Big Data in Retail: Data Collection, Orthodox Research Methods

This presentation explores the application of big data within the retail industry, focusing on data collection methods and a comparison between orthodox research and big data approaches. It highlights the use of primary and secondary data, emphasizing the suitability of primary data for understanding current organizational performance, particularly within retail companies like ASDA in the UK. The presentation differentiates between first-party and second-party data collection, explaining how customer feedback and social media reviews contribute to business insights. Furthermore, it contrasts the traditional, structured approach of orthodox research with the broader, more versatile data collection methods associated with big data, which include social media platforms, digital software, and websites, ultimately emphasizing the advantages of big data in gaining a comprehensive understanding of market performance.

BIG DATA PRESENTATION

TYPE OF DATA IS COLLECTED RETAIL INDUSTRY
There is two way of data collection: Primary or Secondary. Primary data is new
data. And secondary data is available data. Primary data is more suitable concept
because it defines current data about organization performance.
• Application of Primary data is more suitable concept because collection of this
data is mainly provides proper and exact information which is beneficial for
business effectiveness improvement. ASDA is retail industry in UK and they
majorly collect data from primary data base.
• 1st party data: On the basis of primary data, its collect by company consider first
step where organization market research collect data from their regular customer,
throughout their feedback form. ASDA Company provides services like grocery,
financial services, children toys and many more items they have. So collection of
data with interview and questioner clearly provides information about which
resource engagement is important and which activities not performing well by
organization.
• 2nd party data:
Its little similar to fist data collection where company customer and stakeholders write
comments, review on social media page, websites and many more were research can
easily analyse client happy with product and services or not and which things they require
in business.

ORTHODOX RESEARCH: This data collection is also called traditional methods
of data and analysis of this data is very limited and it analyse with proper structure
like qualitative research where they implement fix question and ask to their
customer this is also called as preliminary data analysis.
• Difference between big data and orthodox data:
• Big data and orthodox data has many differences and mainly both the term is
utilize when organization wants to implement research about their goods and
services for improvement in business activity.
• Big data collection is refers to includes two ways of data which primary or
secondary. Application of primary data is broad concept where organization has
multiple options to recognize and analysis of market performance towards within
their business product and services it includes social media platform, digital
software’s, website, emails and many more. But the other hand Orthodox data is
limited they only collect data from their customer with their regular customer with
specific question.
DISTINGUISH BETWEEN ORTHODOX
RESEARCH AND BIG DATA:

REFERENCES
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