8 Reasons To Consider Insights-As-A-Service - InformationWeek

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Data Management // Big Data Analytics
10:06 AM
Lisa Morgan
Lisa Morgan
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8 Reasons To Consider Insights-As-A-Service

Organizations are purchasing all kinds of data and analytics solutions, but they still may not be meeting their business goals. If this describes your company, see how insight-driven (vs. data-driven) practices are helping other firms address the problem.
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(Image: geralt via Pixabay)

(Image: geralt via Pixabay)

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User Rank: Apprentice
3/30/2016 | 12:52:26 PM
So true!
All of these reasons for using Insights as a Service are key, but they suggest secondary sources of data, that are potentially biased. There are business decisions such as M&A and fast-turnaround regulatory responses that are the most accurate when sourced as fresh, primary data, sourced without potential bias of a previous interaction with the company. For instance InCrowd provides an "Answers as a Service" platform independent of a company's Big Data or analytics stack that companies can access on an as-needed basis to ask questions, and obtain insights in a matter of 2 hours.


Meghan Oates-Zalesky, commenting for Diane Hayes, PhD. and InCrowd
User Rank: Strategist
3/29/2016 | 10:10:49 AM
"Insights-as-a-Service offerings tend to connect to multiple data sources, including enterprise data. They may also provide users with publicly available data, anonymized data, competitive data, and comparative data that the enterprise lacks."

Yes! This is exactly why cloud-based analytics are often superior to on premise. You can bring in more data and share the data and insights more easily. There's actually a great blog post here about the state of cloud-based analytics: bit.ly/1ZirWx9


Karen Bannan, commenting for IDG and Informatica
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