DATA ANALYTICS LIFECYCLE

Running Head: DATA ANALYTICS LIFECYCLE 1

BIG DATA ANALYTICS 2

BIG DATA ANALYTICS

Surya Teja Putta

University of the Cumberlands

Big Data and Analytics

Abstract

This study reviews the field of big data analytics which is a multidisciplinary field which applies scientific techniques, processes, algorithm, and system to get knowledge and trends from a given set of data. It as well involves applying statistics, data analysis, machine learning, and other related techniques so as to understand a given set of data. The study concentrates on framing a business analytics problem which is one of the crucial parts of the data analytics lifecycle. On the issue of framing the problems, the study elaborates on the significance of correctly framing the analytic problems since it is a very crucial part in data science. Additionally, the study gives a case study on the issue of framing questions at ABC incorporation where the organization is planning on shutting down the fiber internet supply to willful defaulters.

Big Data Analytics

Big data analytics is a multidisciplinary field which applies sine6tific techniques, processes, algorithm, and system to get knowledge and trends from a given set of data. It involves applying statistics, data analysis, machine learning, and other related techniques so as to understand a given set of data. Framing a business analytics problem is one of the crucial parts of the data analytics lifecycle.

Literature review

A lot of study has been carried out in the field of big data analytics. In 2001 Laney classified data using the 3Vs model, which composed of volume, velocity and variety. He also outlined the steps of data analytics including the framing of analytics problems. Sagroglu and Sinanc (2013) also did a wide research on big data research and the framing of the analytics problems where they concentrated on the security issues. Additionally, Rani (2016) also insisted on the need of proper framing of business analytic problem in data science. However, though several studies have been carried out before, there still need to carry more research on the business analytics problems as a part of big data analytic technique.

Discussion

For the success of any project in an organization framing the problem is very crucial. This process involves starting the analytics problem to be solved. It involves noting down the problem statement and sharing it with the stakeholders (LaValle, 2011). In this case, different stakeholders understand the problem differently and give different views and solutions. Due to this, it is important to state the analytic problem as well as why and to whom it is important. Basically, the team needs to precisely elaborate on the situation and its main challenges (EMC Education services, 2015).

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