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Bitm Data architecture. In my data architecture map I have included 3 laptops, 1 per manager each protected with their own password unique to each specific user. Also included are 2 personal office computers which all 3of the managers have access to.

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Introduction

BITM Assignment 2009 Design a data architecture map for a small businessand address any problems that may occur using relevant bitm theorists. Task 1 In my data architecture map I have included 3 laptops, 1 per manager each protected with their own password unique to each specific user. Also included are 2 personal office computers which all 3of the managers have access to. The function of each piece of hardware is different and with the help of the map I have described the flow of the data and the relationship between each piece of hardware below. Purchasing manager's laptop * Invoices from ink and card supplier entered manually into a spreadsheet * Data from invoices processed into graphs * This is then analysed and a report typed using a word processor * This report is then emailed to the other 2 managers before monthly meeting * The cost of ink and card is also emailed to the manufacturing managers laptop * the manufacturing managers then can process the cost data and work out the production cost per unit * The bill from the outsourcing to graph soft is also manually entered into the spreadsheet along with invoices from the printer maintenance costs provided via email from the manufacturing manager. ...read more.

Middle

Using examples from the case study organisation I will set out to discuss the advantages and disadvantages of compiling architecture maps. Firstly I will look at the technical objectives that data architecture can help an enterprise achieve. Optimising the usage of decision support systems is helpful to a business as it aides the user in the decision making of the business. The classic Decision making theory is defined by Herbert Simon (1955) as having four main stages: 1. Intelligence-Awareness of the problem exists and that it must be solved. 2. Design-Alternatives are identified and reviewed weighing up the costs and benefits they may have if implemented. 3. Choice-The decision is made by selecting the best solution. 4. Implementation-The decision is implemented and reviewed for its success However humans are not as efficient at this for all decisions in Information systems as they are prone to error and poor memory recall so decisions support software is often used , For example the software helps automate processes which in our case study could relate to the manufacturing manager using a stock system which will automatically order when it knows the printer has used stock and its close to empty or an automatic warning when the printer is close to a servicing date or when maintenance is needed. ...read more.

Conclusion

found that; * Data warehouses are not the optimal environment for unstructured data * Because data must be extracted, transformed and loaded into the warehouse, there is an element of latency in data warehouse data. * Over their life, data warehouses can have high costs. Maintenance costs are high. * Data warehouses can get outdated relatively quickly. There is a cost of delivering suboptimal information to the organization. * There is often a fine line between data warehouses and operational systems. Duplicate, expensive functionality may be developed. Or, functionality may be developed in the data warehouse that, in retrospect, should have been developed in the operational systems and vice versa. In conclusion, a well-designed data architecture provides a solid foundation upon which an enterprise can build solutions to meet both the current and future needs of its decision-makers and knowledge workers. This foundation maximizes the value of enterprise data and supports the organization's investment in information as a strategic resource. By providing more timely, complete and accurate information, a solid data architecture helps an enterprise gain a better understanding of its customers and its markets. A solid data architecture also creates efficiencies in information flow, leading to faster time-to-market performance for organizations. ...read more.

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