Spotlight on ISVs: Why embedded BI and analytics supersede traditional data warehousing by BirstWelcome, Guest      sign in | register | help


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Research Abstract
Spotlight on ISVs: Why embedded BI and analytics supersede traditional data warehousing
by Birst

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Published on: January 09, 2013
Type of content: EGUIDE
Format: Unknown
Length: 8 pages
Price: FREE

Overview:

For years, data warehousing (DW) has been the foundation of business intelligence (BI) and analytics. Using DWs for BI and analytics made sense -- mining data from one centralized location was easy to execute.


But with the ever-growing need to for real-time BI to foster rapid decision-making, organizations are forgoing pulling reports from massive DWs and instead looking to embedded BI dashboards and embedded analytics to gain faster insight.


Read this e-guide to gain a better understanding of the advantages embedded BI and analytics has to offer as well as the key differences between the two technologies.

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