to confidentiality. They are: • Data protection act 1998 • Access to personal files act 1987 • Access to medical records act 1990 The following have to follow legislation mentioned above: • Nurseries-private/government based/child minders/nannies • Hospitals-private/government funded • Schools-private/government funded • Doctor surgeries • Care homes • NHS Data protection act 1998 The Data protection act was developed to give
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Introduction This report will give an overview of the aim behind collecting data‚ types of data collected‚ methods used and how the collection of the data supports the department’s practices. It will also give a brief outlook on the importance of legislation in recording‚ storing and accessing data. Why Organisations Need to Collect Data * To satisfy legal requirement: every few months there is some request from the government sector to gather‚ maintain and reports lots of information back
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hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh Case- Harrah’s Entertainment Inc. Questions: 1. What are the objectives of the various Data Base marketing programs and are they working? 2. Why is it important to use the “customer worth” in the DBM efforts rather than observed level of play? 3. How does Harrah’s integrate the various elements of its marketing strategy to deliver more than the results of Data Base marketing? 4. What is the sustainability of Harrah’s actions and strategy? 5. What are the privacy and ethical
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Case C3_L1A Submission #2 Score is 92 out of 100 1. Verify that your name appears in the footer of the document. 2. Change the theme colors to Technic. (Note: the theme fonts and theme effects should remain Office.) 3. Figure 1 shows the letterhead that you will be creating. Begin by inserting a Cloud shape. Resize the shape to an approximate height of 0.95" and width of 5.85". 4. Change the text wrapping for the shape to Top and Bottom. Change the shape outline
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9:14 AM Week 3 : Managing Assets and Resources in the Digital Firm - Homework Save Answers Submit for Grading 1. A characteristic or quality describing an entity is called a(n) (Points : 1) field. tuple. key field. attribute. 2. The confusion created by _____ makes it difficult for companies to create customer relationship management‚ supply chain management‚ or enterprise systems that integrate data from different sources. (Points : 1) batch processing data redundancy data independence
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SYSTEMS‚ INC‚ INC. DATA PROCESSING AGREEMENT This DATA PROCESSING AGREEMENT is made and entered into as of the 1st day of August 2008 by and between Big Bank and Systems‚ Inc. In consideration of the mutual promises and covenants contained herein‚ the parties hereto agree as follows: 1. DATA PROCESSING SERVICES. Systems Inc. agrees to render to Big Bank the data processing services described on Exhibit "A" (the "Services") for the term of this Agreement‚ and Big Bank agrees to purchase the Services
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of the industry. For example‚ software storage applications may act as substitutes for hardware storage devices. If the substitute product presents a value proposal‚ which is distinctively dissimilar to‚ the current offers in the industry‚ the threat of the substitute is said to be high. It is however said to be lower when the substitute is a poorer performance product. Customers are less likely to shift from Data Tech if substitute products are of lesser quality. Tech Data Corporation can deal with
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More than Data Warehouse- An insight to Customer Information Ritu Aggrawal – agg_ritu@rediffmail.com Deepshikha Kalra -deepshikha_ishan@yahoo.co.in working with MERI affiliated to GGSIPU‚ Delhi ABSTRACT The business requirements of an enterprise are constantly changing and the changes are coming at an exponential rate. Like advances in Information Technology have helped companies to quickly match competition. As a result‚ product quality and cost are no longer significant competitive
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1. With necessary diagram explain about data warehouse development life cycle . Ans : Introduction to data warehouses. Data warehouse development lifecycle (Kimball’s approach) Q. 2. What is Metadata ? What is it’s uses in Data warehousing Archietechture ? Ans : In simple terms‚ meta data is information about data and is critical for not only the business user but also data warehouse administrators and developers. Without meta data‚ business users will be like tourists left
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d10)‚ and (3) (b1‚ c2‚ b3‚ d4‚ ...‚ d9‚ d10)‚ where a_i != b_i‚ b_i != c_i‚ etc. The measure of the cube is count. 1‚ How many nonempty cuboids will a full data cube contain? Answer: 210 = 1024 2‚ How many nonempty aggregate (i.e.‚ non-base) cells will a full cube contain? Answer: There will be 3 ∗ 210 − 6 ∗ 27 − 3 = 2301 nonempty aggregate cells in the full cube. The number of cells overlapping twice is 27 while the number of cells overlapping once is 4 ∗ 27 . So the final calculation is 3 ∗ 210 −
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