The document provides a review for an exam on topics related to information systems including:
1) ERP systems, decision support, knowledge management, the systems development lifecycle, and digital business innovation.
2) The exam will consist of 25 multiple choice questions covering assigned readings, videos, lectures, and a mini-case study.
3) Key concepts covered include enterprise systems, types of decisions and data, online transaction processing vs online analytical processing, and disruptive innovation trends like driverless cars, the Internet of Things, and wearables.
Delivering the promise of data mining and predictive analytics requires an operational platform that is agile, business-friendly and decision-centric - decision modeling with DMN and business rules.
One of the most important steps in a predictive analytic effort is correctly framing the problem a way that creates a shared understanding of the business problem across business, IT and analytics teams. A decision requirements model makes it clear how to best leverage analytics. Watch the webinar recording at http://decisionmanagement.omnovia.com/archives/223762
There are tensions in the data structure choices we make. These relate to the value of information over time, the access / capture trade off, preservation and archiving considerations, and the need to effectively embed process / practice layering to allow efficient application of knowledge to action.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
Delivering the promise of data mining and predictive analytics requires an operational platform that is agile, business-friendly and decision-centric - decision modeling with DMN and business rules.
One of the most important steps in a predictive analytic effort is correctly framing the problem a way that creates a shared understanding of the business problem across business, IT and analytics teams. A decision requirements model makes it clear how to best leverage analytics. Watch the webinar recording at http://decisionmanagement.omnovia.com/archives/223762
There are tensions in the data structure choices we make. These relate to the value of information over time, the access / capture trade off, preservation and archiving considerations, and the need to effectively embed process / practice layering to allow efficient application of knowledge to action.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
Innovative approach for reporting and analysis to reduced analytical and IT resources at world's largest bank amidst chaotic, seismic change. Deploying information set (content) delivery with flexible, interactive analysis tools (in this case QlikView from QlikTech). Walk through tips of how business analyst survived and succeeded. National Center for Database Marketing Client X Client Case Study Presentation. NCDM presentation December 2008.
How In-memory Computing Drives IT SimplificationSAP Technology
Discover how the in-memory technology of SAP HANA can reduce complexity and simplify the IT landscape to foster real-time results, innovation and lower costs.
Business impact without data governanceJohn Bao Vuu
Presentation on common business issues and challenges in organizations that do not have formal data governance practices. Data management on the whole has evolved over the years, but data governance is still one of the greatest constraints in strategic transformation and operational effectiveness.
1. What is Data Governance?
2. Business Impact without Data Governance
3. Benefits of Data Governance
4. Implementing Data Governance
Implementing a Successful, Scalable, Governed BI ProgramPyramid Analytics
Explore elements, challenges, and tips in orchestrating a successful BI program. See related highlights from the BARC BI Survey 14 and from Gartner research. This slide presentation accompanies a webinar given in March 2015. For more contextual information related to these slides, see the list of content on the “Additional resources” slide of this presentation.
Solution Architecture And User And Customer ExperienceAlan McSweeney
User experience is the sum of experiences across all dimensions of all solutions and the user’s interaction with it including its functionality and quality attributes. It is the sum of all interactions with the solution and the results the solution provides. Solution usability is much, much more than a user interface
Users experience the complete operational solution across its entire scope and experience its functional and quality properties. The solution architect must be aware of the usability of designed solutions. Usability is not an afterthought: it must be embedded in the overall solution design from the start
The dimensions of solution usability are:
• Components of overall solution
• Functional components of solution
• Quality properties
The complete solution Is always much more than just a bunch of software. Implementing the end-to-end components of the solution positively impacts on solution usability and utility. Without the complete view there will be gaps in the usability of the solution.
Enterprise architecture needs to provide leadership in defining and implementing approach to measuring solution usability. Enterprise architecture needs to define standards and associated frameworks for
• Overall experience
• Solution usability
Each of these needs to include measurement and analysis framework. Solution architecture needs to incorporate these standards into solution designs. Individual solutions incorporate usability standards
Overall set of solutions comprise the experience.
The Business Analytics Value PropositionEric Stephens
Presentation made to the Nashville Technology Council Analytics Peer Network meeting on May 30, 2013. Discussion of the impact of analytics to an organization, along with use cases that can help convey the value of the practice to executives and other managers.
Don’t Mention The “A” Word – Trends In Continuing Business And IT MisalignmentAlan McSweeney
Despite years of emphasising the need for IT and business alignment, the disconnect between business and IT continues. IT focuses too much of pure technology. However, business expectations cam be unrealistic, based on part on IT not explaining itself to the business. IT technology trends are not relevant the business. The business is concerned with the results of investment in IT and sees technology as means to an end and not as ends in themselves. IT needs to structure itself so alignment pervades the entire IT function. IT must embed business alignment in the way it operates to ensure it remains relevant to the business. IT needs to mediate between the business and suppliers and technologies, acting as a lens focussing business needs on appropriate solutions. The gulf is between business and IT seems to be getting wider. Failure to ensure this alignment may lead to the business bypassing IT and going straight to suppliers and service providers. Disintermediation of IT is central to the business plans of many internet-based service providers. Failure to systematise alignment will expose IT to the danger of becoming irrelevant.
Backup and Disaster Recovery (BDR) combines data backup and disaster recovery solutions that work cohesively to ensure uptime and maximize productivity. Backup and Disaster recovery solutions are made to be simple and effective. Not only can a BDR plan save you money, it will ensure that you will survive if or when disaster strikes.
Servicing Dallas/Fort Worth, Abilene, Lubbock or Midland/Odessa and surrounding areas.
Solution Architecture and Solution AcquisitionAlan McSweeney
This describes a systematised and structured approach to solution acquisition or procurement that involves solution architecture from the start. This allows the true scope of both the required and subsequently acquired solution are therefore fully understood. By using such an approach, poor solution acquisition outcomes are avoided.
Solution architecture provides the structured approach to capturing all the cost contributors and knowing the true solution scope.
There is more packaged/product/service-based solution acquisition activity. There is an increasing trend of solutions hosted outside the organisation. Meanwhile solution acquisition outcomes are poor and getting worse.
Poor solution acquisition has long-term consequences and costs.
The to-be-acquired solution needs to operate in and co-exist with an existing solution topography and the solution acquisition process needs to be aware of and take account of this wider solution topography. Cloud-based or externally hosted and provided solutions do not eliminate the need for the solution to exist within the organisation solution topography.
Strategic misrepresentation in solution acquisition is the deliberate distortion or falsification of information relating to solution acquisition costs, complexity, required functionality, solution availability, resource availability, time to implement in order to get solution acquisition approval. Strategic misrepresentation is very real and its consequences can be very damaging.
Solution architecture has the skills and experience to define the real scope of the solution being acquired. An effective structured solution acquisition process, well-implemented and consistently applied, means dependable and repeatable solution acquisition and successful outcomes.
Conway's Law, Cognitive Diversity, Organisation Transformation And Solution D...Alan McSweeney
These topics may appear to be separate but are closely related to the need for an effective solution design process, approach and function.
Nearly 50 years ago, Dr Melvin Conway wrote a short and insightful article titled How Do Committees Invent? where he made a number of observations on the system and solution design process including “… organizations which design systems … are constrained to produce designs which are copies of the communication structures of these organizations.” which has become known as Conway’s Law. He identified organisation problems that lead to poor solution design.
Conway’s Law is a warning rather than a prediction. It provides an insight into the solution design problems that can occur if the solution design structures, processes and function are not optimised. What he describes does not have to happen but all too frequently does.
Cognitive Diversity has become a fashionable concept that is talked about more than implemented. It has been written about extensively by Dr Scott Page. The core concept is that “… a random group of intelligent problem solvers will outperform a group of the best problem solvers”.
The value of cognitive diversity to organisations is greatest in the thinking areas such as the solution design function. Managing diverse teams can be difficult and achieving cognitive diversity can be painful and challenging. Cognitive diversity of less value in pure operational and transactions areas where there is a reduced need for problem-solving.
Cognitive diversity protects the organisation against factors such as Cognitive Bias, Strategic Misrepresentation, Planning Fallacy, Optimism Bias, Focalism and Groupthink and their consequences.
Cognitive diversity protects against the effects of Conway’s Law.
Many organisations are attempting to transform themselves in response to external changes and drivers. Organisation transformation is frequently concerned with a migration from product-orientation to services-orientation characterised by responsiveness, customer centricity, self-service and flexibility. Information technology underpins successful and effective organisation transformation.
This is especially true of initiatives such as digital transformation. Digital transformation involves designing and implementing solutions across a wide range of application and system areas.
Being good at solution design means that solutions are defined, designed and delivered in a reliable, stable and innovative way to ensure that cost, time, required functionality and quality are constantly optimised to meet the needs of the business.
Good solution design mean:
• Being aware of all the options and selecting the most appropriate one subject to all constraints
• Avoiding all the conscious and unconscious biases that lead to bad solutions
Put simply, a cognitively diverse team designs better solutions.
Presented by Shaun Bennet at the 4th Annual East Africa Finance Summit
Single master data record of client
Unique client reference
Easy management of client references
Ability to match similar record on a continuous basis
The information age has changed the way the business world operates. No longer is intuition the driving force behind strategic development and tactics are advanced. While value may be derived from “gut feelings”, when backed up by data, they become much more effective.
Read on to find out more.
Altis Webinar: Use Cases For The Modern Data PlatformAltis Consulting
Several organisations have mentioned issues that they have found from choosing the wrong use cases to start their journey with a modern data platform.
In this session, NZ Regional Manager Alex Gray will cover some of those issues faced by organisations & how to pick the right use cases to get you started successfully on your journey.
Innovative approach for reporting and analysis to reduced analytical and IT resources at world's largest bank amidst chaotic, seismic change. Deploying information set (content) delivery with flexible, interactive analysis tools (in this case QlikView from QlikTech). Walk through tips of how business analyst survived and succeeded. National Center for Database Marketing Client X Client Case Study Presentation. NCDM presentation December 2008.
How In-memory Computing Drives IT SimplificationSAP Technology
Discover how the in-memory technology of SAP HANA can reduce complexity and simplify the IT landscape to foster real-time results, innovation and lower costs.
Business impact without data governanceJohn Bao Vuu
Presentation on common business issues and challenges in organizations that do not have formal data governance practices. Data management on the whole has evolved over the years, but data governance is still one of the greatest constraints in strategic transformation and operational effectiveness.
1. What is Data Governance?
2. Business Impact without Data Governance
3. Benefits of Data Governance
4. Implementing Data Governance
Implementing a Successful, Scalable, Governed BI ProgramPyramid Analytics
Explore elements, challenges, and tips in orchestrating a successful BI program. See related highlights from the BARC BI Survey 14 and from Gartner research. This slide presentation accompanies a webinar given in March 2015. For more contextual information related to these slides, see the list of content on the “Additional resources” slide of this presentation.
Solution Architecture And User And Customer ExperienceAlan McSweeney
User experience is the sum of experiences across all dimensions of all solutions and the user’s interaction with it including its functionality and quality attributes. It is the sum of all interactions with the solution and the results the solution provides. Solution usability is much, much more than a user interface
Users experience the complete operational solution across its entire scope and experience its functional and quality properties. The solution architect must be aware of the usability of designed solutions. Usability is not an afterthought: it must be embedded in the overall solution design from the start
The dimensions of solution usability are:
• Components of overall solution
• Functional components of solution
• Quality properties
The complete solution Is always much more than just a bunch of software. Implementing the end-to-end components of the solution positively impacts on solution usability and utility. Without the complete view there will be gaps in the usability of the solution.
Enterprise architecture needs to provide leadership in defining and implementing approach to measuring solution usability. Enterprise architecture needs to define standards and associated frameworks for
• Overall experience
• Solution usability
Each of these needs to include measurement and analysis framework. Solution architecture needs to incorporate these standards into solution designs. Individual solutions incorporate usability standards
Overall set of solutions comprise the experience.
The Business Analytics Value PropositionEric Stephens
Presentation made to the Nashville Technology Council Analytics Peer Network meeting on May 30, 2013. Discussion of the impact of analytics to an organization, along with use cases that can help convey the value of the practice to executives and other managers.
Don’t Mention The “A” Word – Trends In Continuing Business And IT MisalignmentAlan McSweeney
Despite years of emphasising the need for IT and business alignment, the disconnect between business and IT continues. IT focuses too much of pure technology. However, business expectations cam be unrealistic, based on part on IT not explaining itself to the business. IT technology trends are not relevant the business. The business is concerned with the results of investment in IT and sees technology as means to an end and not as ends in themselves. IT needs to structure itself so alignment pervades the entire IT function. IT must embed business alignment in the way it operates to ensure it remains relevant to the business. IT needs to mediate between the business and suppliers and technologies, acting as a lens focussing business needs on appropriate solutions. The gulf is between business and IT seems to be getting wider. Failure to ensure this alignment may lead to the business bypassing IT and going straight to suppliers and service providers. Disintermediation of IT is central to the business plans of many internet-based service providers. Failure to systematise alignment will expose IT to the danger of becoming irrelevant.
Backup and Disaster Recovery (BDR) combines data backup and disaster recovery solutions that work cohesively to ensure uptime and maximize productivity. Backup and Disaster recovery solutions are made to be simple and effective. Not only can a BDR plan save you money, it will ensure that you will survive if or when disaster strikes.
Servicing Dallas/Fort Worth, Abilene, Lubbock or Midland/Odessa and surrounding areas.
Solution Architecture and Solution AcquisitionAlan McSweeney
This describes a systematised and structured approach to solution acquisition or procurement that involves solution architecture from the start. This allows the true scope of both the required and subsequently acquired solution are therefore fully understood. By using such an approach, poor solution acquisition outcomes are avoided.
Solution architecture provides the structured approach to capturing all the cost contributors and knowing the true solution scope.
There is more packaged/product/service-based solution acquisition activity. There is an increasing trend of solutions hosted outside the organisation. Meanwhile solution acquisition outcomes are poor and getting worse.
Poor solution acquisition has long-term consequences and costs.
The to-be-acquired solution needs to operate in and co-exist with an existing solution topography and the solution acquisition process needs to be aware of and take account of this wider solution topography. Cloud-based or externally hosted and provided solutions do not eliminate the need for the solution to exist within the organisation solution topography.
Strategic misrepresentation in solution acquisition is the deliberate distortion or falsification of information relating to solution acquisition costs, complexity, required functionality, solution availability, resource availability, time to implement in order to get solution acquisition approval. Strategic misrepresentation is very real and its consequences can be very damaging.
Solution architecture has the skills and experience to define the real scope of the solution being acquired. An effective structured solution acquisition process, well-implemented and consistently applied, means dependable and repeatable solution acquisition and successful outcomes.
Conway's Law, Cognitive Diversity, Organisation Transformation And Solution D...Alan McSweeney
These topics may appear to be separate but are closely related to the need for an effective solution design process, approach and function.
Nearly 50 years ago, Dr Melvin Conway wrote a short and insightful article titled How Do Committees Invent? where he made a number of observations on the system and solution design process including “… organizations which design systems … are constrained to produce designs which are copies of the communication structures of these organizations.” which has become known as Conway’s Law. He identified organisation problems that lead to poor solution design.
Conway’s Law is a warning rather than a prediction. It provides an insight into the solution design problems that can occur if the solution design structures, processes and function are not optimised. What he describes does not have to happen but all too frequently does.
Cognitive Diversity has become a fashionable concept that is talked about more than implemented. It has been written about extensively by Dr Scott Page. The core concept is that “… a random group of intelligent problem solvers will outperform a group of the best problem solvers”.
The value of cognitive diversity to organisations is greatest in the thinking areas such as the solution design function. Managing diverse teams can be difficult and achieving cognitive diversity can be painful and challenging. Cognitive diversity of less value in pure operational and transactions areas where there is a reduced need for problem-solving.
Cognitive diversity protects the organisation against factors such as Cognitive Bias, Strategic Misrepresentation, Planning Fallacy, Optimism Bias, Focalism and Groupthink and their consequences.
Cognitive diversity protects against the effects of Conway’s Law.
Many organisations are attempting to transform themselves in response to external changes and drivers. Organisation transformation is frequently concerned with a migration from product-orientation to services-orientation characterised by responsiveness, customer centricity, self-service and flexibility. Information technology underpins successful and effective organisation transformation.
This is especially true of initiatives such as digital transformation. Digital transformation involves designing and implementing solutions across a wide range of application and system areas.
Being good at solution design means that solutions are defined, designed and delivered in a reliable, stable and innovative way to ensure that cost, time, required functionality and quality are constantly optimised to meet the needs of the business.
Good solution design mean:
• Being aware of all the options and selecting the most appropriate one subject to all constraints
• Avoiding all the conscious and unconscious biases that lead to bad solutions
Put simply, a cognitively diverse team designs better solutions.
Presented by Shaun Bennet at the 4th Annual East Africa Finance Summit
Single master data record of client
Unique client reference
Easy management of client references
Ability to match similar record on a continuous basis
The information age has changed the way the business world operates. No longer is intuition the driving force behind strategic development and tactics are advanced. While value may be derived from “gut feelings”, when backed up by data, they become much more effective.
Read on to find out more.
Altis Webinar: Use Cases For The Modern Data PlatformAltis Consulting
Several organisations have mentioned issues that they have found from choosing the wrong use cases to start their journey with a modern data platform.
In this session, NZ Regional Manager Alex Gray will cover some of those issues faced by organisations & how to pick the right use cases to get you started successfully on your journey.
Although Big Data is changing enterprise data architecture models, support for Big Data extends beyond the walls of IT. The most successful companies are focused on building strong business cases for Big Data to drive support, adoption and funding though the enterprise.
This webinar investigated the two perspectives in constructing a business case for Big Data as well as how to create a compelling business case for Big Data success.
During this webinar, we covered:
-Challenges Creating Business Cases for Big Data
-Two perspectives for building Big Data business-cases
-Building the business-focused case and getting to monetized benefits
-Fortifying your business case with IT-benefits
Data Governance for EPM Systems with Oracle DRMUS-Analytics
In this training session, data governance guru Greg Briscoe explains how to deploy an enterprise data governance initiative utilizing Oracle's Data Relationship Management (DRM) application.
Structure Your Data Science Teams For Best OutcomesGramener
Gramener's Head of Analytics, Ganes Kesari conducted this webinar and discussed the following points :
-Why do data analytics and visualization initiatives require teams to work in silos?
-What are the best organizational structures for data science?
-As your data journey progresses, how should the organizational structure evolve?
-Best methods for encouraging team collaboration in data projects
This is a unique webinar designed for Executives, Chief Analytics Officers, Heads of Analytics, Directors, Technology Leaders, and Managers that work with data science teams on a daily basis.
To check out the full webinar visit: https://info.gramener.com/data-science-teams-structure-for-best-outcomes
To contact us & book a free demo visit: https://gramener.com/demorequest/
As businesses have an increasing obligation to demonstrate compliance with regulations there is a need for a business architecture view that not only tracks regulations impact but also connects seamlessly to diverse, distributed implementations in automated systems and manual procedures. The Decision Model Notation (DMN) has been used to create a decision architecture for regulatory compliance at a leading global financial organization. This Regulatory Architecture includes business decisions impacted by a variety of global financial regulations – the Dodd Frank Act, in particular. This business architecture has been modeled in the form of decision requirement models and aligned with business process and business organization architectures. Presented by Gagan Saxena of Decision Management Solutions at the Building Business Capability Conference (BBCCon) 2015
Modern Data Challenges require Modern Graph TechnologyNeo4j
This session focuses on key data trends and challenges impacting enterprises. And, how graph technology is evolving to future-proof data strategy and architectures.
James A. O'Brien, and George Marakas. Management Information Systems with MISource 2007, 8th ed. Boston, MA: McGraw-Hill, Inc., 2007. ISBN: 13 9780073323091
Build it…will they come by Shawn TrainerData Con LA
Abstract:- The truth about enabling self-service (and why you need it) Data is growing astronomically, historically and in real-time. So is the need for exploration and discovery. One size doesn’t fit all. We’ll be covering how to efficiently deliver information on-demand and promote self-service adoption with the right data platform.
Similar to MIS 2101 Diamond Peer Exam 2 Review (20)
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
4. Enterprise Resource Planning
▸ Integrate processes across various business
functions into one complete system
▸ Central feature: shared database
○ Different divisions rely on same information
○ Continuously updated view
▸ High risk, high cost, great benefits
▸ Improves operations & decision making → lowers
cost
4
5. Value Proposition
5
▸ Global, real-time view of data → companies can
address concerns proactively and drive
improvements
▸ Improves compliance with regulatory standards &
reduces risk
▸ Automates core business operations
▸ Enhances customer service by providing one source
for billing and relationship tracking.
6. Legacy Systems
6
▸ Separate systems that really do make each functional area more efficient
▸ Problems:
○ Standalone systems
○ Organization as a whole not more efficient
○ Multiple copies of data
○ Build and support all system interfaces
○ Different computing platforms
○ Each system interface designed differently
Sales Warehouse Accounting
7. Challenges & Benefits of ERP
7
Challenges
▸ Adoption
▸ Complex Configuration
▸ Complex Implementation
▸ High Risks
▸ High Costs
▸ Internally focused
Benefits
▸ Data-driven decision making
▸ Standardize business
processes based on industry
best practices
▸ Reduce operating costs
10. The Decision Making Process
▸ Define the problem
▸ Identify limiting factors
▸ Develop potential alternatives
○ Analyze alternatives
○ Select best alternative
▸ Implement Decision
▸ Establish a Control & Evaluation System
10
11. Types of Data
11
Structured
▸ Everything we’ve done in this
course thus far!
▸ ERD
▸ Organizational databases
▸ ERP
▸ Clearly defined data entities,
types, relationship, hierarchies
Unstructured
▸ 90% of data
▸ User generated data
○ Email, facebook posts,
tweets, comments on
sites, etc.
▸ Chaotic
13. Data Analytics
13
▸ Making sense of large data sets and unlocking
patterns for better decision making
▸ Often using data visualization
Data
▸ Raw
▸ Unstructured
▸ Meaningless
▸ Factual
Information
▸ Where data is
captured
▸ Meaningful data &
statistics
Knowledge
▸ Gaining insight
▸ Making actionable
decisions
Descriptive Analytics
▸ What is happening
Predictive Analytics
▸ What will happen
14. OLTP vs. OLAP
14
Online Transaction Processing
▸ facilitate and manage
transaction-oriented
applications
▸ large number of transactions
▸ focus on quick data entry and
retrieval
Online AnalyticaL Processing
▸ analyzing data to look for
insights
▸ aggregated, historical data
stored in multidimensional
schemas
▸ low volume of transactions
▸ more complex queries
▸ data mining
19. Knowledge Management
▸ Making the best use of knowledge by capturing,
developing, sharing, and effectively using
organizational knowledge.
▸ What KM consists of:
○ Content Management
○ Expertise Location
○ Lessons Learned
○ Communities of Practice (COPs)
19
20. Tacit vs. Explicit
20
Tacit Knowledge
▸ Internalized knowledge
▸ Gained through experiences
▸ Practical & action oriented
▸ Hard to transfer by writing it
down or verbalizing it
▸ Knowledge is lost when
people retire
Explicit Knowledge
▸ Readily articulated, codified,
accessed, verbalized
▸ Easily transmitted to others
▸ Mostly stored in certain media:
○ Manuals, how-to videos
○ Encyclopedias
○ Textbooks
○ Works of art
○ Product design
21. 21
Challenges & Benefits of KM
Challenges
▸ Difficult employee buy-in
▸ Knowledge overload
▸ Information obsolesce
▸ Being enamored by the
technology and forgetting the
goal
Benefits
▸ Improve organization’s
performance
▸ Decrease learning curve of
new employees
▸ Prevent “reinvention of the
wheel”
23. Systems Development Lifecycle
▸ aka application development lifecycle
▸ Process for planning, creating, testing, and
deploying an information system
○ Hardware only, software only, or both
▸ Waterfall vs. Agile Methodologies
23
25. Agile Methodology
25
Iterative approach
▸ Typically in software
development
▸ Focus on limited project
scope & multiple
iterations to improve
products
▸ End solution is unknown
26. Build vs. Buy
26
Build custom software
▸ Building large business that can
spread cost of system over a huge
number of clients
▸ Off-the-shelf software can’t meet
every need
▸ Canned solutions are rigid
▸ OTS software may not be
compatible with other programs
Buy Canned Solutions
▸ Limited budget
▸ Lack of technical proficiency
▸ Lack of time
▸ Great canned software is already
available
▸ Technology would NOT be a
competitive advantage
27. Regulatory Compliance
27
Sarbanes-Oxley
Compliance related to corporate accounting
HIPAA
Health Insurance Portability & Accountability Act
HITECH
Health Information Technology for Economic and Clinical Health Care Act
(adds onto HIPAA)
FDA
Food & Drug Administration - establishes many compliance considerations
CMS
Centers for Medicare & Medicaid Services - oversees key health care
programs and HIPAA/HITECH
Know how they
affect IT/IS
projects!
29. Disruptive Innovation
▸ Internet removes trade-off between richness of info
and reach
○ previously a competitive advantage
▸ Internet intensifies competition and decreases
profit margin
▸ The disruptive power of internet:
○ Marketing products and services
○ Processing payments
○ Discovering new prospects
○ VR driven business
○ More crime opportunities
29
30. 2017 Trends in Consumer Electronics
30
Different Realities
Driverless Cars
The Cloud and IoT
Wearables Artificial Intelligence
31. Long Tail
31
Normal Distribution
▸ “Bell curve”
▸ Final grades in MIS 2101
▸ Symmetry around μ
Long Tail
▸ Better matching consumers to what
they are searching for
○ Willing to pay more
○ There’s money in the tail!
▸ Vast expansion of variety
○ variety > bestsellers
○ ZERO inventory cost
▸ Ex. Amazon, Netflix, Google ads
