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Having access to an effective data warehouse dramatically increases your ability to make smarter decisions, faster. Without a data warehouse, if you want to do cross-domain analysis, you're stuck dedicating tremendous amounts of time and resources to combining and analyzing data across platforms. With a data warehouse, your entire company has a single location to ask and answer questions. However, data warehouse projects fails from time to time. Discuss in details why some data warehouse projects fail to meet the business expectations? Having access to an effective data warehouse dramatically increases your ability to make smarter decisions, faster. Without a data warehouse, if you want to do cross-domain analysis, you're stuck dedicating tremendous amounts of time and resources to combining and analyzing data across platforms. With a data warehouse, your entire company has a single location to ask and answer questions. However, data warehouse projects fails from time to time. Discuss in details why some data warehouse projects fail to meet the business expectations? Having access to an effective data warehouse dramatically increases your ability to make smarter decisions, faster. Without a data warehouse, if you want to do cross-domain analysis, you're stuck dedicating tremendous amounts of time and resources to combining and analyzing data across platforms. With a data warehouse, your entire company has a single location to ask and answer questions. However, data warehouse projects fails from time to time. Discuss in details why some data warehouse projects fail to meet the business expectations? Having access to an effective data warehouse dramatically increases your ability to make smarter decisions, faster. Without a data warehouse, if you want to do cross-domain analysis, you're stuck dedicating tremendous amounts of time and resources to combining and analyzing data across platforms. With a data warehouse, your entire company has a single location to ask and answer questions. However, data warehouse projects fails from time to time. Discuss in details why some data warehouse projects fail to meet the business expectations?
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Answer rating: 100% (QA)
There are a few reasons why some data warehouse projects fail to meet the business expectations 1 Lack of governance Without governance it can be difficult to ensure that data is accurate and consiste... View the full answer
Related Book For
Financial Accounting and Reporting a Global Perspective
ISBN: 978-1408076866
4th edition
Authors: Michel Lebas, Herve Stolowy, Yuan Ding
Posted Date:
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