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TESCO UK's Use of Big Data Analytics

Questions:

Why Would Organization Decide On Using Big Data?

How Does TESCO UK Use The Big Data In Cost Minimization?

What Measure Can An Organization Take Before Deciding On Using Big Data?

Why Would Organization Decide On Using Big Data?

How Does TESCO UK Use The Big Data In Cost Minimization?

What Measure Can An Organization Take Before Deciding On Using Big Data?

TESCO UK is the largest profitable supermarket in British with various outlets in the world. The organization began as a grocery market, however, it has continued to expand its target to have an inclusion of the big data and internet service as well as launching the program on the loyalty card. The organization began data collection of its consumers and has managed to be the pioneer of using big data analytics. With this new approach of using big data, the organization has been able to increase its market share through an increase in the sales of the product by ten percent (Patil, Tkatchuk and Serikova, 2013). This research task in majorly focusing on the challenges that TESCO UK has managed to curb through the use of big data.

The study has an objective of attaining the idea behind the use of big data and the benefits it has on TESCO UK. The information gathered will help in the presentation of the knowledge of the big data on the business continuity for  survival in the competitive market. It is of great significance to make clear the objectives of the study as it will help in the formulation of the research question and the approach that will be used in data collection. The objectives of the research include:

  • To research on the idea of big data as used in TESCO UK in cost minimization.
  • To conclude and recommend the measures to be taken before the use of big data.

The study aims to attain significant outcomes on the big data concept on the organization. The study has some scope to identify and various limiting factors to organization adoption of big data and the factors to that limitation of big data. The major issue on the big data adoption on the organization is the knowledge on the analyzing of the information mined so as to help the organization attain its goals. This study will give the scope concerning the limiting factors of the big data issue.

The idea of big data has been used for many years by the organization. Majority of the organization have a clear understanding of the benefits of the big data (Sas.com, 2017). They are fully aware that if they can get important value and apply analytics only if they capture data that stream into their business. The big data bring a lot of benefit into the organization such as efficiency and speed. The organization has an ability to work faster and stay ahead of the competition through the use of big data analytics. In the past the organization could gather information and run analytics which could aid the management in the decision making, however, that has changed now that the organization can make use of big data in making an immediate decision from the insight collected. The organization can make use of big data and figure out the analytics of the customers who are most valuable. Big data present an organization with an opportunity to create a new experience, products, and services.

Benefits of Big Data

Majority of the leading organization such as TESCO UK has been able to utilize the big data to gain a competitive edge against its competitors and outperform the competitors. TESCO UK has been able to utilize the big data to establish strategies that are data driven for competition (Swamy, 2014).

Based on research, the use of big data can create a new opportunity for business. Based on the analysis of data that have been aggregated, a new business category can be established. The nature of big data is very crucial in addition to the large scale of the big data. For example, the competence for metrics estimation which comprises of the customer loyalty was handle in retrospect in the past. With the emergence of the big data, these practices are handled in a more extensive manner. This contributes to the prediction power. The use of big data is used In both the government and nongovernment organization (Writer, 2016).

Customers have become more aware of their priorities in making a decision to purchase a product or a service. Before a customer can make a purchase they do stop to make a comparison on various options at hand. Consumers have gone to an extent of talking to the owner of the business on social media. They are looking for an appreciation for making a purchase of goods or services. With the big data, the business is able to place the consumers in a profile based on their loyalty. This will allow the business to engage in the one on one conversation with the consumers (MCELHATTON, 2014). The big data plays a very important role in the integration of the consumer digital and physical shopping sphere of influence.

Big data allows the business to collect data from on user feedback. The feedback helps the organization understand how the consumer perceives the organization products and services. This allows the organization to make necessary changes and take the product through redevelopment phase. Big data has made it easier the organization to disintegrate feedback in the various geographical areas and groups (Joglekar, 2016) In addition to this big data has enabled the organization to perform various variations test of computer-aided design that is high end at a faster rate. For example, the organization can collect information about the material effects cost, the performance and the lead times, this will enable the researcher to raise the efficiency and productivity of various processes of the production.

Measures Organizations can Take Before Deciding to Use Big Data

On the literature review, there is an extensive research on the benefits of the big data. However the literature review does not provide information based on the TESCO UK, therefore a connectivity will be drawn in application to the big data. The research gap will present an opportunity to evaluate the data on the company under study. The research targets on finding the various usage of the big data in TESCO UK. A conclusion will be drawn to help in the identification of the factors that could have a crucial role in the big data application.

The qualitative research has been used in order to gain the opinion, reasons, and motivation that are underlying. The use of qualitative research will either provide an insight into the problem, develop the hypothesis for the research. This research technique is used in order to uncover the trends in the thought through diving deeper into the problem. The common techniques used in this project included interviews the employees and the customers, observation on the organization. The sample size used in this is very small and the respondent selected are mandated to give the quota that is full (McLeod, 2015).

The use of the quantitative research technique is based on quantifying a problem through the generation of numerical data which can be transformed into statistics that is usable. This technique is used so as to quantify the perception, behaviors, and attitudes, and the results are generalized from sample population that is larger (DeFranzo, 2016). This technique makes use of the data that is measurable to formulate and uncover the facts and patterns. The quantitative data collection methods are more structured than the qualitative data. Through the use of statistics, data can be analyzed to help in the decision-making process (McLeod, 2015). The relationship between the various variable in the research can be established. In the method of data collection, a questionnaire was given to 50 employees and interview was conducted on various managerial persons. The goal of the questionnaire was to get the internal employee vies on the impact of the big data on the TESCO UK organization.

The limitation of the research was the resources. The manpower and resource required for the research were limited. This made the researcher utilize the minimum resource that was available in the research. This had an effect on the time that was allocated for the research .the research took a longer period than the time that was estimated.

Conclusion

The research plan is as follows:

Number

Item

Duration

1

Introduction

6

2

Literature review

6

3

Data collection

13

4

Result analysis

6

5

Recommendation

5

6

conclusion

3

7

Submission

1

40 days

Conclusion

TESCO UK has made use of the big data from various feeds from many of it outlet s to reduce on the cost. The cost that the organization has successfully managed to cut is the lighting and heating costs. The retailer has managed to work with its supplier over the internet to link lighting and heating controllers from the store over the internet to a warehouse that is data dedicated (Goodwin, 2016).

The organization has greatly benefited from the analytics of big data. The organization through the introduction of the loyalty card has been able to process the huge amount of data that were coming from the cards. This made it easier for the organization to, all the voucher to the consumers which have seen the company an increase of 67% in the redemption of the coupon rate. The organization can now be able to focus on the forecast sales by each store product. This has enabled the company saves a lot of money in the store which could be wasted and on expiry.

Other organizations are now borrowing the idea of big data from the TESCO UK company lead. The organization is now finding the creative and smart ways of using the analytics of big data so as to improve the customer satisfaction and increase the profits.

References

DeFranzo, S. (2016). Difference between qualitative and quantitative research.. [online] Snap Surveys Blog. Available at: https://www.snapsurveys.com/blog/qualitative-vs-quantitative-research/ [Accessed 26 Jan. 2018].

Goodwin, B. (2016). TESCO UK uses big data to cut cooling costs by up to €20m. [online] ComputerWeekly.com. Available at: https://www.computerweekly.com/news/2240184482/TESCO UK-uses-big-data-to-cut-cooling-costs-by-up-to-20m [Accessed 26 Jan. 2018].

Joglekar, A. (2016). 3 Things Telcos Should Know About Alternative Data - DZone Big Data. [online] dzone.com. Available at: https://dzone.com/articles/3-things-telcos-should-know-about-alternative-data [Accessed 26 Jan. 2018].

McLeod, S. (2015). Qualitative vs Quantitative Data | Simply Psychology. [online] Simplypsychology.org. Available at: https://www.simplypsychology.org/qualitative-quantitative.html [Accessed 26 Jan. 2018].

McKinsey & Company. (2016). How companies are using big data and analytics. [online] Available at: https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/how-companies-are-using-big-data-and-analytics [Accessed 26 Jan. 2018].

MCELHATTON, N. (2014). Case Study - TESCO UK. [online] Campaignlive.co.uk. Available at: https://www.campaignlive.co.uk/article/case-study-TESCO UK/165807?src_site=marketingmagazine [Accessed 26 Jan. 2018].

Patil, R., Tkatchuk, R. and Serikova, M. (2013). Supermarket TESCO UK pioneers Big Data - Dataconomy. [online] Dataconomy. Available at: https://dataconomy.com/2014/02/TESCO UK-pioneers-big-data/ [Accessed 26 Jan. 2018].

Sas.com. (2017). Big data analytics: What it is and why it matters. [online] Available at: https://www.sas.com/en_us/insights/analytics/big-data-analytics.html [Accessed 26 Jan. 2018].

Simplilearn.com. (2016). How Big Data Can Help You Do Wonders In Your Business. [online] Available at: https://www.simplilearn.com/how-big-data-can-help-do-wonders-in-business-rar398-article [Accessed 26 Jan. 2018].

Schrage, M. (2015). TESCO UK’s Downfall Is a Warning to Data-Driven Retailers. [online] Harvard Business Review. Available at: https://hbr.org/2014/10/TESCO UKs-downfall-is-a-warning-to-data-driven-retailers [Accessed 26 Jan. 2018].

Swamy, K. (2014). Analyzing TESCO UK - the analytics behind a top-notch loyalty program. [online] Stat-exchange.blogspot.co.ke. Available at: https://stat-exchange.blogspot.co.ke/2011/08/analyzing-TESCO UK-analytics-behind-top.html [Accessed 26 Jan. 2018].

Referenceforbusiness.com. (2016). TESCO UK plc - Company Profile, Information, Business Description, History, Background Information on TESCO UK plc. [online] Available at: https://www.referenceforbusiness.com/history2/56/TESCO UK-plc.html [Accessed 26 Jan. 2018].

Writer, S. (2016). TESCO UK’s Legendary Big Data Benefits - Business Intelligence. [online] Business Intelligence. Available at: https://businessintelligence.com/big-data-case-studies/TESCO UKs-legendary-big-data-benefits/ [Accessed 26 Jan. 2018].

Wood, Z. (2014). Five problems for TESCO UK's new boss to deal with. [online] the Guardian. Available at: https://www.theguardian.com/business/2014/jul/21/five-probems-TESCO UK-dave-lewis [Accessed 26 Jan. 2018].

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