Grocer’s Guide to Simplified PCI Compliance Ahold Supermarkets Case Study Paul Brooks • Director, Information Security • Ahold Copyright 2010 Trend Micro Inc. Who are we? • We own and operate hundreds of supermarkets in the United States and Europe. • Our brands include Giant, Stop & Shop, Albert, Etos, and more. • Number of Stores: 800 across North America • Number of Employees: 100,000 • Number of Systems: 35,000 Copyright 2010 Trend Micro Inc. Business Objective Key
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NEW USERS POLICY In heeding with the set standards from HIPAA Security and HITECH Rules, Heart-Healthy Insurance is devoted to ensuring the confidentiality, integrity, and availability of all electronic protected health information (ePHI) it creates, receives, maintains, and/or transmits. To provide for the appropriate utilization, and oversight of Heart-Healthy Insurance’s efforts toward compliance of the HIPAA security regulations, Heart-Healthy Insurance has assigned its Information Security
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metrics and decision support systems (DSS) in SCM is required to create competitive advantages for an organization. Since Information Technology/Information System (IT/IS) is an integral component of SCM, DSS is inevitable in making available the right information at the right time so that managers can make timely and more accurate decisions. However, there is no best known DSS type that is required to effectively manage a supply chain. A properly designed DSS will help decision makers to extract
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TPS, DSS, and EIS all house sensitive information that is crucial to a company’s success. The overriding theme of these three systems is to aid in improving a company’s efficiency and productivity. Each system accomplishes these goals, increased efficiency and productivity, by specializing in certain aspects of information and combining them to form a progress report so that a company may note its strengths and weaknesses. The three systems (TPS, DSS, and EIS) build off of one another, with TPS
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Explaining the concept of business intelligence and its use in business “BI is about turning data into information” (searchbusinessanalytics.techtarget.com/). The author gives an example that “…plotting spatial data onto a map is…[a] BI because it makes the data much more accessible to the user and therefore turns it into information.” (Ibid.). He adds, “BI systems are … very good at sifting through (and/or aggregating) huge volumes of data and turning it into information.” (Ibid.). (Turban 2013
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SUPPORT SYSTEM Cynthia P. C. Lee Abstract This paper emphasized on the Decision Support System (DSS) defined in various ways depending upon the author’s point of view by Turban (1995), Little (1970), Moore and Chang (1980), Keen (1980), and Power (1997); history of DSS during late 1950s and early 1960s until millennium approached of Web-based analytical applications; the Decision support system (DSS) has been used in many different ways (Alter 1980, Power, 2002). Turban (1995) defines it as "an
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TOPic: DECISION SUPPORT SYSTEMS: AN OVERVIEW AND ITS ROLE IN BUSINESS Introduction A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management, operations, and planning levels of an organization and help to make decisions, which may be rapidly changing and not easily specified in advance. Typical information that a decision support application might gather and present are: * Inventories
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Decision Support System SYNOPSIS DSS Development 1. General idea of design and development process approaches: a. Traditional systems analysis and design, SDLC approach. b. An iterative, speedy prototyping c. Managers can develop their own personal DSS 2. Investigate alternative designs along with the development process approaches a. Building effective DSS is important matter b. Choose an approach that increases the chances of benefits of DSS c. Building a DSS is a difficult task since different
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of decision support systems (DSS) research. To provide context for the analysis, a history of DSS is presented which focuses on the evolution of a number of sub-groupings of research and practice: personal DSS, group support systems, negotiation support systems, intelligent DSS, knowledge management-based DSS, executive information systems/business intelligence, and data warehousing. To understand the state of DSS research an empirical investigation of published DSS research is presented. This investigation
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References: 1. http://www.informationbuilders.com/decision-support-systems-dss 2. http://searchcio.techtarget.com/definition/decision-support-system Discussion 2: Management Information System (MIS) and Decision Support System (DSS) are two important terms of business management. MIS helps linking various disciplines in the business and assist in building the communication among the corporate people, while DSS includes analyzing the data so as to reach the effective and efficient decisions
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