Question

please answer question 3. Please do take some updated information about Sears regarding their possible Bankruptcy and could the data be a tangible asset used for liquidation. Answr should be at least 2 paragraph.

The shrinkage data, combined with sale and purchase data, has expanded the organization 2009, Sears decided to begin an initiativ closer to its customers. They wanted to achieve objective by implementing Big Data technol However, their IT capabilities were not up to the It is clear that this food retailer has checked out Responding to the challenge in 2011, Sears initiane significant benefits by filling its cart with data Source: Briggs, L. L. (2010, First Quartor). Food Retailer Bags Thi 1. Why was the knowledge of the IS depertment so valuable to the population of the data warehouse products Their Consider the data that a supermarket tracks a maintains through its operations. Severa: nevw cracker products are being introduced in a few months. The buyers need to gather decide which new products should be approved for Lund's. Discuss what data should be extracted from their data warehouse to move this decision forward.if necessary. The size of data warehouses can become Lund's had several information technology sys tems How influential were the depth and functionali of these systems on the success of the data warehouse project? Why product has reduced the turnaround to es-a radical difference from increased to view details down to the customer level analyses-a compiete that maintaining all data "was crucial because we don't want to archive or delete meaningful data." A significant component of their Big Data project's suocess focuses on the technology infrastructure. Their specific decision to implement Apache Hadoop, an open-source database platform, has been at the Big Data" is getting big attention in many business conerstone of its initiative. With the Apache system organizations across various industries and markets.storing 200 terabytes costs about one-third what i Any advantage that can be gained over your would cost with a commercial relational database competitors is a plus. The challenge is that manyproduct. Therefore, the scalability as the system business organizations are implementing similar expands does not present a cost challenge to the technology initiatives. Therefore, the organization that organization. The new product also enables parallel crosses the technology "finish line" not only first, butprocessing computing power to reduce the time necessary to process records. To emphasize that gain Retailing is a fragmented industry, ranging in size Sears states that the difference between processing 100 from the "big box" stores to local proprietors million and 2 billion records requires only a "little more specializing in a particular product line. However, they than a minute." This fact must bring a smile to the faces more effectively, gains the most all have the same issues: improving cost leadership, of the Big Data miners inventory efficiency, and revenue. One of the Although Sears has struggled, it still remains the important "cogs" of the wheel is building customerlargest appliance retailer and service provider in the loyalty. During challenging economic times, customers are looking for bargains and increased value. How can these be achieved without compromising profiti United States. Therefore, it is imperative for Sears to understand the needs of its appliance customers. They do not believe that they have realized the full potential of using Big Data with their appliance business. The Sears Holding, the parent company of Sears and Kmart, has been experiencing challenges to their organizational, financial, and market success. Faced various data elements associated with customer preferences, service trends, and warranty problems with the intense competition from giant "brick and can provide more gains in this important product areh Sears has populated its nearly 300 nodes wi mortar and online retailers, Sears needed to improve customer loyalty to survive. Sales revenue 2 petabytes of data including customer transactions. declined from $50 billion in 2008 to $42 billion in point-of-sale, and supply chain data. Though it miga 2011. In the same period, Amazon increased its revenue from $19 billion to $48 billion, surpassing Sears for the first time be easier to maintain only aggregate data in the dj warehouse, Sears stores its transactions at individual activity level. This approach allows th the zation to analyze and report about their supply the web and mobile platforms. It is clear that Sears Weil s must focus its resources on leveraging technology to Sears' Chairman, Edward Lampert has indicated and customer sales. It uses Datameer, which ts their data extraction and presentation in a regain retail market share. spreadsheet-stye event. Using the Big Data that technology will provide a strong influence tor intiative, Sears can be more proactive about its the business to succeed. Some of his five pillars ecomotional tocucs. It offers direct promotions to include building brand awareness and creating value customers. persoaized based on the data through information-sharing for store employees. He warehouse analysis. Previously, Sears would analyze has stated that he spends more time on one pillar, include bu only 10 percent of its customer data to determine what promotional offers would be successful. Now, with the new system, they can analyze all data faster "reinventing the company continuously through technology and innovation." He believes that the new customers will tend to use their smartphones and more effic simultaneously as they shop in stores. Therefore, As far as tangible results, in the quarter ended defining and branding the cross-channel experience July 2012, earnings (before interest, taxes, will be a major focus as new technology initiatives are depreciation and amortization) were up 163 percent considered $153 million. This impressive increase was to Source: Henschen Doug, Big Data, Big Questions; Henschen, D. accomplished while same-store sales decreased 2.9 (2012). Big Data, Big Questions. InformationWeek (t percent and 4.7 percent at Sears and Kmart 18-22 respectively. Sears suggests that their financial performance indicates more intelligent targeted Thinking About the Case marketing and promotion. 1. Consider that Sears is maintaining their data Sears has decided to leverage its Big Data project success. It has begun to market its Big Data technology infrastructure and expertise to other businesses through its new subsidiary, MetaScale. Its new business venture offers its Hadoop data center clusters either directly or remotely for customers needing Big Data applications. In addition, MetaScale provides consulting services to assist the implementation of data analytics initiatives. warehouse to the individual transaction level What are the advantages and disadvantages of this data storage strategy? If you were CTO, what data analyses could you accomplish with detail data as compared with aggregated data? Be specific. 2. The adoption of smartphone technology and mobile applications are expanding. Think about your experience of using your smartphones in a retail environment. What functions and features would you consider important for retailers to implement for cross-channel marketing? Sears has one advantage over the giant retailer Amazon. Sears offers a marketing channel that Amazon does not, retail storefronts. While Amazon continually is redefining the customer's online experience, Sears like other "brick and mortar retailers must determine how to improve the in-store environment. For traditional retailing, the challenge continues to reinvent the storefront, specifically how to serve its technologically savvy customers who use 3. The airline industry has used historical informa- tion for decades in order to determine pricing for airfares. Could the availability of historical data and price point modeling create dynamic price changes? Discuss the pros and cons of this

Answer 1

Historical data provides the industry with various useful information such as the increase in the demand of the product, increase in the selling price of the product by the company, the prices of the major competitors of the company in the industry. It provides all the past information along with the relationship of the demand and supply of the product and the changes made on the prices of the product due to change in demand of the product.

Price point modelling basically states that the price of the product should be changed with the change in the demand of the product. Whenever there is increase in the demand of the product, there shall be increase in the price of the product keeping in mind the pricing policies of the competitors.

The historical and Price point modelling provides all the useful insight to the management of the company which can be used to determine the future pricing policies of the product. It helps to be updated with the latest trends of the market.

Pros of this approach

1) It helps the company to analyze the trend of the customer demand.

2) The management focuses more on the needs of the customer.

3) The management focuses on the customer relationships.

4) The management may provide some offers to the customers. Thus increasing the customer base.

5) It helps in increasing customer loyalty.

Cons of this approach

1) the company has to keep in mind the pricing policies of the competitors.As the competitors may reduce their prices drastically so as to snatch our customer base.