Spotlight on ISVs: Why embedded BI and analytics supersede traditional data warehousing

Spotlight on ISVs: Why embedded BI and analytics supersede traditional data warehousing

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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.

Vendor:
Birst
Posted:
09 Jan 2013
Published
09 Jan 2013
Format:
PDF
Length:
8 Page(s)
Type:
eGuide
Language:
English
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