VCE IT: From Data to Information
•Download as PPT, PDF•
0 likes•237 views
The document discusses different aspects of transforming data into information through problem solving and creating solutions using graphics and spreadsheets. It covers data types, identifying relevant data, spreadsheet software functions, graphic representations, design elements to improve appearance and effectiveness, design tools, formatting conventions, and testing techniques to evaluate solutions.
Report
Share
Report
Share
![Information Technology ,[object Object],[object Object]](https://image.slidesharecdn.com/u1aos1skillsknowledge-111103194711-phpapp01/85/VCE-IT-From-Data-to-Information-1-320.jpg)
Recommended
Compostition Rules
This document provides citations for 6 Flickr images in MLA format, including the titles of the images "Lines", "Frames", "Balance", "Simplicity", "Rule of Thirds", and "I feel we are all going to hell for this". Each citation includes the photographer name, date published, URL, and date accessed.
Overview
Siroya Developers has built a reputation over 27 years for quality residential projects ranging from luxury apartments to affordable housing. They have completed 22 projects starting from their first in 1991. The company prides itself on fostering mutual trust and respect within the organization to confidently build beyond expectations.
DINÀMICA DE LES ORGANITZACIONS - Future company alfons cornella
El documento presenta las ideas de Alfons Cornella sobre la nueva dinámica de las organizaciones. Habla sobre temas como la gestión del conocimiento, la importancia de las personas dentro y fuera de las organizaciones, y cómo avanzar hacia modelos más inteligentes que generen mayor riqueza.
Ppt fa
The document provides information on the scope and functions of financial accounting and accounting. It discusses how financial accounting records business transactions, prepares financial statements like the income statement and balance sheet, and provides information to external stakeholders like shareholders, creditors, and regulators. The key functions of financial accounting are to record financial transactions, prepare reliable financial reports, and provide stakeholders with important legal and performance information. An example accounting equation and journal entries for a company are also included to illustrate accounting concepts.
Businessmodelgeneration preview
This document is an introduction to a handbook about business model innovation. It is intended for entrepreneurs, intrapreneurs, executives, investors, consultants, and designers who are striving to create new business models. The introduction profiles seven types of people involved in business model innovation, including an entrepreneur creating new concepts, an investor analyzing business models, and a social entrepreneur developing innovative models for social impact.
My Presentation Project
Haley Fox attended Lower Coulumbia College and studied photography. She took photos of alpacas, llamas, chickens, forests, flags, volleyball, music notes, microphones, books and coffee cups. These photos were uploaded to Flickr and cited in her works cited page with information about the photographer and date accessed.
Applying the critical_microsoft_office
This document provides instructions for applying critical Microsoft Office updates. It outlines steps to sign into Lync, set up the Office update, and apply the updates. The process involves signing into Lync, returning to the downloads page to begin the Office update, entering credentials multiple times, applying the updates, and potentially restarting due to profile errors.
Recommended
Compostition Rules
This document provides citations for 6 Flickr images in MLA format, including the titles of the images "Lines", "Frames", "Balance", "Simplicity", "Rule of Thirds", and "I feel we are all going to hell for this". Each citation includes the photographer name, date published, URL, and date accessed.
Overview
Siroya Developers has built a reputation over 27 years for quality residential projects ranging from luxury apartments to affordable housing. They have completed 22 projects starting from their first in 1991. The company prides itself on fostering mutual trust and respect within the organization to confidently build beyond expectations.
DINÀMICA DE LES ORGANITZACIONS - Future company alfons cornella
El documento presenta las ideas de Alfons Cornella sobre la nueva dinámica de las organizaciones. Habla sobre temas como la gestión del conocimiento, la importancia de las personas dentro y fuera de las organizaciones, y cómo avanzar hacia modelos más inteligentes que generen mayor riqueza.
Ppt fa
The document provides information on the scope and functions of financial accounting and accounting. It discusses how financial accounting records business transactions, prepares financial statements like the income statement and balance sheet, and provides information to external stakeholders like shareholders, creditors, and regulators. The key functions of financial accounting are to record financial transactions, prepare reliable financial reports, and provide stakeholders with important legal and performance information. An example accounting equation and journal entries for a company are also included to illustrate accounting concepts.
Businessmodelgeneration preview
This document is an introduction to a handbook about business model innovation. It is intended for entrepreneurs, intrapreneurs, executives, investors, consultants, and designers who are striving to create new business models. The introduction profiles seven types of people involved in business model innovation, including an entrepreneur creating new concepts, an investor analyzing business models, and a social entrepreneur developing innovative models for social impact.
My Presentation Project
Haley Fox attended Lower Coulumbia College and studied photography. She took photos of alpacas, llamas, chickens, forests, flags, volleyball, music notes, microphones, books and coffee cups. These photos were uploaded to Flickr and cited in her works cited page with information about the photographer and date accessed.
Applying the critical_microsoft_office
This document provides instructions for applying critical Microsoft Office updates. It outlines steps to sign into Lync, set up the Office update, and apply the updates. The process involves signing into Lync, returning to the downloads page to begin the Office update, entering credentials multiple times, applying the updates, and potentially restarting due to profile errors.
Gem 2011
The document analyzes data from the 2011 Global Entrepreneurship Monitor survey of over 140,000 adults in 54 economies. It finds:
1) Potential entrepreneurs in factor-driven economies perceive more opportunities to start businesses and have higher self-perceived capabilities than those in other development levels, though Bangladesh shows low capabilities and high fear of failure.
2) Total early-stage entrepreneurial activity is highest in efficiency-driven economies and lowest in factor-driven economies. Necessity-driven entrepreneurship is more common in factor-driven economies while opportunity-driven entrepreneurship dominates in innovation-driven economies.
3) Early-stage entrepreneurs in factor-driven economies tend to be younger and operate in
Machine keynote
Dylan Flemm is a music producer and engineer from New Jersey known as Machine. He completed his first major music production project at age 26. Machine has worked with bands such as Cobra Starship, Four Year Strong, and Suicide Silence. He is always striving for success and innovation in his current projects.
Dendroid nature of trees formation of wood - role of cambium - anticlinal &...
- Trees grow in diameter through cell division in the vascular cambium, a thin meristematic layer located between the xylem and phloem.
- The cambium undergoes two types of cell division: periclinal division radially and anticlinal division circumferentially.
- Periclinal division of cambial cells produces secondary xylem more frequently than divisions producing secondary phloem.
Effect of trees on chemical properties of soil alex
Trees have several positive effects on soil chemical properties:
1) They improve soil organic carbon content and nutrient recycling, which helps maintain soil fertility.
2) Plantation soils have higher levels of organic carbon, nitrogen, and available nutrients than bare land.
3) Soil properties like pH, nutrients, and organic matter generally decrease with increasing distance from trees.
Evaporation, transpiration and evapotranspiration
1) Evaporation, transpiration, and evapotranspiration are key processes in the hydrological cycle. Evaporation is the process by which liquid water changes to a gas, transpiration is the process by which plants release water vapor into the air, and evapotranspiration accounts for both soil evaporation and plant transpiration.
2) There are several methods for measuring evapotranspiration rates, including lysimeters, water balance methods, eddy covariance, and remote sensing techniques using satellites.
3) Potential evapotranspiration refers to the theoretical maximum amount of water that could be evaporated or transpired, while actual or effective evapotranspiration depends on available water supply from the soil and
Rodent management
This document discusses rodent management and control. It notes that rodents are pests that damage crops and transmit diseases. The most common rodent pests in India include rats, mice, bandicoots, and gerbils. An integrated pest management approach is recommended, including sanitation, exclusion through sealing entry points, trapping, poisoning baiting, and encouraging natural predators. Proper identification of rodent signs and species is important for effective control.
Machine Learning: Addressing the Disillusionment to Bring Actual Business Ben...
'Machine learning’ is one of those cringy phrases, almost (if not already) taboo in the world of high-tech SaaS. Applying true machine learning to an organization’s product(s), however, can have real benefit for the business, its clients, and the industry as a whole. From credit card fraud investigations to the way that a car is built, machine learning has permeated our everyday life without a common understanding of what it is and how to implement it.
Week 1 bua 235
The document introduces the lecturer, C. Matt Graham, for a class on Management Information Systems (MIS). It provides Graham's background and research interests. It then asks what MIS is and answers that MIS deals with developing and using information systems to help businesses achieve their goals and objectives. The document emphasizes that MIS is not about computer science or programming, but rather how information technology can be applied to solve business problems.
The challenges of big data, how data capable is your business? DQM Group
The document discusses the challenges of big data and how to measure an organization's data capabilities. It outlines the opportunities big data provides, such as recalculating risk portfolios and analyzing social media data. However, big data also presents challenges like needing a defined data strategy and ensuring talent and technology are aligned. It introduces the data maturity curve to assess an organization's data management practices and provides examples of metrics to measure people, processes, and technology. The document emphasizes having a data strategy, considering third parties and future legislation, and thinking carefully about current capabilities before pursuing big data initiatives.
Welcome To BUA 235-Intro
This document provides an introduction to an information systems course. It defines key terms like information systems, information technology, and management information systems. It discusses how information systems are used across various business functions. It also outlines some of the topics that will be covered in the course, including IT and decision making, security, databases, and enterprise systems. Finally, it discusses the roles of IT professionals and how metrics can be used to measure the efficiency and effectiveness of information systems.
Empathy Mapping: Developing Deeper Insights
Empathy mapping is a visual thinking technique and model developed by XPLANE to understand audiences, including users, customers, and any other players in a business ecosystem. Empathy mapping is a core game in Gamestorming by Dave Gray and Sunni Brown and has been featured by Alexander Osterwalder in Business Model Generation.
Getting started in data science (4:3)
This document provides an overview of data science and how to get started in the field. It defines data science and the roles of data scientists. It also outlines the data science process of framing questions, collecting and cleaning data, exploring patterns, and communicating results. Examples are given of how companies like LinkedIn and Netflix used data science to improve their businesses. The document recommends learning tools like SQL, analytics software, and machine learning algorithms and describes a data science bootcamp program for gaining these skills through mentorship and hands-on projects.
Getting started in data science (4:3)
This document provides an overview of data science and how to get started in the field. It defines data science and the roles of data scientists. It also outlines the data science process of framing questions, collecting and cleaning data, exploring patterns, and communicating results. Examples are given of how companies like LinkedIn and Netflix used data science to improve their businesses. The document recommends learning tools like SQL, analytics software, and machine learning algorithms and describes a data science bootcamp program for gaining these skills through mentorship and hands-on projects.
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
BUSINESS INTELLIGENCE
AND ANALYTICS
RAMESH SHARDA
DURSUN DELEN
EFRAIM TURBAN
TENTH EDITION
.•
TENTH EDITION
BUSINESS INTELLIGENCE
AND ANALYTICS:
SYSTEMS FOR DECISION SUPPORT
Ramesh Sharda
Oklahoma State University
Dursun Delen
Oklahoma State University
Efraim Turban
University of Hawaii
With contributions by
J.E.Aronson
Tbe University of Georgia
Ting-Peng Liang
National Sun Yat-sen University
David King
]DA Software Group, Inc.
PEARSON
Boston Columbus Indianapolis New York San Francisco Upper Saddle River
Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto
Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
Editor in Chief: Stephanie Wall
Executive Editor: Bob Horan
Program Manager Team Lead: Ashley Santora
Program Manager: Denise Vaughn
Executive Marketing Manager: Anne Fahlgren
Project Manager Team Lead: Judy Leale
Project Manager: Tom Benfatti
Operations Specialist: Michelle Klein
Creative Director: Jayne Conte
Cover Designer: Suzanne Behnke
Digital Production Project Manager: Lisa
Rinaldi
Full-Service Project Management: George Jacob,
Integra Software
Solution
s.
Printer/Binder: Edwards Brothers Malloy-Jackson
Road
Cover Printer: Lehigh/Phoenix-Hagerstown
Text Font: Garamond
Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook
appear on the appropriate page within text.
Microsoft and/ or its respective suppliers make no representations about the suitability of the information
contained in the documents and related graphics published as part of the services for any purpose. All such
documents and related graphics are provided "as is" without warranty of any kind. Microsoft and/or its
respective suppliers hereby disclaim all warranties and conditions with regard to this information, including
all warranties and conditions of merchantability, whether express, implied or statutory, fitness for a particular
purpose, title and non-infringement. In no event shall Microsoft and/or its respective suppliers be liable for
any special, indirect or consequential damages or any damages whatsoever resulting from loss of use, data or
profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection
with the use or performance of information available from the services.
The documents and related graphics contained herein could include technical inaccuracies or typographical
errors. Changes are periodically added to the information herein. Microsoft and/or its respective suppliers may
make improvements and/or changes in the product(s) and/ or the program(s) described herein at any time.
Partial screen shots may be viewed in full within the software version specified.
Microsoft® Windows®, and Microsoft Office® are registered trademarks of the Microsoft Corporation in the U.S.A.
and other countries. This book is not sp ...
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
BUSINESS INTELLIGENCE
AND ANALYTICS
RAMESH SHARDA
DURSUN DELEN
EFRAIM TURBAN
TENTH EDITION
.•
TENTH EDITION
BUSINESS INTELLIGENCE
AND ANALYTICS:
SYSTEMS FOR DECISION SUPPORT
Ramesh Sharda
Oklahoma State University
Dursun Delen
Oklahoma State University
Efraim Turban
University of Hawaii
With contributions by
J.E.Aronson
Tbe University of Georgia
Ting-Peng Liang
National Sun Yat-sen University
David King
]DA Software Group, Inc.
PEARSON
Boston Columbus Indianapolis New York San Francisco Upper Saddle River
Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto
Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
Editor in Chief: Stephanie Wall
Executive Editor: Bob Horan
Program Manager Team Lead: Ashley Santora
Program Manager: Denise Vaughn
Executive Marketing Manager: Anne Fahlgren
Project Manager Team Lead: Judy Leale
Project Manager: Tom Benfatti
Operations Specialist: Michelle Klein
Creative Director: Jayne Conte
Cover Designer: Suzanne Behnke
Digital Production Project Manager: Lisa
Rinaldi
Full-Service Project Management: George Jacob,
Integra Software
Solution
s.
Printer/Binder: Edwards Brothers Malloy-Jackson
Road
Cover Printer: Lehigh/Phoenix-Hagerstown
Text Font: Garamond
Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook
appear on the appropriate page within text.
Microsoft and/ or its respective suppliers make no representations about the suitability of the information
contained in the documents and related graphics published as part of the services for any purpose. All such
documents and related graphics are provided "as is" without warranty of any kind. Microsoft and/or its
respective suppliers hereby disclaim all warranties and conditions with regard to this information, including
all warranties and conditions of merchantability, whether express, implied or statutory, fitness for a particular
purpose, title and non-infringement. In no event shall Microsoft and/or its respective suppliers be liable for
any special, indirect or consequential damages or any damages whatsoever resulting from loss of use, data or
profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection
with the use or performance of information available from the services.
The documents and related graphics contained herein could include technical inaccuracies or typographical
errors. Changes are periodically added to the information herein. Microsoft and/or its respective suppliers may
make improvements and/or changes in the product(s) and/ or the program(s) described herein at any time.
Partial screen shots may be viewed in full within the software version specified.
Microsoft® Windows®, and Microsoft Office® are registered trademarks of the Microsoft Corporation in the U.S.A.
and other countries. This book is not sp ...
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU.docx
BUSINESS INTELLIGENCE
AND ANALYTICS
RAMESH SHARDA
DURSUN DELEN
EFRAIM TURBAN
TENTH EDITION
.•
TENTH EDITION
BUSINESS INTELLIGENCE
AND ANALYTICS:
SYSTEMS FOR DECISION SUPPORT
Ramesh Sharda
Oklahoma State University
Dursun Delen
Oklahoma State University
Efraim Turban
University of Hawaii
With contributions by
J.E.Aronson
Tbe University of Georgia
Ting-Peng Liang
National Sun Yat-sen University
David King
]DA Software Group, Inc.
PEARSON
Boston Columbus Indianapolis New York San Francisco Upper Saddle River
Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto
Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
Editor in Chief: Stephanie Wall
Executive Editor: Bob Horan
Program Manager Team Lead: Ashley Santora
Program Manager: Denise Vaughn
Executive Marketing Manager: Anne Fahlgren
Project Manager Team Lead: Judy Leale
Project Manager: Tom Benfatti
Operations Specialist: Michelle Klein
Creative Director: Jayne Conte
Cover Designer: Suzanne Behnke
Digital Production Project Manager: Lisa
Rinaldi
Full-Service Project Management: George Jacob,
Integra Software
Solution
s.
Printer/Binder: Edwards Brothers Malloy-Jackson
Road
Cover Printer: Lehigh/Phoenix-Hagerstown
Text Font: Garamond
Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook
appear on the appropriate page within text.
Microsoft and/ or its respective suppliers make no representations about the suitability of the information
contained in the documents and related graphics published as part of the services for any purpose. All such
documents and related graphics are provided "as is" without warranty of any kind. Microsoft and/or its
respective suppliers hereby disclaim all warranties and conditions with regard to this information, including
all warranties and conditions of merchantability, whether express, implied or statutory, fitness for a particular
purpose, title and non-infringement. In no event shall Microsoft and/or its respective suppliers be liable for
any special, indirect or consequential damages or any damages whatsoever resulting from loss of use, data or
profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection
with the use or performance of information available from the services.
The documents and related graphics contained herein could include technical inaccuracies or typographical
errors. Changes are periodically added to the information herein. Microsoft and/or its respective suppliers may
make improvements and/or changes in the product(s) and/ or the program(s) described herein at any time.
Partial screen shots may be viewed in full within the software version specified.
Microsoft® Windows®, and Microsoft Office® are registered trademarks of the Microsoft Corporation in the U.S.A.
and other countries. This book is not sp ...
Why MIS
People need information for entertainment, enlightenment, decision making, and problem solving. Data refers to raw facts while information involves data that has been manipulated and given meaning or context. Information systems take in data as input, process it, and produce useful information as output. Systems are made up of components that work together to achieve common goals and can be closed systems that operate independently or open systems that interface with other systems. The combination of human and computer capabilities in information systems allows for efficient processing of large amounts of data.
20110721 community-fdns-presentation
Presentation to GoodWorks Connect, July 21, 2011, Mattoon, IL by Steven Stern on behalf of Lumity
http://www.sterndata.com
http://www.lumity.org
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU.docx
BUSINESS INTELLIGENCE
AND ANALYTICS
RAMESH SHARDA
DURSUN DELEN
EFRAIM TURBAN
TENTH EDITION
.•
TENTH EDITION
BUSINESS INTELLIGENCE
AND ANALYTICS:
SYSTEMS FOR DECISION SUPPORT
Ramesh Sharda
Oklahoma State University
Dursun Delen
Oklahoma State University
Efraim Turban
University of Hawaii
With contributions by
J.E.Aronson
Tbe University of Georgia
Ting-Peng Liang
National Sun Yat-sen University
David King
]DA Software Group, Inc.
PEARSON
Boston Columbus Indianapolis New York San Francisco Upper Saddle River
Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto
Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
Editor in Chief: Stephanie Wall
Executive Editor: Bob Horan
Program Manager Team Lead: Ashley Santora
Program Manager: Denise Vaughn
Executive Marketing Manager: Anne Fahlgren
Project Manager Team Lead: Judy Leale
Project Manager: Tom Benfatti
Operations Specialist: Michelle Klein
Creative Director: Jayne Conte
Cover Designer: Suzanne Behnke
Digital Production Project Manager: Lisa
Rinaldi
Full-Service Project Management: George Jacob,
Integra Software
Solution
s.
Printer/Binder: Edwards Brothers Malloy-Jackson
Road
Cover Printer: Lehigh/Phoenix-Hagerstown
Text Font: Garamond
Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook
appear on the appropriate page within text.
Microsoft and/ or its respective suppliers make no representations about the suitability of the information
contained in the documents and related graphics published as part of the services for any purpose. All such
documents and related graphics are provided "as is" without warranty of any kind. Microsoft and/or its
respective suppliers hereby disclaim all warranties and conditions with regard to this information, including
all warranties and conditions of merchantability, whether express, implied or statutory, fitness for a particular
purpose, title and non-infringement. In no event shall Microsoft and/or its respective suppliers be liable for
any special, indirect or consequential damages or any damages whatsoever resulting from loss of use , data or
profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection
with the use or performance of information available from the services.
The documents and related graphics contained herein could include technical inaccuracies or typographical
errors. Changes are periodically added to the information here in. Microsoft and/or its respective suppliers may
make improvements and/or changes in the product(s) and/ or the program(s) described herein at any time.
Partial screen shots may be viewed in full within the software version specified.
Microsoft® Windows®, and Microsoft Office® are registered trademarks of the Microsoft Corporation in the U.S.A.
and other countries. This book is not .
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
BUSINESS INTELLIGENCE
AND ANALYTICS
RAMESH SHARDA
DURSUN DELEN
EFRAIM TURBAN
TENTH EDITION
.•
TENTH EDITION
BUSINESS INTELLIGENCE
AND ANALYTICS:
SYSTEMS FOR DECISION SUPPORT
Ramesh Sharda
Oklahoma State University
Dursun Delen
Oklahoma State University
Efraim Turban
University of Hawaii
With contributions by
J.E.Aronson
Tbe University of Georgia
Ting-Peng Liang
National Sun Yat-sen University
David King
]DA Software Group, Inc.
PEARSON
Boston Columbus Indianapolis New York San Francisco Upper Saddle River
Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto
Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
Editor in Chief: Stephanie Wall
Executive Editor: Bob Horan
Program Manager Team Lead: Ashley Santora
Program Manager: Denise Vaughn
Executive Marketing Manager: Anne Fahlgren
Project Manager Team Lead: Judy Leale
Project Manager: Tom Benfatti
Operations Specialist: Michelle Klein
Creative Director: Jayne Conte
Cover Designer: Suzanne Behnke
Digital Production Project Manager: Lisa
Rinaldi
Full-Service Project Management: George Jacob,
Integra Software
Solution
s.
Printer/Binder: Edwards Brothers Malloy-Jackson
Road
Cover Printer: Lehigh/Phoenix-Hagerstown
Text Font: Garamond
Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook
appear on the appropriate page within text.
Microsoft and/ or its respective suppliers make no representations about the suitability of the information
contained in the documents and related graphics published as part of the services for any purpose. All such
documents and related graphics are provided "as is" without warranty of any kind. Microsoft and/or its
respective suppliers hereby disclaim all warranties and conditions with regard to this information, including
all warranties and conditions of merchantability, whether express, implied or statutory, fitness for a particular
purpose, title and non-infringement. In no event shall Microsoft and/or its respective suppliers be liable for
any special, indirect or consequential damages or any damages whatsoever resulting from loss of use , data or
profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection
with the use or performance of information available from the services.
The documents and related graphics contained herein could include technical inaccuracies or typographical
errors. Changes are periodically added to the information here in. Microsoft and/or its respective suppliers may
make improvements and/or changes in the product(s) and/ or the program(s) described herein at any time.
Partial screen shots may be viewed in full within the software version specified.
Microsoft® Windows®, and Microsoft Office® are registered trademarks of the Microsoft Corporation in the U.S.A.
and other countries. This book is not ...
More Related Content
Viewers also liked
Gem 2011
The document analyzes data from the 2011 Global Entrepreneurship Monitor survey of over 140,000 adults in 54 economies. It finds:
1) Potential entrepreneurs in factor-driven economies perceive more opportunities to start businesses and have higher self-perceived capabilities than those in other development levels, though Bangladesh shows low capabilities and high fear of failure.
2) Total early-stage entrepreneurial activity is highest in efficiency-driven economies and lowest in factor-driven economies. Necessity-driven entrepreneurship is more common in factor-driven economies while opportunity-driven entrepreneurship dominates in innovation-driven economies.
3) Early-stage entrepreneurs in factor-driven economies tend to be younger and operate in
Machine keynote
Dylan Flemm is a music producer and engineer from New Jersey known as Machine. He completed his first major music production project at age 26. Machine has worked with bands such as Cobra Starship, Four Year Strong, and Suicide Silence. He is always striving for success and innovation in his current projects.
Dendroid nature of trees formation of wood - role of cambium - anticlinal &...
- Trees grow in diameter through cell division in the vascular cambium, a thin meristematic layer located between the xylem and phloem.
- The cambium undergoes two types of cell division: periclinal division radially and anticlinal division circumferentially.
- Periclinal division of cambial cells produces secondary xylem more frequently than divisions producing secondary phloem.
Effect of trees on chemical properties of soil alex
Trees have several positive effects on soil chemical properties:
1) They improve soil organic carbon content and nutrient recycling, which helps maintain soil fertility.
2) Plantation soils have higher levels of organic carbon, nitrogen, and available nutrients than bare land.
3) Soil properties like pH, nutrients, and organic matter generally decrease with increasing distance from trees.
Evaporation, transpiration and evapotranspiration
1) Evaporation, transpiration, and evapotranspiration are key processes in the hydrological cycle. Evaporation is the process by which liquid water changes to a gas, transpiration is the process by which plants release water vapor into the air, and evapotranspiration accounts for both soil evaporation and plant transpiration.
2) There are several methods for measuring evapotranspiration rates, including lysimeters, water balance methods, eddy covariance, and remote sensing techniques using satellites.
3) Potential evapotranspiration refers to the theoretical maximum amount of water that could be evaporated or transpired, while actual or effective evapotranspiration depends on available water supply from the soil and
Rodent management
This document discusses rodent management and control. It notes that rodents are pests that damage crops and transmit diseases. The most common rodent pests in India include rats, mice, bandicoots, and gerbils. An integrated pest management approach is recommended, including sanitation, exclusion through sealing entry points, trapping, poisoning baiting, and encouraging natural predators. Proper identification of rodent signs and species is important for effective control.
Viewers also liked (8)
Dendroid nature of trees formation of wood - role of cambium - anticlinal &...
Dendroid nature of trees formation of wood - role of cambium - anticlinal &...
Effect of trees on chemical properties of soil alex
Effect of trees on chemical properties of soil alex
Similar to VCE IT: From Data to Information
Machine Learning: Addressing the Disillusionment to Bring Actual Business Ben...
'Machine learning’ is one of those cringy phrases, almost (if not already) taboo in the world of high-tech SaaS. Applying true machine learning to an organization’s product(s), however, can have real benefit for the business, its clients, and the industry as a whole. From credit card fraud investigations to the way that a car is built, machine learning has permeated our everyday life without a common understanding of what it is and how to implement it.
Week 1 bua 235
The document introduces the lecturer, C. Matt Graham, for a class on Management Information Systems (MIS). It provides Graham's background and research interests. It then asks what MIS is and answers that MIS deals with developing and using information systems to help businesses achieve their goals and objectives. The document emphasizes that MIS is not about computer science or programming, but rather how information technology can be applied to solve business problems.
The challenges of big data, how data capable is your business? DQM Group
The document discusses the challenges of big data and how to measure an organization's data capabilities. It outlines the opportunities big data provides, such as recalculating risk portfolios and analyzing social media data. However, big data also presents challenges like needing a defined data strategy and ensuring talent and technology are aligned. It introduces the data maturity curve to assess an organization's data management practices and provides examples of metrics to measure people, processes, and technology. The document emphasizes having a data strategy, considering third parties and future legislation, and thinking carefully about current capabilities before pursuing big data initiatives.
Welcome To BUA 235-Intro
This document provides an introduction to an information systems course. It defines key terms like information systems, information technology, and management information systems. It discusses how information systems are used across various business functions. It also outlines some of the topics that will be covered in the course, including IT and decision making, security, databases, and enterprise systems. Finally, it discusses the roles of IT professionals and how metrics can be used to measure the efficiency and effectiveness of information systems.
Empathy Mapping: Developing Deeper Insights
Empathy mapping is a visual thinking technique and model developed by XPLANE to understand audiences, including users, customers, and any other players in a business ecosystem. Empathy mapping is a core game in Gamestorming by Dave Gray and Sunni Brown and has been featured by Alexander Osterwalder in Business Model Generation.
Getting started in data science (4:3)
This document provides an overview of data science and how to get started in the field. It defines data science and the roles of data scientists. It also outlines the data science process of framing questions, collecting and cleaning data, exploring patterns, and communicating results. Examples are given of how companies like LinkedIn and Netflix used data science to improve their businesses. The document recommends learning tools like SQL, analytics software, and machine learning algorithms and describes a data science bootcamp program for gaining these skills through mentorship and hands-on projects.
Getting started in data science (4:3)
This document provides an overview of data science and how to get started in the field. It defines data science and the roles of data scientists. It also outlines the data science process of framing questions, collecting and cleaning data, exploring patterns, and communicating results. Examples are given of how companies like LinkedIn and Netflix used data science to improve their businesses. The document recommends learning tools like SQL, analytics software, and machine learning algorithms and describes a data science bootcamp program for gaining these skills through mentorship and hands-on projects.
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
BUSINESS INTELLIGENCE
AND ANALYTICS
RAMESH SHARDA
DURSUN DELEN
EFRAIM TURBAN
TENTH EDITION
.•
TENTH EDITION
BUSINESS INTELLIGENCE
AND ANALYTICS:
SYSTEMS FOR DECISION SUPPORT
Ramesh Sharda
Oklahoma State University
Dursun Delen
Oklahoma State University
Efraim Turban
University of Hawaii
With contributions by
J.E.Aronson
Tbe University of Georgia
Ting-Peng Liang
National Sun Yat-sen University
David King
]DA Software Group, Inc.
PEARSON
Boston Columbus Indianapolis New York San Francisco Upper Saddle River
Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto
Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
Editor in Chief: Stephanie Wall
Executive Editor: Bob Horan
Program Manager Team Lead: Ashley Santora
Program Manager: Denise Vaughn
Executive Marketing Manager: Anne Fahlgren
Project Manager Team Lead: Judy Leale
Project Manager: Tom Benfatti
Operations Specialist: Michelle Klein
Creative Director: Jayne Conte
Cover Designer: Suzanne Behnke
Digital Production Project Manager: Lisa
Rinaldi
Full-Service Project Management: George Jacob,
Integra Software
Solution
s.
Printer/Binder: Edwards Brothers Malloy-Jackson
Road
Cover Printer: Lehigh/Phoenix-Hagerstown
Text Font: Garamond
Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook
appear on the appropriate page within text.
Microsoft and/ or its respective suppliers make no representations about the suitability of the information
contained in the documents and related graphics published as part of the services for any purpose. All such
documents and related graphics are provided "as is" without warranty of any kind. Microsoft and/or its
respective suppliers hereby disclaim all warranties and conditions with regard to this information, including
all warranties and conditions of merchantability, whether express, implied or statutory, fitness for a particular
purpose, title and non-infringement. In no event shall Microsoft and/or its respective suppliers be liable for
any special, indirect or consequential damages or any damages whatsoever resulting from loss of use, data or
profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection
with the use or performance of information available from the services.
The documents and related graphics contained herein could include technical inaccuracies or typographical
errors. Changes are periodically added to the information herein. Microsoft and/or its respective suppliers may
make improvements and/or changes in the product(s) and/ or the program(s) described herein at any time.
Partial screen shots may be viewed in full within the software version specified.
Microsoft® Windows®, and Microsoft Office® are registered trademarks of the Microsoft Corporation in the U.S.A.
and other countries. This book is not sp ...
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
BUSINESS INTELLIGENCE
AND ANALYTICS
RAMESH SHARDA
DURSUN DELEN
EFRAIM TURBAN
TENTH EDITION
.•
TENTH EDITION
BUSINESS INTELLIGENCE
AND ANALYTICS:
SYSTEMS FOR DECISION SUPPORT
Ramesh Sharda
Oklahoma State University
Dursun Delen
Oklahoma State University
Efraim Turban
University of Hawaii
With contributions by
J.E.Aronson
Tbe University of Georgia
Ting-Peng Liang
National Sun Yat-sen University
David King
]DA Software Group, Inc.
PEARSON
Boston Columbus Indianapolis New York San Francisco Upper Saddle River
Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto
Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
Editor in Chief: Stephanie Wall
Executive Editor: Bob Horan
Program Manager Team Lead: Ashley Santora
Program Manager: Denise Vaughn
Executive Marketing Manager: Anne Fahlgren
Project Manager Team Lead: Judy Leale
Project Manager: Tom Benfatti
Operations Specialist: Michelle Klein
Creative Director: Jayne Conte
Cover Designer: Suzanne Behnke
Digital Production Project Manager: Lisa
Rinaldi
Full-Service Project Management: George Jacob,
Integra Software
Solution
s.
Printer/Binder: Edwards Brothers Malloy-Jackson
Road
Cover Printer: Lehigh/Phoenix-Hagerstown
Text Font: Garamond
Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook
appear on the appropriate page within text.
Microsoft and/ or its respective suppliers make no representations about the suitability of the information
contained in the documents and related graphics published as part of the services for any purpose. All such
documents and related graphics are provided "as is" without warranty of any kind. Microsoft and/or its
respective suppliers hereby disclaim all warranties and conditions with regard to this information, including
all warranties and conditions of merchantability, whether express, implied or statutory, fitness for a particular
purpose, title and non-infringement. In no event shall Microsoft and/or its respective suppliers be liable for
any special, indirect or consequential damages or any damages whatsoever resulting from loss of use, data or
profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection
with the use or performance of information available from the services.
The documents and related graphics contained herein could include technical inaccuracies or typographical
errors. Changes are periodically added to the information herein. Microsoft and/or its respective suppliers may
make improvements and/or changes in the product(s) and/ or the program(s) described herein at any time.
Partial screen shots may be viewed in full within the software version specified.
Microsoft® Windows®, and Microsoft Office® are registered trademarks of the Microsoft Corporation in the U.S.A.
and other countries. This book is not sp ...
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU.docx
BUSINESS INTELLIGENCE
AND ANALYTICS
RAMESH SHARDA
DURSUN DELEN
EFRAIM TURBAN
TENTH EDITION
.•
TENTH EDITION
BUSINESS INTELLIGENCE
AND ANALYTICS:
SYSTEMS FOR DECISION SUPPORT
Ramesh Sharda
Oklahoma State University
Dursun Delen
Oklahoma State University
Efraim Turban
University of Hawaii
With contributions by
J.E.Aronson
Tbe University of Georgia
Ting-Peng Liang
National Sun Yat-sen University
David King
]DA Software Group, Inc.
PEARSON
Boston Columbus Indianapolis New York San Francisco Upper Saddle River
Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto
Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
Editor in Chief: Stephanie Wall
Executive Editor: Bob Horan
Program Manager Team Lead: Ashley Santora
Program Manager: Denise Vaughn
Executive Marketing Manager: Anne Fahlgren
Project Manager Team Lead: Judy Leale
Project Manager: Tom Benfatti
Operations Specialist: Michelle Klein
Creative Director: Jayne Conte
Cover Designer: Suzanne Behnke
Digital Production Project Manager: Lisa
Rinaldi
Full-Service Project Management: George Jacob,
Integra Software
Solution
s.
Printer/Binder: Edwards Brothers Malloy-Jackson
Road
Cover Printer: Lehigh/Phoenix-Hagerstown
Text Font: Garamond
Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook
appear on the appropriate page within text.
Microsoft and/ or its respective suppliers make no representations about the suitability of the information
contained in the documents and related graphics published as part of the services for any purpose. All such
documents and related graphics are provided "as is" without warranty of any kind. Microsoft and/or its
respective suppliers hereby disclaim all warranties and conditions with regard to this information, including
all warranties and conditions of merchantability, whether express, implied or statutory, fitness for a particular
purpose, title and non-infringement. In no event shall Microsoft and/or its respective suppliers be liable for
any special, indirect or consequential damages or any damages whatsoever resulting from loss of use, data or
profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection
with the use or performance of information available from the services.
The documents and related graphics contained herein could include technical inaccuracies or typographical
errors. Changes are periodically added to the information herein. Microsoft and/or its respective suppliers may
make improvements and/or changes in the product(s) and/ or the program(s) described herein at any time.
Partial screen shots may be viewed in full within the software version specified.
Microsoft® Windows®, and Microsoft Office® are registered trademarks of the Microsoft Corporation in the U.S.A.
and other countries. This book is not sp ...
Why MIS
People need information for entertainment, enlightenment, decision making, and problem solving. Data refers to raw facts while information involves data that has been manipulated and given meaning or context. Information systems take in data as input, process it, and produce useful information as output. Systems are made up of components that work together to achieve common goals and can be closed systems that operate independently or open systems that interface with other systems. The combination of human and computer capabilities in information systems allows for efficient processing of large amounts of data.
20110721 community-fdns-presentation
Presentation to GoodWorks Connect, July 21, 2011, Mattoon, IL by Steven Stern on behalf of Lumity
http://www.sterndata.com
http://www.lumity.org
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU.docx
BUSINESS INTELLIGENCE
AND ANALYTICS
RAMESH SHARDA
DURSUN DELEN
EFRAIM TURBAN
TENTH EDITION
.•
TENTH EDITION
BUSINESS INTELLIGENCE
AND ANALYTICS:
SYSTEMS FOR DECISION SUPPORT
Ramesh Sharda
Oklahoma State University
Dursun Delen
Oklahoma State University
Efraim Turban
University of Hawaii
With contributions by
J.E.Aronson
Tbe University of Georgia
Ting-Peng Liang
National Sun Yat-sen University
David King
]DA Software Group, Inc.
PEARSON
Boston Columbus Indianapolis New York San Francisco Upper Saddle River
Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto
Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
Editor in Chief: Stephanie Wall
Executive Editor: Bob Horan
Program Manager Team Lead: Ashley Santora
Program Manager: Denise Vaughn
Executive Marketing Manager: Anne Fahlgren
Project Manager Team Lead: Judy Leale
Project Manager: Tom Benfatti
Operations Specialist: Michelle Klein
Creative Director: Jayne Conte
Cover Designer: Suzanne Behnke
Digital Production Project Manager: Lisa
Rinaldi
Full-Service Project Management: George Jacob,
Integra Software
Solution
s.
Printer/Binder: Edwards Brothers Malloy-Jackson
Road
Cover Printer: Lehigh/Phoenix-Hagerstown
Text Font: Garamond
Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook
appear on the appropriate page within text.
Microsoft and/ or its respective suppliers make no representations about the suitability of the information
contained in the documents and related graphics published as part of the services for any purpose. All such
documents and related graphics are provided "as is" without warranty of any kind. Microsoft and/or its
respective suppliers hereby disclaim all warranties and conditions with regard to this information, including
all warranties and conditions of merchantability, whether express, implied or statutory, fitness for a particular
purpose, title and non-infringement. In no event shall Microsoft and/or its respective suppliers be liable for
any special, indirect or consequential damages or any damages whatsoever resulting from loss of use , data or
profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection
with the use or performance of information available from the services.
The documents and related graphics contained herein could include technical inaccuracies or typographical
errors. Changes are periodically added to the information here in. Microsoft and/or its respective suppliers may
make improvements and/or changes in the product(s) and/ or the program(s) described herein at any time.
Partial screen shots may be viewed in full within the software version specified.
Microsoft® Windows®, and Microsoft Office® are registered trademarks of the Microsoft Corporation in the U.S.A.
and other countries. This book is not .
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
BUSINESS INTELLIGENCE
AND ANALYTICS
RAMESH SHARDA
DURSUN DELEN
EFRAIM TURBAN
TENTH EDITION
.•
TENTH EDITION
BUSINESS INTELLIGENCE
AND ANALYTICS:
SYSTEMS FOR DECISION SUPPORT
Ramesh Sharda
Oklahoma State University
Dursun Delen
Oklahoma State University
Efraim Turban
University of Hawaii
With contributions by
J.E.Aronson
Tbe University of Georgia
Ting-Peng Liang
National Sun Yat-sen University
David King
]DA Software Group, Inc.
PEARSON
Boston Columbus Indianapolis New York San Francisco Upper Saddle River
Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto
Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
Editor in Chief: Stephanie Wall
Executive Editor: Bob Horan
Program Manager Team Lead: Ashley Santora
Program Manager: Denise Vaughn
Executive Marketing Manager: Anne Fahlgren
Project Manager Team Lead: Judy Leale
Project Manager: Tom Benfatti
Operations Specialist: Michelle Klein
Creative Director: Jayne Conte
Cover Designer: Suzanne Behnke
Digital Production Project Manager: Lisa
Rinaldi
Full-Service Project Management: George Jacob,
Integra Software
Solution
s.
Printer/Binder: Edwards Brothers Malloy-Jackson
Road
Cover Printer: Lehigh/Phoenix-Hagerstown
Text Font: Garamond
Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook
appear on the appropriate page within text.
Microsoft and/ or its respective suppliers make no representations about the suitability of the information
contained in the documents and related graphics published as part of the services for any purpose. All such
documents and related graphics are provided "as is" without warranty of any kind. Microsoft and/or its
respective suppliers hereby disclaim all warranties and conditions with regard to this information, including
all warranties and conditions of merchantability, whether express, implied or statutory, fitness for a particular
purpose, title and non-infringement. In no event shall Microsoft and/or its respective suppliers be liable for
any special, indirect or consequential damages or any damages whatsoever resulting from loss of use , data or
profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection
with the use or performance of information available from the services.
The documents and related graphics contained herein could include technical inaccuracies or typographical
errors. Changes are periodically added to the information here in. Microsoft and/or its respective suppliers may
make improvements and/or changes in the product(s) and/ or the program(s) described herein at any time.
Partial screen shots may be viewed in full within the software version specified.
Microsoft® Windows®, and Microsoft Office® are registered trademarks of the Microsoft Corporation in the U.S.A.
and other countries. This book is not ...
Getting started in ds (july 17) atlanta
This document provides an overview of data science and how to get started in the field. It defines a data scientist as a jack-of-all-trades who frames questions, collects and processes data, explores patterns in the data, and communicates findings. The field has emerged due to big data and a need to make sense of large datasets. Learning data science involves skills like SQL, data visualization, and machine learning algorithms. Thinkful offers 1-on-1 mentorship and career preparation programs to help people transition into data science careers.
Excellence in visulization
This will explain you what is data visualization,why we need it,what are the technologies in it ,tools available for it and it ends up with how can we get the excellence in visualization
Chapter10_mis.ppt
Here are some potential MIS solutions for the scenarios provided:
For the late orders issue, develop a tracking system to monitor order fulfillment from receipt to delivery. Set targets and alerts to address delays.
For the overwhelmed customer service team, implement an AI chatbot to handle common inquiries and complaints automatically via email. Forward only complex issues requiring human judgment.
For the long phone wait times, deploy an interactive voice response system with a virtual assistant to answer basic questions. Collect customer data to identify service gaps. Provide estimated wait times and call-back options for non-urgent requests.
For budget planning, create a forecasting model to analyze past income and expense trends. Factor in expected business conditions. Allow "what-if
Chapter10_mis.ppt
Here are some potential MIS solutions for the scenarios provided:
For the late orders issue, develop a tracking system to monitor order fulfillment from receipt to delivery. Set targets and alerts to address delays.
For the overwhelmed customer service team, implement an AI chatbot to handle common inquiries and complaints automatically via email/website. Route only complex issues to human agents to improve efficiency.
For long phone wait times, deploy an interactive voice response system with a virtual assistant to answer basic questions without needing an agent. Collect customer data to identify service gaps.
For budget planning, create a forecasting model to analyze past income trends and external factors to generate predictive revenue estimates for the coming year. Incorporate sensitivity analysis to plan for various
Chapter10_mis.ppt
Here are some potential MIS solutions for the scenarios provided:
For the late orders issue, develop a tracking system to monitor order fulfillment from receipt to delivery. Set targets and alerts to address delays.
For the overwhelmed customer service team, implement an AI chatbot to handle common inquiries and complaints automatically via email. Forward only complex issues requiring human judgment.
For the long phone wait times, deploy an interactive voice response system with a virtual assistant to answer basic questions. Collect customer data to identify service gaps. Provide estimated wait times and call-back options for non-urgent requests.
For budget planning, create a forecasting model to analyze past income and expense trends. Factor in expected business conditions. Allow "what-if
Chapter10_mis (1).ppt
Here are some potential MIS solutions for the scenarios provided:
For the late orders issue, develop a tracking system to monitor order fulfillment from receipt to delivery. Set benchmarks and alerts to identify bottlenecks.
For the overwhelmed customer service team, implement an AI chatbot to handle common inquiries and complaints automatically via email. Forward only complex issues requiring human judgment.
For the long phone wait times, deploy an interactive voice response system with a virtual assistant to answer basic questions. Collect customer data to identify service gaps. Provide estimated wait times and call-back options for non-urgent requests.
For budget planning, create a forecasting model to analyze past income and expense trends. Factor in expected growth, economic indicators, and new
Similar to VCE IT: From Data to Information (20)
Machine Learning: Addressing the Disillusionment to Bring Actual Business Ben...
Machine Learning: Addressing the Disillusionment to Bring Actual Business Ben...
The challenges of big data, how data capable is your business? DQM Group
The challenges of big data, how data capable is your business? DQM Group
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU.docx
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU.docx
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU.docx
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU.docx
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
BUSINESS INTELLIGENCE AND ANALYTICS RAMESH SHARDA DU
Recently uploaded
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
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.
Trusted Execution Environment for Decentralized Process Mining
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
AWS Cloud Cost Optimization Presentation.pptx
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
5th LF Energy Power Grid Model Meet-up Slides
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.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
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.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Operating System Used by Users in day-to-day life.pptx
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
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 SERP
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.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Main news related to the CCS TSI 2023 (2023/1695)
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 .
Recently uploaded (20)
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Trusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process Mining
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
Operating System Used by Users in day-to-day life.pptx
Operating System Used by Users in day-to-day life.pptx
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
VCE IT: From Data to Information
- 2. The Problem-solving Methodology* *The steps you follow to solve an information problem
- 10. Formats and Conventions download file type & size Top left Left aligned left aligned right aligned bold headings