Association Rule Data Mining

Target Corporation enhance its information warehouses with latest big data that is technologically sophisticated to crunch large data using complex algorithms and provide vital output data for a daily operation as well as strengthen its capabilities over its rival which is a competitive advantage and speed up worker productivity. A quality tracking tool provided by information system tracks each package, parts ensuring the goods meet the quality standard.

1. Marketing specialists at Napanee Beer Co. developed a new advertising campaign for summer sales. The ads were particularly aimed at sports events where Napanee Beer sold kegs of beer on tap. The marketing group worked for months with a top advertising firm on the campaign. Their effort was successful in terms of significantly higher demand for Napanee Beer's keg beer at sports stadiums. However, the production department had not been notified of the marketing campaign and was not prepared for the increased demand.

The story of Market Basket became a fascinating case study for researchers studying organizational leadership as well as for members of the business world. Aside from being modeled after a symbolic-interpretive perspective, this case caused sensation as it proved that employees, customers, and even stakeholders do have the power to, not only halt operations, of an organization, but also were able to cripple a 4 billion dollar company. The once mom-and pop- store throughout the years grew to become a 4 billion-dollar company led by two cousins Arthur T. Demoulas and Arthur S. Demoulas. After, Arthur T. Demoulas, was ousted by the company by his own cousin, Arthur S. Demoulas, employees & customers took matters into their own hands and banded

To begin with, Dell software an information technology enterprises describes Data Mining as “an analytic process designed to explore data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the

The management team of Kudler fine Foods uses the intranet to keep demographic data on each of its customers. They can access their names, addresses and important data for special mailings. The inventory is managed and the availability of ingredients can be determined. The items from a store can be obtained from what has been purchased. An order table can be used to record pertinent information. The order line can be seen to show the description, quantity and price. The store table is used to retain data for each store. The supplies table contains data information from tax table is used to provide accurate taxes. The tender table is used to provide a record of payment for an order.

Kudler Fines Foods founded in 1998 and is growing rapidly. When they open their first store, Microsoft Access was selected as the database to track inventory, orders, and customers. The products, they sold are perishable and inventory must be properly tracked. Kudler excessive inventory is always a concern. This paper will evaluate database tables from accounting perspective, provide recommendation for improvement and create pivot table to help Kudler's management to improve decision making process.

Kudler Fine Foods (KFF) is a specialty food company that is base in California and has stores located in Encinitas, Del Mar, and La Jolla, its main store. At the stores customers can purchase fine foods such as produce, meat, and other specialty items that they provide. Kudler Fine Foods is considered one of the best fine food stores around. However, Kudler is in serious need of a network infrastructure upgrade of their old one. With the introduction of technology advancements in data collection items such as; network access and increased speeds while still providing information protection; and company communication; are the primary goals of the enterprise network. This step is important because it will increase the income and will reduce the cost of operations within the KFF stores. Kudler Fine Foods will go back up to technological speed as the network upgrade is completed, while at the same time improving the way they keep track of inventory and sales by using data mining techniques, which will be collected and analyzed in real time.

The system also provides productivity information. It allows management to measure productivity by region, by plant. Managers are able to utilize the data to see which employees are the most productive. The CRM system tracks our suppliers, matching the orders placed, against deliverables. This assists the firm in identifying the premier suppliers. The suppliers are given a logon, and required to submit a quote for the goods that we need within 24 hours. The pricing they supply is automatically fed into our system, and is used in the calculation to see if the projected customer request is profitable based on that suppliers quote. The analysis is generated for the plants operation manager, and is helpful in the decision making process. The investment in technology pays for itself.

The use of barcodes and detail pallet labels allows the Warehouse Management System (WMS) to track products within the RDC. The barcodes are scanned in the receiving area and checked against the relevant purchase orders for compliance. Additionally, the Oracle WMS (Cameron 2014) determines the required slot, tracks inventory and allocates despatch picking sequences in customer requirements (Sadler 2007, p.159).

Boston Beer Company (BBC) is exploring entrance into the hard soda market, and enter-ing this market is justifiable. This market is poised to yield a 175± percent increase in 2016, with 10 million more cases sold compared against the previous year (PY) (Peters, 2016). Finalized 2016 results have not yet been published. The source of this market growth is Millennials*, at-tracted to the sweet flavor profile and “retro" factor of hard soda (Peters, 2016). An analysis performed by Mintel found that two in five U.S. drinkers aged 22+ (particularly Millennials) are interested in trying products with alcoholic soda flavors (Forsyth, 2016).

As new products are introduced, it is important to implement them into the current system. This system can be an ERP system or a manual system. New products have to be put on the list so that management can keep track of the products sold. Storage space need to be allocated for the new products so that they can be retrieved from that location once an order has been placed.

Data mining can aid direct marketers by providing them with useful and accurate trends about

Wal-Mart’s advanced data-mining tools allow them to fine tune and improve customer responsiveness, giving customers what and when they want in offer. It can be compared to

Market Basket Analysis, also known as affinity analysis, is a technique to identify items likely to be purchased together. Market basket analysis is only one of the various possible functions that data mining tools can perform. This type of analysis connects to the findings of the retail sales data to allow the user to draw conclusions as to the relations between the products that are irrelevant at the first sight. Implementations of such decisions can lead to a major rise in sales and profits for the retailers. This can be done, for example by laying four products that are related in the nearly-located aisles, or by putting special offers for, let us say, soap on then packs of diapers. For instance, if you are in an

Association rule is the mostly used data mining technique. As an important part of the data mining technology, association rule