The role of Information System is very significant in today’s competitive environment for the sake of protecting the core capability of any company. Information System helps the official stakeholders of the organization by providing them reliable updates and helps the industries where immediate updates are very crucial; some of these industries are travelling services, stock exchange, banking and the like. Almost all the companies are now investing in to Information System in order to reap the core benefits that it offers. However, these investments do not always end up be reaping benefits; risk is definitely involved in this case and ‘failures’ are unfortunately a part of this very field. Researchers have tried to come up with the major causes for these failures; even academicians have put in their efforts to do so. However, none of them has been able to resolve this complex mystery.
This document discusses methods for causal identification and estimation from observational data for policy assessment and impact analysis. It introduces directed acyclic graphs (DAGs) and Bayesian networks as techniques for causal identification using a theoretical framework known as the potential outcomes or counterfactual model. DAGs allow identification of causal effects through conditional independence relationships represented in a graph. Bayesian networks then enable estimation of causal effects by representing the joint probability distribution encoded in a DAG and performing inference. The document uses a single example throughout to illustrate these identification and estimation techniques.
Causality for Policy Assessment and Impact AnalysisBayesia USA
The objective of this paper is to provide you with a practical framework for causal effect estimation in the context of policy assessment and impact analysis, and in the absence of experimental data.
We will present a range of methods, along with their limitations, including Directed Acyclic Graphs and Bayesian networks. These techniques are intended to help you distinguish causation from association when working with data from observational studies
This paper is structured as a tutorial that revolves around a single, seemingly simple example. On the basis of this example, we will illustrate numerous techniques for causal identification and estimation.
The document discusses key performance indicators (KPIs) for measuring IT performance. It argues that KPIs should focus on a few essential metrics that are critical to progress on key business objectives like growth, health, and recovery. Performance is defined as progress toward measurable targets using chosen methods. Good KPIs quantify how well IT can provide services, be the preferred partner, and adapt to changing priorities and demands. Areas to measure include resources, responsibilities, support, and supervision. The best KPIs are drawn from operational data already being collected on agreements, expectations, ambitions and priorities.
Organizations run on data. They use it to manage projects and the enterprise, make decisions, and guide improvement. In the quest to beat the competition by making products and processes better, faster, and cheaper, having and using high quality data and information is an input to every key decision.
The main part of an HR or workforce analytics projects is when all analyses have been done and you need to put 1 and 1 together to find the actual insights, the causes of your issues, the solution to your problem. Statistics help you well but can only take you so far. This is where the inter-relations plot can help out. You don't need to be a statistician to work with it and it will help you a lot to understand how events are impacting each other and to determine root causes.
The document discusses business rules management. It defines business rules as guidelines intended to prescribe or restrict the behavior or structure of an organization. It then discusses various topics related to business rules including processes, decisions, data, limitations, implementation, formalization, context, and alternatives. Overall, the document provides an overview of the key concepts and components of business rules management.
This document discusses methods for causal identification and estimation from observational data for policy assessment and impact analysis. It introduces directed acyclic graphs (DAGs) and Bayesian networks as techniques for causal identification using a theoretical framework known as the potential outcomes or counterfactual model. DAGs allow identification of causal effects through conditional independence relationships represented in a graph. Bayesian networks then enable estimation of causal effects by representing the joint probability distribution encoded in a DAG and performing inference. The document uses a single example throughout to illustrate these identification and estimation techniques.
Causality for Policy Assessment and Impact AnalysisBayesia USA
The objective of this paper is to provide you with a practical framework for causal effect estimation in the context of policy assessment and impact analysis, and in the absence of experimental data.
We will present a range of methods, along with their limitations, including Directed Acyclic Graphs and Bayesian networks. These techniques are intended to help you distinguish causation from association when working with data from observational studies
This paper is structured as a tutorial that revolves around a single, seemingly simple example. On the basis of this example, we will illustrate numerous techniques for causal identification and estimation.
The document discusses key performance indicators (KPIs) for measuring IT performance. It argues that KPIs should focus on a few essential metrics that are critical to progress on key business objectives like growth, health, and recovery. Performance is defined as progress toward measurable targets using chosen methods. Good KPIs quantify how well IT can provide services, be the preferred partner, and adapt to changing priorities and demands. Areas to measure include resources, responsibilities, support, and supervision. The best KPIs are drawn from operational data already being collected on agreements, expectations, ambitions and priorities.
Organizations run on data. They use it to manage projects and the enterprise, make decisions, and guide improvement. In the quest to beat the competition by making products and processes better, faster, and cheaper, having and using high quality data and information is an input to every key decision.
The main part of an HR or workforce analytics projects is when all analyses have been done and you need to put 1 and 1 together to find the actual insights, the causes of your issues, the solution to your problem. Statistics help you well but can only take you so far. This is where the inter-relations plot can help out. You don't need to be a statistician to work with it and it will help you a lot to understand how events are impacting each other and to determine root causes.
The document discusses business rules management. It defines business rules as guidelines intended to prescribe or restrict the behavior or structure of an organization. It then discusses various topics related to business rules including processes, decisions, data, limitations, implementation, formalization, context, and alternatives. Overall, the document provides an overview of the key concepts and components of business rules management.
Analytics can help organizations better understand and manage their workforce. It is an ongoing process that provides insights into how various factors interact and affect outcomes like employee performance, satisfaction, and retention. While organizations can start with simple ad hoc reports, more sophisticated uses of analytics involve testing hypotheses, predictive modeling, and understanding how different parts of the organization influence overall performance. Both deductive and inductive techniques are used, with deductive starting with a hypothesis and inductive deriving theories from large data sets. Analytics provides a more comprehensive view than typical HR metrics by showing dynamic relationships between variables over time.
Cause and Effect Analysis is a technique for identifying all the possible causes (inputs) associated with a particular problem / effect (output) before narrowing down to the small number of main, root causes which need to be addressed.
This document discusses various forecasting methods and principles. It covers:
- Qualitative methods like expert surveys, intentions surveys, and simulated interaction.
- Quantitative methods like extrapolation, rule-based forecasting, and simple regression which use numerical data.
- Checklists can improve forecasting by ensuring the latest evidence is included. The document provides a checklist for developing knowledge models.
- Forecasting principles like being conservative and choosing simple explanations are discussed.
- Estimating forecast uncertainty is important. Methods discussed include using empirical prediction intervals and decomposing errors by source.
This document outlines the key aspects of project management for a project at Toys4U, a toy manufacturing company. It discusses initiating the project through outsourcing software development and estimating time and costs. Planning includes stakeholder analysis, developing a work breakdown structure, and addressing issues like an employee's accident. Execution requires dividing work among teams. Controlling involves chairing meetings and emphasizing commitment. Closing prepares a lessons learned report incorporating stakeholder input.
The document provides advice on successfully managing predictive analytics programs. It discusses the importance of having an open organizational mindset that embraces new ideas and change. It also emphasizes having a clear business strategy and objectives when developing predictive models. Regularly testing and updating models is key to ensuring optimal predictive accuracy over time as business needs and available data evolve.
An A3 report is a problem-solving tool used in lean companies like Toyota. It follows a standardized format on an 11x17 inch piece of paper to tell a story from background to proposed countermeasures. The A3 encourages identifying root causes, considering various solutions, planning implementation, and following up on results. It is not a rigid template but a flexible knowledge-sharing mechanism. Effective A3 reports ask and answer key questions at each step to fully understand issues and achieve goals.
The document discusses business research methods. It defines business research as determining, analyzing, and disseminating relevant data and information to decision makers to maximize business performance. The primary purpose of research is to reduce risk in business decisions. There are two main categories of research: applied and basic/pure research. Good research has a clearly defined purpose, detailed process, thorough planning, high ethics, addresses limitations, adequate analysis, and conclusions justified by evidence. The scientific method and various types of models, including verbal, analytical, graphical and mathematical, are discussed as frameworks for business research.
This document discusses the trade-off between generality, simplicity, and accuracy when conducting organizational inquiry and interventions. It introduces the GAS model which conceptualizes these three dimensions at different points of a clock face. Traditional responses from researchers and consultants to address this trade-off are then examined, with researchers favoring longitudinal studies for developing theory and consultants providing general templates and solutions. The challenges of balancing relevance for practitioners with academic standards of research are also noted.
CONNECTING THE DOTS - EPPM Board Write Up FinalYasser Mahmud
The Oracle EPPM Board discussed extracting strategic insights from project portfolio data. There was consensus that most companies have improved data generation but face challenges in analyzing patterns to predict outcomes and link insights to strategy. Executives need concise information to guide investment decisions, but also require softer contextual factors beyond numbers. The future of project management involves disseminating intelligence across organizations as knowledge centers rather than modifying data internally. Aligning information to consumption patterns will also be key as the next generation of workers expects freedom in accessing and sharing resources.
This document reviews design methods and tools that can be used at different stages of the design process. It discusses strengths and weaknesses of various current situation assessment methods including SWOT analysis, PESTEL analysis, parametric analysis, fly on the wall observation, and observation/shadowing. These methods are used to understand the existing situation, identify opportunities and threats, and gain insights from customers to inform the design process.
This document discusses the importance of creating an overall design or "grand design" when developing or modifying enterprise information systems. It states that the grand design should include clarifying the overall configuration and operating conditions of both existing systems and any new systems being developed. The grand design is important for optimizing the quality and performance of the entire system, even when adding to or renovating existing systems, rather than building entirely new systems from scratch.
The document discusses causal inference and its importance for business decision making. It notes that causal inference allows companies to make better decisions by understanding the causal effects of actions using past data. This can help companies optimize outcomes by targeting interventions only to individuals expected to benefit. The document outlines key causal inference concepts like treatment effects and explores methods like matching, weighting, and experiments to estimate causal relationships from data.
The document describes seven management and planning tools that were developed from operations research after World War II and Japanese quality control methods. The seven tools are affinity diagram, interrelationship diagraph, tree diagram, prioritization matrix, matrix diagram, process decision program chart, and activity network diagram. Each tool is used for organizing information, analyzing relationships, breaking concepts into finer levels of detail, prioritizing items, showing relationships between items, planning tasks and identifying risks, and planning task sequences.
This document discusses planning tools that can help guide organizational implementation efforts. It describes seven specific tools: affinity diagram, interrelationship diagram, tree diagram, prioritization matrix, matrix diagram, process decision program chart, and activity network diagram. For each tool, it provides a brief definition and example use case. The benefits of using these proven planning tools are that they can help complete tasks more quickly and easily compared to ad-hoc methods, reduce unnecessary analysis, guide users to success, and provide standardized techniques that gain acceptance.
With this research we want to identify the changes in the quality of the decisions made due to MES software implementations. These changes are not solely the increase or decrease of the score on a certain KPI, but could also be (for instance) the changes in behavior and the decision making process. This goal is the basis of our research question: “What is the effect of performance analysis by MES on decision making on production in a manufacturing company?”.
Classic project management meets panopticism - How to monitor projects and (t...Philip Jæger
This paper will not focus on why you should monitor, but acknowledge the premise that it’s needed, and therefore instead focus on expanding its aspects. Panopticism has in relation to monitoring many promising comforts of fx. being economical and bringing error-prevention, but in the shadow of these comforts lurks an asymmetrical power-relationship which may not be suited for today's workspace.
Assists in the solving of common business problems by using a step-by-step methodology for problem identification, analysis, planning of corrective actions to solve a problem and preventive actions to address risks. More http://www.conceptdraw.com/solution-park/seven-management-and-planning-tools
Acme Consulting is one of the leading strategy consulting firms that represent a team of top class consultants. The company is observing lack of efficient solutions due to disperse important information. Various policies can be defined as a high level overall plan, emphasizing on the general goals and involves acceptable procedures". In general terms, it is accepted that in any organization the general information security policies should be the basis for its information security program (Long) Especially in financial service providing companies, the need for sensible policies are growing every day, more and more companies are going global with the new mindset and strategies. In this paper we will discuss different issues that the company is facing and what can be done to make the company more secure.
Analytics can help organizations better understand and manage their workforce. It is an ongoing process that provides insights into how various factors interact and affect outcomes like employee performance, satisfaction, and retention. While organizations can start with simple ad hoc reports, more sophisticated uses of analytics involve testing hypotheses, predictive modeling, and understanding how different parts of the organization influence overall performance. Both deductive and inductive techniques are used, with deductive starting with a hypothesis and inductive deriving theories from large data sets. Analytics provides a more comprehensive view than typical HR metrics by showing dynamic relationships between variables over time.
Cause and Effect Analysis is a technique for identifying all the possible causes (inputs) associated with a particular problem / effect (output) before narrowing down to the small number of main, root causes which need to be addressed.
This document discusses various forecasting methods and principles. It covers:
- Qualitative methods like expert surveys, intentions surveys, and simulated interaction.
- Quantitative methods like extrapolation, rule-based forecasting, and simple regression which use numerical data.
- Checklists can improve forecasting by ensuring the latest evidence is included. The document provides a checklist for developing knowledge models.
- Forecasting principles like being conservative and choosing simple explanations are discussed.
- Estimating forecast uncertainty is important. Methods discussed include using empirical prediction intervals and decomposing errors by source.
This document outlines the key aspects of project management for a project at Toys4U, a toy manufacturing company. It discusses initiating the project through outsourcing software development and estimating time and costs. Planning includes stakeholder analysis, developing a work breakdown structure, and addressing issues like an employee's accident. Execution requires dividing work among teams. Controlling involves chairing meetings and emphasizing commitment. Closing prepares a lessons learned report incorporating stakeholder input.
The document provides advice on successfully managing predictive analytics programs. It discusses the importance of having an open organizational mindset that embraces new ideas and change. It also emphasizes having a clear business strategy and objectives when developing predictive models. Regularly testing and updating models is key to ensuring optimal predictive accuracy over time as business needs and available data evolve.
An A3 report is a problem-solving tool used in lean companies like Toyota. It follows a standardized format on an 11x17 inch piece of paper to tell a story from background to proposed countermeasures. The A3 encourages identifying root causes, considering various solutions, planning implementation, and following up on results. It is not a rigid template but a flexible knowledge-sharing mechanism. Effective A3 reports ask and answer key questions at each step to fully understand issues and achieve goals.
The document discusses business research methods. It defines business research as determining, analyzing, and disseminating relevant data and information to decision makers to maximize business performance. The primary purpose of research is to reduce risk in business decisions. There are two main categories of research: applied and basic/pure research. Good research has a clearly defined purpose, detailed process, thorough planning, high ethics, addresses limitations, adequate analysis, and conclusions justified by evidence. The scientific method and various types of models, including verbal, analytical, graphical and mathematical, are discussed as frameworks for business research.
This document discusses the trade-off between generality, simplicity, and accuracy when conducting organizational inquiry and interventions. It introduces the GAS model which conceptualizes these three dimensions at different points of a clock face. Traditional responses from researchers and consultants to address this trade-off are then examined, with researchers favoring longitudinal studies for developing theory and consultants providing general templates and solutions. The challenges of balancing relevance for practitioners with academic standards of research are also noted.
CONNECTING THE DOTS - EPPM Board Write Up FinalYasser Mahmud
The Oracle EPPM Board discussed extracting strategic insights from project portfolio data. There was consensus that most companies have improved data generation but face challenges in analyzing patterns to predict outcomes and link insights to strategy. Executives need concise information to guide investment decisions, but also require softer contextual factors beyond numbers. The future of project management involves disseminating intelligence across organizations as knowledge centers rather than modifying data internally. Aligning information to consumption patterns will also be key as the next generation of workers expects freedom in accessing and sharing resources.
This document reviews design methods and tools that can be used at different stages of the design process. It discusses strengths and weaknesses of various current situation assessment methods including SWOT analysis, PESTEL analysis, parametric analysis, fly on the wall observation, and observation/shadowing. These methods are used to understand the existing situation, identify opportunities and threats, and gain insights from customers to inform the design process.
This document discusses the importance of creating an overall design or "grand design" when developing or modifying enterprise information systems. It states that the grand design should include clarifying the overall configuration and operating conditions of both existing systems and any new systems being developed. The grand design is important for optimizing the quality and performance of the entire system, even when adding to or renovating existing systems, rather than building entirely new systems from scratch.
The document discusses causal inference and its importance for business decision making. It notes that causal inference allows companies to make better decisions by understanding the causal effects of actions using past data. This can help companies optimize outcomes by targeting interventions only to individuals expected to benefit. The document outlines key causal inference concepts like treatment effects and explores methods like matching, weighting, and experiments to estimate causal relationships from data.
The document describes seven management and planning tools that were developed from operations research after World War II and Japanese quality control methods. The seven tools are affinity diagram, interrelationship diagraph, tree diagram, prioritization matrix, matrix diagram, process decision program chart, and activity network diagram. Each tool is used for organizing information, analyzing relationships, breaking concepts into finer levels of detail, prioritizing items, showing relationships between items, planning tasks and identifying risks, and planning task sequences.
This document discusses planning tools that can help guide organizational implementation efforts. It describes seven specific tools: affinity diagram, interrelationship diagram, tree diagram, prioritization matrix, matrix diagram, process decision program chart, and activity network diagram. For each tool, it provides a brief definition and example use case. The benefits of using these proven planning tools are that they can help complete tasks more quickly and easily compared to ad-hoc methods, reduce unnecessary analysis, guide users to success, and provide standardized techniques that gain acceptance.
With this research we want to identify the changes in the quality of the decisions made due to MES software implementations. These changes are not solely the increase or decrease of the score on a certain KPI, but could also be (for instance) the changes in behavior and the decision making process. This goal is the basis of our research question: “What is the effect of performance analysis by MES on decision making on production in a manufacturing company?”.
Classic project management meets panopticism - How to monitor projects and (t...Philip Jæger
This paper will not focus on why you should monitor, but acknowledge the premise that it’s needed, and therefore instead focus on expanding its aspects. Panopticism has in relation to monitoring many promising comforts of fx. being economical and bringing error-prevention, but in the shadow of these comforts lurks an asymmetrical power-relationship which may not be suited for today's workspace.
Assists in the solving of common business problems by using a step-by-step methodology for problem identification, analysis, planning of corrective actions to solve a problem and preventive actions to address risks. More http://www.conceptdraw.com/solution-park/seven-management-and-planning-tools
Acme Consulting is one of the leading strategy consulting firms that represent a team of top class consultants. The company is observing lack of efficient solutions due to disperse important information. Various policies can be defined as a high level overall plan, emphasizing on the general goals and involves acceptable procedures". In general terms, it is accepted that in any organization the general information security policies should be the basis for its information security program (Long) Especially in financial service providing companies, the need for sensible policies are growing every day, more and more companies are going global with the new mindset and strategies. In this paper we will discuss different issues that the company is facing and what can be done to make the company more secure.
Running Head DECISION SUPPORT SYSTEM PLAN 1DECISION SUPPORT.docxsusanschei
Running Head: DECISION SUPPORT SYSTEM PLAN
1
DECISION SUPPORT SYSTEM PLAN
19
Decision Support System Plan - Computer Systems Analysis & Design I
First Name, Last Name
University
IS315
Table of Contents
1.The Scenario
4
2.System Description
4
3.The Process of the Implementation
6
4.Resolution Central Decision Support System
6
4.1Organization’s Information System
6
4.2Key System Benefits
7
5.Feasibility
8
6.Importance of an Information System in the Organization
10
7.Interdependences
11
128.
Feasibility analysis
9.
Project Size………………………………………………………………………………….14
10.
Cost Analysis………………………………………………………………………………..15
18References
List of Figures
Figure 1: The Conceptual Framework
5
Figure 2: The Proposed Model of the System
5
List of Tables
Table 1: The Cost of the Implementation
9
Table 2: The Benefits of the Implementation
9
Decision Support System Plan – Computer Systems Analysis & Design I1. The Scenario
Home Depot is seeking to cut on costs. Some of the areas which have been identified tend to be hot topical issues every time changes are attempted. These include the decision to source products domestically or having them imported. Others include the reduction of the number of employees as well as streamlining service delivery by redefining chores, job assignments, as well as supervision. The business also purposes to put up an information system that will increase positive output and reduce on cost. Even though the choice of the system has been inspired by the kind of challenges which firms like Home Depot experience while attempting trade-offs, it is important to appreciate that this is something that happens with every other organization. Therefore, there is the need for a ‘what if’ scenario so as to analyze situations and come-up with all the possible management outcomes. The issue, therefore, is facilitating the prediction of the behavior of the stakeholders on the basis of certain managerial decisions.2. System Description
The proposed system is called the Resolution Central Decision Support System. This is a Decision Support System, or DSS, that can be exploited by any organization to achieve its streamlining activities. In this case, the dependent variable is enhanced performance. This is defined by increased productivity, enhanced competitive advantage of the organization in question, as well as improvement in customer service. The customers should, actually, be in a position to report that this is the case, i.e. they have seen improvements with respect to how they are treated and their concerns are addressed. Figure I below indicates the conceptual framework. This is the relationship between the ultimate goal and the issues which define this goal.
Figure 1: The Conceptual Framework
The achievement of the goal at hand requires a number of procedures to be accomplished. Planning is the first among them, and then there is the development of the system capability. Ultimately, there is the maturity of the system, and it is at ...
The Systems Development Life Cycle Moderate and large firms with uni.pdfarwholesalelors
The Systems Development Life Cycle Moderate and large firms with unique information needs
often develop information systems in-house. That is to say that information technology (IT)
professional within the firm design and program the systems. A greater number of smaller
companies and large firms with relatively standardized information needs opt to purchase
information systems from software vendors. Both approaches represent significant financial and
operational risks. a model for reducing this risk through careful planning, execution, control, and
documentation of key activities.
The five phases of this model are:
1) Business Needs and Strategy
Systems Strategy –Assess Strategic Information Needs –Develop a Strategic Systems Plan
–Create an Action Plan
2) Project Initiation –
Systems Analysis –Conceptualization of Alternative Designs –Systems Evaluation and Selection
3.) In-House Systems Development –Construct the System –Deliver the System
4). Commercial Packages –Trends in Commercial Packages –Choosing a Package
5) Maintenance and Support
The participants in systems development can be classified into three broad groups: systems
professionals, end users, and stakeholders. Systems professionals are systems analysts, systems
designers, and programmers. These individuals actually build the system. They gather facts
about problems with the current system, analyze these facts, and formulate a solution to solve the
problems. The product of their efforts is a new system. End users are those for whom the system
is built. Many users exist at all levels in an organization. These include managers, operations
personnel, accountants, and internal auditors. In some organizations, it is difficult to find
someone who is not a user. During systems development, systems professionals work with the
primary users to obtain an understanding of the users’ problems and a clear statement of their
needs. As defined in Chapter 1, stakeholders are individuals either within or outside the
organization who have an interest in the system but are not end users. These include accountants,
internal auditors, external auditors, and the internal steering committee that oversees systems
development.
Cost/Time Analysis:
As stated before, the cost/time analysis is an attempt to calculate to what degree the project and
system will meet the objectives. The SDLC must address two topics in its support of this area:
the scope of the analysis and the algorithm for doing it. Cost/Benefit Scope The benefit side of
the analysis should be expressed in quantitative terms wherever possible. Qualitative or
intangible benefits usually are reflections of poorly analyzed tangible benefits. The SDLC should
support the process of quantifying all benefits. On the costs side, the SDLC must address
development costs, installation costs and ongoing operational costs. In doing these calculations it
should differentiate between capital costs and expense costs. Cost/Benefit Algorithm The method
of calcu.
Modeling and Application of a Modified Attributional Psychometric Instrument...IOSR Journals
This document summarizes a study that examined the attributional styles of 300 IT managers and professionals using a Modified Attributional Style Questionnaire (MASQ). The MASQ assessed causal attributions for hypothetical positive and negative work-related events. It was found to have good internal reliability. Attributions for positive events were significantly correlated with demographic variables like occupational status and salary, as well as job satisfaction and motivation. This supports previous research finding an optimistic internal attribution style is associated with greater satisfaction and motivation. Factor analysis revealed the MASQ items loaded onto three factors that accounted for over 75% of the variance in responses. Correlation analysis found attributional styles like personal control and externality correlated with higher salaries, while internality
The organizations can bring beneficial information through data technologies like Y2k, Bubble etc. There are many other benefits of these technologies, like they can help in utilizing and analyzing the information more comfortably and generate accurate financial reports within the organization. With the application of modern technology and automated systems, employees, stakeholders and consumers can be protected, because these systems help in making genuine report design. Organizations can maintain information system such as record keeping system on any Oracle or SQL server program. In order to avoid misuse of the data and analysis recorded in the system, the U.S designed SOX law procedures in July 2002 that needed to be followed.
FOUR TYPES OF BUSINESS ANALYTICS TO KNOWBUSINESS ANALYTICSby AJeanmarieColbert3
FOUR TYPES OF BUSINESS ANALYTICS TO KNOW
BUSINESS ANALYTICS
by Anushka Mehta October 13, 2017
For different stages of business analytics huge amount of data is processed at various steps. Depending on the stage of the workflow and the requirement of data analysis, there are four main kinds of analytics – descriptive, diagnostic, predictive and prescriptive. These four types together answer everything a company needs to know- from what’s going on in the company to what solutions to be adopted for optimizing the functions.
The four types of analytics are usually implemented in stages and no one type of analytics is said to be better than the other. They are interrelated and each of these offers a different insight. With data being important to so many diverse sectors- from manufacturing to energy grids, most of the companies rely on one or all of these types of analytics. With the right choice of analytical techniques, big data can deliver richer insights for the companies
Before diving deeper into each of these, let’s define the four types of analytics:
1) Descriptive Analytics:Describing or summarizing the existing data using existing business intelligence tools to better understand what is going on or what has happened.
2) Diagnostic Analytics: Focus on past performance to determine what happened and why. The result of the analysis is often an analytic dashboard.
3) Predictive Analytics:Emphasizes on predicting the possible outcome using statistical models and machine learning techniques.
4) Prescriptive Analytics:It is a type of predictive analytics that is used to recommend one or more course of action on analyzing the data.
Let’s understand these in a bit more depth.
1. Descriptive Analytics
This can be termed as the simplest form of analytics. The mighty size of big data is beyond human comprehension and the first stage hence involves crunching the data into understandable chunks. The purpose of this analytics type is just to summarize the findings and understand what is going on.
Among some frequently used terms, what people call as advanced analytics or business intelligence is basically usage of descriptive statistics (arithmetic operations, mean, median, max, percentage, etc.) on existing data. It is said that 80% of business analytics mainly involves descriptions based on aggregations of past performance. It is an important step to make raw data understandable to investors, shareholders and managers. This way it gets easy to identify and address the areas of strengths and weaknesses such that it can help in strategizing.
The two main techniques involved are data aggregation and data mining stating that this method is purely used for understanding the underlying behavior and not to make any estimations. By mining historical data, companies can analyze the consumer behaviors and engagements with their businesses that could be helpful in targeted marketing, service improvement, etc. The tools used in this phase are MS Excel, MATLAB ...
Data science and data analytics professionals enable organizations to utilize the potential of predictive analytics to make informed decisions & help in transforming analytics maturity model of the organization.
Sharda_dss11_im_01.docChapter 1An Overview of Analy.docxklinda1
Sharda_dss11_im_01.doc
Chapter 1:
An Overview of Analytics, and AI
Learning Objectives for Chapter 1
· Understand the need for computerized support of managerial decision making
· Understand the development of systems for providing decision-making support
· Recognize the evolution of such computerized support to the current state of analytics/data science and artificial intelligence
· Describe the business intelligence (BI) methodology and concepts
· Understand the different types of analytics and review selected applications
· Understand the basic concepts of artificial intelligence (AI) and see selected applications
· Understand the analytics ecosystem to identify various key players and career opportunities
CHAPTER OVERVIEW
The business environment (climate) is constantly changing, and it is becoming more and more complex. Organizations, both private and public, are under pressures that force them to respond quickly to changing conditions and to be innovative in the way they operate. Such activities require organizations to be agile and to make frequent and quick strategic, tactical, and operational decisions, some of which are very complex. Making such decisions may require considerable amounts of relevant data, information, and knowledge. Processing these in the framework of the needed decisions must be done quickly, frequently in real time, and usually requires some computerized support. As technologies are evolving, many decisions are being automated, leading to a major impact on knowledge work and workers in many ways. This book is about using business analytics and artificial intelligence (AI) as a computerized support portfolio for managerial decision making. It concentrates on the theoretical and conceptual foundations of decision support as well as on the commercial tools and techniques that are available. The book presents the fundamentals of the techniques and the manner in which these systems are constructed and used. We follow an EEE (exposure, experience, and exploration) approach to introducing these topics. The book primarily provides exposure to various analytics/AI techniques and their applications. The idea is that students will be inspired to learn from how various organizations have employed these technologies to make decisions or to gain a competitive edge. We believe that such exposure to what is being accomplished with analytics and that how it can be achieved is the key component of learning about analytics. In describing the techniques, we also give examples of specific software tools that can be used for developing such applications. However, the book is not limited to any one software tool, so students can experience these techniques using any number of available software tools. We hope that this exposure and experience enable and motivate readers to explore the potential of these techniques in their own domain. To facilitate such exploration, we include exercises that direct the reader to Teradata.
Sharda_dss11_im_01.docChapter 1An Overview of Analy.docxlesleyryder69361
This chapter introduces analytics and artificial intelligence as tools to support managerial decision making. It discusses how the business environment has become more complex, requiring quick strategic decisions based on large amounts of data. The chapter then provides an overview of the evolution of decision support systems from MIS to business intelligence to today's analytics. It defines different types of analytics including descriptive, predictive, and prescriptive and provides examples. Finally, it introduces artificial intelligence and discusses how analytics and AI are converging to automate more decision making.
Management science , system theory, contingency theory (comparison)ErTARUNKASHNI
Definition of Management Science
History of Management science
Introduction to management science approach
Features of management science approach
Applications of management science approach
Process of management science approach
Advantages & disadvantages of management science approach
Introduction to system theory
History of system theory
Applications of system theory
Process of system theory
Types of system theory
Advantages & disadvantages of system theory
Introduction to contingency theory
History of contingency theory
Features of contingency theory
Advantages & disadvantages of contingency theory
Comparison of system vs contingency theory
Table of ContentsIntroduction. 2Summary of the busines.docxjohniemcm5zt
Table of Contents
Introduction
.
2
Summary of the business
.
3
Benefits and disadvantages of Business Analytics
.
3
Challenges that the organization may face using business analytics.
5
Business Analytic Techniques That the organization Can Use
.
6
The Implementation Plan
.
7
Backup plan
.
8
Conclusion
.
8
References
.
9
Introduction
Analytics refers to discovering, interpreting and communicating important patterns in collected data. Analytics has been used in organizations since exercises in managements were put into place by Frederick Winslow Taylor in the late 19th century.
Today, with the introduction of computers in day to day running of businesses, organizations and most of the institutions, the use of analytics has been brought to a whole new level. These consequential patterns can help in decision making in different scenarios.
Business analytics refers to the proficient use of technologies in continuously exploring and investigating past business performance so as to make inferences and help in business planning and decisions. Predictive modeling and statistical methods are extensively utilized to help the management in making this decision.
Business analytics are applicable in a wide range of business and organization scenarios to help in making management decisions. Business analytics has been changed the way businesses look at their key indicators of performance.
The business analyst has responsibilities in the following areas:
They help in identifying the technical actions that would address a certain situations, also supports in delivering the business strategies.
They help in defining procedures they will use in organizations.
They help in supporting the implementations and operations of strategic plans.
They refine the techniques once they have implemented in order to tolerate changes while ensuring continued alignment with the business strategy.
Business Description
The firm is involved in the design. Design firms make designs to clients to meet their (clients) needs.
The business analytics can use different methods analytical techniques. For example, the orders for particular graphic designs vary seasonally due to upcoming promotions and holiday season. The firm should use business analytics to know when in the past they experience different designing orders. The firm should use business analytics to analyze data so that it can be able to make informed decisions.
The organization possesses technological equipment’s but they do have any integrated system. The business should use analytics to connect its databases for easy access and efficiency of information flow.
The firm should also use business analytics to predict how the business would perform in a new environment it wishes to venture into. It would analyse all the factors that would seemingly impact its operations and success in the new environment.
Benefits and disadvantages of Business Analytics
Benefits
Business analytics creates a better .
This dissertation examines factors that influence adoption and use of enterprise social networks (ESNs) within organizations. It analyzes data collected from a large IT organization in the UK that implemented an ESN but saw only limited success. Key factors identified as influencing ESN adoption include an individual's work practices, organizational culture, job compatibility with the ESN, relative advantage of the ESN over other tools, user satisfaction, perception of critical mass using the ESN, perceived enjoyment, social norms, and perceived behavioral control. The study finds adoption highly dependent on job functions fitting with the ESN. It recommends consideration of "hygiene factors" and agile implementation approaches to improve job-technology fit when developing ESN systems.
This document describes a study that examined attributions for work-related events using a Modified
Attributional Style Questionnaire (MASQ) administered to 300 IT professionals. The MASQ assessed causal
attributions along dimensions of internality, stability, globality, externality, and personal control. Results
showed the MASQ had satisfactory reliability. Attributions for positive events correlated with job satisfaction
and motivation more than attributions for negative events. This supports prior research linking an optimistic
internal attributional style to satisfaction and motivation.
Simplifying Model-Based Systems Engineering - an Implementation Journey White...Alex Rétif
Model-Based Systems Engineering (MBSE) is perhaps one of the most misunderstood and often abused acronyms in the engineering vernacular. Many companies struggle to understand how it will improve their entire product life-cycle and address the ever-increasing complexity of products. In many companies, executives and middle management experience a lack of understanding regarding the rapid pace of today’s technology and its impact on organizations and processes. Technical practitioners may gain additional insight as they focus their energies on establishing strong MBSE practices. The successful implementation of MBSE includes transformations and enhancements in three key areas: organization, process and technology. This white paper shares proper planning and implementation considerations in adopting an MBSE practice. It provides a high-level view, defines critical components to help success and identifies many problematic areas to avoid in an implementation journey.
Issue analysis aids strategic intelligence efforts by helping companies anticipate changes in their external environments and shape public policy. It involves identifying issues, analyzing them based on factors like impact and probability, and selecting issues for action. Key steps are issue identification through methods like media scanning, assessment using matrices to evaluate impact and probability, and selecting a response strategy like altering behavior, contesting the issue, or ignoring it. Issue analysis supports decision-making by prioritizing issues and recommending where to focus resources.
This document discusses conducting needs assessments for interactive learning systems. It provides objectives for understanding needs assessment methods, key issues addressed, and effective presentation of results. Needs assessments identify important goals and target audiences for a proposed product. Traditional needs assessment approaches are outlined, including determining purposes and identifying sources to understand what is happening versus what should be happening. Effective needs assessments for interactive learning systems focus on key questions and use rapid prototyping to refine product requirements based on user testing.
Project Management: A Critical Examination of the PPARS ProjectOlivia Moran
This document explores the different aspects of Project Management and critically examines
the management of the recent PPARS project. This was a project which involved the development of a personnel and recruitment system for the HSE in Ireland.
It will also highlight the traps and obstacles
associated with the management of this project.
The document discusses the development of a business intelligence system. It describes the key phases as analysis, design, planning, development, and implementation/control. The analysis phase identifies business needs. The design phase derives an overall architecture. Planning defines the functions and assesses data sources. Development includes building prototypes and defining data warehouses/marts. Implementation deploys the system through developing warehouses/marts, metadata, ETL tools, and applications.
This document provides an overview of data analytics including:
- The basics of data analytics including analytics definitions and the need for data analytics due to increasing data volumes.
- Descriptions of different types of analytics including descriptive, diagnostic, predictive, and prescriptive analytics and their purposes.
- An overview of the data analytics lifecycle including phases such as data preparation, model planning, model building, and communication of results.
Similar to WHY INFORMATION SYSTEM FAILS IN ORGANIZATION (20)
This document provides summaries of and links to various educational software tools and websites that were presented at a workshop, along with the attendee's opinions and reflections on each. The attendee found several tools like Wordle, Tagxedo and Voki useful for classroom activities to engage students. However, concerns were raised about tools like Sketch Swap being potentially addictive or about content on Quia being deleted after a trial period. Overall, exposure to new educational technologies was seen as valuable for teaching practices.
Enterprise Architecture (EA) has many definitions, school of thoughts and perspectives. According
to Buchanan (2010) EA is a strategic planning process that translates the business vision of an
enterprise and its strategy into enterprise change.
http://assignmentstudio.net
Farm bank is an old bank that is located at the marketing center. The bank experimented to modernize its system, but there are some problems with the new system that could create difficulties and hurdles in proper implementation and execution.
Bakers Delight is one of the most successful bakery franchise in Australia with around 700 bakeries around the globe. The major focused areas of their operations are Newzeland, Australia and Canada.
The origination of the name “Bakers Delight” is from the belief that every baker and customer will be delighted by their product. The service they provide is good enough to delight the customers about the product, while in case of baker the product he bakes, he should be delighted about it. Bakers Delight culture and practises revolves around the same belief.
Firm Strategy for Global or Multi-domestic OrganizationsAssignment Studio
Firms are utilizing and adopting several strategies as per nature of their business to accomplish mission and vision. In this report, several global strategies have been explored and the applications and practical implications have also been compared with a global firm. The operations of IKEA have been studied to see the outcomes of global strategy in its operations.
Development communication is defined as knowledge sharing and using communication to promote development through formulation of strategy and policies. Development communication also means a systematic collaboration and exchange of information leading to the mutual benefits of all the parties. Communication (knowledge sharing and transfer of ideas), of any kind, plays an important role in development of nations now days.
During the past few decades, Pizza Hut has been able to develop an excellent reputation in the minds of consumers. The reputation helped in achieving respect from the experts within the industry and its consumers. Pizza Hut believed in providing value to its customers. This value includes great service experience, maintained quality and continuous innovation with their offerings. Pizza Hut is a brand which has changed the mindset. Pizza being an specialty as Italian product, has now transformed into the mass market product . The quality of the brand relies on the employees objectives too. The objectives of employees at Pizza Hut are aligned with the organizational goals, resulting with an acceleration in the growth platform of Pizza Hut.
Participation in the budgeting process is often hailed as a motivator for improved performance outcomes, however, some authors have suggested that forced participation may fail to empower or motivate employees and may even result in a diminution in performance.
Job satisfaction has received substantial attention from both researchers and practitioners due to its significance in achieving organisational goals in the private and public sectors. Researchers in the human resource field have long probed the relationship between variables related to job satisfaction and employee performance (Locke, 1976; Currall, et al, 2005; Qureshi et al.,2011; Rehman & Waheed ,2011; Rehman, 2012), and productivity ( (Marks, 2006; Bataineh ,2011). However, there is little agreement on how contributory factors play a significant role in job satisfaction (Elding, Tobias, & Walker, 2006).
Goffman (1959) as (cited in Schulz 2012), used theatric allegory to define how a consumer behaves in his “impression management theory”, as a consumer is a social scientist who behaves in public, the way an actor performs on stage in front of an audience .
Schulz 2012 also elaborates; another useful measure of a consumer’s behavioral traits is “reflexivity” by which a customer’s response and reaction can be analyzed by his past experience.
In the last few decades the way information is being shared has been changed a lot, freely sharing of information and pervasiveness of the internet have created various new opportunities for teaching and learning (Martin. F, 2012). There is a growing concern that such technology provide a convergence between on and off-campus teaching and learning however this convergence takes some strong consideration of the limitation among the off campus learners
The Parlynet 2002 project to upgrade Victorian Parliament's IT software failed due to poor project management. An analysis found issues with project integration, scope, finances, timelines, quality, human resources, communication and risk management. Recommendations include assigning responsibilities, developing training, recruiting experienced staff, defining roles, identifying risks, regular oversight meetings, financial reporting, engaging skilled personnel, and reviewing IT strategies to prevent future failures.
Internet and computers have changed working, communication, meeting and business requirements and conditions all over globe. Due to this high profile technology, everyone can share any activity that was unexpected and unimaginable few decades back. It was the imagination of people that they will live their lives in this manner and do their business quickly and imagination and dream has come true with the introduction of internet only. Modern society is now associated with internet and related technologies, over a quarter of the world's population is wired into the net and this number is growing every day
Brand loyalty refers to the extent by which consumers become faithful to a particular brand. This is expressed by their repeated purchases, regardless of the marketing pressure brought by other competing brands. In this case the customers will stick to that particular brand irrespective of the prices even if there are similar brands in the market. Brand loyalty is a consumer behavior depicted by loyal customers and will therefore be affected by personal preferences. In this regard therefore, brand loyalty will have an effect on purchases made of the product. It may also affect the customer’s ability to decide whether or not to buy that particular product. This essay therefore, is based on the influence brand loyalty has on the customer behavior and the product. The relationship between brand loyalty and customer preference has made companies to use different strategies to cultivate and get the attention of loyal customers. Some of these strategies include: the use of loyalty programs (e.g. rewards) or trials and incentives. The main argument in this paper is therefore, geared towards answering the question: Is the use of rewards and loyalty cards an effective way to build brand loyalty?
This initial statement is a plan to disclose the intention of beginning a Zara Store in within a new market. Zara is an international retail company that deals in clothing and accessories. The company is based in Spain and was founded in 1975. Currently it has several stores in different parts of the world especially Europe and the Middle East where majority of its stores are located. Zara being a successful company within the area of clothing and accessories, it can easily develop a new product and make impressive sales in short time. There are number of brands and the company sales in its stores including the famous pull and bear, and Massimo Dutti . Each year, the company launches new designs of cloths to keep up with the trend in the fashion industry and to deliver the needs and wants of its customers. The designs are based on both local and worldwide fashion trends.
Because the company has established a well known brand in the fashion industry worldwide, opening another store in any new market will not be a big issue for the company. It is for this reason that the company should open a new store in Melbourne Australia to expand its market. Currently, the customers within this particular target market are offered with a variety of attire to choose from, many local and international brands are already available in the market. Considering the fact that Melbourne is such a diverse place, it would be nice to give the dwellers a taste of indigenous fashion and clothing material from other parts of the world .
Bliss Travels Marketing Plan and Implementation strategies .Assignment Studio
Bliss Travels has been started providing services in travel and tours related services including ticketing and reservations, overseas tours/holiday packagers, cruise holidays, worldwide hotel reservations, overseas airport transfers & rail tickets, travel insurance etc. This company has acquired all those resources that are useful to run Bliss Travels for a long time. After developing all departments such as financial, administration, marketing, operational and human resource, it is now looking forward to attract and retain potential customers.
A System to record and document cybercrime incidents for middle east countri...Assignment Studio
Currently, cyber crime is one of the biggest issues in the discussion and because of these crimes, several companies, people and government institutes are greatly affected negatively. In the advanced countries like U.S, Australia, and Canada there are proper agencies who are operating against this crime. This speedily rising and emerging crime is known as cybercrime including various types such as malware, viruses, ATM’s and credit card frauds. There are many categories of cybercrimes and different types of entities are affected due to these crimes.
The purpose of this report is to recommend a selection process model for selecting one ERP software vendor out of three possible vendors for AutoNexus. The report includes different selection models and their advantages and disadvantages, the evaluation of the Software vendors and their softwares in terms of the selection models and recommendation of the model that best suits the situation.
In this modern, age of society where everyone requires individual attention to his/her self in order to gain far more than publicly gather information. Internet becomes the part of life in these circumstances when technology is much more active than any other source of communication. People need to have all information regarding their field of interest at one place stop and this could only be possible because of internet. According to a research, students engage with a lot more new information's from various sources. Particularly, students are more independent in electronic based courses than traditional way of learning courses. Although the virtual source of teaching courses are not so effective because of student unable to pay attention being as in practical classrooms but students are still progressive.
This paper is depending on the effectiveness of e-learning system in the field of education. E-learning can be perceived as a computer-learning program in which students can be taught over computer. However, today the concept of e-learning has been totally changed, it is the collection of technological sources to provide the information you required within a very short period of time. What is good e-learning process? The components and the future perspective of the e-learning program will covered in this paper.
In this rapidly varying business nature, organizations are trying their level best in order to develop competitive advantage by every possible way available to them.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
2. Abstract
Acme Consulting is one of the leading strategy consulting firms that represent a team of top class
consultants. The company is observing lack of efficient solutions due to disperse important
information. Various policies can be defined as a high level overall plan, emphasizing on the
general goals and involves acceptable procedures". In general terms, it is accepted that in any
organization the general information security policies should be the basis for its information
security program (Long) Especially in financial service providing companies, the need for
sensible policies are growing every day, more and more companies are going global with the
new mindset and strategies. In this paper we will discuss different issues that the company is
facing and what can be done to make the company more secure.
4. INTRODUCTION
The role of Information System is very significant in today’s competitive environment for the
sake of protecting the core capability of any company. Information System helps the official
stakeholders of the organization by providing them reliable updates and helps the industries
where immediate updates are very crucial; some of these industries are travelling services, stock
exchange, banking and the like. Almost all the companies are now investing in to Information
System in order to reap the core benefits that it offers. However, these investments do not always
end up be reaping benefits; risk is definitely involved in this case and ‘failures’ are unfortunately
a part of this very field. Researchers have tried to come up with the major causes for these
failures; even academicians have put in their efforts to do so. However, none of them has been
able to resolve this complex mystery.
The failure of Information System that causes much trouble for the businesses may be due to
either of the many reasons. Many researchers have found out that the failure is not only due to
the technological issues. Some other important aspects to be considered are the human resources
as well as the operations of the business.
As per various examinations, the failure of an Information System occurs when the assembling is
not as per the prescribed design, expenses are beyond prediction, deadlines are not met or when
the Information System is unable to cope with the requirements of the customers. These are not
but only a few of the reasons for the failure of Information Systems that have been observed.
One of the key points here is that even of the failure of IS occurs, the system should continue
operating.
These are only some of the facts that correspond with the other observations. Though failure may
occur, the work on the system should not stop. The real failure that occurs eventual rather
irrevocably is when a company fails to maintain enough support in order to continue working on
the system, which includes improvement, repairs and the operations; moreover, any pause in the
work dissatisfies the users from the system. Other reasons why IS fails can be due to the fact that
it was less planned, was executed without studying it thoroughly, objectives were not defined,
and last but not the least that there was lack of consideration in regards to the involvement of the
5. employees’ spirit, relatively less synchronization, lack of information and execution in the
presence of which they could have done much better.
Issue
The basic purpose of intranet is to locate and use information faster and enhance the
collaboration in order to achieve optimum results. But, the situation is quite devastating in Acme.
The use of intranet has become quite complicated in Acme, and it really needs up-gradation.
Current intranet lacks uniformity of knowledge badly. Knowledge management is something
really important in this sector, and it should be placed at a single platform. The nature of the
work is different and consultants face a number of issues in accessing the intranet. Having a
properly planned strategy allows integration of the current systems and better efficiency.
The most popular benefits of Intranet are knowledge management, task completion,
collaboration and communication. The core element of strategy is not to focus any one of these
points; in fact, you should focus on all three models, because they have primary concentration.
The new strategy contains continuous improvements and redevelopment of the whole
infrastructure. There should be a certain roadmap, ranging from 6-12 months that contains step-
by-step improvement and redevelopment. The strategy must be strong enough to be implemented
effectively. Let us divide the strategy into 4 distinct phases since whole structure needs to be
reorganized in Acme. These phases include Assessment, Planning, Implementation, Objectives’
Setting and Delivery.
RESEARCH APPROACHES
1. Grounded Theory
2. DesignScience
6. GROUNDED THEORY
A study method functions approximately in turn round manner from traditional research, and
initially, may perhaps emerge to be in disagreement of the systematic method. Instead of
building a hypothesis with the help of research; the primary action must be gathering data with
the use of different methods. The major points are jotted down out of the assembled data and
codes are assigned that are taken up out of the transcript. These codes are then assembled into
related concepts, so as to make them more practicable. Groups are formulated with the help of
these concepts that actually provide grounds for developing a theory or reverse engineered
theory. It disagrees with the conventional model of research, where researcher decides
hypothetical frame, and after that he apply this model to the examined fact.
Methodology and Analysis
Grounded Theory (GT) method provides guidelines for data collection, analysis and inductive
theory building. Data collection and analysis is performed in successive steps Carlsson, S.
(2005). The way the data is analyzed in the prior round helps to highlight the data collected in
the later round.
Grounded Theory (GT) method is a general methodology for building theories that are grounded
in data systematically gathered and analyzed (Glaser and Strauss 1967). This methodology was
initially presented by Glaser and Strauss (Glaser and Strauss, 1967) in their book “The Discovery
of Grounded Theory”.
Building a theoretically detailed content about a certain situation is the major aim of GT method.
Baker, C. (1992) describes the GT approach to be a logical consequence of the study of the
incident that it signifies. It means that the incident or the phenomenon is revealed, extended and
confirmed by collecting the data systematically and by thoroughly examining it. Hence instead of
starting off by describing a theory and then verifying it, the study is held about an area and then
whatever is appropriate according to it starts to materialize. The researchers’ purpose in using the
GT method is to explain a given social situation by identifying the core and subsidiary processes
7. operating in it (Baker et al., 1992). The essential procedure is the primary strategy happening in
those particular circumstances and examining it as it connects many other procedures delayed in
an expressive network. With a sketch of gathering impartial facts, the GT technique suggests a
lay down of technical methods. It has to be recorded that the GT technique advocates that there is
a possibility of a number of observations of realism, which need to be represented as much
precisely as feasible.
Henver, A et al 2004, suggests two criteria for the assessment of the theory produced from GT
method: (1) if the hypothetical accounts relate to the social prospect that it is all about; (2) if they
are precise, informative and comprehensible for those who are aware of the social phenomenon
that is being studies, be it those who have participated in it or those who have not. There are 3
basic measures of methodology, which are as follows:
Opencoding:
These are the tagging concepts that symbolize different incidences and other illustrations of the
phenomena.
Axialcoding:
It is the method of setting the data back collectively, after open coding, using novel ways, with
the help of connecting these categories.
Selective coding:
In Selective Coding, the core category is chosen and is connected to other categories
methodically by authenticating the associations. Many Information Systems studies involve GT
method, some of which are Walls, J., Widmeyer, G. R., & El Sawy, O. A. (2001).
8. The first job is to look at the current situation of the whole system; it will surely help to identify
areas where restrictions are needed. Planning is based on brainstorming, where consultants’
involvement and their opinions are extremely vital. They are facing a number of issues like weak
signals, no remote access, data unavailability, limited search and navigations features etc. All of
these issues would be identified in first phase. We may also see the dynamics of other intranets
operating successfully. The third stage is to rationalize the activities and finally the delivery,
according to the plan. Tracking the progress on a continuous basis is extremely important here,
so that we can resolve any upcoming issues right away. In this way, knowledge can be shared
collectively and the efficiency can be enhanced.
Besides, the organization could also practice in enabling IT compliance by using 5 set of
practices. There are (1) organize for compliance (2) use standard and frameworks (3) emphasize
training and awareness (4) ensure appropriate business resource (5) caveat emptor regarding
compliance technology.
Strategy Should Solve These Problems Below:
1) Usage of intranet had fallen to a rate of 30 hits. All information the consultants needed
reports requests for proposal, TS, and background information on customer not call of it on
the intranet. Because consultants not perceive value in it.
2) Information depend on someone who worked for the client before, that person Knowledge,
once this person left the company, this kind of knowledge will lost.
3) Internet separate login, most consultants unaware of the full set of knowledge resource. Info
misfiled on the wrong web site.
4) Search and navigation features were limited.
5) Up-to-date technology
6) Partner don’t like spending money on IT
7) Culture every man for himself, doesn’t share knowledge
8) Change the head of the department first, combine top down and bottom strategy.
9. For a financial company it is important to have effective storage management technology, so
then it will let administrators do more, will save more money by it, anticipate any or all needs
that may arise in the future and also eliminates the risk of unexpectedly running out of space
which in turn might harm everyone's productivity Lees, D. (1987)
By having a good storage management company will be able to implement storage limits on
users and groups of users, limits on the size of shared objects. The company can also have
control over what can be written to servers and or other desktop machines that will be used
mainly to store the data for their clients and other financial institutions.
By implementing such storage system, Acme will be able to do real time monitoring and alerts
for their clients and partners Lees, D. (1987)
For acme, storage hardware and software management tools are only a part of the solution. If the
company needs to cleanup some data then it may affect their clients. In storage management the
clients of the company will play an important role by deciding whether to leave information on-
line, delete it, or archive it. If the clients and partners of the company will have proper access to
the storage then it will be up to them to decide, as it will be their data and only they know what is
important for them and what is not Hevner, A. (2010) For the company it can be a sensitive
issue, because it may be asking its clients and other partners to place limits on what they might
perceive as something free of infinite.
Acceptable Use:
The company should and must make it clear that no representative of the company shall access
or store organization data of any kind in any format by any means. The company should
implement specific systems and should manage carefully to protect all kinds of data that might
be accessed or stored on unauthorized organizations computers and devices Hevner, A. (2010)
All the files should only be accessed from the company’s server, if required under any
circumstances.
10. Violations & Penalties:
All the representative of organization should and must notify the IT department if any illegal
move is made and a proper legal action will be taken against them Lees, D. (1987) That might
result in the loss of their job or any penalties that may apply on them under the state or corporate
law.
Key Points:
For Acme there are various points that it needs to keep in mind but three key points to keep in
mind going forward:
The first one would be to recognize the need that the company needs a clear storage management
policy and not just storage hardware. The company should understand that they need data to be
stored from all parts of the company and it should use proven technologies and techniques to set
up their storage management policy.
Maintenance Policy
For Acme, another vital issue for its web based transaction service that it just started for its
clients and partners is the maintenance of its system. Acme needs to emphasize more on the
maintenance of its PC/workstation and other technology that it will be using and the main reason
for that purpose is that it is mainly involve in the financial services which needs regular updates.
Poon, P. and Wagner, C. (2001) Workstations of users in company can be a significant threat to
company security that may be targeted by the so called insiders, as they might get involve in the
un necessary use of their systems. For this particular reason the management of the company
needs to educate its staff mainly with respect to the physical security as well, and this can also be
achieved by running the system through the possible scenarios, while providing tips for the better
protection of the overall system.
Training Policy
Training policy for Acme, come under the responsibility of Human resources. The need for
training is the process of reviewing job performance standards under different situations and
circumstances and the company should be able to identify whether the individual has the skills,
expertise or the competency that is needed for their job role.
11. Procedure
Under the training policy of the company, each and every individual should be made responsible
for the identification of their own current development needs, career plans and development
needs, with regard to the web based transaction system that the company has just started. Under
this policy the manager of the HR department will work closely with other departments and will
assess the needs of their employees by providing them with coaching and proper guidelines that
they might need in the future.
Tools used to identify training needs
1. Acme, will use various tools to identify the training needs for their employees so that
they will be able to use the new web based transaction system. The tools company will use might
be on annual basis, employees meets with their managers and trainers so that they will be able to
discuss training and development needs to properly use the new system. It will be the
responsibility of both the manager and the employees to ensure that proper training is carried out.
2. In certain situations, if the employees identify other training needs which might help
them indirectly with the new web based transaction system, they should be able to discuss it with
their manager and other people who might be responsible for it.
Obtaining Approval
In Acme, for any kind of training to be proceed for their employees, so that they can get to know
the new web based transaction system for their clients and partners, the company need to have
approval from certain authorities Poon, P. and Wagner, C. (2001) So every thing goes according
to the plan and training will only be provided to certain employees and not all of them, as it will
be costly for them. Training policies for any company varies from their industry and
requirements but in general view it has the same structure and layout. In all cases final approval
is also required from Human Resources.
12. System Access Policies
For Acme, this policy covers the main and most important aspects of their information system
policy. Since Acme is a financial service provider and its main clients and partners are large
financial and insurance companies so it posses more responsibility on itself rather than on others.
The staff of Acme, should be aware of their responsibility, by keeping their user ID and
passwords as secret as possible and it’s not only the matter of security for them but for the data
that might be under their possession. Acme, should explain everything to its users that they are
strictly under no circumstances are allowed to share their ID or password with anyone until and
unless the other person has the right to access their system and anyone might range from the
representative of the information security office (ISO), to their family members. Specially when
Acme, plays such a vital role and supports the web based transaction system so it system access
policy should also restrict any user to provide his Id or password even to the managers or other
executives.
For Acme, under their system access policy, no staff is required to write anything on their
accounting or financial data, or their ID/password on loose papers, or sticky notes or on anything
which might result in potential break-in, due to the improper handling of sensitive data. When
the situation is so critical, the staff should not be allowed to store their ID or password no matter
how safe the staff might think their password is Poon, P. and Wagner, C. (2001)
Acme should educate its staff in a way that strong passwords can be created.
The proper maintenance of sensitive data such as the User ID and password for Acme are the
responsibility of every staff member.
13. Conclusion
Nowadays the overall role of information system is generally considered as significant in
today’s competitive environment for the sake of protecting the basic capability of any
company. Systems like IS helps the official stakeholders of the organization in order to
be able to provide them reliable updates so that the company within a particular industry
can make much needed decisions as early as possible.
Acme consulting is one of the leading strategy consulting firms that represent the team of
top class consultants, because the company is observing lack of efficient solutions due to
the informal arrangement of the information. The failure could be because of various
reasons, but mainly because of Human resource, poor management and lack of
knowledge. The nature of the work is different and consultants face a number of issues in
accessing the intranet. Having a properly planned strategy allows integration of the
current systems and better efficiency; this is where the company needs to focus on.
To be able to face the issue properly, Acme has to redesign their policies of their
information system. All the staff members of Acme must be aware of their responsibility,
by keeping their user ID and passwords as secret as possible and it’s not only the matter
of security for them but for the data that might be under their possession.
14. References
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Carlsson, S. (2005). Developing Information Systems Design Knowledge: A Critical
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Glaser, B. and Strauss, A. (1967) The discovery of Grounded Theory, Aldine Press.
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Hevner, A. (2010). Focus Groups for Artifact Refinement and Evaluation in Design
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Lees, D. and Lees, D. (1987) "Realities of Small Business Information System
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Cases of Information Systems for Senior Executives", Decision Support Systems, 30, 4,
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Walls, J., Widmeyer, G. R., & El Sawy, O. A. (2001). Building An Info System Design
TheoryFor Vigilant EIS. Los Angeles: The Institute of Management Sciences.