decisions
Language: English
Published by H N H International Limited, 2022
ISBN 10: 1032017244 ISBN 13: 9781032017242
Condition: New. pp. 256.
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Big Data for Big Decisions : Building a Data-driven Organization
Language: English
Published by Auerbach Publications, 2022
ISBN 10: 1032017244 ISBN 13: 9781032017242
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Big Data for Big Decisions : Building a Data-driven Organization
Language: English
Published by Auerbach Publications, 2022
ISBN 10: 1032017244 ISBN 13: 9781032017242
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Big Data for Big Decisions
Language: English
Published by H N H International Limited, 2022
ISBN 10: 1032017244 ISBN 13: 9781032017242
Condition: New. pp. 256.
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US$ 98.49
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Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 224 pages. 9.19x6.13x0.60 inches. In Stock.
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Big Data for Big Decisions | Building a Data-Driven Organization
Language: English
Published by Auerbach Publications, 2022
ISBN 10: 1032017244 ISBN 13: 9781032017242
Taschenbuch. Condition: Neu. Big Data for Big Decisions | Building a Data-Driven Organization | Krishna Pera | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Auerbach Publications | EAN 9781032017242 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Big Data for Big Decisions : Building a Data-driven Organization
Language: English
Published by Auerbach Publications, 2023
ISBN 10: 1032342811 ISBN 13: 9781032342818
Condition: As New. Unread book in perfect condition.
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Big Data for Big Decisions : Building a Data-driven Organization
Language: English
Published by Auerbach Publications, 2023
ISBN 10: 1032342811 ISBN 13: 9781032342818
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Big Data for Big Decisions : Building a Data-driven Organization
Language: English
Published by Auerbach Publications, 2023
ISBN 10: 1032342811 ISBN 13: 9781032342818
Condition: New.
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Big Data for Big Decisions
Language: English
Published by Auerbach Publications, 2023
ISBN 10: 1032342811 ISBN 13: 9781032342818
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Big Data for Big Decisions
Language: English
Published by Auerbach Publications, 2023
ISBN 10: 1032342811 ISBN 13: 9781032342818
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Big Data for Big Decisions : Building a Data-driven Organization
Language: English
Published by Auerbach Publications, 2023
ISBN 10: 1032342811 ISBN 13: 9781032342818
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Big Data for Big Decisions: Building a Data-Driven Organization
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032342811 ISBN 13: 9781032342818
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketCondition: New. Krishna PeraBuilding a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and .
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Big Data for Big Decisions
Language: English
Published by Auerbach Publications, 2023
ISBN 10: 1032342811 ISBN 13: 9781032342818
Condition: New.
-
Big Data for Big Decisions : Building a Data-Driven Organization
Language: English
Published by Taylor & Francis Ltd Dez 2022, 2022
ISBN 10: 1032342811 ISBN 13: 9781032342818
Buch. Condition: Neu. Neuware - While every enterprise aspires to becomes100% data-driven, the Gartner Group estimates over 80% of all analytics projects fail to deliver intended value. This is a practitioners' guide for creating a transformational roadmap, prioritize Big Data for big decisions, and deliver value from analytics.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Big Data for Big Decisions
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Big Data for Big Decisions
Language: English
Published by Auerbach Publications Dez 2022, 2022
ISBN 10: 1032017244 ISBN 13: 9781032017242
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and business case to be prepared and evaluated prior to approval. This book presents a step-by-step methodology in order to create a roadmap and business case, and provides a narration of the constraints and experiences of managers who have attempted the setting up of DDOs. The emphasis is on the big decisions - the key decisions that influence 90% of business outcomes - starting from decision first and reengineering the data to the decisions process-chain and data governance, so as to ensure the right data are available at the right time, every time.Investing in artificial intelligence and data-driven decision making are now being considered a survival necessity for organizations to stay competitive. While every enterprise aspires to become 100% data-driven and every Chief Information Officer (CIO) has a budget, Gartner estimates over 80% of all analytics projects fail to deliver intended value.Most CIOs think a data-driven organization is a distant dream, especially while they are still struggling to explain the value from analytics. They know a few isolated successes, or a one-time leveraging of big data for decision making does not make an organization data-driven. As of now, there is no precise definition for data-driven organization or what qualifies an organization to call itself data-driven. Given the hype in the market for big data, analytics and AI, every CIO has a budget for analytics, but very little clarity on where to begin or how to choose and prioritize the analytics projects. Most end up investing in a visualization platform like Tableau or QlikView, which in essence is an improved version of their BI dashboard that the organization had invested into not too long ago. The most important stakeholders, the decision-makers, are rarely kept in the loop while choosing analytics projects.This book provides a fail-safe methodology for assured success in deriving intended value from investments into analytics. It is a practitioners' handbook for creating a step-by-step transformational roadmap prioritizing the big data for the big decisions, the 10% of decisions that influence 90% of business outcomes, and delivering material improvements in the quality of decisions, as well as measurable value from analytics investments.The acid test for a data-driven organization is when all the big decisions, especially top-level strategic decisions, are taken based on data and not on the collective gut feeling of the decision makers in the organization. 268 pp. Englisch.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Krishna PeraBuilding a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and .
-
Big Data for Big Decisions : Building a Data-Driven Organization
Language: English
Published by Auerbach Publications, 2022
ISBN 10: 1032017244 ISBN 13: 9781032017242
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and business case to be prepared and evaluated prior to approval. This book presents a step-by-step methodology in order to create a roadmap and business case, and provides a narration of the constraints and experiences of managers who have attempted the setting up of DDOs. The emphasis is on the big decisions - the key decisions that influence 90% of business outcomes - starting from decision first and reengineering the data to the decisions process-chain and data governance, so as to ensure the right data are available at the right time, every time.Investing in artificial intelligence and data-driven decision making are now being considered a survival necessity for organizations to stay competitive. While every enterprise aspires to become 100% data-driven and every Chief Information Officer (CIO) has a budget, Gartner estimates over 80% of all analytics projects fail to deliver intended value.Most CIOs think a data-driven organization is a distant dream, especially while they are still struggling to explain the value from analytics. They know a few isolated successes, or a one-time leveraging of big data for decision making does not make an organization data-driven. As of now, there is no precise definition for data-driven organization or what qualifies an organization to call itself data-driven. Given the hype in the market for big data, analytics and AI, every CIO has a budget for analytics, but very little clarity on where to begin or how to choose and prioritize the analytics projects. Most end up investing in a visualization platform like Tableau or QlikView, which in essence is an improved version of their BI dashboard that the organization had invested into not too long ago. The most important stakeholders, the decision-makers, are rarely kept in the loop while choosing analytics projects.This book provides a fail-safe methodology for assured success in deriving intended value from investments into analytics. It is a practitioners' handbook for creating a step-by-step transformational roadmap prioritizing the big data for the big decisions, the 10% of decisions that influence 90% of business outcomes, and delivering material improvements in the quality of decisions, as well as measurable value from analytics investments.The acid test for a data-driven organization is when all the big decisions, especially top-level strategic decisions, are taken based on data and not on the collective gut feeling of the decision makers in the organization.
