To: GAP management From: Mashor HarthiBig data is the process for examining data for uncovering the information like identifying market trends, hidden patterns, customer preferences and...

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To: GAP management From: Mashor Harthi Big data is the process for examining data for uncovering the information like identifying market trends, hidden patterns, customer preferences and correlations that can help the organization in making informed business decisions. On the broad scale, big data can be used in the way for analyzing data sets and gathering information. It is the form of advanced analytics that involves complex applications with elements like statistical algorithms, predictive models and analysis that are powered by analytics systems. In the organization, big data can be used for analytics system for making data-driven decisions that can help in improving business related outcomes. The benefits include development of revenue opportunities, effective marketing and improved operational efficiency. Data is collected professionally from different sources and it is the mix of unstructured and semi structured data. The organization can use different data streams that have common sources that include internet click stream data, cloud application, social media content and machine data. Data is prepared and processed after collection of data from sources. It includes the process of partition, configuration and organization of data properly for handling analytical queries. Data is cleansed for improving the quality and it uses the process of scripting to look after multiple errors like formatting mistakes and duplications. This includes the process of processing data that can be analyzed with analytics software through data sets in search of relationships and patterns. The way to improve the process of operation is to eliminate the position of creative director for each firm's brands and it can help in replacing the collective ecosystem by the use of big data. Gap Inc. is one of the creators for carrying produced and assortment with the private label goods. It required promoting data driven decision making and pushing the team for utilizing the data to learn more about the behavior of customers. Data-driven decision making is required for customers to be traceable and identifying customers online. Digital data streams are used by companies for understanding the purchasing journey of customers and collecting detailed trails of data for understanding the online behavior. Big data is mined and it provides actionable insight for providing managerial decision making for identifying consumers that are more loyal with the brand. It can help uncover the pattern according to past behavior of customers and companies could develop algorithm-driven heuristics for customization and treating future customers and maximizing satisfaction. Digital stream data is more accessible and robust that can be used by companies for exploring the way for using machine learning and data mining to induce consumer preferences and prediction of future behaviors. In Gap Inc. it is estimated that big data can make a big difference and it feeds in new product development right from the beginning. The company can use data analytics for informing rebuys and products are placed and designed into stores for providing real-time sales data that is used for analysis to determine reordering of items. It increases the competence along with combination of spotting ends with acting faster and reading the real-time performance. Big data can be the best way for collecting and using feedback. It can help in understanding the perception of customers for product and service. It provides the ability for making necessary changes and redevelopment of products. This includes analysis of unstructured media that allows uncovering general feedback from customers. It includes disintegrated feedback in various geographical groups and locations. Big data allows testing numerous variations for providing high-end design. It includes gathering information about lead time and raises efficiency and productivity of the production process. The use of tools allows mapping the entire data across the company. It includes analysis of all kinds of threats along with information for keeping sensitive data safe. It is important for the organization in dealing with financial information and other such practices. Implementation of big data in Gap Inc. can help in providing the insight to the company for analyzing consumer and market. The data plays an important role in the industry and it can help in providing proper management of data and improved efficiency and productivity. The supply chain handling and it can help in lowering errors and this will result in fewer losses for the company. It provides tools that are required for making smarter decisions and decisions are made based on data. The company can have access to data that are required for improving decision making. The users across the company should have the ability for interrogating and exploring data that can answer the most pressing question of the business. Appendix A Appendix B To: dreadcycles management From: mashor harthi Sustaining growth is when the company has been growing for a few quarters and years, so after this growth, the growth needs to be sustained as that is how the company will be able to grow at the same rate. The growth rate can be sustained by targeting the right customer segments which the company can analyse and then keep on tapping. This target market will be young individuals who have recently gone into the age group of adults, which is 16+. The target segment will be this because after the COVID-19 pandemic people have become more health conscious and therefore they are targeting ways which can be used to make sure that they are healthy also bicycles they become healthy and at the same time they can be used for commuting. The strategy/option that needs to be prioritized should be partnering with offline retailers, this is important because from the data that has been gathered by Tim it can be seen that most of the people in the young age group are not very fond of buying a bicycle over the internet as they are good to select and then modify. This strategy can be prioritized by making sure that the group of retailers across each region is selected and the same can be contacted to understand their sales when the sales are analysed then it can be used to finalize if the company should partner with them or not. This first strategy of prioritizing will be a good way to increase sales, as currently, the firm is not doing any offline sales but going forward with such partners the offline sales can be increased and therefore the growth can be sustained. Also with offline partnering, the regions which can be captured can be increased because this way the company will not have to take care of the storage which will save costs for the company. From Appendix A it is clear that when partnering with new retailers will also increase the sales of parts and accessories, as the same is not being purchased by the customers online and therefore the company lose out on the most profitable sales. With this partnering, the section which contributes most will increase more. The second strategy which should be prioritized should be making technology-related sales, by this, means that the current technology which the company has built for building bicycles can be sold to other developers or manufacturers who want to build more bicycles and from this, the company can take royalty for each sale which the other company who use the technology will make. This way the innovation from the company’s technology will keep happening and therefore the products section of the company will increase which will give the buyers a vast catalogue of bicycles to select from. Further analysis of online sales of bicycles it can be seen that the internet sales of bicycles are something which cover the price range of $1,000 to $3,000, therefore, to target the high-end market the target market will have to change from the current 7-16 years old to people who are above 16 years and are earning because they are the people who will buy bicycles of a price range which is above $3,000. The marketing when capturing the following market segment will have to change because the strategy which is prioritized is the one which will allow the company to capture the offline retail sales which account for the most revenue for the whole bicycle industry. The marketing which can be used are: · Video commercials: This is one marketing which works well for both offline and online, but is effective offline as the consumers go to stores to check out the products which can then lead to sales therefore it is best to drive the videos which will get the consumers to the stores to check out the products · Hosting events: In the offline space, various events can be hosted which will allow the brand to get a presence among the consumers who are the target market for bicycles. These events can do great when they events are something which is great The above-mentioned strategy can be used to target the market which will be great for sustaining the growth which the company is targeting. Another recommendation will be to add further offline marketing things to increase the offline presence of the company. Appendix A Category % of Revenue Bicycles 48% Parts and Accessories 37% Repairs 8.2% Rentals 1.1% Other 3.9% C5 memo feedback: C6 memo feeback:
Answered 1 days AfterNov 19, 2022

Answer To: To: GAP management From: Mashor HarthiBig data is the process for examining data for uncovering...

Asif answered on Nov 21 2022
12 Votes
To: Amazon management
From: MashorHarthi
Big data is the process for examining data for uncovering the information like identifying market trends,
hidden patterns, customer preferences and correlations that can help the organization in making informed business decisions. On the broad scale, big data can be used in the way for analyzing data sets and gathering information. It is the form of advanced analytics that involves complex applications with elements like statistical algorithms, predictive models and analysis that are powered by analytics systems. In the organization, big data can be used for analytics system for making data-driven decisions that can help in improving business related outcomes. The benefits include development of revenue opportunities, effective marketing and improved operational efficiency. Data is collected professionally from different sources and it is the mix of unstructured and semi structured data. The organization can use different data streams that have common sources that include internet click stream data, cloud application, social media content and machine data. Data is prepared and processed after collection of data from sources. It includes the process of partition, configuration and organization of data properly for handling analytical queries. Data is cleansed for improving the quality and it uses the process of scripting to look after multiple errors like formatting mistakes and duplications. This includes the process of...
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