BUSINESS DATA ANALYSIS

INTRODUCTION

The business data analysis is the activity which helps managers to make the decisions regarding the decisions of strategic, achieving the major goals and to solve the major problems by the method of collecting, analyzing and reporting in the important information related to the manager needs.

 APPLICATIONS

1. BUSINESS INSIGHTS
2. Nike using the different things to collect the data including the apps of the brand which are the Nike training club in which they are providing the training to the costumer and they can entertain with the services of the training and then giving the review and comments about the service and training of the products, Nike collecting the information by this but this is also giving the benefit to the Nike that the costumers are motivated to purchase the product.
3. Nike SNEAKERS is also the other way to collect the customer data and they are providing them the data of the all costumer, they can easily analyze the data by this application. The data is using to make report of all the things and then management decided and make the new strategy to attract more customers and then they can increase the sales.
4. Nike app is also helping the brand to collect the data and act according to it. They collect every data of every customer to provide them the better facilities and they can increase their sales. This application also gives them the idea that how much goals they are achieving and what is the next strategy to work with and how to deal with the situation. It’s also give access to the Nike experts for the sports which a customer want to play.
5. Nike fit is a smart phone camera which is using to capture and scan the customer’s feet by using some artificial intelligence. It is also the source of collecting the data.
6. Retail Stores the Nike is focusing on its retail store to collect the proper data from the future use.
7. 30 days wear test providing by the Nike to get a review about the shoes and it will also give the benefit to the customer.
8. Supply chain management by supply chain it is also the method to collect the data in different ways by observing.

(Barseghian, 2019)

 COMMENTS

The Nike is an international brand and manages its businesses globally, Nike are able to manage all of the activities and the collecting data apps which is helping them to manage the strategies and give them the next step so they can innovate and manage the products according to the customers and the profit ratio of the brand should be higher by the previous years, it is also important for the company to maintain its progress every year and the goals for the company is made and worked to achieve it. As Nike have a strong market share and brand personality so they can manage all of their data according to the powerful applications they are using.

OBSERVATION

1. Scenario planning is the technique used by the Nike and the planning is used to collect the data for the collection of the data.
2. Sustainable product development is the planning which is used to do the development of the product by sustainable methods.
3. Customer Segmentation is the method that customizes the segments for the customer to provide the segments for the customers.
4. New store location selection is the marketing process on which Nike investigates about the store and they are opening the new location about the customers and the store.
5. Product Selection is also the process in which product is selected or rejected or innovated according to the reviews and the collection of the data.
6. Inventory management is also analysis in the process of the collecting information for the different process.
7. In store customer experience: Customer experience is collecting in store by collecting the information according to their reviews and their feedback; they are collecting the data by surveys and observation. It is helping them to analyze and make strategies according to the data and they are applying strategy according to the customer that what product they should innovate and what product they can continue and what is enough for the time.
8. Advertising creative is a creative work which is motivating the customers according to their choices and personality, Nike collecting the information through the feedback and the responses which is received by the customer, they are innovating their advertising strategies time to time to motivate and attract them according to the brand.

(Boyd, 2019)

RECOMMENDATIONS

The recommendation for the Nike is to build more powerful application which are having more functions and capabilities to collect the data and after collecting it will analyze it correctly, which give them the profit and competitive advantage.

CONCLUSION

The conclusion is summarizing the all information which is discussing for the data analysis. Nike has the strong network of data analyzing and they can collect the data for analyzing and the apps which they are using are also innovated time to time. The data analysation is a process to know about the goals and the product (where are we now). It gives the proper image to the business about the brand about the company progress and more importantly the thinking, feedback and reviews of the consumer about the product. The business data analysis process should be powerful to collect the correct data and analyze it properly. After some years the method of data collecting should also change by the time being and Nike will change it according to the time because innovation is a key point for the Nike and they are manage it according to the time and in next year they will innovate some new technology to collect the data more accurately and analyze it properly to achieve more goals of the brand and it will give them more profit because innovation, correct data collection then making report and from them the important points from them and then manage the company according to the collection of data and analyze them is the success of the brand or business.

Bibliography

Barseghian, A. (2019). How Nike is using Analytics To personalize their customer experience. Forbes .

Boyd, C. (2019). How Nike Use Predictive Analytics. The startup .