Card image

October 28,2021

Data Analytics

Abstract

The discipline of Data Analytics helps to clear this cloud of confusion and helps to reach to conclusion about the problem domain. The genesis of Data Analytics lies in the field of Statistics and Mathematics, and can be considered as old as the process of collection and interpretation of data itself. The process of collecting Census data for planning and managing affairs of the state has been happening across the world and are believed to predate to Egyptian civilization. Naturally these data were required to be analysed and interpreted. Analysis of data used to be time taking and complicated process taking years of painstaking work to arrive at the results. Advent of computers and advances in computing technology provided major thrust to the development and application of Data Analytics in variety of Areas. The modern era of Big data and Cloud has resulted in true power of Data Analytics being unleashed with almost all companies, big and small adopting it for their business.

In simple terms, Data Analytics is the discovery, interpretation and communication of meaningful (often hidden and unexpected) patterns in data. Finding such patterns is commonly referred to as Knowledge Discovery using Data (KDD). KDD provides clarity to a situation or answers a question, moving the status from confusion to conclusion, thus clarifying the problem domain where solutioning need to take place.

It should be noted here that Data Analytics is still an evolving field and no universally accepted structure exists. Here we will considerthe following 7 step process:

Data Analytics Steps

Knowledge/ Insight discovery process lies both in the domain of Six Sigma and Data Analytics. In the domain of Data Analytics, KDD i.e. Knowledge Discovery using Data is performed. The seven step process of Data Analytics is used for the purpose. Many of the times, the internal issues, problems and challenges are well known hence Data driven Knowledge/Insight Discovery operates more in relation to the External Ecosystem like situations within the Organisation. It is also applied to situations where massive datasets are generated and it is not possible to manually perform any Analysis.

In the domain of Six Sigma, Knowledge/Insight Discovery process is applied by Organisation to understand itself better. On the one hand, this understanding comes from periodically exploring, examiningand evaluating its Vision, Aspirations, Strategies and Strategic Business Objectives. This exercise is usually performed by apex and senior management.On the other hand the Opportunities and Issues needs to be discovered by exposing the hidden factory within the Organisation by Survey of Departments and Stakeholders.

Knowledge/Insight Discovery using Data Analytics and Six Sigma thus results in identification of Businessexpansion and improvement opportunities.

Previous

Get Free Career Advice



Recent Articles

Technology

Gain Problem Solving Skills & Become A Professional With Six Sigma Black Belt Certification.
5th March, 2021

Technology

Why Indian Techies Are Taking a Crash Course in AI
17th February, 2021

Technology

The Top 10 Machine Learning Languages to Know in 2019br> 25th January, 2021

Technology

How Artificial Intelligence is Changing the Future of Education
6th December, 2020

Related Articles

Card image

1st April, 2021

Why Data Scientists Should Embrace Graphic Analysis

No doubt, this is the best time to become a data scientist, or so says a report from Indeed.....

Card image

28 October, 2021

Development of a Composite Model for Six Sigma and Data Analytics for Organizational Evolution

Six Sigma took its birth in providing structured approach to problem solving by means of defect reduction in Organisations. The focus subsequently moved to...