Digital transformation for plm is not an evolutionJos Voskuil
If you have been following my blog in the past two years, you may have noticed that I am exploring ways to solve the transition from traditional, coordinated PLM processes towards future, connected PLM. In this session I shared with the audience that digital transformation is disruptive for PLM and requires thinking in two modes. Thinking in two modes is not what people like, however organization can run in two modes. In addition, I shared some examples from digital transformation stories that illustrate there was no transformation, either failure or smoke and mirrors.
Master Data Management - Aligning Data, Process and Governance Precisely
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
A Reference Process Model for Master Data ManagementBoris Otto
The management of master data (MDM) plays an important role for companies in responding to a number of business drivers such as regulatory compliance and efficient reporting. With the understanding of MDM’s impact on the business drivers companies are today in the process of organizing MDM on corporate level. While managing master data is an organizational task that cannot be encountered by simply implementing a software system, business processes are necessary to meet the challenges efficiently. This paper describes the design process of a reference process model for MDM. The model design process spanned several iterations comprising multiple design and evaluation cycles, including the model’s application in three participative case studies. Practitioners may use the reference model as an instrument for the analysis and design of MDM processes. From a scientific perspective, the reference model is a design artifact that represents an abstraction of processes in the field of MDM.
Digital transformation for plm is not an evolutionJos Voskuil
If you have been following my blog in the past two years, you may have noticed that I am exploring ways to solve the transition from traditional, coordinated PLM processes towards future, connected PLM. In this session I shared with the audience that digital transformation is disruptive for PLM and requires thinking in two modes. Thinking in two modes is not what people like, however organization can run in two modes. In addition, I shared some examples from digital transformation stories that illustrate there was no transformation, either failure or smoke and mirrors.
Master Data Management - Aligning Data, Process and Governance Precisely
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
A Reference Process Model for Master Data ManagementBoris Otto
The management of master data (MDM) plays an important role for companies in responding to a number of business drivers such as regulatory compliance and efficient reporting. With the understanding of MDM’s impact on the business drivers companies are today in the process of organizing MDM on corporate level. While managing master data is an organizational task that cannot be encountered by simply implementing a software system, business processes are necessary to meet the challenges efficiently. This paper describes the design process of a reference process model for MDM. The model design process spanned several iterations comprising multiple design and evaluation cycles, including the model’s application in three participative case studies. Practitioners may use the reference model as an instrument for the analysis and design of MDM processes. From a scientific perspective, the reference model is a design artifact that represents an abstraction of processes in the field of MDM.
This presentation covers the definition of Master Data Management, outlines 5 essential elements of MDM, and describe 10 real-world best practices for MDM and data governance and 4 advanced topic areas, based on years of experience in the field.
Introduction to Data Governance
Seminar hosted by Embarcadero technologies, where Christopher Bradley presented a session on Data Governance.
Drivers for Data Governance & Benefits
Data Governance Framework
Organization & Structures
Roles & responsibilities
Policies & Processes
Programme & Implementation
Reporting & Assurance
Slides: Data Monetization — Demonstrating Quantifiable Financial Benefits fro...DATAVERSITY
Data monetization is a cross-functional discipline that draws from best practices in Enterprise Data Management (EDM), technology, legal engineering, and finance to leverage data to increase revenues, reduce costs, and manage risk. EDM programs have generally found it extremely difficult to get senior management buy-in the absence of regulatory pressures or the fear of a data breach. Data monetization is an approach to drive quantifiable business benefits from data and information. This bottom-line driven approach is key to generating business adoption with stakeholders.
This session will review the key aspects of data monetization:
• Introduction to Data Monetization
• Identify Stakeholders
• Build Inventory of Use Cases
• Develop Business Cases
• Execute Initiatives
• Realize Business Benefits
• Legal Engineering and Regulatory Compliance
• Data Marketplace
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
Master Data Management - Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) can provide significant value to the organization in creating consistent key data assets such as Customer, Product, Supplier, Patient, and the list goes on. But getting MDM “right” requires a strategic mix of Data Architecture, business process, and Data Governance. Join this webinar to learn how to find the “sweet spot” between technology, design, process, and people for your MDM initiative.
Use Transformation Strategy PowerPoint Presentation Slides to bring out a successful transformation. Be it a digital transformation, cultural transformation, organizational transformation or any other transformation, these content-ready professionally designed transformation strategy PowerPoint templates will help you execute the change without any hassles. This presentation covers transformation plan, strategy, checklist, obstacles, etc to let you have a smooth transition. Add these ready-made transformation strategy PPT slides to transform your organization to remain competitive or to serve your clients better. Implement a successful transition using ready-to-use change management PowerPoint slideshow. This deck comprises of PPT templates such as gap analysis, transformation readiness checklist, transformation obstacles, resistance management plan, communication plan, etc. Develop transformation strategy and design a plan to achieve the intended goals. This complete presentation will help you identify the potential risks to execute an effective transformation in an organization. Download transformation strategy PPT templates to achieve the desired goals. These templates are completely customizable. You can edit the color, text, icon, and font size as per your need. Grab this complete presentation now. Trigger the imagination of your audience with our Transformation Strategy Powerpoint Presentation Slides. Create a vision of the future with your thoughts.
Data Mesh in Practice - How Europe's Leading Online Platform for Fashion Goes...Dr. Arif Wider
A talk presented by Max Schultze from Zalando and Arif Wider from ThoughtWorks at NDC Oslo 2020.
Abstract:
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
At Zalando - europe’s biggest online fashion retailer - we realised that accessibility and availability at scale can only be guaranteed when moving more responsibilities to those who pick up the data and have the respective domain knowledge - the data owners - while keeping only data governance and metadata information central. Such a decentralized and domain focused approach has recently been coined a Data Mesh.
The Data Mesh paradigm promotes the concept of Data Products which go beyond sharing of files and towards guarantees of quality and acknowledgement of data ownership.
This talk will take you on a journey of how we went from a centralized Data Lake to embrace a distributed Data Mesh architecture and will outline the ongoing efforts to make creation of data products as simple as applying a template.
The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization’s data management capabilities. The model allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and strengths to leverage. The assessment method reveals priorities, business needs, and a clear, rapid path for process improvements. This webinar will describe the DMM, its evolution, and illustrate its use as a roadmap guiding organizational data management improvements.
Learning Objectives:
Purpose of the DMM: How to use the DMM to assess and improve Data Management Maturity
Getting the most from a DMM assessment: DMM dependencies and requirements for use
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Examples, techniques, and lessons learned building data products over the last 3 years at LinkedIn.
Pete Skomoroch is a Principal Data Scientist at LinkedIn where he leads a team focused on building data products leveraging LinkedIn's powerful identity and reputation data.
The talk describes some techniques and best practices applied to develop products like LinkedIn Skills & Endorsements.
This was the inaugural UberData Tech Talk, held in SF at Uber HQ.
The digital transformation of CPG and manufacturingCloudera, Inc.
Both CPG (Consumer Packaged Goods) and manufacturing industries face similar challenges: in order to differentiate and innovate, they need to draw insight from the one thing they both have in abundance - data. The source of the data may be different; the opportunity is always innovation and differentiation. For CPG, forever changing buyer expectations must flow into product development and sales. For both CPG and manufacturing, Industry 4.0 promises improved efficiency, lower costs, and higher revenues. Becoming data-driven is the key for both industries and requires clever combination of machine learning, analytics and cloud for success.
In this webinar, business strategist Frank Vullers will discuss how Cloudera's platform is central to this century’s industrial revolution: the digital transformation of the CPG and manufacturing industries.
Empowering Mobile Collaboration for Today’s Workforce without losing control!...Mobile Edge Event
The business workplace has evolved dramatically with mobility now a key determinant of success...or failure. Security concerns exist however around possible data loss and "shadow IT" and these must be managed effectively in order to balance user agility with corporate governance. Join Box to understand how enterprises are making secure mobile collaboration a reality and transforming how work gets done
The average workday has become disjointed. While workers enjoy the “freedom” that comes from being able to do their jobs without being chained to their desks, it is not without its obstacles. There is certainly no shortage of mobile apps for employees, yet each app only does one thing well, and it is becoming clear that work information is spread out between too many apps. As employees rely more on mobile access, the elusive single-screen, unified mobile experience could be the answer to enterprise information discovery woes. The presentation discusses ways to overcome the information overload challenge using contextual capabilities now provided by mobile devices, a consolidated user experience, and activity streams.
This presentation covers the definition of Master Data Management, outlines 5 essential elements of MDM, and describe 10 real-world best practices for MDM and data governance and 4 advanced topic areas, based on years of experience in the field.
Introduction to Data Governance
Seminar hosted by Embarcadero technologies, where Christopher Bradley presented a session on Data Governance.
Drivers for Data Governance & Benefits
Data Governance Framework
Organization & Structures
Roles & responsibilities
Policies & Processes
Programme & Implementation
Reporting & Assurance
Slides: Data Monetization — Demonstrating Quantifiable Financial Benefits fro...DATAVERSITY
Data monetization is a cross-functional discipline that draws from best practices in Enterprise Data Management (EDM), technology, legal engineering, and finance to leverage data to increase revenues, reduce costs, and manage risk. EDM programs have generally found it extremely difficult to get senior management buy-in the absence of regulatory pressures or the fear of a data breach. Data monetization is an approach to drive quantifiable business benefits from data and information. This bottom-line driven approach is key to generating business adoption with stakeholders.
This session will review the key aspects of data monetization:
• Introduction to Data Monetization
• Identify Stakeholders
• Build Inventory of Use Cases
• Develop Business Cases
• Execute Initiatives
• Realize Business Benefits
• Legal Engineering and Regulatory Compliance
• Data Marketplace
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
Master Data Management - Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) can provide significant value to the organization in creating consistent key data assets such as Customer, Product, Supplier, Patient, and the list goes on. But getting MDM “right” requires a strategic mix of Data Architecture, business process, and Data Governance. Join this webinar to learn how to find the “sweet spot” between technology, design, process, and people for your MDM initiative.
Use Transformation Strategy PowerPoint Presentation Slides to bring out a successful transformation. Be it a digital transformation, cultural transformation, organizational transformation or any other transformation, these content-ready professionally designed transformation strategy PowerPoint templates will help you execute the change without any hassles. This presentation covers transformation plan, strategy, checklist, obstacles, etc to let you have a smooth transition. Add these ready-made transformation strategy PPT slides to transform your organization to remain competitive or to serve your clients better. Implement a successful transition using ready-to-use change management PowerPoint slideshow. This deck comprises of PPT templates such as gap analysis, transformation readiness checklist, transformation obstacles, resistance management plan, communication plan, etc. Develop transformation strategy and design a plan to achieve the intended goals. This complete presentation will help you identify the potential risks to execute an effective transformation in an organization. Download transformation strategy PPT templates to achieve the desired goals. These templates are completely customizable. You can edit the color, text, icon, and font size as per your need. Grab this complete presentation now. Trigger the imagination of your audience with our Transformation Strategy Powerpoint Presentation Slides. Create a vision of the future with your thoughts.
Data Mesh in Practice - How Europe's Leading Online Platform for Fashion Goes...Dr. Arif Wider
A talk presented by Max Schultze from Zalando and Arif Wider from ThoughtWorks at NDC Oslo 2020.
Abstract:
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
At Zalando - europe’s biggest online fashion retailer - we realised that accessibility and availability at scale can only be guaranteed when moving more responsibilities to those who pick up the data and have the respective domain knowledge - the data owners - while keeping only data governance and metadata information central. Such a decentralized and domain focused approach has recently been coined a Data Mesh.
The Data Mesh paradigm promotes the concept of Data Products which go beyond sharing of files and towards guarantees of quality and acknowledgement of data ownership.
This talk will take you on a journey of how we went from a centralized Data Lake to embrace a distributed Data Mesh architecture and will outline the ongoing efforts to make creation of data products as simple as applying a template.
The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization’s data management capabilities. The model allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and strengths to leverage. The assessment method reveals priorities, business needs, and a clear, rapid path for process improvements. This webinar will describe the DMM, its evolution, and illustrate its use as a roadmap guiding organizational data management improvements.
Learning Objectives:
Purpose of the DMM: How to use the DMM to assess and improve Data Management Maturity
Getting the most from a DMM assessment: DMM dependencies and requirements for use
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Examples, techniques, and lessons learned building data products over the last 3 years at LinkedIn.
Pete Skomoroch is a Principal Data Scientist at LinkedIn where he leads a team focused on building data products leveraging LinkedIn's powerful identity and reputation data.
The talk describes some techniques and best practices applied to develop products like LinkedIn Skills & Endorsements.
This was the inaugural UberData Tech Talk, held in SF at Uber HQ.
The digital transformation of CPG and manufacturingCloudera, Inc.
Both CPG (Consumer Packaged Goods) and manufacturing industries face similar challenges: in order to differentiate and innovate, they need to draw insight from the one thing they both have in abundance - data. The source of the data may be different; the opportunity is always innovation and differentiation. For CPG, forever changing buyer expectations must flow into product development and sales. For both CPG and manufacturing, Industry 4.0 promises improved efficiency, lower costs, and higher revenues. Becoming data-driven is the key for both industries and requires clever combination of machine learning, analytics and cloud for success.
In this webinar, business strategist Frank Vullers will discuss how Cloudera's platform is central to this century’s industrial revolution: the digital transformation of the CPG and manufacturing industries.
Empowering Mobile Collaboration for Today’s Workforce without losing control!...Mobile Edge Event
The business workplace has evolved dramatically with mobility now a key determinant of success...or failure. Security concerns exist however around possible data loss and "shadow IT" and these must be managed effectively in order to balance user agility with corporate governance. Join Box to understand how enterprises are making secure mobile collaboration a reality and transforming how work gets done
The average workday has become disjointed. While workers enjoy the “freedom” that comes from being able to do their jobs without being chained to their desks, it is not without its obstacles. There is certainly no shortage of mobile apps for employees, yet each app only does one thing well, and it is becoming clear that work information is spread out between too many apps. As employees rely more on mobile access, the elusive single-screen, unified mobile experience could be the answer to enterprise information discovery woes. The presentation discusses ways to overcome the information overload challenge using contextual capabilities now provided by mobile devices, a consolidated user experience, and activity streams.
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar M...Geert Van Landeghem
How to become big data driven? Wat does it mean to be data-driven and how data science and big data help to become more data-driven. Finally, how to build a near real-time (big) data platform.
SFBigAnalytics- hybrid data management using cdapChester Chen
Cloud has emerged as a critical enabler of digital transformation, with the aim of reducing IT overheads and costs. However, cloud
migration is not instantaneous for a variety of reasons including data sensitivity, compliance and application performance. This results in the creation of diverse hybrid and multi-cloud environments and amplifies data management and integration challenges. This talk demonstrates how CDAP’s flexibility can allow you to utilize your existing on-premises infrastructure, as you evolve to the latest Big Data and Cloud services at your own pace, all while providing you a single, unified view of all your data, wherever it resides.
Speaker: Bhooshan Mogal, Google
Bhooshan Mogal is a Product Manager at Google, where he is focused on delivering best-in-class Data and Analytics services to GCP users. Prior to Google, he worked on data systems at Cask Data Inc, Pivotal and Yahoo.
Topics covered include:
Cloud ERP’s Security and Performance
Mobile ERP—Work from Anywhere
Real-Time Awareness via loT
Hyperscalers
Smarter ERP (AI, RPA, etc.)
ERP as the SCM backbone
Blockchain for Traceability?
ERP in 2022: Enabling “Doing More with What You Have”
Reimagined ERP
2020 Big Data & Analytics Maturity Survey ResultsCarole Gunst
The 2020 Big Data & Analytics Maturity Survey polled more than 150 data and analytics leaders, IT/business intelligence practitioners, and business professionals from multiple industries around the globe on their enterprise cloud strategy, and their data and analytics priorities and challenges. Here are the results of the survey.
2020 Big Data & Analytics Maturity Survey ResultsAtScale
Together with Cloudera and ODPI.org, AtScale surveyed over 150 data & analytics leaders. This presentation reveals the results of the survey. To download the report, go to: https://tinyurl.com/qmwofof
Collaboration 3.0: 8 trends today that will define our tools tomorrowalexschiff
A lot of talk has been made of trends redefining the tools people use to collaborate and get things done: cloud computing, rise (and ubiquity) of mobile, consumerization of enterprise IT, etc. These aren't "predictions" anymore — they're well-accepted facts, and the opportunities to build large companies on this trend are getting smaller.
So, what's next? What will the third wave (details within) of collaboration look like? To answer that question, I turned to 18 product leaders and executives working in the field and asked, "What are the trends forming today that will redefine the tools we use to work together tomorrow?"
Here are the top 7 digital transformation trends in 2022. 1. Working Environments and Hybrid Experiences 2. AI, ML, and hyperautomation 3. Collaboration
The Need for a Governance Digital ThreadJos Voskuil
Presentation given at the PLM Roadmap / PDT Europe 2023 conference in Paris related to the importance of a digital infrastructure to support (environmental) governance
Sustainability Demands Virtualization and It Should Happen FastJos Voskuil
The digitization process is on-going (slow) where sustainability demands digitization in order to deliver virtual twins
(presentation in the context of 3DEXEPIENCE User conference)
Disruption extinction or still evolution - 2021Jos Voskuil
Presentation related to the PLM Road Map & PDT Spring 2021 conference addressing new technologies providing the needs to transform PLM trying to avoid disruption
A first time notion that due to data model changes - from relational, to object-oriented/document driven and now object-oriented data-driven everytime creates challenges for upgrades - impossible to foresee
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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!
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
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.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
14. 14
Whatdoes it mean: Coordinated?
Providing the right information at the right time in the right context
Characteristics:
Caters for linear processes
Keeps silos/systems in place
Manual/Automated data conversions
Provides measurable results /
comparable processes
Difficult to implement as it requires horizontal coordination