Data Insights for Business Decisions - A Study on Sainsbury's

Data insights For Business
Decisions

Table of Contents
 Introduction:
 MAIN BODY
 Evaluation of type of data used and collected by the company:
 Description of difference between market orthodox and big data:
 Explaining about the ways in which the information is stored:
 Description of the impact of technological development on the use of data for decision making process:
 Analysing about the strategic importance of data in day to day operations of organisation:
 Evaluation of ways to improve data capture as well as usage in the firm:
 Conclusion
 References

Introduction
The term big data is termed as large volumes of data that can be in structured as well as unstructured way. The big
data supports the organisation to make facts and evidence based decision making process. The main purpose of big
data is to optimise business process by gaining an deep insight about the customers of company. For this report
Sainsbury's organisation is taken into consideration. The company is currently the second largest supermarket chain
based in London, UK. The report will cover about the types of data which is used by the company. In addition to this,
the report will highlight orthodox market research and will explain about how big data is different from this.

Evaluation of type of data used and collected
by the company
The big data is crucial for the modern companies as it supports the organisation to make well informed decisions as
well as also helps the firm to understand customer wants and desires in the most effective manner(Singh, 2019). The
use of big data assists the firm to analyse customer trends in the most appropriate manner which directly helps firm
to develop and implement fact based strategies in order to improve its competitive position in market. In context to
Sainsbury's firm, the second largest supermarket chain of UK undertake use of big data tools which helps the
organisation to effectively predict the future demands of the customers. The collection of data through machine
learning supports the company to efficiently know what products do customers want to buy in future.