Transaction Process System,
Transaction Process Cycle,
Group Decision Support System (GDSS),
Group Decision Support System (GDSS) and it's Software tools
This document provides an overview of information systems including:
1. The definition of an information system as a set of interconnected people, technology, and processes to collect, process, store, and distribute information to help coordination, analysis, and decision making.
2. The need for efficient information systems to store data securely, enhance decision making and productivity, and provide data analytics tools.
3. The main types of information systems including transaction processing systems, management information systems, decision support systems, and expert systems.
4. The information requirements for planning including monitoring, evaluation, and careful planning before projects.
5. The importance of coordination and control at various levels of business and industry to harmonize activities
The document discusses e-business systems and their key components and functions. It describes how different functional areas of an organization work together using enterprise applications like ERP, SCM, and CRM software. These applications help integrate internal business processes with customers and suppliers. The applications are interconnected through enterprise application integration software to allow seamless data exchange between different systems based on business process models. Transaction processing systems capture data from business events and process it in real-time or in batches to update databases and generate documents. Enterprise collaboration systems enhance communication, coordination, and collaboration across teams through tools like email, videoconferencing, and databases.
Management information systems (MIS) produce reports from transaction data to inform managers' structured and semi-structured decisions. MIS gather internal and external data, process and store it centrally, and make it available to authorized users. They support functions like decision support systems, resource planning, and customer relationship management. MIS help identify business process improvements and provide overall business insights through data analysis.
Decision support systems and business intelligenceShwetabh Jaiswal
The document discusses decision support systems and business intelligence. It describes how business environments have become more complex, requiring faster and better decision-making supported by computerized systems. Business intelligence involves transforming raw data into useful information to enable strategic, tactical and operational insights. Decision support systems couple individual expertise with computer capabilities to improve decision quality for semi-structured problems.
Business intelligence environments involve collecting data from various sources, transforming and organizing it using tools like ETL, and storing it in data warehouses or marts. This data is then analyzed using OLAP and reporting tools to provide useful information for business decisions. Setting up an effective BI environment requires understanding business requirements, defining processes, determining data needs, integrating data sources, and selecting appropriate tools and techniques. Careful planning and skilled people are needed to ensure the BI environment supports organizational goals.
1.Types of Computer Information SystemsThere are four basic type.pdfarccreation001
1.
Types of Computer Information Systems
There are four basic types of computer-based information Systems:
Transaction Processing Systems (TPS)
Record day-to-day transactions such as customer orders, bills, inventory.
Helps supervisors by generating databases needed for other information Systems.
Examples: recording customer orders, bills, inventory levels, and production output.
Management Information Systems (MIS)
Summarizes the detailed data of the transaction processing system.
Produces standard reports for middle-level managers.
Examples: Production schedule and budget summaries.
Decision Support Systems (DSS)
Draws on the detailed data of the transaction processing system.
Provides a flexible tool for middle-level managers for analysis.
Examples: Analyzing the effects of events such as strikes, rising interest rates, etc.
Executive Support Systems (ESS)
Presents information in a very highly summarized form.
Combines the internal data from TPS and MIS with external data.
Helps top-level managers oversee operations and develop strategic plans.
Examples: Introducing new products, starting a company wide cost control program, etc.
2. Benifits:
1. Enabling better and faster decision making
By delivering relevant information at the time of need through structure, search, subscription,
syndication, and support, a knowledge management environment can provide the basis for
making good decisions. Collaboration brings the power of large numbers, diverse opinions, and
varied experience to bear when decisions need to be made. The reuse of knowledge in
repositories allows decisions be based on actual experience, large sample sizes, and practical
lessons learned.
2. Making it easy to find relevant information and resources
When faced with a need to respond to a customer, solve a problem, analyze trends, assess
markets, benchmark against peers, understand competition, create new offerings, plan strategy,
and to think critically, you typically look for information and resources to support these
activities. If it is easy and fast to find what you need when you need it, you can perform all of
these tasks efficiently.
3. Reusing ideas, documents, and expertise
Once you have developed an effective process, you want to ensure that others use the process
each time a similar requirement arises. If someone has written a document or created a
presentation which addresses a recurring need, it should be used in all future similar situations.
When members of your organization have figured out how to solve a common problem, know
how to deliver a recurring service, or have invented a new product, you want that same solution,
service, and product to be replicated as much as possible. Just as the recycling of materials is
good for the environment, reuse is good for organizations because it minimizes rework, prevents
problems, saves time, and accelerates progress.
4. Avoiding redundant effort
No one likes to spend time doing something over again. But they do so all the .
Decision support systems and business intelligenceShwetabh Jaiswal
This document discusses decision support systems and business intelligence. It describes how the modern business environment requires computerized systems to help with complex decision making. Business intelligence transforms raw data into useful information through methodologies, processes and technologies. Decision support systems couple individual expertise with computer capabilities to improve decision quality for semi-structured problems. Both systems use similar architectures of data warehouses, analytics, and user interfaces to enable analysis and informed decisions.
This document provides an overview of information systems including:
1. The definition of an information system as a set of interconnected people, technology, and processes to collect, process, store, and distribute information to help coordination, analysis, and decision making.
2. The need for efficient information systems to store data securely, enhance decision making and productivity, and provide data analytics tools.
3. The main types of information systems including transaction processing systems, management information systems, decision support systems, and expert systems.
4. The information requirements for planning including monitoring, evaluation, and careful planning before projects.
5. The importance of coordination and control at various levels of business and industry to harmonize activities
The document discusses e-business systems and their key components and functions. It describes how different functional areas of an organization work together using enterprise applications like ERP, SCM, and CRM software. These applications help integrate internal business processes with customers and suppliers. The applications are interconnected through enterprise application integration software to allow seamless data exchange between different systems based on business process models. Transaction processing systems capture data from business events and process it in real-time or in batches to update databases and generate documents. Enterprise collaboration systems enhance communication, coordination, and collaboration across teams through tools like email, videoconferencing, and databases.
Management information systems (MIS) produce reports from transaction data to inform managers' structured and semi-structured decisions. MIS gather internal and external data, process and store it centrally, and make it available to authorized users. They support functions like decision support systems, resource planning, and customer relationship management. MIS help identify business process improvements and provide overall business insights through data analysis.
Decision support systems and business intelligenceShwetabh Jaiswal
The document discusses decision support systems and business intelligence. It describes how business environments have become more complex, requiring faster and better decision-making supported by computerized systems. Business intelligence involves transforming raw data into useful information to enable strategic, tactical and operational insights. Decision support systems couple individual expertise with computer capabilities to improve decision quality for semi-structured problems.
Business intelligence environments involve collecting data from various sources, transforming and organizing it using tools like ETL, and storing it in data warehouses or marts. This data is then analyzed using OLAP and reporting tools to provide useful information for business decisions. Setting up an effective BI environment requires understanding business requirements, defining processes, determining data needs, integrating data sources, and selecting appropriate tools and techniques. Careful planning and skilled people are needed to ensure the BI environment supports organizational goals.
1.Types of Computer Information SystemsThere are four basic type.pdfarccreation001
1.
Types of Computer Information Systems
There are four basic types of computer-based information Systems:
Transaction Processing Systems (TPS)
Record day-to-day transactions such as customer orders, bills, inventory.
Helps supervisors by generating databases needed for other information Systems.
Examples: recording customer orders, bills, inventory levels, and production output.
Management Information Systems (MIS)
Summarizes the detailed data of the transaction processing system.
Produces standard reports for middle-level managers.
Examples: Production schedule and budget summaries.
Decision Support Systems (DSS)
Draws on the detailed data of the transaction processing system.
Provides a flexible tool for middle-level managers for analysis.
Examples: Analyzing the effects of events such as strikes, rising interest rates, etc.
Executive Support Systems (ESS)
Presents information in a very highly summarized form.
Combines the internal data from TPS and MIS with external data.
Helps top-level managers oversee operations and develop strategic plans.
Examples: Introducing new products, starting a company wide cost control program, etc.
2. Benifits:
1. Enabling better and faster decision making
By delivering relevant information at the time of need through structure, search, subscription,
syndication, and support, a knowledge management environment can provide the basis for
making good decisions. Collaboration brings the power of large numbers, diverse opinions, and
varied experience to bear when decisions need to be made. The reuse of knowledge in
repositories allows decisions be based on actual experience, large sample sizes, and practical
lessons learned.
2. Making it easy to find relevant information and resources
When faced with a need to respond to a customer, solve a problem, analyze trends, assess
markets, benchmark against peers, understand competition, create new offerings, plan strategy,
and to think critically, you typically look for information and resources to support these
activities. If it is easy and fast to find what you need when you need it, you can perform all of
these tasks efficiently.
3. Reusing ideas, documents, and expertise
Once you have developed an effective process, you want to ensure that others use the process
each time a similar requirement arises. If someone has written a document or created a
presentation which addresses a recurring need, it should be used in all future similar situations.
When members of your organization have figured out how to solve a common problem, know
how to deliver a recurring service, or have invented a new product, you want that same solution,
service, and product to be replicated as much as possible. Just as the recycling of materials is
good for the environment, reuse is good for organizations because it minimizes rework, prevents
problems, saves time, and accelerates progress.
4. Avoiding redundant effort
No one likes to spend time doing something over again. But they do so all the .
Decision support systems and business intelligenceShwetabh Jaiswal
This document discusses decision support systems and business intelligence. It describes how the modern business environment requires computerized systems to help with complex decision making. Business intelligence transforms raw data into useful information through methodologies, processes and technologies. Decision support systems couple individual expertise with computer capabilities to improve decision quality for semi-structured problems. Both systems use similar architectures of data warehouses, analytics, and user interfaces to enable analysis and informed decisions.
An information system is a combination of hardware, software, infrastructure, and trained personnel that facilitates planning, control, coordination, and decision making within an organization. It turns raw data into useful information through organizing, processing, and analyzing the data stored in databases. Typical components of an information system include hardware, software, databases, networks, and procedures. Information systems support management activities like monitoring operations, achieving goals, and adapting to environmental trends to aid decision making.
Information Systems in Global Business Today.pptxRoshni814224
The document discusses the role of information systems in business today. It describes how information systems are transforming business through emerging technologies like mobile platforms, big data, and cloud computing. Information systems help businesses achieve strategic objectives like operational excellence, new products/services, customer intimacy, improved decision making, competitive advantage and survival. The growth of information technology investment from 32% to 52% of capital between 1980-2009 is also noted. Key topics covered include digital business processes, strategic uses of information systems, and how systems and business capabilities are interdependent.
Business Intelligence and Business Analyticssnehal_152
Business intelligence (BI) involves gathering, storing, and analyzing data to help organizations make better business decisions. It provides a single point of access to timely information to answer business questions. BI tools like dashboards, key performance indicators, graphical reporting, and forecasting help companies adapt quickly to changing customer preferences and market conditions. Implementing an effective BI system removes guesswork from decision making and allows for fact-based decisions through accurate, real-time data.
This document defines key terms related to data and information management. It explains that data are facts and statistics collected for reference, while information refers to learned facts about something. Metadata describes other data by summarizing basic details like author and date. A database is a structured set of data stored on a computer that can be accessed in various ways, often using SQL. SQL is the standard language used to manage relational databases and perform tasks like updating or retrieving data.
The document discusses the roles of IT systems in organizations. It describes transaction processing (TP) systems like point-of-sale and order processing that organizations use. It also discusses customer relationship management (CRM) systems. The document outlines roles of IT systems like operational support, collaboration, knowledge management, product development, and service delivery. It provides details about operational support systems, collaboration systems, and knowledge management systems. It also discusses the product development process.
1. A strategic information system is an information system aligned with an organization's business strategy to help achieve its objectives and gain a competitive advantage.
2. Strategic information systems differ from other management information systems in that they can change how a firm competes, have an external focus, and involve higher project risk.
3. Strategic information systems support strategic decision making, innovation, responsiveness to market changes, collaboration, customer insight, and introducing new business models.
How to choose a Loan Document Management Software.pdfTechugo
Businesses, banks, commercial lenders, and mortgage firms must manage loans. Customers want to feel safe when taking out a loan, whether for personal or professional purposes. They have more options for lending, are tech-savvy, and use multiple devices. Some of these unique financial technology products are new to them.
1. An information system is a set of interrelated components that collect, process, store, and distribute information to support decision making and control in an organization. It includes hardware, software, data, people, processes, and technologies.
2. Information systems have three main components - input, processing, and output. They also involve feedback and control to monitor performance. Common examples of information systems include transaction processing systems, decision support systems, and executive information systems.
3. Managing information systems effectively presents challenges related to business processes, technology development, goals and ethics. Developing successful information system solutions involves analyzing needs, designing, implementing, and maintaining systems through continuous improvement.
This document discusses various management concepts and how information technology can support management functions. It covers the roles and levels of management, types of management decisions, and dimensions of management information. It also discusses how IT can enable managerial communications, collaborative work, distributed computing, and the automated office. Further, it explores how IT supports managerial decision making through management information systems, decision support systems, group decision support systems, and expert systems. Finally, it discusses how IT can support business strategy and improve efficiency and effectiveness through the value chain.
Information Systems is a set of interrelated components that collect (input), manipulate (process), store, and disseminate (output) data and information and provide a feedback mechanism to meet an objective.
The document provides information on management information systems. It discusses different types of information systems including transaction processing systems, management information systems, decision support systems, executive information systems, and personal and organizational dimensions of information. It also covers topics like business intelligence, Porter's five forces model, generic strategies to manage competitive forces, the impact of the internet, value chain model, and value web.
Management Information System
1) MIS is a software tool that provides processed information from data to help management make decisions. It provides reports, dashboards, and analyses on topics like market trends, sales, inventory, and stakeholder feedback.
2) There are different types of MIS like regular reports, decision support systems, and executive information systems. MIS has advantages like improved decision making, communication, and ability to adapt to customer needs.
3) Key issues for managers regarding IT include selecting technologies to meet business needs, facilitating adoption of new processes when technologies change work, and ensuring maximum benefit is extracted once implemented. Information systems are transforming businesses through increased digitalization and flexibility.
This document provides an overview of management information systems and decision support systems. It discusses key topics such as the role of MIS in supporting decision making, sources and outputs of managerial information, characteristics of MIS and DSS, components of a DSS, and group support systems. The document compares programmed versus non-programmed decisions and highlights similarities and differences between MIS and DSS.
This document defines key concepts related to information systems and knowledge management. It discusses how information systems capture, store, manipulate, and display data to provide relevant and timely information for managers. Decision support systems help managers access and analyze stored data and information to address problems. Knowledge management involves collecting various internal and external sources of data and information and organizing it to provide an integrated view for the enterprise.
Digital transformation is the process of integrating digital technologies into all aspects of a business to meet changing market and business requirements. Key technologies that enable digital transformation include robotic process automation, cloud technologies, IoT, cybersecurity, blockchain, data, artificial intelligence, omni-channel capabilities, and digital twins. Several Indian institutes offer programs focused on digital transformation strategies and leadership.
Information systems are combinations of hardware, software, and networks that organizations use to collect, create, and distribute useful data. They help process and manage data, monitor performance, and support decision making. Information systems are central to virtually every organization and provide users with resources like Wi-Fi networks, database search services, and printers. They consist of hardware, software, data, knowledge, and telecommunications components. Data analytics uses specialized software to explore large volumes of data and provide insights to help organizations grow customer bases, improve efficiency, and detect fraud. Common types of information systems include transaction processing, office automation, decision support, and executive information systems.
Digital transformation is the process of integrating digital technologies into all aspects of a business to meet changing market and business requirements. Key technologies that enable digital transformation include robotic process automation, cloud technologies, IoT, cybersecurity, blockchain, data, artificial intelligence, omnichannel experiences, and digital twins. Digital transformation is important for businesses to remain competitive and meet the needs of customers in the digital age.
This document discusses how business intelligence and analytics support decision making. It describes the types of decisions managers make and how information systems can help. It explains how tools like business intelligence, business analytics, predictive analytics, and location analytics provide insights for decisions. Finally, it discusses how different roles in an organization use business intelligence and analytics to support decisions at all levels, from operational to strategic.
Management information systems (MIS) are used to collect, process, store, and distribute
information to support decision making, coordination, control, analysis, and visualization in an
organization. MIS use hardware, software, networks, and data resources to transform data into
useful information. They provide outputs like scheduled reports, key indicator reports, and
demand reports to support management functions like planning, controlling, and decision making.
MIS help organizations gain competitive advantages through improved decision making and
performance monitoring. While MIS face challenges to build and maintain, they also create
opportunities to enhance productivity, quality, and global competitiveness.
1) Data refers to raw facts or numbers while information is data that has been organized and given meaning or context.
2) A system is defined as a group of interrelated components working together toward a common goal by accepting inputs, processing them, and producing outputs. Key components of systems include inputs, processing, outputs, feedback, and control.
3) Information systems can be classified as either operations support systems, which process business transactions and control processes, or management support systems, which provide information to support decision making.
In this presentation you can find information on information on Parts of Organization, Leadership Behavior Approach, Leadership Grid Model, Impoverished Leadership Management, Country ClubLeadershipManagement, AuthoritarianLeadershipManagement, Team Leading or LeadershipManagement, Middle of the Road LeadershipManagement, Types of Leadership, The Manager Vs The leader,
Plant Location and Layout: This presentation include information about select...Rashed Barakzai
1- Factors that are influencing Plant Location/Facility Location.
2- General Locational Factors.
3- Detail information about Plant Layout and selection.
4- Objective and Purpose of Plant Layout.
5- Classification of Layout.
6- Principle of Plant Layout.
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Similaire à E-Business and E- Business Type and Transaction Process System
An information system is a combination of hardware, software, infrastructure, and trained personnel that facilitates planning, control, coordination, and decision making within an organization. It turns raw data into useful information through organizing, processing, and analyzing the data stored in databases. Typical components of an information system include hardware, software, databases, networks, and procedures. Information systems support management activities like monitoring operations, achieving goals, and adapting to environmental trends to aid decision making.
Information Systems in Global Business Today.pptxRoshni814224
The document discusses the role of information systems in business today. It describes how information systems are transforming business through emerging technologies like mobile platforms, big data, and cloud computing. Information systems help businesses achieve strategic objectives like operational excellence, new products/services, customer intimacy, improved decision making, competitive advantage and survival. The growth of information technology investment from 32% to 52% of capital between 1980-2009 is also noted. Key topics covered include digital business processes, strategic uses of information systems, and how systems and business capabilities are interdependent.
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Business intelligence (BI) involves gathering, storing, and analyzing data to help organizations make better business decisions. It provides a single point of access to timely information to answer business questions. BI tools like dashboards, key performance indicators, graphical reporting, and forecasting help companies adapt quickly to changing customer preferences and market conditions. Implementing an effective BI system removes guesswork from decision making and allows for fact-based decisions through accurate, real-time data.
This document defines key terms related to data and information management. It explains that data are facts and statistics collected for reference, while information refers to learned facts about something. Metadata describes other data by summarizing basic details like author and date. A database is a structured set of data stored on a computer that can be accessed in various ways, often using SQL. SQL is the standard language used to manage relational databases and perform tasks like updating or retrieving data.
The document discusses the roles of IT systems in organizations. It describes transaction processing (TP) systems like point-of-sale and order processing that organizations use. It also discusses customer relationship management (CRM) systems. The document outlines roles of IT systems like operational support, collaboration, knowledge management, product development, and service delivery. It provides details about operational support systems, collaboration systems, and knowledge management systems. It also discusses the product development process.
1. A strategic information system is an information system aligned with an organization's business strategy to help achieve its objectives and gain a competitive advantage.
2. Strategic information systems differ from other management information systems in that they can change how a firm competes, have an external focus, and involve higher project risk.
3. Strategic information systems support strategic decision making, innovation, responsiveness to market changes, collaboration, customer insight, and introducing new business models.
How to choose a Loan Document Management Software.pdfTechugo
Businesses, banks, commercial lenders, and mortgage firms must manage loans. Customers want to feel safe when taking out a loan, whether for personal or professional purposes. They have more options for lending, are tech-savvy, and use multiple devices. Some of these unique financial technology products are new to them.
1. An information system is a set of interrelated components that collect, process, store, and distribute information to support decision making and control in an organization. It includes hardware, software, data, people, processes, and technologies.
2. Information systems have three main components - input, processing, and output. They also involve feedback and control to monitor performance. Common examples of information systems include transaction processing systems, decision support systems, and executive information systems.
3. Managing information systems effectively presents challenges related to business processes, technology development, goals and ethics. Developing successful information system solutions involves analyzing needs, designing, implementing, and maintaining systems through continuous improvement.
This document discusses various management concepts and how information technology can support management functions. It covers the roles and levels of management, types of management decisions, and dimensions of management information. It also discusses how IT can enable managerial communications, collaborative work, distributed computing, and the automated office. Further, it explores how IT supports managerial decision making through management information systems, decision support systems, group decision support systems, and expert systems. Finally, it discusses how IT can support business strategy and improve efficiency and effectiveness through the value chain.
Information Systems is a set of interrelated components that collect (input), manipulate (process), store, and disseminate (output) data and information and provide a feedback mechanism to meet an objective.
The document provides information on management information systems. It discusses different types of information systems including transaction processing systems, management information systems, decision support systems, executive information systems, and personal and organizational dimensions of information. It also covers topics like business intelligence, Porter's five forces model, generic strategies to manage competitive forces, the impact of the internet, value chain model, and value web.
Management Information System
1) MIS is a software tool that provides processed information from data to help management make decisions. It provides reports, dashboards, and analyses on topics like market trends, sales, inventory, and stakeholder feedback.
2) There are different types of MIS like regular reports, decision support systems, and executive information systems. MIS has advantages like improved decision making, communication, and ability to adapt to customer needs.
3) Key issues for managers regarding IT include selecting technologies to meet business needs, facilitating adoption of new processes when technologies change work, and ensuring maximum benefit is extracted once implemented. Information systems are transforming businesses through increased digitalization and flexibility.
This document provides an overview of management information systems and decision support systems. It discusses key topics such as the role of MIS in supporting decision making, sources and outputs of managerial information, characteristics of MIS and DSS, components of a DSS, and group support systems. The document compares programmed versus non-programmed decisions and highlights similarities and differences between MIS and DSS.
This document defines key concepts related to information systems and knowledge management. It discusses how information systems capture, store, manipulate, and display data to provide relevant and timely information for managers. Decision support systems help managers access and analyze stored data and information to address problems. Knowledge management involves collecting various internal and external sources of data and information and organizing it to provide an integrated view for the enterprise.
Digital transformation is the process of integrating digital technologies into all aspects of a business to meet changing market and business requirements. Key technologies that enable digital transformation include robotic process automation, cloud technologies, IoT, cybersecurity, blockchain, data, artificial intelligence, omni-channel capabilities, and digital twins. Several Indian institutes offer programs focused on digital transformation strategies and leadership.
Information systems are combinations of hardware, software, and networks that organizations use to collect, create, and distribute useful data. They help process and manage data, monitor performance, and support decision making. Information systems are central to virtually every organization and provide users with resources like Wi-Fi networks, database search services, and printers. They consist of hardware, software, data, knowledge, and telecommunications components. Data analytics uses specialized software to explore large volumes of data and provide insights to help organizations grow customer bases, improve efficiency, and detect fraud. Common types of information systems include transaction processing, office automation, decision support, and executive information systems.
Digital transformation is the process of integrating digital technologies into all aspects of a business to meet changing market and business requirements. Key technologies that enable digital transformation include robotic process automation, cloud technologies, IoT, cybersecurity, blockchain, data, artificial intelligence, omnichannel experiences, and digital twins. Digital transformation is important for businesses to remain competitive and meet the needs of customers in the digital age.
This document discusses how business intelligence and analytics support decision making. It describes the types of decisions managers make and how information systems can help. It explains how tools like business intelligence, business analytics, predictive analytics, and location analytics provide insights for decisions. Finally, it discusses how different roles in an organization use business intelligence and analytics to support decisions at all levels, from operational to strategic.
Management information systems (MIS) are used to collect, process, store, and distribute
information to support decision making, coordination, control, analysis, and visualization in an
organization. MIS use hardware, software, networks, and data resources to transform data into
useful information. They provide outputs like scheduled reports, key indicator reports, and
demand reports to support management functions like planning, controlling, and decision making.
MIS help organizations gain competitive advantages through improved decision making and
performance monitoring. While MIS face challenges to build and maintain, they also create
opportunities to enhance productivity, quality, and global competitiveness.
1) Data refers to raw facts or numbers while information is data that has been organized and given meaning or context.
2) A system is defined as a group of interrelated components working together toward a common goal by accepting inputs, processing them, and producing outputs. Key components of systems include inputs, processing, outputs, feedback, and control.
3) Information systems can be classified as either operations support systems, which process business transactions and control processes, or management support systems, which provide information to support decision making.
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In this presentation you can find information on information on Parts of Organization, Leadership Behavior Approach, Leadership Grid Model, Impoverished Leadership Management, Country ClubLeadershipManagement, AuthoritarianLeadershipManagement, Team Leading or LeadershipManagement, Middle of the Road LeadershipManagement, Types of Leadership, The Manager Vs The leader,
Plant Location and Layout: This presentation include information about select...Rashed Barakzai
1- Factors that are influencing Plant Location/Facility Location.
2- General Locational Factors.
3- Detail information about Plant Layout and selection.
4- Objective and Purpose of Plant Layout.
5- Classification of Layout.
6- Principle of Plant Layout.
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Unlocking the full potential of Google Analytics is crucial for understanding and optimizing your website’s performance. This guide dives deep into the essential aspects of Google Analytics, from analyzing traffic sources to understanding user demographics and tracking user engagement.
Traffic Sources Analysis:
Discover where your website traffic originates. By examining the Acquisition section, you can identify whether visitors come from organic search, paid campaigns, direct visits, social media, or referral links. This knowledge helps in refining marketing strategies and optimizing resource allocation.
User Demographics Insights:
Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
Tracking User Engagement:
Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
Conversion Rate Optimization:
Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
Custom Reports and Dashboards:
Create custom reports and dashboards to visualize and interpret data relevant to your business goals. Use advanced filters, segments, and visualization options to gain deeper insights. Incorporate custom dimensions and metrics for tailored data analysis. Integrate external data sources to enrich your analytics and make well-informed decisions.
This guide is designed to help you harness the power of Google Analytics for making data-driven decisions that enhance website performance and achieve your digital marketing objectives. Whether you are looking to improve SEO, refine your social media strategy, or boost conversion rates, understanding and utilizing Google Analytics is essential for your success.
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2. Introduction
Online Business or e-business is any kind of business
or commercial transaction that includes sharing
information across the internet. Commerce constitutes
the exchange of products and services between
businesses, groups, and individuals and can be seen as
one of the essential activities of any business.
3. Types of E-Business
i. Business-to-business (B2B)
ii. Business-to-consumer (B2C)
iii. Consumer-to-consumer (C2C)
iv. Consumer-to-business (C2B)
4. 1. Business-to-business (B2B)
• The business-to-business eCommerce model is structured just like it sounds. It’s where
businesses sell products to other companies. Types of products include anything that
enhances another company’s business practices.
• One of the best examples of a B2B business is a software company. Think Salesforce,
HubSpot, or SurveyMonkey. All of these products are for the benefit of a business, and it
wouldn’t make sense for the typical mom-and-pop consumer to invest in enterprise
software
5. 2. Business-to-consumer (B2C)
• The business-to-consumer eCommerce model is also
straightforward. It’s when a business sells products
online, or via a mobile device, directly to consumers.
• Business-to-consumer are online businesses like
clothing, books, makeup, etc.
• Top B2C eCommerce companies include giants like
Amazon, eBay, and Alibaba.
6. 3. Consumer-to-consumer (C2C)
• A consumer-to-consumer business model is when one consumer makes and sells a product
to another consumer.
• One consumer may use a platform like Amazon, Etsy, or eBay to sell products to another
consumer.
• With online eCommerce tools like WooCommerce, consumers can even set up a C2C store
on their personal website
7. 4. Consumer-to-business (C2B)
• The last type of eCommerce business model is
consumer-to-business. This is where a consumer, or
individual entrepreneur, sells their products or
services to businesses.
• Good examples of C2B businesses would be a
business consultant, a freelance graphic designer,
or a social media influencer with a large audience.
8. What is Transaction?
• A Transaction is an agreement, or
communication, carried out between a buyer
and a seller to exchange an asset for payment. It
involves a change in the status of the finances
of two or more businesses or individuals.
9. Transaction Process System
• TPS are cross functional information system that process data resulting from the
occurrence of business transaction.
• Transaction are part of doing business, Such as sales, Purchases and etc.
• A transaction process system (TPS) is an information processing system for business
transactions involving the collection, modification and retrieval of all transaction data.
Characteristics of a TPS include performance, reliability and consistency. TPS is also
known as transaction processing or real-time processing.
10. Transaction Process Cycle
Data Entry
Transaction
Process
Database
Maintenance
Document and
Report
Generation
Inquiry
Processing
11. 1. Data Entry
• The first step of the transaction processing cycle is the capture of business data. For
example, transaction data may be collected by point-of-sale terminals using optical
scanning of bar codes and credit card readers at a retail store or other business.
• Transaction data can also be captured at an e-commerce Web site on the Internet.
• The proper recording and editing of data so they are quickly and correctly captured for
processing is one of the major design challenges of information systems.
12. 1. Transaction Process
• Transaction Processing. Transaction processing systems process data in two basic ways:
1) batch processing: where transaction data are accumulated over a period of time and processed
periodically, and
2) Real-time processing: (also called online processing), where data are processed immediately after a
transaction occurs.
• All online transaction processing systems incorporate real-time processing capabilities. Many online
systems also depend on the capabilities of fault tolerant computer systems that can continue to operate
even if parts of the system fail.
13. 3. Database Maintenance
• An organization’s databases must be updated by its transaction processing systems so that
they are always correct and up-to-date.
• Transaction processing systems serve to assist in maintaining the corporate databases of an
organization to reflect changes resulting from day-to-day business transactions. For example,
credit sales made to customers will cause customer account balances to be increased and the
amount of inventory on hand to be decreased.
• Database maintenance ensures that these and other changes are reflected in the data records
stored in the company’s databases.
14. 4. Document and Report Generation
• Transaction processing systems produce a
variety of documents and reports. Examples of
transaction documents include purchase orders,
paychecks, sales receipts, invoices, and
customer statements.
• Transaction reports might take the form of a
transaction listing such as a payroll register, or
edit reports that describe errors detected during
processing.
15. 3. Database Maintenance
• An organization’s databases must be updated by its transaction processing systems so that
they are always correct and up-to-date.
• Transaction processing systems serve to assist in maintaining the corporate databases of an
organization to reflect changes resulting from day-to-day business transactions. For example,
credit sales made to customers will cause customer account balances to be increased and the
amount of inventory on hand to be decreased.
• Database maintenance ensures that these and other changes are reflected in the data records
stored in the company’s databases.
16. Group Decision Support System (GDSS)
• GDSS are designed to help groups in meetings reach
consensus. Such systems started with facilities
(called decision rooms) in which people work together at the
same time and in the same place.
• A GDSS is an interactive computer-based system that
facilitates a number of decision-makers (working together in a
group) in finding solutions to problems that are unstructured in
nature. They are designed in such a way that they take input
from multiple users interacting simultaneously with the
systems to arrive at a decision as a group.
17. Group Decision Support System Component
1. Hardware: It includes electronic hardware like the
computer, equipment used for networking, electronic
display boards and audiovisual equipment. It also includes
the conference facility, including the physical set up, the
room, the tables, and the chairs, laid out in such a manner
that they can support group discussion and teamwork.
18. Group Decision Support System Component
2. Software Tools: It includes various tools and
techniques, such as electronic questionnaires, electronic
brainstorming tools, idea organizers, tools for setting
priority, policy formation tool, etc. The use of these
software tools in a group meeting helps the group
decision-makers to plan, organize ideas, gather
information, establish priorities, take decisions and
document the meeting proceedings. As a result, meetings
become more productive.
19. Group Decision Support System Component
3. People: It compromises the members participating
in the meeting, a trained facilitator who helps with the
proceedings of the meeting, and an expert staff to
support the hardware and software. The GDSS
components together provide a favorable
environment for carrying out group meetings.
20. Group Decision Support System (GDSS) Software Tools
1. Electronic Questionnaire
2. Electronic Brainstorming Tools
3. Idea Organizer
4. Tools for Setting Priority
5. Policy Formation Tool
Group decision support system software tools help the
decision-makers in organizing their ideas, gathering
required information and setting and ranking priorities
21. Continue…
• Electronic Questionnaire: The
information generated using the
questionnaires helps the organizers of the
meeting to identify the issues that need
immediate attention, thereby enabling the
organizers to create a meeting plan in
advance.
• Electronic Brainstorming Tools:
It allows the participants to simultaneously
contribute their ideas on the subject matter
of the meeting. As the identity of each
participant remains secret, individuals
participate in the meeting without the fear of
criticism.
22. Continue…
• Electronic Questionnaire: The
information generated using the
questionnaires helps the organizers of the
meeting to identify the issues that need
immediate attention, thereby enabling the
organizers to create a meeting plan in
advance.
• Electronic Brainstorming Tools:
It allows the participants to simultaneously
contribute their ideas on the subject matter
of the meeting. As the identity of each
participant remains secret, individuals
participate in the meeting without the fear of
criticism.
23. Continue…
• Idea Organizer:
It helps in bringing together, evaluating and
categorizing the ideas that are produced
during the brainstorming activity.
• Tools for Setting Priority:
It includes a collection of techniques, such
as simple voting, ranking in order and some
weighted techniques that are used for voting
and setting priorities in a group meeting.
Policy Formation Tool:
It provides the necessary support for
converting the wordings of policy statements
into an agreement.