Automation May Be Coming for Predictive Analytics
October 8, 2013
After reading Arxis Cloud’s article, “Prospective Cloud Converts Await Predictive Analytics Advancements” I learned that many businesses are on the edge of cloud deployment, but still have not hightailed it upwards. Some still claim security, service integrity, and scalability as the main reason for holding back, but most of those issues have been fixed. The big problem right now is predictive analytics.
Predictive analytics will be the key player in the future, because it gives companies an insightful, competitive edge needed in today’s market.
“The value of predictive analytics isn’t restricted to any one market segment either. Organizations with complex, globally distributed supply chains (i.e. electronics manufacturers) seem to have the most to gain from staying ahead of the curve, according to EBOnline, but those same core capabilities can also help a startup intelligently ride out its first few quarters. Whether it’s estimating the efficacy of a campaign run through CRM software solutions or conducting what-if analyses through ERP platforms, companies with an advanced view of the future are the ones poised to thrive in it.”
But the algorithms for cloud predictive analytics are complex and involve whole new design requirements. The cloud is seen as the best tool for future, but predictive analytics are even more useful. The analytics component needs to be automated for success, otherwise it will not be a cloudy day for companies.
Whitney Grace, October 08, 2013
Sponsored by ArnoldIT.com, developer of Augmentext
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