There are several benefits as well as challenges associated with the use of Big Data Analytics in the e-Healthcareindustry. Identify the challenges associated with each of the Catagoriesbelow: Data Ga

Data Gathering

Big data is challenging to deal with due to the challenges in collection, representation, and transmission. Big data presents with complex structures and various dimensions that make it challenging to represent (Dash, et al., 2019). Also, transmitting large volumes of data to the storage infrastructures is inefficient because of high bandwidth consumptions and energy efficiency associated with big data, making the data gathering difficult.

Storage and Integration

The storage of large volumes of data poses a primary challenge in organizations, where the onsite server's maintenance is difficult and expensive. The organization is required to implement cloud-based storage following the decreased cost and increased reliability of cloud storage. However, it may not be a flexible and workable approach in some organizations. Also, the integration of big data is challenging due to the variety of data; important information is obtained from various sources, including enterprise applications, social media, systems of email, and documents created by employees, among other relevant sources (Dash, et al., 2019).

Data Analysis

Increased data growth has negative implications when it comes to analyzing all the information. Considerably, the information in the digital universe in IT systems is doubling within two years, making it difficult to explain the data. For a successful big data analytics, the organizations must overcome all the other challenges associated with big data. However, dealing with such problems is costly to the organization in terms of time, finance, and commitments (Dash, et al., 2019). Believably, implementing the big data analytic in healthcare settings reduces costs by about 25% per year.

Knowledge Discovery and Information Interpretation

The big data in health care industries come with possession of massive sets of data originating from heterogeneous sources. Unfortunately, conventional analytics hardly manage the vast volumes of data. Therefore designing a high-performance platform for computing that can handle big data analytics is a challenge. The big data, as a result, remains unhelpful since no information is translated, not knowledge discovered.

Reference

Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 6(1), 54.