The document provides an overview of business intelligence (BI), including definitions, objectives, components, history, needs/benefits, features, uses, and examples. Some key points:
- BI is an umbrella term for architectures, tools, databases, and methods to improve business decision-making through analysis of facts and data-driven systems.
- The goal of BI is to transform raw data into meaningful and useful information through analytics that provides insights and knowledge for impactful decisions.
- Major BI components include data warehousing, extraction/transformation/loading tools, data marts, metrics/key performance indicators, dashboards, and online analytical processing reporting.
- BI has evolved from static reporting systems in
StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use case.
This document provides an introduction to business analytics. It defines business analytics as combining data, information technology, statistical analysis, quantitative methods, and computer-based models to provide decision makers with information and scenarios to make well-researched decisions. The document discusses the evolution of business analytics and its significance and uses, including making data-driven decisions and improving profitability. It also outlines some challenges of business analytics and describes the scopes of descriptive analysis, predictive analysis, and prescriptive analysis.
The document discusses information systems for businesses and how they have evolved. It covers the need for information systems to support fast and accurate transactions, storage, communication, and decision-making. It also discusses the pressures businesses face in today's global, technology-driven environment and how they are responding through strategic systems, business process reengineering, e-commerce, alliances, and continuous improvement efforts.
Business analytics is the practice of iterative statistical analysis of a company's data to support data-driven decision making. It has evolved from early uses of basic graphs and spreadsheets to track sales trends and predict outcomes, to modern applications that gain insights from large volumes of historical data using descriptive analytics and predict customer behavior using predictive analytics to inform real-time decisions. Common business analytics tools include SPSS for statistical analysis and Microsoft Excel for calculations, graphs, and pivot tables.
This document discusses data resource management and decision support systems (DSS). It covers fundamental database concepts like records, files, and database structures including hierarchical, network, relational, object-oriented, and multidimensional models. It also discusses database languages, types of databases, and how data warehouses and data mining can support decision making at strategic and tactical levels in businesses.
This document discusses types of information systems and case studies on the failure of companies due to ineffective use of decision support systems (DSS). It outlines strategic, management, knowledge, and operational level systems and examples of sales forecasting, production scheduling, and order processing. Case studies describe how Kmart failed to implement a supply chain system like Walmart's, how Motorola was unable to launch new smartphones, and how an ERP implementation cost HP $160 million in lost revenues. Suggestions include learning from past mistakes, testing systems, and keeping systems updated to avoid failure.
Chapter 12 information system developmenthaider ali
This document provides an overview of key concepts and activities related to system development, including defining system development and listing its phases. It discusses guidelines for system development such as grouping activities into phases, involving users, and defining standards. Each system development phase is then explained in detail, outlining the objectives and typical activities performed during planning, analysis, design, implementation, and operation/support phases. Diagrams and examples are provided to illustrate system development tools and methodologies.
The document provides an overview of business intelligence (BI), including definitions, objectives, components, history, needs/benefits, features, uses, and examples. Some key points:
- BI is an umbrella term for architectures, tools, databases, and methods to improve business decision-making through analysis of facts and data-driven systems.
- The goal of BI is to transform raw data into meaningful and useful information through analytics that provides insights and knowledge for impactful decisions.
- Major BI components include data warehousing, extraction/transformation/loading tools, data marts, metrics/key performance indicators, dashboards, and online analytical processing reporting.
- BI has evolved from static reporting systems in
StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use case.
This document provides an introduction to business analytics. It defines business analytics as combining data, information technology, statistical analysis, quantitative methods, and computer-based models to provide decision makers with information and scenarios to make well-researched decisions. The document discusses the evolution of business analytics and its significance and uses, including making data-driven decisions and improving profitability. It also outlines some challenges of business analytics and describes the scopes of descriptive analysis, predictive analysis, and prescriptive analysis.
The document discusses information systems for businesses and how they have evolved. It covers the need for information systems to support fast and accurate transactions, storage, communication, and decision-making. It also discusses the pressures businesses face in today's global, technology-driven environment and how they are responding through strategic systems, business process reengineering, e-commerce, alliances, and continuous improvement efforts.
Business analytics is the practice of iterative statistical analysis of a company's data to support data-driven decision making. It has evolved from early uses of basic graphs and spreadsheets to track sales trends and predict outcomes, to modern applications that gain insights from large volumes of historical data using descriptive analytics and predict customer behavior using predictive analytics to inform real-time decisions. Common business analytics tools include SPSS for statistical analysis and Microsoft Excel for calculations, graphs, and pivot tables.
This document discusses data resource management and decision support systems (DSS). It covers fundamental database concepts like records, files, and database structures including hierarchical, network, relational, object-oriented, and multidimensional models. It also discusses database languages, types of databases, and how data warehouses and data mining can support decision making at strategic and tactical levels in businesses.
This document discusses types of information systems and case studies on the failure of companies due to ineffective use of decision support systems (DSS). It outlines strategic, management, knowledge, and operational level systems and examples of sales forecasting, production scheduling, and order processing. Case studies describe how Kmart failed to implement a supply chain system like Walmart's, how Motorola was unable to launch new smartphones, and how an ERP implementation cost HP $160 million in lost revenues. Suggestions include learning from past mistakes, testing systems, and keeping systems updated to avoid failure.
Chapter 12 information system developmenthaider ali
This document provides an overview of key concepts and activities related to system development, including defining system development and listing its phases. It discusses guidelines for system development such as grouping activities into phases, involving users, and defining standards. Each system development phase is then explained in detail, outlining the objectives and typical activities performed during planning, analysis, design, implementation, and operation/support phases. Diagrams and examples are provided to illustrate system development tools and methodologies.
1) Data analytics is the process of examining large data sets to uncover patterns and insights. It involves descriptive, predictive, and prescriptive analysis.
2) Descriptive analysis summarizes past events, predictive analysis forecasts future events, and prescriptive analysis recommends actions.
3) Major companies like Facebook, Amazon, Uber, banks and Spotify extensively use big data and data analytics to improve customer experience, detect fraud, personalize recommendations and gain business insights.
A Proposed Municipal GIS Capability Maturity ModelGreg Babinski
The document proposes a Municipal GIS Capability Maturity Model to assess the development and operations of city and county GIS programs. It identifies two broad areas - enabling capability (e.g. technology, data, resources) and execution ability. Each area contains components that are rated on a scale from initial to optimized. The model is intended to allow municipalities to gauge their GIS maturity over time and against peer organizations. The author plans to survey Washington cities and counties to analyze data using the model and identify normative maturity levels.
The document outlines a presentation about data analytics and business intelligence given by Chris Ortega. The presentation covers:
1. Definitions of data analytics and business intelligence.
2. Why data analytics and business intelligence are important for faster decision making, establishing a learning culture, and exploring opportunities.
3. The decision cycle and how business intelligence tools can automate parts of extracting data, analyzing it, and making decisions.
4. Limitations of current data analytics approaches like manual spreadsheet updates and the difficulty combining multiple data sources.
Marketing information systems (MIS) help analyze and assess marketing data gathered internally and externally. They provide timely information to make decisions around product development, pricing, media selection, and promotion. MIS is used at strategic, tactical, and operational levels. It features continuous data collection, computer-based systems, and provides the right information to the right people. MIS improves efficiency, recognizes trends, and strengthens relationships while facilitating marketing planning and control.
This document discusses the evolution of enterprise resource planning (ERP) systems from the 1960s to the 2000s. It describes how ERP systems originated from separate inventory management, materials requirements planning, and manufacturing resources planning systems and integrated various business functions and processes into a single software package. The document also outlines some of the key modules in modern ERP systems like financials, human resources, distribution, sales and marketing, and manufacturing.
Data cleansing approaches have usually focused on detecting and fixing errors with little attention to big data scaling. This presents a serious impediment since identifying and repairing dirty data often involves processing huge input datasets, handling sophisticated error discovery approaches and managing huge arbitrary errors. With large datasets, error detection becomes overly expensive and complicated especially when considering user-defined functions. Furthermore, a distinctive algorithm is desired to optimize sophisticated error discovery, that requires inequality joins, rather than naïvely parallelizing them. Also, when repairing large errors, their skewed distribution may obstruct effective error repairs. In this dissertation, I present solutions to overcome the above three problems in scaling data cleansing.
Information system for production managementwimmba
The document discusses information systems for production management. It describes the production process which includes receiving orders, allocating resources, scheduling production, completing jobs, and quality testing. It then discusses the MIS requirements which support inventory management, production planning, resource planning, quality control, and production reporting. The levels of production MIS are strategic, tactical, and operational. Material requirements planning and manufacturing resource planning are key components. Data comes from sources like inventory, bills of materials, and human resources.
A transaction processing system (TPS) collects, stores, modifies, and retrieves data about business transactions. It must pass the ACID test, ensuring atomicity, consistency, isolation, and durability of transactions. There are two types - batch processing, where data is collected and processed periodically, and real-time processing, where data is processed immediately. The transaction processing cycle involves data entry, processing transactions, maintaining databases, generating documents and reports, and allowing for inquiries. The overall purpose is to keep records of the organization, process transactions that affect those records, and produce reports.
This document discusses database management systems and how they organize information. It compares traditional file organization techniques to database management. It describes the different components of a database management system including the data definition language, data manipulation language, and data dictionary. It also discusses different database models like relational, hierarchical, and network models. Finally, it outlines the process for creating a database including conceptual and physical design.
This presentation is on the topic - Transaction Processing System. It is a topic in Information Technology for Managers. It includes the concept, characteristics, functions, advantages and disadvantages, types and application of TPS
The document discusses big data and big data analytics in banking. It defines big data as large, complex datasets that are difficult to process and store using traditional databases. Sources of big data include social media, sensors, transportation services, online shopping, and mobile apps. Characteristics of big data include volume, velocity, and variety. Hadoop is presented as an open source framework for analyzing big data using HDFS for storage and MapReduce for processing. The benefits of big data analytics in banking include fraud detection, risk management, customer segmentation, churn analysis, and sentiment analysis to improve customer experience.
A transaction processing system (TPS) collects, stores, modifies, and retrieves business transaction data. TPS are designed to efficiently process high volumes of routine transactions like reservations, payments, and account processing. Transactions represent business activities like orders, payments, and invoices. Early systems like SABRE processed thousands of transactions daily. For a system to qualify as a TPS, transactions must pass the ACID test ensuring atomicity, consistency, isolation, and durability. Key features of TPS include rapid response, continuous availability, data integrity, and ease of use.
This document provides an introduction to data analytics. It defines data, analytics, and data analytics. The main types of analytics described are descriptive, predictive, and prescriptive. Applications of data analytics discussed include self-driving cars, recommendation engines, and decision making. Key activities in data analytics include data extraction, analysis, manipulation, modeling, and visualization. Various roles and careers in data analytics are also outlined, along with example use cases and common tools used.
Data analytics refers to the broad field of using data and tools to make business decisions, while data analysis is a subset that refers to specific actions within the analytics process. Data analysis involves collecting, manipulating, and examining past data to gain insights, while data analytics takes the analyzed data and works with it in a meaningful way to inform business decisions and identify new opportunities. Both are important, with data analysis providing understanding of what happened in the past and data analytics enabling predictions about what will happen in the future.
The document discusses management information systems (MIS) and their components. An MIS provides managers with information to support decision-making and feedback on daily operations. It is an integrated collection of subsystems that are typically organized by functional areas. MIS investments benefit companies in various ways such as supporting core competencies and boosting production processes.
This document discusses issues that arose at Echo Electronics after installing new computerized workstations.
Echo Electronics is an authorized service center located in Sydney, Australia that provides services like repairs, installations, and technical support for electronic brands. Paul Sanchez is the Production Manager who agreed to the Engineering Manager's proposal to install new workstations to increase productivity.
However, after the workstations were installed, productivity and quality decreased while customer complaints of defective products increased. The supervisors cited poor design, inadequate training, and lack of financial incentives as reasons. Two supervisors eventually resigned.
The main issues were that Paul did not thoroughly discuss the needs for the new workstations with the Engineering Manager or get input from his team.
This document discusses functional information systems and provides examples. A functional information system provides detailed information for specific activities and summarized information for management. It is characterized by many small database changes, systematic records, routine actions, and important data preparation efforts. Examples discussed include marketing, human resources, accounting, production, manufacturing, and finance information systems. They each provide specialized information and processing for their respective functions.
This document discusses decision trees, including:
- Decision trees present conditions and actions sequentially in a graphical format. Each condition can have multiple possible nodes.
- They are useful for expressing logic involving variable values or actions dependent on other decisions. This helps analysts identify the actual decisions to be made.
- While decision trees are good for representing a few complex conditional decisions, they can become confusing with too many branches and paths. The lack of additional context in their format is also a limitation.
Introduction To Business Process Improvement PowerPoint Presentation SlideSlideTeam
This complete deck can be used to present to your team. It has PPT slides on various topics highlighting all the core areas of your business needs. This complete deck focuses on Introduction To Business Process Improvement Powerpoint Presentation Slides and has professionally designed templates with suitable visuals and appropriate content. This deck consists of total of twenty six slides. All the slides are completely customizable for your convenience. You can change the colour, text and font size of these templates. You can add or delete the content if needed. Get access to this professionally designed complete presentation by clicking the download button below.
This three-year community planning project aimed to improve the economic well-being of women on the Sunshine Coast of British Columbia. It involved extensive community outreach and engagement, including surveys of local women, focus groups, and public forums. The project identified five priority issues faced by women: transportation, income, adult care, child care, and a sense of belonging. Recommendations were developed in each of these areas based on feedback from women and community partners. The final report summarizes the planning process, research findings, and proposed actions to address issues important to women's economic participation and quality of life in the Sunshine Coast region.
La tarjeta madre es el componente principal de una computadora que integra todos los demás componentes. Es la pieza que permite la conexión entre el procesador, la memoria RAM, las tarjetas de expansión y otros dispositivos. Cumple funciones vitales como la conexión física de los componentes, la distribución de energía y la comunicación de datos.
1) Data analytics is the process of examining large data sets to uncover patterns and insights. It involves descriptive, predictive, and prescriptive analysis.
2) Descriptive analysis summarizes past events, predictive analysis forecasts future events, and prescriptive analysis recommends actions.
3) Major companies like Facebook, Amazon, Uber, banks and Spotify extensively use big data and data analytics to improve customer experience, detect fraud, personalize recommendations and gain business insights.
A Proposed Municipal GIS Capability Maturity ModelGreg Babinski
The document proposes a Municipal GIS Capability Maturity Model to assess the development and operations of city and county GIS programs. It identifies two broad areas - enabling capability (e.g. technology, data, resources) and execution ability. Each area contains components that are rated on a scale from initial to optimized. The model is intended to allow municipalities to gauge their GIS maturity over time and against peer organizations. The author plans to survey Washington cities and counties to analyze data using the model and identify normative maturity levels.
The document outlines a presentation about data analytics and business intelligence given by Chris Ortega. The presentation covers:
1. Definitions of data analytics and business intelligence.
2. Why data analytics and business intelligence are important for faster decision making, establishing a learning culture, and exploring opportunities.
3. The decision cycle and how business intelligence tools can automate parts of extracting data, analyzing it, and making decisions.
4. Limitations of current data analytics approaches like manual spreadsheet updates and the difficulty combining multiple data sources.
Marketing information systems (MIS) help analyze and assess marketing data gathered internally and externally. They provide timely information to make decisions around product development, pricing, media selection, and promotion. MIS is used at strategic, tactical, and operational levels. It features continuous data collection, computer-based systems, and provides the right information to the right people. MIS improves efficiency, recognizes trends, and strengthens relationships while facilitating marketing planning and control.
This document discusses the evolution of enterprise resource planning (ERP) systems from the 1960s to the 2000s. It describes how ERP systems originated from separate inventory management, materials requirements planning, and manufacturing resources planning systems and integrated various business functions and processes into a single software package. The document also outlines some of the key modules in modern ERP systems like financials, human resources, distribution, sales and marketing, and manufacturing.
Data cleansing approaches have usually focused on detecting and fixing errors with little attention to big data scaling. This presents a serious impediment since identifying and repairing dirty data often involves processing huge input datasets, handling sophisticated error discovery approaches and managing huge arbitrary errors. With large datasets, error detection becomes overly expensive and complicated especially when considering user-defined functions. Furthermore, a distinctive algorithm is desired to optimize sophisticated error discovery, that requires inequality joins, rather than naïvely parallelizing them. Also, when repairing large errors, their skewed distribution may obstruct effective error repairs. In this dissertation, I present solutions to overcome the above three problems in scaling data cleansing.
Information system for production managementwimmba
The document discusses information systems for production management. It describes the production process which includes receiving orders, allocating resources, scheduling production, completing jobs, and quality testing. It then discusses the MIS requirements which support inventory management, production planning, resource planning, quality control, and production reporting. The levels of production MIS are strategic, tactical, and operational. Material requirements planning and manufacturing resource planning are key components. Data comes from sources like inventory, bills of materials, and human resources.
A transaction processing system (TPS) collects, stores, modifies, and retrieves data about business transactions. It must pass the ACID test, ensuring atomicity, consistency, isolation, and durability of transactions. There are two types - batch processing, where data is collected and processed periodically, and real-time processing, where data is processed immediately. The transaction processing cycle involves data entry, processing transactions, maintaining databases, generating documents and reports, and allowing for inquiries. The overall purpose is to keep records of the organization, process transactions that affect those records, and produce reports.
This document discusses database management systems and how they organize information. It compares traditional file organization techniques to database management. It describes the different components of a database management system including the data definition language, data manipulation language, and data dictionary. It also discusses different database models like relational, hierarchical, and network models. Finally, it outlines the process for creating a database including conceptual and physical design.
This presentation is on the topic - Transaction Processing System. It is a topic in Information Technology for Managers. It includes the concept, characteristics, functions, advantages and disadvantages, types and application of TPS
The document discusses big data and big data analytics in banking. It defines big data as large, complex datasets that are difficult to process and store using traditional databases. Sources of big data include social media, sensors, transportation services, online shopping, and mobile apps. Characteristics of big data include volume, velocity, and variety. Hadoop is presented as an open source framework for analyzing big data using HDFS for storage and MapReduce for processing. The benefits of big data analytics in banking include fraud detection, risk management, customer segmentation, churn analysis, and sentiment analysis to improve customer experience.
A transaction processing system (TPS) collects, stores, modifies, and retrieves business transaction data. TPS are designed to efficiently process high volumes of routine transactions like reservations, payments, and account processing. Transactions represent business activities like orders, payments, and invoices. Early systems like SABRE processed thousands of transactions daily. For a system to qualify as a TPS, transactions must pass the ACID test ensuring atomicity, consistency, isolation, and durability. Key features of TPS include rapid response, continuous availability, data integrity, and ease of use.
This document provides an introduction to data analytics. It defines data, analytics, and data analytics. The main types of analytics described are descriptive, predictive, and prescriptive. Applications of data analytics discussed include self-driving cars, recommendation engines, and decision making. Key activities in data analytics include data extraction, analysis, manipulation, modeling, and visualization. Various roles and careers in data analytics are also outlined, along with example use cases and common tools used.
Data analytics refers to the broad field of using data and tools to make business decisions, while data analysis is a subset that refers to specific actions within the analytics process. Data analysis involves collecting, manipulating, and examining past data to gain insights, while data analytics takes the analyzed data and works with it in a meaningful way to inform business decisions and identify new opportunities. Both are important, with data analysis providing understanding of what happened in the past and data analytics enabling predictions about what will happen in the future.
The document discusses management information systems (MIS) and their components. An MIS provides managers with information to support decision-making and feedback on daily operations. It is an integrated collection of subsystems that are typically organized by functional areas. MIS investments benefit companies in various ways such as supporting core competencies and boosting production processes.
This document discusses issues that arose at Echo Electronics after installing new computerized workstations.
Echo Electronics is an authorized service center located in Sydney, Australia that provides services like repairs, installations, and technical support for electronic brands. Paul Sanchez is the Production Manager who agreed to the Engineering Manager's proposal to install new workstations to increase productivity.
However, after the workstations were installed, productivity and quality decreased while customer complaints of defective products increased. The supervisors cited poor design, inadequate training, and lack of financial incentives as reasons. Two supervisors eventually resigned.
The main issues were that Paul did not thoroughly discuss the needs for the new workstations with the Engineering Manager or get input from his team.
This document discusses functional information systems and provides examples. A functional information system provides detailed information for specific activities and summarized information for management. It is characterized by many small database changes, systematic records, routine actions, and important data preparation efforts. Examples discussed include marketing, human resources, accounting, production, manufacturing, and finance information systems. They each provide specialized information and processing for their respective functions.
This document discusses decision trees, including:
- Decision trees present conditions and actions sequentially in a graphical format. Each condition can have multiple possible nodes.
- They are useful for expressing logic involving variable values or actions dependent on other decisions. This helps analysts identify the actual decisions to be made.
- While decision trees are good for representing a few complex conditional decisions, they can become confusing with too many branches and paths. The lack of additional context in their format is also a limitation.
Introduction To Business Process Improvement PowerPoint Presentation SlideSlideTeam
This complete deck can be used to present to your team. It has PPT slides on various topics highlighting all the core areas of your business needs. This complete deck focuses on Introduction To Business Process Improvement Powerpoint Presentation Slides and has professionally designed templates with suitable visuals and appropriate content. This deck consists of total of twenty six slides. All the slides are completely customizable for your convenience. You can change the colour, text and font size of these templates. You can add or delete the content if needed. Get access to this professionally designed complete presentation by clicking the download button below.
This three-year community planning project aimed to improve the economic well-being of women on the Sunshine Coast of British Columbia. It involved extensive community outreach and engagement, including surveys of local women, focus groups, and public forums. The project identified five priority issues faced by women: transportation, income, adult care, child care, and a sense of belonging. Recommendations were developed in each of these areas based on feedback from women and community partners. The final report summarizes the planning process, research findings, and proposed actions to address issues important to women's economic participation and quality of life in the Sunshine Coast region.
La tarjeta madre es el componente principal de una computadora que integra todos los demás componentes. Es la pieza que permite la conexión entre el procesador, la memoria RAM, las tarjetas de expansión y otros dispositivos. Cumple funciones vitales como la conexión física de los componentes, la distribución de energía y la comunicación de datos.
This document is a letter to USCIS requesting additional evidence for an application for a provisional unlawful presence waiver. It summarizes a previous case, Matter of Mendez, where extreme hardship factors were found not to outweigh negative factors. It then provides additional evidence of extreme hardship to the applicant's US citizen wife due to financial difficulties, potential worsening of medical conditions, and family separation if the applicant is removed to Mexico, where he would earn a very low income.
The French Riviera is a popular luxury destination for second home buyers, known for its scenic coastline, beaches, and upscale amenities. Property prices are high due to limited land and strict planning laws, but the prime and super-prime markets remain in demand. While the largest concentrations of properties are along the coast between Cannes and Monaco, some buyers now prefer inland homes for more space and privacy while still being close to the coast. British and American investors have surpassed Russians in recent years as top international buyers of French Riviera real estate.
Este documento describe una webquest, un modelo de enseñanza-aprendizaje en línea donde los estudiantes deben investigar en la web para completar tareas. Explica las características de una webquest, como que son virtuales, interactivas y promueven la reflexión del estudiante. También detalla la estructura necesaria de una webquest, incluyendo la introducción, tareas, recursos, evaluación y conclusión. Finalmente, distingue entre dos tipos de webquest, cortas y largas.
El modelo en cascada fue descrito formalmente por primera vez por Royce en 1970 y consiste en 7 fases secuenciales: requerimientos, análisis, diseño, implementación, pruebas, integración y mantenimiento. Si bien es útil para proyectos predecibles con requerimientos claros, su rigidez lo hace inflexible a cambios, lo que puede llevar al fracaso de proyectos. Metodologías más modernas son necesarias para adaptarse a las necesidades actuales de desarrollo de software.
Geometry Dash es un juego de plataformas en el que controlas un cubo para saltar obstáculos, aunque originalmente solo incluía el cubo y una nave espacial. Fue creado en 2013 por RobTop, una sola persona llamada Roberto, y se hizo muy popular después de que un youtuber llamado Grefg lo compartiera en su canal. Actualmente es uno de los juegos más descargados en las tiendas de aplicaciones.
Este documento presenta una webquest sobre poliedros dirigida a estudiantes de 4to año. Les pide a los estudiantes que vean un video sobre poliedros, brinden ejemplos, y elaboren uno con cartulina. También les pide que visiten dos páginas web sobre poliedros y escriban dos datos claves, e identifiquen y dibujen ejemplos de poliedros en la vida cotidiana. Finalmente completen un cuestionario evaluativo.
Este documento presenta un proyecto sobre la importancia de una buena alimentación para la salud física y mental. El proyecto busca crear conciencia sobre una dieta balanceada entre los alumnos y padres a través de conferencias, exposiciones y la promoción de una tiendita saludable en la escuela.
Top 9 sql server 2005 interview questions answersjonhmart036
This document provides tips and sample answers for common interview questions. It discusses how to answer questions about yourself, your strengths, mistakes made, career goals, reasons for leaving previous jobs, weaknesses, and knowledge of the organization. For each question, it offers steps to formulate an answer and provides examples of effective responses. The document aims to help job applicants prepare for interviews by considering how to positively frame their experiences and skills for potential employers.
Maximise Your Reputation in the Marketplace Jason KingMAXfocus
One of the biggest factors in determining how your target market perceives your business relates to the performance of your salespeople.
In this session we will discuss:
How to maintain existing business relationships so that your clients ignore approaches from your competitors
How to effectively prospect for new business without having to cold call
How to prepare and present compelling business proposals (not quotes)
Improvements in these key areas will significantly improve your reputation in the marketplace.
Top 9 financial analyst interview questions answersinterviews-job
This document provides tips and sample answers for common interview questions for a financial analyst role. It addresses questions such as "Tell me about yourself", "What are your biggest strengths?", "What have you learned from mistakes?", "Why did you leave your last job?", "What is your greatest weakness?", and "What have you done to improve your knowledge?". For each question, it offers steps to formulate an effective answer, including connecting your experience to the employer's needs and providing evidence to support your strengths. Sample answers are provided for many of the questions.
This document provides tips and sample answers for common interview questions. It discusses how to answer questions about yourself, your strengths, mistakes made, career goals, reasons for leaving previous jobs, weaknesses, and knowledge of the organization. For each question, it offers steps to formulate an answer and links to additional resources on interview skills and preparation. The document is meant to help job applicants learn how to effectively respond to standard questions during a job interview.
Top 9 telesales interview questions answersjonhmart036
This document provides tips and sample answers for common interview questions for a telesales role. It addresses questions such as "Tell me about yourself", "What are your biggest strengths?", "What have you learned from mistakes?", "Why did you leave your last job?", "What is your greatest weakness?", "What do you know about this organization?", and "What have you done to improve your knowledge?". For each question, it offers steps to formulate an answer and provides examples of responses that highlight relevant qualifications and experience for the position.
Top 9 sql server interview questions answersnathan51015
This document provides tips and sample answers for common interview questions. It discusses how to answer questions about yourself, your strengths, weaknesses, reasons for leaving previous jobs, career goals, and knowledge of the organization. For each question, it offers steps to formulate an answer and examples of responses. The document emphasizes connecting your experiences and abilities to the employer's needs, having specific examples prepared, and avoiding negative statements about former employers or colleagues.
This document provides tips and sample answers for common interview questions. It discusses how to answer questions about yourself, your strengths, mistakes made, career goals, reasons for leaving previous jobs, weaknesses, and knowledge of the organization. For each question, it offers steps to formulate an answer and links to additional resources on interview skills and preparation. The document is meant to help job applicants understand how to effectively respond to standard interview questions.
Top 9 sql queries interview questions answersnathan51015
This document provides tips and sample answers for common interview questions. It discusses how to answer questions about yourself, your strengths, weaknesses, reasons for leaving previous jobs, career goals, and knowledge of the organization. For each question, it offers steps to formulate an answer and provides examples of effective responses. The document aims to help job applicants prepare for interviews by understanding popular questions and crafting polished, relevant responses.
The document provides a guide to job searching in 6 steps:
1) Know yourself - understand your values, interests, personality and skills
2) Explore options - research job options that fit your profile
3) Build strategies - develop a personal brand, write an effective resume, and learn interview techniques
4) Connect with employers - understand how employers hire and network effectively
5) Keep a positive spirit - maintain a growth mindset and well-being during your search
6) Seek help - leverage government support programs to aid your search
This document provides tips and sample answers for common interview questions. It discusses how to answer questions about yourself, your strengths, weaknesses, reasons for leaving previous jobs, career goals, and knowledge of the organization. For each question, it offers steps to formulate an answer and links to additional resources on interview skills and preparation. The document is meant to help job applicants learn how to effectively respond to standard questions they may encounter during a job interview.
This document provides tips and sample answers for common interview questions. It discusses how to answer questions about yourself, your strengths, weaknesses, reasons for leaving previous jobs, career goals, and knowledge of the organization. For each question, it offers steps to formulate an answer and links to additional resources on interview skills and preparation. The overall document aims to help job applicants understand how to effectively respond to typical questions they may face during a job interview.
Top 9 silverlight interview questions answersjonhmart036
This document provides tips and sample answers for common interview questions. It discusses how to answer questions about yourself, your strengths, mistakes made, career goals, reasons for leaving previous jobs, weaknesses, and knowledge of the organization. For each question, it offers steps to formulate an answer and provides examples of effective responses. The document aims to help job applicants prepare for interviews by understanding popular questions and crafting polished, relevant answers.
Top 9 silverlight interview questions answersnathan51015
This document provides tips and sample answers for common interview questions. It addresses questions such as "Tell me about yourself", "What are your biggest strengths?", "What have you learned from mistakes?", "Why did you leave your last job?", "What is your greatest weakness?", "What do you know about this organization?", and "What have you done to improve your knowledge?". For each question, it offers steps to formulate an effective answer, lists relevant strengths or goals, and provides one or two sample responses. The document aims to help job applicants prepare and feel confident responding to standard interview questions.
This document provides tips and sample answers for common interview questions for a Navy position. It addresses questions such as "Tell me about yourself", "What are your biggest strengths?", "What have you learned from mistakes?", "What have you done to improve your knowledge?", "What are your career goals?", "Why did you leave your last job?", "What is your greatest weakness?", "What do you know about this organization?", and "What have you done to improve your Navy knowledge?". For each question, it offers steps to formulate an effective answer and provides examples of answers that highlight qualifications and lessons learned.
This document provides tips and sample answers for common interview questions. It discusses how to answer questions about yourself, your strengths, mistakes made, career goals, reasons for leaving previous jobs, weaknesses, and knowledge of the organization. For each question, it offers steps to prepare, such as researching the employer, having a list of strong points ready, and providing evidence to back up your answers. Sample answers are given for questions about improving skills and career goals. The document aims to help job applicants successfully respond to standard interview questions.
Top 9 servlet interview questions answersnathan51015
This document provides tips and sample answers for common interview questions. It discusses how to answer questions about yourself, your strengths, mistakes made, career goals, reasons for leaving previous jobs, weaknesses, and knowledge of the organization. For each question, it offers steps to formulate an answer and provides examples of effective responses. The document aims to help job applicants prepare for interviews by understanding popular questions and crafting polished, relevant responses.
Top 9 restaurant interview questions answersnathan51015
This document provides tips and sample answers for common interview questions for restaurant jobs. It addresses questions like "Tell me about yourself", "What are your biggest strengths?", "What have you learned from mistakes?", "What have you done to improve your knowledge?", "What are your career goals?", "Why did you leave your last job?", "What is your greatest weakness?", "What do you know about this organization?", and "What have you done to improve your knowledge?". For each question, it offers steps to formulate an effective answer and provides examples of answers that highlight qualifications and lessons learned.
Top 9 business intelligence interview questions answersJobinterviews
This document provides tips and sample answers for common interview questions. It discusses how to answer questions about yourself, your strengths, mistakes made, career goals, reasons for leaving previous jobs, weaknesses, and knowledge of the organization. For each question, it offers steps to formulate an answer and links to additional resources on interview skills and preparation. The overall document aims to help job applicants successfully respond to standard questions they may encounter during a job interview.
Top 9 business intelligence interview questions answershudsons168
This document provides tips and sample answers for common interview questions. It addresses questions such as "Tell me about yourself", "What are your biggest strengths?", "What have you learned from mistakes?", "Why did you leave your last job?", "What is your greatest weakness?", "What do you know about this organization?", and "What have you done to improve your knowledge?". For each question, it offers steps to formulate an effective answer, including connecting experiences to the role and providing evidence. Sample answers are also provided. The document aims to help candidates prepare responses that highlight their qualifications and sell themselves as the best fit for the position.
This document provides tips and sample answers for common interview questions related to the software development life cycle (SDLC). It addresses questions such as "Tell me about yourself", "What are your biggest strengths?", "What have you learned from mistakes in the SDLC field?", and "What have you done to improve your SDLC knowledge?". For each question, it offers steps to formulate an effective answer, lists relevant strengths or lessons, and provides one or two sample responses. The document aims to help job applicants prepare answers that highlight their relevant skills and qualifications for SDLC-related roles.
Exploring Parts of Speech, Creating Strong Objectives, and Choosing the Right...Mark John Lado, MIT
The parts of speech are the basic categories into which words are classified based on their grammatical functions and properties.
When creating the objectives for a capstone project, it is important to use strong and action-oriented verbs that clearly communicate what you want to achieve.
Optimizing Embedded System Device Communication with Network Topology DesignMark John Lado, MIT
Optimizing Embedded System Device Communication with Network Topology Design
System Architecture: A Network Topology for Embedded Systems Device
A Comprehensive Handout by Mark John P. Lado, 2023
Abstract:
The importance of system architecture and network topology in the design and development of embedded systems devices is discussed in this context. The design of the device's hardware, firmware, software, and communication interfaces is included in the system architecture, while the physical connections and communication interfaces between the components are referred to as network topology. Optimization of performance, improvement of reliability, reduction of power consumption, enabling of scalability, and ensuring security can be achieved with a well-designed system architecture and network topology. The creation of an effective system architecture and network topology requires defining the requirements, identifying the system components and interfaces, designing the network topology, choosing the communication protocol, considering security, and testing and validating the design. Additionally, some commonly used shapes for creating system architecture and network topology diagrams for embedded systems devices are presented in this context.
Introduction
Modern technology features ubiquitous embedded systems, from consumer electronics to industrial automation, where designing and developing embedded systems involves critical consideration of system architecture and network topology. The system architecture, which includes the device's hardware, firmware, software, and communication interfaces, and network topology, referring to the physical connections and communication interfaces between components, play a vital role. Optimizing performance, improving reliability, reducing power consumption, enabling scalability, and ensuring security are benefits of effective system architecture and network topology. The importance of system architecture and network topology in designing and developing embedded systems devices is discussed in this context. Also provided is guidance on how to create an effective system architecture and network topology and some commonly used shapes for creating system architecture and network topology diagrams.
Embedded Systems IO Peripherals Wireless Communication.pdfMark John Lado, MIT
Embedded Systems
- I/O Peripherals
- Wireless Communication
- Networks
Mark John Lado, 2023
www.markjohn.cf
Microprocessors are commonly used in conjunction with input/output (I/O) peripherals, which allow for communication between the microprocessor and external devices. These peripherals can include sensors, actuators, displays, and other devices that are used to interface with the outside world.
One of the most common I/O peripherals used with microprocessors is sensors. Microprocessors can be programmed to receive and process data from various types of sensors, such as temperature sensors, pressure sensors, and proximity sensors. The microprocessor can then use this data to make decisions and provide output signals to other systems.
Another common I/O peripheral used with microprocessors is actuators. Microprocessors can be used to control the operation of various types of actuators, such as motors, valves, and solenoids. These actuators can be controlled based on input signals received from sensors or other external devices, allowing for precise control of various systems.
Moreover, microprocessors are also used in conjunction with displays, which can provide information to the user or display system status information. Microprocessors can control the operation of displays, allowing for the display of text, graphics, and other information in a variety of formats.
In addition to these applications, microprocessors can also be used with other types of I/O peripherals, such as switches, buttons, and keyboards, which allow for user input into the system. Microprocessors can be programmed to receive and process input signals from these devices, allowing for user interaction with the system.
In conclusion, microprocessors are commonly used in conjunction with I/O peripherals, which allow for communication between the microprocessor and external devices. These peripherals can include sensors, actuators, displays, and other devices that are used to interface with the outside world. Microprocessors provide intelligent control over these peripherals, allowing for precise control and interaction with various systems. As technology continues to advance, we can expect to see even more innovative applications of microprocessors in I/O peripheral technology, providing even greater functionality and efficiency in a wide range of systems.
Implementing the 6S Lean Methodology for Streamlined Computer System Maintena...Mark John Lado, MIT
Implementing the 6S Lean Methodology for Streamlined Computer System Maintenance and Troubleshooting
Which is which? The 5S or 6S lean methodology?
The 5S and 6S lean methodologies are both tools used to organize and optimize workplaces, but the 6S methodology builds upon the 5S methodology by adding the sixth "S" of "Safety".
The 5S methodology focuses on organizing the workplace to improve efficiency and productivity, while the 6S methodology expands on this by prioritizing safety and adding steps for sustaining improvements. The 6S methodology aims to create a safer and more efficient work environment by emphasizing the importance of maintaining a clean and organized workplace, establishing standard operating procedures, and implementing continuous improvement strategies.
In summary, the main difference between the 5S and 6S methodologies is that the 6S methodology adds an emphasis on safety and continuous improvement, making it a more comprehensive approach to workplace optimization.
ISO IEC 25010 2011 Systems and Software Quality Requirements and Evaluation S...Mark John Lado, MIT
ISO IEC 25010 2011 Systems and Software Quality Requirements and Evaluation SQuaRE Quality Model
The ISO/IEC 25010:2011 standard provides a framework for evaluating
the quality of software products. It is intended for use by anyone
involved in the development, acquisition, or evaluation of software,
including software developers, software testers, project managers, and
quality assurance professionals.
The Software Quality Requirements and Evaluation (SQuaRE)
Quality Model is a set of international standards developed by
the International Organization for Standardization (ISO) for
evaluating and managing the quality of software products. The
SQuaRE Quality Model is based on the ISO/IEC 25010:2011
standard, which defines a set of quality characteristics and
sub-characteristics that can be used to evaluate a software
product's quality.
4 Module - Operating Systems Configuration and Use by Mark John LadoMark John Lado, MIT
4 Module - Operating Systems Configuration and Use
More on https://www.markjohn.cf/courses
This course will deliberate on the basics of an operating system, which may include Computer Memory, the Operating System, its Graphical User Interface, The Windows Operating System, and Desktop, Operating System Installation.
3 Module - Operating Systems Configuration and Use by Mark John LadoMark John Lado, MIT
3 Module - Operating Systems Configuration and Use
More on https://www.markjohn.cf/courses
This course will deliberate on the basics of an operating system, which may include Computer Memory, the Operating System, its Graphical User Interface, The Windows Operating System, and Desktop, Operating System Installation.
1 Module - Operating Systems Configuration and Use by Mark John LadoMark John Lado, MIT
1 Module - Operating Systems Configuration and Use
More on https://www.markjohn.cf/courses
This course will deliberate on the basics of an operating system, which may include Computer Memory, the Operating System, its Graphical User Interface, The Windows Operating System, and Desktop, Operating System Installation.
2 Module - Operating Systems Configuration and Use by Mark John LadoMark John Lado, MIT
This document outlines Module 2 of an Operating Systems course, which covers configuration and use of operating systems. It includes learning objectives, content on operating system wake up calls and booting processes, discussions of graphical user interfaces (GUIs) in Windows and Mac operating systems, and descriptions of common GUI components like icons, windows, menus, pointers, and data sharing between programs. The module concludes with learning activities to test understanding of acronyms, operating system advantages, and the differences between tools and utilities.
PART 1 CT-318-Microprocessor-Systems Lesson 3 - LED Display by Mark John Lado...Mark John Lado, MIT
CT 318 Microprocessor Systems
This course provides understanding the architecture of microprocessor-based systems: registers, study of microprocessor operation, assembly language, arithmetic operations, and interfacing.
INTENDED LEARNING OUTCOMES
1. Explain the principles of LEDs which use in a broad range of LED devices with using digital and analog outputs.
2. Distinguish functions and parameters use in digital and analog outputs.
3. Apply skills in electrical, electronics and programming, to develop various LED devices.
At the end of the course, the students are able to:
1. Perform modern electronic systems with microprocessor/microcontroller, digital logic, and digital interfaces.
2. Recognize usefulness of microprocessor/microcontroller platform to develop AI, IoT and Embedded Systems. (PO1, PO6, PO7, PO8) CLO 3. Develop knowledge, skills and techniques necessary in Industry-based professional practice.
4. Apply automation by means of microprocessor/microcontroller platforms.
PART 2 CT-318-Microprocessor-Systems Lesson 3 - LED Display by Mark John Lado...Mark John Lado, MIT
CT 318 Microprocessor Systems
This course provides understanding the architecture of microprocessor-based systems: registers, study of microprocessor operation, assembly language, arithmetic operations, and interfacing.
INTENDED LEARNING OUTCOMES
1. Explain the principles of LEDs which use in a broad range of LED devices with using digital and analog outputs.
2. Distinguish functions and parameters use in digital and analog outputs.
3. Apply skills in electrical, electronics and programming, to develop various LED devices.
At the end of the course, the students are able to:
1. Perform modern electronic systems with microprocessor/microcontroller, digital logic, and digital interfaces.
2. Recognize usefulness of microprocessor/microcontroller platform to develop AI, IoT and Embedded Systems. (PO1, PO6, PO7, PO8) CLO 3. Develop knowledge, skills and techniques necessary in Industry-based professional practice.
4. Apply automation by means of microprocessor/microcontroller platforms.
PART 3 CT-318-Microprocessor-Systems Lesson 3 - LED Display by Mark John Lado...Mark John Lado, MIT
CT 318 Microprocessor Systems
This course provides understanding the architecture of microprocessor-based systems: registers, study of microprocessor operation, assembly language, arithmetic operations, and interfacing.
INTENDED LEARNING OUTCOMES
1. Explain the principles of LEDs which use in a broad range of LED devices with using digital and analog outputs.
2. Distinguish functions and parameters use in digital and analog outputs.
3. Apply skills in electrical, electronics and programming, to develop various LED devices.
At the end of the course, the students are able to:
1. Perform modern electronic systems with microprocessor/microcontroller, digital logic, and digital interfaces.
2. Recognize usefulness of microprocessor/microcontroller platform to develop AI, IoT and Embedded Systems. (PO1, PO6, PO7, PO8) CLO 3. Develop knowledge, skills and techniques necessary in Industry-based professional practice.
4. Apply automation by means of microprocessor/microcontroller platforms.
Dart is a programming language designed for client development, such as for the web and mobile apps. It is developed by Google and can also be used to build server and desktop applications. Dart is an object-oriented, class-based, garbage-collected language with C-style syntax.
Dart is an open-source general-purpose programming language. It is originally developed by Google and later approved as a standard by ECMA.
Computer Programming 2 - Lecture Presentation
Through a lecture discussion, the students can:
1. describe what is a CRUD;
2. relate a TPS’s major operations;
3. assess the importance of CRUD in each TPS; and
4. explain how to use CRUD;
Computer hacking and security - Social Responsibility of IT Professional by M...Mark John Lado, MIT
Computer hacking and security - Social Responsibility of IT Professional by Mark John Lado and Franklin Lasdoce
*******
Technology is science or knowledge put into practical use to solve problems or invent useful tools. A computer is one of the examples of technology it is a programmable electronic device that accepts raw data as input and processes it with a set of instructions (a program) to produce the result as an output.
Technology is robust, where hacking is now common, there are two different types of hacking, ethical hacking, and unethical hacking.
The Same Tools Are Used By Both Hackers And Ethical Hackers. The Only Difference Is That Hackers Use Tools To Steal Or Destroy Information Whereas Ethical Hackers Use the Same Tools To Safeguard Systems From “Hackers With Malicious Intent”. Ethical Hacking Is Legal And Hacking Is Done With Permission From The Client.
Computer Security Is The Protection Of Computer Systems And Networks From Information Disclosure, Theft Of Or Damage To Their Hardware, Software, Or Electronic Data, As Well As From The Disruption Or Misdirection Of The Services They Provide.
************
At the end of this topic, you will be able to;
1. Tell the definition of Computer Hacking
2. Recognize the Ethical hacking and Unethical hacking
3. Illustrate the penetration tester do
4. Summarize the top Skills Required for Cybersecurity Jobs
5. Define Computer Security
6. Recite the different types of Computer Security
7. Describe the importance of Computer Security
8. Summarize the objectives for computer security in any organization
9. Discover in securing your Computer from Unauthorized Access
10. Relate the 15 Best practices for Computer Security and Cyber Security
11. Recognize the Social Engineering and Cyber Attacks
A WIRELESS DIGITAL PUBLIC ADDRESS WITH VOICE ALARM AND TEXT-TO-SPEECH FEATURE...Mark John Lado, MIT
Adaption of the new technology is a prerequisite for the business's survival and to meet the quality standard. The public address system is widely used in all areas of living; it helps the host speaker to easily disperse the desired messages. This study aimed to develop a wireless digital broadcasting with voice alarm and text-to-speech (TTS) feature that can wirelessly transmit audio signals from the main campus to its satellite campus over long distances. Also, the prototype has a TTS feature that can offer high-quality and stable speech. The main campus is the Colegio de San Antonio de Padua (CSAP) located at Guinsay, Danao City Cebu, Philippines with a satellite campus at Barangay Suba, Danao City, with a distance of not less than four kilometers and not greater than five kilometers from the main campus. The researcher used the descriptive developmental method of research as the systematic study of designing, developing, and evaluating programs that must meet the criteria of internal consistency and effectiveness. The rapid prototyping model was used during the system development while the criteria in McCall’s Factor Model were used to test the system according to its usability, applicability, and efficiency.
The document provides an overview of communications security, cryptography, and compliance as they relate to IT security. It discusses the importance of securing communications and provides methods for doing so, such as cryptography, data masking, and stenography. Cryptography techniques including encryption and decryption are explained. The document also covers compliance in IT security policies and who is responsible for compliance, why companies need compliance, and the purpose of compliance programs.
LEARNING TOPIC:
DNS
Two types of lookup in DNS
Three types of zone in DNS the port no of DNS
The port number of DNS
Nslookup
Active Directory And Domain
LDAP
Active Directory
Group Policy
Software publishing and assigning
*****************************************
At the end of the lesson, the students will be able to;
A. know the system administrator – DNS, and active directory and domain
B. appreciate the role of system administration in terms of DNS, and Active directory And Domain
C. give meaning of each terminologies in system administration in terms of DNS, and Active directory And Domain
IT Security and Management - Prelim Lessons by Mark John LadoMark John Lado, MIT
Learning topics:
1. ACCESS CONTROL
2. ASSET MANAGEMENT
3. BUSINESS CONTINUITY
--------------------------------------------------
By the end of this chapter, learners will be able to;
Know about access control.
Differentiate the physical and logical access control.
Engage with different examples of access control.
Apply the role of access control in their future projects.
Recognize about asset management.
Distinguish the three goals of an asset management program.
Engage with different types of IT asset Management.
Elaborate about business continuity.
Engage with the types of business continuity.
Know about the steps for building and executing of business continuity.
Familiarize the business continuity strategy.
Zodiac Signs and Food Preferences_ What Your Sign Says About Your Tastemy Pandit
Know what your zodiac sign says about your taste in food! Explore how the 12 zodiac signs influence your culinary preferences with insights from MyPandit. Dive into astrology and flavors!
IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
How to Implement a Strategy: Transform Your Strategy with BSC Designer's Comp...Aleksey Savkin
The Strategy Implementation System offers a structured approach to translating stakeholder needs into actionable strategies using high-level and low-level scorecards. It involves stakeholder analysis, strategy decomposition, adoption of strategic frameworks like Balanced Scorecard or OKR, and alignment of goals, initiatives, and KPIs.
Key Components:
- Stakeholder Analysis
- Strategy Decomposition
- Adoption of Business Frameworks
- Goal Setting
- Initiatives and Action Plans
- KPIs and Performance Metrics
- Learning and Adaptation
- Alignment and Cascading of Scorecards
Benefits:
- Systematic strategy formulation and execution.
- Framework flexibility and automation.
- Enhanced alignment and strategic focus across the organization.
Brian Fitzsimmons on the Business Strategy and Content Flywheel of Barstool S...Neil Horowitz
On episode 272 of the Digital and Social Media Sports Podcast, Neil chatted with Brian Fitzsimmons, Director of Licensing and Business Development for Barstool Sports.
What follows is a collection of snippets from the podcast. To hear the full interview and more, check out the podcast on all podcast platforms and at www.dsmsports.net
Company Valuation webinar series - Tuesday, 4 June 2024FelixPerez547899
This session provided an update as to the latest valuation data in the UK and then delved into a discussion on the upcoming election and the impacts on valuation. We finished, as always with a Q&A
The 10 Most Influential Leaders Guiding Corporate Evolution, 2024.pdfthesiliconleaders
In the recent edition, The 10 Most Influential Leaders Guiding Corporate Evolution, 2024, The Silicon Leaders magazine gladly features Dejan Štancer, President of the Global Chamber of Business Leaders (GCBL), along with other leaders.
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...my Pandit
Explore the fascinating world of the Gemini Zodiac Sign. Discover the unique personality traits, key dates, and horoscope insights of Gemini individuals. Learn how their sociable, communicative nature and boundless curiosity make them the dynamic explorers of the zodiac. Dive into the duality of the Gemini sign and understand their intellectual and adventurous spirit.
SATTA MATKA SATTA FAST RESULT KALYAN TOP MATKA RESULT KALYAN SATTA MATKA FAST RESULT MILAN RATAN RAJDHANI MAIN BAZAR MATKA FAST TIPS RESULT MATKA CHART JODI CHART PANEL CHART FREE FIX GAME SATTAMATKA ! MATKA MOBI SATTA 143 spboss.in TOP NO1 RESULT FULL RATE MATKA ONLINE GAME PLAY BY APP SPBOSS
Event Report - SAP Sapphire 2024 Orlando - lots of innovation and old challengesHolger Mueller
Holger Mueller of Constellation Research shares his key takeaways from SAP's Sapphire confernece, held in Orlando, June 3rd till 5th 2024, in the Orange Convention Center.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This PowerPoint compilation offers a comprehensive overview of 20 leading innovation management frameworks and methodologies, selected for their broad applicability across various industries and organizational contexts. These frameworks are valuable resources for a wide range of users, including business professionals, educators, and consultants.
Each framework is presented with visually engaging diagrams and templates, ensuring the content is both informative and appealing. While this compilation is thorough, please note that the slides are intended as supplementary resources and may not be sufficient for standalone instructional purposes.
This compilation is ideal for anyone looking to enhance their understanding of innovation management and drive meaningful change within their organization. Whether you aim to improve product development processes, enhance customer experiences, or drive digital transformation, these frameworks offer valuable insights and tools to help you achieve your goals.
INCLUDED FRAMEWORKS/MODELS:
1. Stanford’s Design Thinking
2. IDEO’s Human-Centered Design
3. Strategyzer’s Business Model Innovation
4. Lean Startup Methodology
5. Agile Innovation Framework
6. Doblin’s Ten Types of Innovation
7. McKinsey’s Three Horizons of Growth
8. Customer Journey Map
9. Christensen’s Disruptive Innovation Theory
10. Blue Ocean Strategy
11. Strategyn’s Jobs-To-Be-Done (JTBD) Framework with Job Map
12. Design Sprint Framework
13. The Double Diamond
14. Lean Six Sigma DMAIC
15. TRIZ Problem-Solving Framework
16. Edward de Bono’s Six Thinking Hats
17. Stage-Gate Model
18. Toyota’s Six Steps of Kaizen
19. Microsoft’s Digital Transformation Framework
20. Design for Six Sigma (DFSS)
To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
How to Implement a Real Estate CRM SoftwareSalesTown
To implement a CRM for real estate, set clear goals, choose a CRM with key real estate features, and customize it to your needs. Migrate your data, train your team, and use automation to save time. Monitor performance, ensure data security, and use the CRM to enhance marketing. Regularly check its effectiveness to improve your business.
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
9. Principles to remember in delivering and effective performance.
Creating and delivering performance information
Do
• Make it clear at the beginning of the year how you’ll evaluate
your employees with individual performance planning sessions.
Do
• Give your employees a copy of their appraisal before the meeting
so they may have their initial emotional response in private.
Do
• Deliver a positive message to your good performers by mainly
concentrating on their strengths and achievements during the
conversation.
10. Principles to remember in delivering and effective performance.
Creating and delivering performance information
Don’t
• Offer general feedback; be specific on behaviors you want your
employee to stop, start, and continue.
11. Principles to remember in delivering and effective performance.
Creating and delivering performance information
Don’t
• Talk about compensation during the review; but if you must,
divulge the salary information at the start of the conversation.
12.
13. Principles to remember in delivering and effective performance.
Creating and delivering performance information
Don’t
• Sugarcoat the review for your poor performers; use the face-to
face as an opportunity to demand improvement.
14.
15. Ten Tips for Measuring & Improving Performance.
Creating and delivering performance information
1. Define Your Goals.
2. Determine the Metrics to Measure Your Company’s
Performance.
3. Develop Methods to Collect and Organize Data.
4. Compare Yourself to the Competition.
5. Conduct Research.
16. Ten Tips for Measuring & Improving Performance.
Creating and delivering performance information
6. Understand Your Strengths and Weaknesses.
7. Focus on Customer Retention.
8. Measure Marketing Effectiveness.
9. Track Employees.
10. Apply the Information.
17. The 10 Laws of Sales Success.
Creating and delivering performance information
Law #1: Keep your mouth shut and your ears open.
Law #2: Sell with questions, not answers.
Law #3: Pretend you're on a first date with your prospect.
Law #4: Speak to your prospect just as you speak to your family or
friends.
Law #5: Pay close attention to what your prospect isn't saying.
Law #6: If you're asked a question, answer it briefly and then move
on.
Law #7: Only after you've correctly assessed the needs of your
prospect do you mention anything about what you're offering.
Law #8: Refrain from delivering a three-hour product seminar.
Law #9: Ask the prospect if there are any barriers to them taking
the next logical step.
Law #10: Invite your prospect to take some kind of action.