Efficient Clustering of High-Dimensional Data Sets Assignment Sample

• Subject Name : Accounting and Finance

Finance Accounting

According to the caselet, Café CRANDON has reduced costs by changing the product from fresh to frozen. Explain the various facets of target costing introduced by Café CRANDON in the process of cost reduction.

A variety of discrete operations and assessments are part of the goal costing process. It starts by defining the commodity, its features and attributes and its optimum sale price. This is potentially the biggest step in this process. Ultimately, the product itself dictates the costs needed for the manufacture and selling of the product. The first step is defined by Butscher and Laker as (1) specifying the target segments, (2) determining the competitive benefits and disadvantages, (3) placement of the new product in the target segments, and (4) finalising product design and price analysis and (5) market simulations. In this first point, market analysis is a key factor. Market research should concentrate on the needs and expectations of the consumer, whether conducted inside or outside the organisation. What is the consumer asking for? What functionality the consumer needs or does not like, like or what.

 Also relevant are the customer's expectations of product , price and profit. Marketing analysis defines the cost of the product, considering its availability, consistency and the alternative goods provided by rival businesses, who are willing to be compensated by consumers. The consumer knowledge helps software engineers to concentrate on the attributes and functionality they need. The second step is to determine the target benefit or profit margin. The next step. Fair benefit and profit margin and the expense to be offset by projected expenses, incremental expenditures needed, decommissioning or disposal over the life cycle of the commodity. The profit margin should therefore be adequate to fund continued research and development of products.

Using target costing, Crandon Farms was able to proceed in a very methodical and rational way to avoid having a very good, but non-competitive product in the HMR market. Enumerate how Café CRANDON used target costing for effective strategic control.

The goal cost is the permissible sum of expenses that can be accrued and yet benefit from the purchase. It is cost-effective on the market. If well performed, the competitive advantage of an organisation can be strengthened by product enhancement, cost savings and time to market growth. A consistency. A consistency. Objective costing increases product efficiency by making product creation and costing procedures clearly objective. Cost thresholds can not be met by sacrificing the functionality a consumer needs or by reducing a product 's efficiency or reliability. A price. Cost savings is the cornerstone of the costing goal. In comparison to conventional practises, Cost accounting becomes a part of benefit accounting and is smart,

Customer-focused cost control design phase until sustained. A Moment. A Moment. Objective costing reduces the time from idea to retail promotion when goods and procedures are concurrently developed. There is no time to see if a product should be produced as planned or when design has been fixed. This module discusses the use of goal costs as a policy mechanism for cost control and benefit planning. In comparison to conventional cost control tools, we will define the basic concepts, illustrate the essential steps in the process and explain how it works in operation. You can understand after learning this module:

A short history of goal price. A context. A Goal costing criterion. A The key concepts behind the costing. A The goal costing method overview. How to meet commodity production prices. Why in reality expenses are minimised. A The accounting impact of aim costing on administrators.

References for Efficient Clustering of High-Dimensional Data Sets

Calvary, G., Coutaz, J., Thevenin, D., Limbourg, Q., Bouillon, L., & Vanderdonckt, J. (2003). A unifying reference framework for multi-target user interfaces. Interacting with computers, 15(3), 289-308.

McCallum, A., Nigam, K., & Ungar, L. H. (2000, August). Efficient clustering of high-dimensional data sets with application to reference matching. In Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 169-178).

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