The document discusses data flow diagrams (DFDs) which are used during systems analysis to show how data moves through a system. A DFD diagrams processes, data stores, external entities and data flows. It provides examples of symbols used in DFDs including processes, data flows, data stores and sources/sinks. The document also discusses constructing DFDs at different levels, with level 1 diagrams showing more detail than the initial context level 0 diagram.
The document provides steps and an example for creating data flow diagrams (DFDs). It explains that DFDs are constructed at multiple levels, starting with the context level diagram identifying external entities and processes. Then a level 0 diagram identifies sub-processes, and lower level diagrams show actual data flows and data stores. The example demonstrates creating DFDs to model the processes of a lemonade stand at different levels of detail.
During analysis, it is important to understand how data flows through a system. Data flow diagrams (DFDs) visually show how data is captured, processed, stored, and distributed. DFDs typically have multiple levels, with higher levels providing less detail. To construct a DFD, the analyst identifies data sources and destinations, describes the overall process, and draws the diagram using standard symbols like processes, data stores, and data flows.
The document describes data flow diagrams (DFDs), including how they differ from flowcharts by showing the flow of data rather than control flow. It then provides steps for creating DFDs using an example of a lemonade stand: 1) List activities, 2) Create a context-level DFD identifying sources and sinks, 3) Create a level 0 DFD identifying subprocesses, and 4) Create level 1 DFDs decomposing subprocesses and identifying data stores.
To understand following features:
OPM Inventory conversion.
Material traceability: Enhanced material control
Dual UOM functionality.
Material Status control.
Advanced Lot control.
Lot indivisibility functionality.
Material aging workflow.
The document provides information about the different phases of system development:
1) The Analysis Phase involves problem analysis and identifying user requirements, inputs, processes and outputs.
2) The Design Phase involves planning the system design including creating entity relationship diagrams and determining fields.
3) The Implementation Phase involves creating the database objects like tables, queries, forms and reports.
4) The Testing Phase involves entering test data and testing the functionality and objects.
5) The Documentation Phase involves producing documentation like user manuals and technical documentation.
The document outlines the contents and features of an inventory management system project, including system requirements, data flow diagrams, database specifications, and feasibility studies. It describes the existing manual inventory system, then presents the proposed automated system's 0-level, 1-level, and 2-level data flow diagrams and entity relationship diagram. The database specification defines entity sets for customer, supplier, items, login, and order tables.
The Baan Archiving Toolset (BAT) provides an easy to use toolkit for implementing customized archiving procedures in ERP systems like Baan. It allows users to define archiving procedures by selecting a main table and linked tables, criteria for selecting records, and whether to move, copy, or delete records. BAT then automatically generates a Baan tool procedure script to run the customized archiving based on the defined procedure. This allows archiving processes to be customized for an organization's specific needs without requiring development resources or access to source code.
The document discusses Oracle inventory management. It covers topics such as inventory enterprise structure, inventory setup, creating and maintaining items, inventory controls, inventory transactions, inventory accuracy control, and inventory planning. The inventory enterprise structure defines how transactions flow through different organizations and how those organizations interact. It includes elements such as operating units, legal entities, business groups, sets of books, and inventory organizations.
The document provides steps and an example for creating data flow diagrams (DFDs). It explains that DFDs are constructed at multiple levels, starting with the context level diagram identifying external entities and processes. Then a level 0 diagram identifies sub-processes, and lower level diagrams show actual data flows and data stores. The example demonstrates creating DFDs to model the processes of a lemonade stand at different levels of detail.
During analysis, it is important to understand how data flows through a system. Data flow diagrams (DFDs) visually show how data is captured, processed, stored, and distributed. DFDs typically have multiple levels, with higher levels providing less detail. To construct a DFD, the analyst identifies data sources and destinations, describes the overall process, and draws the diagram using standard symbols like processes, data stores, and data flows.
The document describes data flow diagrams (DFDs), including how they differ from flowcharts by showing the flow of data rather than control flow. It then provides steps for creating DFDs using an example of a lemonade stand: 1) List activities, 2) Create a context-level DFD identifying sources and sinks, 3) Create a level 0 DFD identifying subprocesses, and 4) Create level 1 DFDs decomposing subprocesses and identifying data stores.
To understand following features:
OPM Inventory conversion.
Material traceability: Enhanced material control
Dual UOM functionality.
Material Status control.
Advanced Lot control.
Lot indivisibility functionality.
Material aging workflow.
The document provides information about the different phases of system development:
1) The Analysis Phase involves problem analysis and identifying user requirements, inputs, processes and outputs.
2) The Design Phase involves planning the system design including creating entity relationship diagrams and determining fields.
3) The Implementation Phase involves creating the database objects like tables, queries, forms and reports.
4) The Testing Phase involves entering test data and testing the functionality and objects.
5) The Documentation Phase involves producing documentation like user manuals and technical documentation.
The document outlines the contents and features of an inventory management system project, including system requirements, data flow diagrams, database specifications, and feasibility studies. It describes the existing manual inventory system, then presents the proposed automated system's 0-level, 1-level, and 2-level data flow diagrams and entity relationship diagram. The database specification defines entity sets for customer, supplier, items, login, and order tables.
The Baan Archiving Toolset (BAT) provides an easy to use toolkit for implementing customized archiving procedures in ERP systems like Baan. It allows users to define archiving procedures by selecting a main table and linked tables, criteria for selecting records, and whether to move, copy, or delete records. BAT then automatically generates a Baan tool procedure script to run the customized archiving based on the defined procedure. This allows archiving processes to be customized for an organization's specific needs without requiring development resources or access to source code.
The document discusses Oracle inventory management. It covers topics such as inventory enterprise structure, inventory setup, creating and maintaining items, inventory controls, inventory transactions, inventory accuracy control, and inventory planning. The inventory enterprise structure defines how transactions flow through different organizations and how those organizations interact. It includes elements such as operating units, legal entities, business groups, sets of books, and inventory organizations.
Oracle Inventory is one of Oracle's enterprise applications products that enables companies to define part numbers, model organization structures, track perpetual inventory, maintain accurate on-hand balances, plan material replenishments, and forecast anticipated demand. It provides several key flexfields including system items, item catalogs, item categories, stock locators, and account aliases. The flexfields must be designed and configured before implementing inventory functionality in Oracle.
This document provides an overview of order management training in Oracle Applications. It discusses the basic order process flow from customer request to invoice and highlights key setup steps needed to configure order management. These include defining flexfields, organizations, inventory parameters, profile options, pricing, customers, and more. The document also explains how to create sales orders and covers topics like back orders, returns, drop shipments, and internal sales orders.
The document discusses data migration from legacy systems to SAP using the Legacy System Migration Workbench (LSMW). It describes LSMW as a tool that supports importing data from non-SAP systems into R/3 via methods like batch input, direct input, BAPIs, and IDocs. The key steps for using LSMW are outlined as 1) selecting a project and object, 2) executing to view the process steps, and 3) proceeding through each step which may include importing, converting, and importing data into the SAP database. Common import methods and their advantages/disadvantages are also summarized.
Compiere Warehouse Management System DocumentationMehmet Demirel
This document about is Compiere Warehouse Management System (WMS) functionality. Compiere is Warehouse Management Software. Compiere is Warehouse Management Solution.
This document provides an overview of inventory organization structures in Oracle Inventory. It discusses how to set up locations, define organizations and subinventories, and establish multi-organization structures. It also covers inventory parameters, costing methods, revision and serial number tracking, availability and sourcing rules. The document summarizes organization reports, profile options, and the relationships between items, attributes, statuses, and templates.
This document provides an overview of the key transactions and processes used in process manufacturing in SAP. It describes the master data needed such as materials, resources, recipes, quality inspection characteristics, and quality plans. It then outlines the basic production cycle including creating a process order, goods issue, confirmation, goods receipt, quality approval, and stock release. Key transactions referenced include COR1, MIGO, CORK, QA32, and more. The production cycle explained focuses on production and quality management for a process manufacturing company.
R12 features presentation inventory managementAmine Gallah
Oracle Inventory Management R12 includes several new features and enhancements:
1) It allows for more granular control over material statuses at the subinventory, locator, lot, and serial number levels. 2) Lot genealogy tracking and controls have been expanded with new attributes and views. 3) Purchasing can be done by revision for both revision-controlled and non-revision controlled items. 4) Inventory transactions can be done using dual units of measure. 5) Material aging workflows automatically monitor expiration and retest dates. 6) Reservations now support expected supplies like purchase orders. 7) Packing slips can be printed for internal transactions like inter-org transfers.
The context diagram shows the Order Processing System at the center with external entities including the Kitchen, Restaurant, and Customer. The key processes are Customer Order, Receipt, Food Order, and Management Report, with data flowing between the system and external entities.
BTEC National in ICT: Unit 3 - Introduction in Accessmrcox
This document provides information about creating a training pack to teach members of a company's MIS department how to run queries and reports on the company database using Microsoft Access. It describes a sample Access database containing tables of fitness instructor details and class schedules that employees can use to practice queries. The training pack should aim to teach complete beginners how to explore the database and generate sample queries and reports.
BTEC National in ICT: Unit 3 - Data vs Informationmrcox
This document discusses the differences between data and information. It states that data is raw facts and figures without context, while information is data that has been processed and given meaning by being placed in a context. It provides examples of how raw data can be processed and given context to derive useful information. The document also covers topics like quantitative vs qualitative data, characteristics of good information, data collection techniques, sources of internal and external information, how organizations use business information, information flows, management information, legal and ethical issues related to information, and security of information.
Information systems use tools like databases, artificial intelligence/expert systems, the internet, data warehousing, data mining, and predictive modeling. Databases organize related information for storage and retrieval. Artificial intelligence uses rules to help systems perform tasks like human experts. The internet allows access to information and online commerce. Other tools analyze past data patterns, predict future behavior, and help organizations make decisions.
BTEC National in ICT: Unit 3 - Data Flow Diagrams Introductionmrcox
This document provides an overview of data flow diagrams (DFDs) and structured analysis. It defines DFDs as tools that model how information flows through a system and is processed. The document outlines the basic symbols used in DFDs, including external entities, data flows, data stores, and processes. It also explains how to draw context diagrams at the highest level and then refine them to more detailed lower levels through decomposition. The goal of DFDs is to hierarchically break down a system into independent, understandable components.
The document provides information on data flow diagrams (DFDs), including how to construct multi-level DFDs through context diagrams, level 0 diagrams, and lower level diagrams. It gives steps for developing DFDs, including identifying external entities, major processes, and data flows. Examples are provided to demonstrate a DFD for a home security system and a lemonade stand business.
This document provides an overview of object-oriented analysis and design. It defines key terms and concepts in object-oriented modeling like use cases, class diagrams, states, sequences. It describes developing requirements models using use cases and class diagrams. It also explains modeling object behavior through state and sequence diagrams and transitioning analysis models to design.
This document defines a data flow diagram (DFD) and its components. A DFD is a graphical representation of how data flows through a system. It shows external entities, processes, data stores, and data flows. External entities interact with the system, processes manipulate data, data stores hold data, and data flows show the movement of data. The document provides examples of DFD symbols and components. It also explains that DFDs can be leveled to show more detail at each level, with level 0 providing an overview and higher levels showing more granular processes.
Structured Vs, Object Oriented Analysis and DesignMotaz Saad
This document discusses structured vs object-oriented analysis and design (SAD vs OOAD) for software development. It outlines the phases and modeling techniques used in SAD like data flow diagrams, decision tables, and entity relationship diagrams. It also outlines the phases and modeling techniques used in OOAD like use cases, class diagrams, sequence diagrams, and state machine diagrams. The document compares key differences between SAD and OOAD, discusses textbooks on software engineering and UML, and references papers on using UML in practice and evaluating the impact and costs/benefits of UML in software maintenance.
Object-oriented analysis and design (OOAD) is a popular approach for analyzing, designing, and developing applications using the object-oriented paradigm. It involves modeling a system as a group of interacting objects at various levels of abstraction. Key concepts in OOAD include objects, classes, attributes, methods, encapsulation, inheritance, polymorphism, and relationships like association, aggregation, and composition. Common OOAD techniques include use case diagrams, which show interactions between actors and the system, and class diagrams, which describe the structure and behavior of system objects and their relationships.
The document discusses use case diagrams and use case descriptions for modeling system requirements. It covers drawing use case diagrams to show functional requirements and actors, common mistakes, and writing use case descriptions including basic, alternate, and exception flows of events. The document provides examples and exercises to help understand use cases for requirements modeling.
Oracle Inventory is one of Oracle's enterprise applications products that enables companies to define part numbers, model organization structures, track perpetual inventory, maintain accurate on-hand balances, plan material replenishments, and forecast anticipated demand. It provides several key flexfields including system items, item catalogs, item categories, stock locators, and account aliases. The flexfields must be designed and configured before implementing inventory functionality in Oracle.
This document provides an overview of order management training in Oracle Applications. It discusses the basic order process flow from customer request to invoice and highlights key setup steps needed to configure order management. These include defining flexfields, organizations, inventory parameters, profile options, pricing, customers, and more. The document also explains how to create sales orders and covers topics like back orders, returns, drop shipments, and internal sales orders.
The document discusses data migration from legacy systems to SAP using the Legacy System Migration Workbench (LSMW). It describes LSMW as a tool that supports importing data from non-SAP systems into R/3 via methods like batch input, direct input, BAPIs, and IDocs. The key steps for using LSMW are outlined as 1) selecting a project and object, 2) executing to view the process steps, and 3) proceeding through each step which may include importing, converting, and importing data into the SAP database. Common import methods and their advantages/disadvantages are also summarized.
Compiere Warehouse Management System DocumentationMehmet Demirel
This document about is Compiere Warehouse Management System (WMS) functionality. Compiere is Warehouse Management Software. Compiere is Warehouse Management Solution.
This document provides an overview of inventory organization structures in Oracle Inventory. It discusses how to set up locations, define organizations and subinventories, and establish multi-organization structures. It also covers inventory parameters, costing methods, revision and serial number tracking, availability and sourcing rules. The document summarizes organization reports, profile options, and the relationships between items, attributes, statuses, and templates.
This document provides an overview of the key transactions and processes used in process manufacturing in SAP. It describes the master data needed such as materials, resources, recipes, quality inspection characteristics, and quality plans. It then outlines the basic production cycle including creating a process order, goods issue, confirmation, goods receipt, quality approval, and stock release. Key transactions referenced include COR1, MIGO, CORK, QA32, and more. The production cycle explained focuses on production and quality management for a process manufacturing company.
R12 features presentation inventory managementAmine Gallah
Oracle Inventory Management R12 includes several new features and enhancements:
1) It allows for more granular control over material statuses at the subinventory, locator, lot, and serial number levels. 2) Lot genealogy tracking and controls have been expanded with new attributes and views. 3) Purchasing can be done by revision for both revision-controlled and non-revision controlled items. 4) Inventory transactions can be done using dual units of measure. 5) Material aging workflows automatically monitor expiration and retest dates. 6) Reservations now support expected supplies like purchase orders. 7) Packing slips can be printed for internal transactions like inter-org transfers.
The context diagram shows the Order Processing System at the center with external entities including the Kitchen, Restaurant, and Customer. The key processes are Customer Order, Receipt, Food Order, and Management Report, with data flowing between the system and external entities.
BTEC National in ICT: Unit 3 - Introduction in Accessmrcox
This document provides information about creating a training pack to teach members of a company's MIS department how to run queries and reports on the company database using Microsoft Access. It describes a sample Access database containing tables of fitness instructor details and class schedules that employees can use to practice queries. The training pack should aim to teach complete beginners how to explore the database and generate sample queries and reports.
BTEC National in ICT: Unit 3 - Data vs Informationmrcox
This document discusses the differences between data and information. It states that data is raw facts and figures without context, while information is data that has been processed and given meaning by being placed in a context. It provides examples of how raw data can be processed and given context to derive useful information. The document also covers topics like quantitative vs qualitative data, characteristics of good information, data collection techniques, sources of internal and external information, how organizations use business information, information flows, management information, legal and ethical issues related to information, and security of information.
Information systems use tools like databases, artificial intelligence/expert systems, the internet, data warehousing, data mining, and predictive modeling. Databases organize related information for storage and retrieval. Artificial intelligence uses rules to help systems perform tasks like human experts. The internet allows access to information and online commerce. Other tools analyze past data patterns, predict future behavior, and help organizations make decisions.
BTEC National in ICT: Unit 3 - Data Flow Diagrams Introductionmrcox
This document provides an overview of data flow diagrams (DFDs) and structured analysis. It defines DFDs as tools that model how information flows through a system and is processed. The document outlines the basic symbols used in DFDs, including external entities, data flows, data stores, and processes. It also explains how to draw context diagrams at the highest level and then refine them to more detailed lower levels through decomposition. The goal of DFDs is to hierarchically break down a system into independent, understandable components.
The document provides information on data flow diagrams (DFDs), including how to construct multi-level DFDs through context diagrams, level 0 diagrams, and lower level diagrams. It gives steps for developing DFDs, including identifying external entities, major processes, and data flows. Examples are provided to demonstrate a DFD for a home security system and a lemonade stand business.
This document provides an overview of object-oriented analysis and design. It defines key terms and concepts in object-oriented modeling like use cases, class diagrams, states, sequences. It describes developing requirements models using use cases and class diagrams. It also explains modeling object behavior through state and sequence diagrams and transitioning analysis models to design.
This document defines a data flow diagram (DFD) and its components. A DFD is a graphical representation of how data flows through a system. It shows external entities, processes, data stores, and data flows. External entities interact with the system, processes manipulate data, data stores hold data, and data flows show the movement of data. The document provides examples of DFD symbols and components. It also explains that DFDs can be leveled to show more detail at each level, with level 0 providing an overview and higher levels showing more granular processes.
Structured Vs, Object Oriented Analysis and DesignMotaz Saad
This document discusses structured vs object-oriented analysis and design (SAD vs OOAD) for software development. It outlines the phases and modeling techniques used in SAD like data flow diagrams, decision tables, and entity relationship diagrams. It also outlines the phases and modeling techniques used in OOAD like use cases, class diagrams, sequence diagrams, and state machine diagrams. The document compares key differences between SAD and OOAD, discusses textbooks on software engineering and UML, and references papers on using UML in practice and evaluating the impact and costs/benefits of UML in software maintenance.
Object-oriented analysis and design (OOAD) is a popular approach for analyzing, designing, and developing applications using the object-oriented paradigm. It involves modeling a system as a group of interacting objects at various levels of abstraction. Key concepts in OOAD include objects, classes, attributes, methods, encapsulation, inheritance, polymorphism, and relationships like association, aggregation, and composition. Common OOAD techniques include use case diagrams, which show interactions between actors and the system, and class diagrams, which describe the structure and behavior of system objects and their relationships.
The document discusses use case diagrams and use case descriptions for modeling system requirements. It covers drawing use case diagrams to show functional requirements and actors, common mistakes, and writing use case descriptions including basic, alternate, and exception flows of events. The document provides examples and exercises to help understand use cases for requirements modeling.
The document discusses data flow diagrams (DFDs), including their purpose, components, levels, and how to construct them. DFDs model the flow of data through a system and are made up of external entities, processes, data stores, and data flows. They are constructed at multiple levels of detail, with level 0 providing an overview and level 1 diagrams decomposing level 0 processes. The document provides an example of constructing DFDs for a lemonade stand system to demonstrate the key steps of identifying activities, creating a context diagram, developing a level 0 diagram, and decomposing into level 1 diagrams.
This document provides an overview of the different update modes for logistics extraction in SAP BI: direct delta, queued delta, and unserialized V3 update. It explains the concepts, benefits, and use cases of each update mode. The direct delta mode transfers extracted data directly to the delta queue with each document posting. The queued delta mode collects extracted data in an extraction queue and transfers it to the delta queue in batches. The unserialized V3 update writes extracted data to update tables and transfers it to the delta queue without regard to sequence.
The document discusses techniques for developing computer systems, including structured systems analysis and design method (SSADM) and data flow diagrams (DFDs). It provides details on the stages of SSADM and the symbols and steps used to develop DFDs. An example of a hotel reservation and payment system is presented as a DFD to illustrate the technique. Project management is also discussed, with an example of building a bungalow broken down into tasks, durations, and dependencies shown in a graph.
The document describes different aspects of data extraction and loading processes in SAP BW. It includes:
1. Typical master data and transactional data extraction cycles involving extracting from source systems, loading into the PSA and master data tables, executing change runs and updating aggregates.
2. Event scheduling using either a pull or push principle to trigger extractions from source systems.
3. An overview of the dataflow showing how source systems, extractors, transfer structures and more are involved in extracting and loading data.
This document provides a step-by-step procedure for testing an SAP BW solution. It outlines the testing approaches, including unit, integration, functional, and regression testing. It describes testing the connectivity, data flows, objects, and custom code. Challenges include integrating BW with other systems and extensive customization. Reconciliation is performed between BW and source systems like ECC as well as within BW layers and target systems like BOBJ.
The document discusses data flow diagrams (DFDs) and provides a step-by-step example of creating DFDs for a lemonade stand system. It explains that DFDs graphically show the flow of data through a system and can be used to visualize data processing. The example demonstrates creating a context-level DFD showing external entities, a level-0 DFD identifying key processes, and a level-1 DFD decomposing those processes and identifying data stores.
The document discusses new features in SAP BW 7.3 including semantically partitioned infoproviders, hybrid providers, improved data flow capabilities, and enhanced integration with SAP BusinessObjects. Semantically partitioned infoproviders allow dividing data models into equally sized partitions for improved scalability and maintenance. Hybrid providers combine historic data in an infocube with real-time data from a virtual provider or datastore for near real-time reporting. New data flow tools provide a wizard for modeling, copying, and migrating data flows. Integration with SAP BusinessObjects allows OLAP analysis directly within Microsoft Office applications.
The document discusses several concepts for structuring systems including span of control, hierarchical structures, data flow diagrams, and transaction analysis. It provides examples of structure diagrams that decompose a system for processing client orders into smaller modules at different levels based on these concepts.
This document discusses the LO extraction update logic in SAP. It explains that updates occur asynchronously through update work processes. The update is divided into critical V1 modules and less critical V2 modules, with V1 updates occurring first in a single transaction and V2 updates separately. An update request contains the update header, V1 modules, V2 modules, and collective runs, with the corresponding data stored in database tables VBHDR, VBMOD, and VBDATA.
The document describes the steps to create data flow diagrams using a lemonade stand example. It explains that the first step is to create a list of activities, then construct a context-level diagram identifying external entities and processes. Next, a level 0 diagram identifies sub-processes, and then level 1 diagrams decompose the sub-processes and identify data flows and data stores. The example shows constructing context, level 0, and multiple level 1 diagrams to map out the processes of taking customer orders, producing and storing lemonade, procuring supplies, and processing payroll for a lemonade stand.
The document describes Data Flow Diagrams (DFDs) and their components. DFDs show the flow of data in and out of processes and data stores within a system. The key components of a DFD are processes, data flows, data stores, and external entities. Processes represent actions performed on the data, data flows show the movement of data between components, data stores hold the data, and external entities are outside the system. The document provides examples and rules for how to represent these components in a DFD.
The document provides information about the testing phase of database system development. In this phase, system developers and users test the database to ensure it is functioning correctly and free of errors. Key aspects of testing include entering test data, validating that database objects like tables, queries, forms and reports are working as intended, and testing overall system functionality. The goal of testing is to identify any issues and ensure the quality of the database before it is implemented.
The document provides information about the testing phase of database system development. In this phase, system developers and users test the database to ensure it is functioning correctly and free of errors. Tests are conducted on data entry, individual database objects like tables, forms and reports, as well as the overall functionality of the system. The goal is to identify any issues and ensure the quality of the database before deployment.
The document provides information about the testing phase of database system development. In this phase, system developers and users test the database to ensure it is functioning correctly and free of errors. Key aspects of testing include entering test data, validating that database objects like tables, queries, forms and reports are working as intended, and testing the overall functionality and performance of the system. The goal of testing is to identify any issues and ensure the quality of the database before it is implemented.
The document outlines a 60 minute demo on SAP Business Intelligence/Analytics. It includes 15 units that will cover topics such as an overview of SAP ERP, SAP BW, data modeling in BW, data acquisition, BW content, front end solutions like BEX, query performance optimization, administration, and integrated solutions with Business Objects. The contact for the demo is provided. The document aims to provide a comprehensive introduction to SAP BI and BW concepts, technologies, and usage.
In this webinar, we will take a look on deploying Power BI Report in Dynamics 365 FOE using Entity Store and its entire configuration. We will take a look on how to create Analytics elements and discuss how to refresh it in Operations for using as DirectQuery. This will include configurations of Power BI report in D365 FOE workspaces.
BTEC National in ICT: Unit 3 - Operational Issuesmrcox
The document discusses several operational issues related to information systems including security, backups, health and safety, organization policies, business continuity planning, costs, and the increasing sophistication of modern systems. Key points include the need to dictate secure access to data, regularly back up information, follow appropriate ergonomic practices, manage costs through a business case, and provide more training as systems become more complex.
BTEC National in ICT: Unit 3 - Ethical Issuesmrcox
Many organizations have codes of practice that define acceptable uses of computing facilities, with the main use being to support the organization's purpose. These codes often permit limited personal use and ban threatening emails or spam. They also restrict access to inappropriate websites and control web server content, while protecting employees who report other users' misuse. Organizational policies state how information is treated, such as restricting access to authorized personnel only, and data ownership lies with the departments that produce it, not the IT department that sets up systems.
BTEC National in ICT: Unit 3 - Legal Constraintsmrcox
This document summarizes key UK legislation constraining the use of customer data and information technology, including the Data Protection Act of 1984/1998, Computer Misuse Act of 1990, and regulations around health and safety. It outlines principles of fair and lawful processing of personal data, requirements for data controllers to register and comply with subject access rights, and exemptions for certain data types and uses. Offenses related to hacking, viruses, copyright infringement and unauthorized access or modification of data and systems are also defined.
BTEC National in ICT: Unit 3 - MIS Features and Functionsmrcox
An information system has four main functions: input, storage, processing, and output. There is often a feedback loop so the system output can affect future input. An information system takes in detailed data through input, stores and processes it, and produces output information. The output can then provide feedback to users to influence future inputs into the system and analyses requested. Key elements that make up an information system include data, people, hardware, software, and telecommunications infrastructure.
BTEC National in ICT: Unit 3 - Functional Areas in more detail - Tescomrcox
This document discusses the key functional areas within businesses and how they interact. It describes operational, tactical, and strategic levels of information and how information flows internally and externally. The main functional areas covered are human resources, finance, administration, IT support, operations, marketing, sales, customer service, and research and development. It explains the purpose and interdependence of each area. Organizational structure and how departments rely on each other is also addressed.
BTEC National in ICT: Unit 3 - Functional Areas of Xpectmrcox
The document describes several departments and external organizations that interact with Xpect Gym and Leisure. The Finance Department keeps financial records, sets budgets, and balances income and expenses. The Administration Department handles administrative tasks like correspondence, filing, and reception duties. The Personnel Department manages staff records, contracts, hiring, and training. The Sales and Marketing Department is responsible for sales, advertising, marketing materials, and the company website. The IT Department maintains the computer network and database system. External organizations that interact with the company include suppliers, the government, professional bodies, and unions.
This document discusses information systems and data gathering. It covers direct and indirect sources of data, how data is coded for storage and analysis, benefits and drawbacks of coding, and how the quality of the original data source impacts the quality of the resulting information through the concept of "garbage in, garbage out".
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
BTEC National in ICT: Unit 3 - More on DFDs
1. Identifying Data Flows
During the analysis stage of a project it is important
to find out how data flows through a system:
± Where does the data originate
± What processing is performed on it and by whom
± Who uses the data
± What data is stored and where
± What output is produced and who receives it
2. DATA FLOW DIAGRAMS
[DFD’S]
± A diagram to show how data is captured,
processed , stored and distributed within a
system.
± This is generally represented during the
analysis stage of a project, but can be further
refined during the design stage to show more
detail of how the system functions.
3. SYMBOLS USED IN A DFD
± PROCESS
Actions performed on data so that
they are transformed, stored or
distributed. This can be a
computerised or manual
transformation
± DATA FLOW
E.g. Result of a query to a database,
contents of a printed report : data
that moves together to common
destinations
4. SYMBOLS USED IN A DFD
± DATA STORE
A physical location to hold data
e.g. a file folder or notebook etc.
± SOURCE/SINK
Origin and/or destination of the
data. Often referred to as external
entities as they are outside the
system. We are only interested in
how data flows in to or from the
system to them.
5. How Much Detail ?
± It is often impossible to represent a complete
business on one diagram. For this reason it is quite
common to use more than one level of Data Flow
Diagram with each level showing more detailed
information about part of the previous diagram.
± It is important that the diagram should be made
as clear as possible and for this reason it is not
uncommon to draw the same source or sink
[external entity] more than once to help achieve
this.
6. Context or Level 0 Diagram
The highest level view of a system. This only
has one process which represents the overall
function of the system and has no data stores
as all the data is stored within the process.
Main steps when constructing a Level 0 Diagram :
± Identify where data is captured from
± Identify where data is distributed to
± Describe the overall process
± Map these out in a diagram using the correct symbols
± Link them with data flows that are labelled
7. Constructing a Level 1 diagram
± Identify and draw the processes that make up
the Level 0 process
± Allocate descriptions to these
± Lay out the sources/sinks and data flows from
the Level 0 diagram
± Draw in any data stores used in the process
± Link the new processes and data stores with
named data links
8. Constructing a Level 2/3 diagram
IF it is necessary to produce a level
2 or level 3 diagram, the same steps
would be followed as used when
constructing the Level 1 diagram
9. Here is an example of how Data
flow diagrams would be used to
model the logic of data flows in a
fast food burger bar.
1. Context or Level 0 Diagram
± Identify where data is captured from
± Identify where data is distributed to
± Describe the overall process
± Map these out in a diagram using the correct
symbols
± Link them with data flows that are labelled
11. ± Identify where data is captured from
± Identify where data is distributed to
± Describe the overall process
± Map these out in a diagram using the correct
symbols
± Link them with data flows that are labelled
13. ± Identify where data is captured from
± Identify where data is distributed to
± Describe the overall process
± Map these out in a diagram using the
correct symbols
± Link them with data flows that are labelled
15. ± Identify where data is captured from
± Identify where data is distributed to
± Describe the overall process
± Map these out using the correct symbols
± Link them with data flows that are labelled
16. Level 0 Context diagram
CUSTOMER KITCHEN
0
Customer Order
Food
ordering
Food Order
system
Receipt
Management
Reports
RESTAURANT
MANAGER
17. Constructing a Level 1 diagram
± Identify and draw the processes that make up
the Level 0 process
± Allocate descriptions to these
± Lay out the sources/sinks and data flows from
the Level 0 diagram
± Draw in any data stores used in the process
± Link the new processes and data stores with
named data links
18. Level 0 Context diagram
CUSTOMER KITCHEN
0
Customer Order
Food
ordering
Food Order
system
Receipt
Management
Reports
Does this show
enough detail? RESTAURANT
MANAGER
19. Constructing a Level 1 diagram
±Identify and draw the processes
that make up the Level 0 process
±Allocate descriptions to these
±Lay out the sources/sinks and data flows
from the Level 0 diagram
±Draw in any data stores used in the process
±Link the new processes and data stores
with named data links
20. Level 1 diagram
These new processes may show a process
which corresponds to actions such as :
±Capturing data from different sources
±Maintaining data stores
±Producing and distributing data to different
sinks
22. Level 1 diagram
These may show a process which corresponds
to actions such as :
±Capturing data from different sources
±Maintaining data stores
±Producing and distributing data to different
sinks
23. 1.0
Receive and
transform
Customer Food
Order
3.0 2.0
Update Update
Goods Inventory
Sold file file
24. Level 1 diagram
These may show a process which corresponds
to actions such as :
±Capturing data from different sources
±Maintaining data stores
±Producing and distributing data to
different sinks
25. 1.0
Receive and
transform
Customer Food
Order
3.0 2.0
Update Update
Goods Inventory
Sold file file
4.0
Produce
Management
Reports
26. Constructing a Level 1 diagram
±Identify and draw the processes that make
up the Level 0 process
±Allocate descriptions to these
±Lay out the sources/sinks and data flows
from the Level 0 diagram
±Draw in any data stores used in the process
±Link the new processes and data stores
with named data links
27. CUSTOMER KITCHEN
1.0
Customer Order Receive and
transform
Customer Food Food Order
Order
Receipt
3.0 2.0
Update Update
Goods Inventory
Sold file file
4.0
Produce
Management
Reports
RESTAURANT
Management MANAGER
Reports
28. Constructing a Level 1 diagram
±Identify and draw the processes that make
up the Level 0 process
±Allocate descriptions to these
±Lay out the sources/sinks and data flows
from the Level 0 diagram
±Draw in any data stores used in
the process
±Link the new processes and data stores
with named data links
29. CUSTOMER KITCHEN
1.0
Customer Order Receive and
transform
Customer Food Food Order
Order
Receipt
3.0 2.0
Update Update
Goods Inventory
Sold file file
D2 Inventory File
D1 Goods Sold
4.0
File
Produce
Management
Reports
RESTAURANT
Management MANAGER
Reports
30. Constructing a Level 1 diagram
±Identify and draw the processes that make
up the Level 0 process
±Allocate descriptions to these
±Lay out the sources/sinks and data flows
from the Level 0 diagram
±Draw in any data stores used in the process
±Link the new processes and data
stores with named data links
31. CUSTOMER KITCHEN
1.0
Customer Order Receive and
transform
Customer Food Food Order
Order
Receipt
Goods Inventory
3.0 Sold Data 2.0
Update Update Inventory Data
Goods Inventory
Goods Sold file file
Sold Data
D2 Inventory File
D1 Goods Sold
4.0
File
Produce
Daily Goods Sold Management Daily Inventory Depletion Amounts
Amount Reports
RESTAURANT
Management MANAGER
Reports
32. In this example, having
constructed our Level 1 diagram
it is decided there is no need to
further breakdown the data flow
processes within this
organisation. Our data flow
diagram is therefore complete.