Without a fail it can be said that the medical industry today depends on specialized equipments, that help in tracking the vital signs, and make diagnoses. Here big data and analytics tools can help in improving the health in multiple ways.

There are multiple places where the wearable trackers transmit information to physicians and let them understand whether the recommended medical plan is getting followed or not.

Such compiled data helps the doctors with comprehensive views of patients’ well-being, offering much more in-depth information than brief in-person visits. Also, the integration of big data and other types of analytics help hospital managers to reduce the waiting time & improve the patient care.

The patients’ data in bulk help in prescribing recommendations to produce progress in the well-being of the patients.

Banking sector is the industry which deals with sensitive users’ data and lets users to access the information on their fingertips. With the integration of Big-Data, people get the technological advancement in the way they access information form their respective banks.

The utilization of Predictive Analytics and NLP-natural language processing helps customers view banking transaction histories or information about upcoming bills.

Further the breach of security is well-handled and managed by Big data, as it fights against banking fraud and help in smooth sailing of transaction process.

Leveraging data to optimize the supply chain operation, requires huge set of cost and time to go invested in there. The data management is the problem faced by every business regardless of its industry, domain or size.

Big data provides the data in its original format means no cleansing or standardizations are applied when the data sets are captured. Big data platforms rely on commodity processing and storage nodes for parallel computation using distributed storage.

It also becomes super easier for the busineses to capture and store data for reporting and analysis centers on absorbing data into a predefined structure and get the access at any point of time, without being hassled by the data management.

With BI data management, both structured and unstructured data sets can be ingested and stored in their original formats, avoiding the utilization of predefined data models, and lets multiple users to adapt the data sets in the ways that best suit their needs.