Healthcare has to be outright efficient. Why? Because it saves lives. Negligence is something it cannot afford. The burgeoning demand for medical services has further made it a necessity.
The infinite potential that data brings along with it has not been vastly comprehended. Most businesses still treat it as a stumbling block rather than an opportunity.
In today’s digitally driven world, data has become the hottest currency. As data grows in size and proportion, enterprises are latching on to data science techniques to extract valuable insights helping them to make informed decisions.
In an ever-connected world, the Internet of Things (IoT) applications are many. They are pure technological marvels, revolutionizing the way we interact with devices, data, and each other.
It is the 80s. MTV is still alive. On a busy Monday morning, you rush to your bank because you need money for your college fees.
If you were to answer, what’s the difference between business intelligence and business analytics? What would you say?
In a recent example from Europe, a bank tried several programs to retain its shrinking customer base by focusing on inactive customers, but it has failed.
Data Visualization has gained momentum in almost every field, except finance. It is only ironic that the department that deals with data and numbers all day doesn’t feel the need to visually represent them.
Thanks to its considerable benefits and advantages, Big Data is making inroads into healthcare, and for good reason. Big data applications in healthcare will end up significantly impacting our lives.
Transformation has occurred in every day and age. We did this when we moved from physical to digital. Now, AI (Artificial Intelligence) and IoT (Internet of Things) are taking center stage when ETL (Extract, Transform, and Load) has replaced manual transformation.
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