Ibm Predictive Analytics Case Studies

Healthcare is as much about prevention as about treatment, and more the global healthcare industry share and collaborate on patient care options, the better they will be equipped to prevent the occurrence of such diseases in future.

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Six Popular Predictive Analytics Use Cases Predictive Analytics in Agriculture: If there is one thing that modern farming technology could not control, that was weather.

The agricultural community has perennially faced the wrath of Nature, leaving vast agricultural lands at the mercy of poor rain or flood.

Predictive Analytics in Healthcare: The healthcare delivery landscape has undergone a sea change ever since this industry sector embraced data technologies to enhance their physical infrastructure.

All the way from predicting diseases and high-risk patients, Big Data, Machine Learning, and EHRs have made patient-care a collaborative engagement between the healthcare providers and the patient.

The post seems to question the validity and veracity of available data trends versus the actual outcomes.

If this argument is stretched to marketing domains, then the large realm of “consumer behavior” is still an untapped or under tapped area.

PA has made it possible to collect live data from various customer touch-points, both static and dynamic, to enhance the effectiveness of future marketing campaigns.

Highly sophisticated market strategies – micro-markets, customer segmentation, spot campaigns or contests, real-time pricing, contactless conversions—have all been possible because of Predictive Analytics in the recent years.

With the help of data technologies like PA, agriculture has grown into a science of accurate weather predictions and market forecasts.

Hopefully, now the struggling farmers will see a turn in their fortunes, which they failed to realize even with the most modern farming technologies and tools.

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