Measuring the costs and benefits of RDM to supporta a business caseJisc RDM
Graham Hay of Cambridge Econometrics on measuring the costs and benefits of RDM to support a business case for the Research Data Network event in May 2016, Cardiff University.
This document discusses learning analytics and the potential uses of various institutional data sources. It describes how combining data from student records, the virtual learning environment (VLE), library usage, attendance records, and other sources through a learning analytics service could help improve student retention and attainment, enhance teaching quality, enable personalized learning, and support student health and well-being. Specific opportunities mentioned include predicting at-risk students, analyzing factors related to student success and employability, and using activity data to support timely interventions. Engaging various stakeholders like students, teachers, and campus planners is presented as important for effective use of learning analytics.
Data Analytics Role in Digital Business & Business Process ManagementBPMInstitute.org
Discover the role of data analytics in transformation projects and business process management. What are the four key areas of data analytics and what are the types of data analytics. Also explains data visuals.
This document outlines recommendations from a project investigating institutional data management at a UK university. It finds that while some data management capabilities exist, practices are largely ad hoc with significant variation between departments. Researchers desire more storage and backup support. Recommendations include developing a university-wide data repository, comprehensive backup services, research data lifecycle training, and embedding exemplary practices. Pilot projects in archaeology and chemistry aim to test training and metadata frameworks. A sustainable business model is needed to provide coherent, affordable data management support across all disciplines over the long term.
Business analytics is the process of examining large volumes of various types of data to discover hidden patterns and correlations. This analysis can provide competitive advantages by helping organizations make more effective marketing and pricing decisions, leading to higher revenues. The data comes from traditional and unstructured sources and is organized and analyzed using statistical tools to make real-time decisions. Descriptive analytics describes past trends while predictive and prescriptive analytics determine future outcomes and best actions. Most data is structured but unstructured and semi-structured data from sources like text is growing.
Total Cost of Ownership, User Acceptance and *Perceived Success of ERP Softwaremfryling
The document discusses a system dynamics model for predicting the total cost of ownership (TCO) of enterprise resource planning (ERP) software over the long term. It presents research on the dynamic relationships involved in maintaining ERP systems and how implementation decisions impact TCO, user acceptance, and perceived success. The model was developed based on a case study of an ERP implementation at a university and incorporates feedback from literature and interviews. The model can be used to analyze policies and scenarios related to customization versus business process reengineering and their effects on long-term costs and user perceptions.
The document discusses considerations for an idealized national public transport data collation service in the UK. It identifies key drivers like reducing costs, improving data quality, and enabling greater downstream usage. It proposes building the service using existing national datasets for localities, stops, routes, services, timetables, and operators. Issues with the current approach are identified, such as non-unique operator codes and difficulties managing school service dates. Possible interventions discussed include a national operator code database linked to licensing data, standardized holidays datasets, and leveraging educational institution data. The document proposes a process for de-duplicating regional data by designating primary and secondary owners of registered services.
Measuring the costs and benefits of RDM to supporta a business caseJisc RDM
Graham Hay of Cambridge Econometrics on measuring the costs and benefits of RDM to support a business case for the Research Data Network event in May 2016, Cardiff University.
This document discusses learning analytics and the potential uses of various institutional data sources. It describes how combining data from student records, the virtual learning environment (VLE), library usage, attendance records, and other sources through a learning analytics service could help improve student retention and attainment, enhance teaching quality, enable personalized learning, and support student health and well-being. Specific opportunities mentioned include predicting at-risk students, analyzing factors related to student success and employability, and using activity data to support timely interventions. Engaging various stakeholders like students, teachers, and campus planners is presented as important for effective use of learning analytics.
Data Analytics Role in Digital Business & Business Process ManagementBPMInstitute.org
Discover the role of data analytics in transformation projects and business process management. What are the four key areas of data analytics and what are the types of data analytics. Also explains data visuals.
This document outlines recommendations from a project investigating institutional data management at a UK university. It finds that while some data management capabilities exist, practices are largely ad hoc with significant variation between departments. Researchers desire more storage and backup support. Recommendations include developing a university-wide data repository, comprehensive backup services, research data lifecycle training, and embedding exemplary practices. Pilot projects in archaeology and chemistry aim to test training and metadata frameworks. A sustainable business model is needed to provide coherent, affordable data management support across all disciplines over the long term.
Business analytics is the process of examining large volumes of various types of data to discover hidden patterns and correlations. This analysis can provide competitive advantages by helping organizations make more effective marketing and pricing decisions, leading to higher revenues. The data comes from traditional and unstructured sources and is organized and analyzed using statistical tools to make real-time decisions. Descriptive analytics describes past trends while predictive and prescriptive analytics determine future outcomes and best actions. Most data is structured but unstructured and semi-structured data from sources like text is growing.
Total Cost of Ownership, User Acceptance and *Perceived Success of ERP Softwaremfryling
The document discusses a system dynamics model for predicting the total cost of ownership (TCO) of enterprise resource planning (ERP) software over the long term. It presents research on the dynamic relationships involved in maintaining ERP systems and how implementation decisions impact TCO, user acceptance, and perceived success. The model was developed based on a case study of an ERP implementation at a university and incorporates feedback from literature and interviews. The model can be used to analyze policies and scenarios related to customization versus business process reengineering and their effects on long-term costs and user perceptions.
The document discusses considerations for an idealized national public transport data collation service in the UK. It identifies key drivers like reducing costs, improving data quality, and enabling greater downstream usage. It proposes building the service using existing national datasets for localities, stops, routes, services, timetables, and operators. Issues with the current approach are identified, such as non-unique operator codes and difficulties managing school service dates. Possible interventions discussed include a national operator code database linked to licensing data, standardized holidays datasets, and leveraging educational institution data. The document proposes a process for de-duplicating regional data by designating primary and secondary owners of registered services.
Getting to Go: Strategic Use of External Expertise in Leveraging ChangeBrenda Mathenia
What are the strategic benefits of using an external consultant? How can use of a consultant boost your ability to move your organization forward? What happens after the consultant goes?! Join an international team of administrative librarians in learning when to use an external consultant, factors for funding and how to leverage recommendations from work with a consultant to successfully move your organization forward. The presenters will provide examples drawn from their experience working with R2 Consulting LLC and the implementation of recommendations from their report “Workflow Analysis: From Selection-to-Access” presented to the University of Lethbridge Library in April 2009.
Participants will be exposed to the cycle of preparation, participation, and implementation of working alongside a consultant.
Presenters will share their experience with immediate tangible benefits as well as the future benefits that can accrue from the practical and cultural changes that happen along the way.
Attendees will have the opportunity to ask questions, share their experiences and apply lessons learned to their specific workplace challenges.
Sessions outcomes will include:
1. Participants will gain exposure to leadership strategies for driving and managing change.
2. Participants will learn how to make the case for, and gain valuable expertise from, external consultants.
3. Participants will learn to move beyond the recommendations to leverage additional operational and cultural changes that can happen as implementation becomes reality.
Adding value through BI: a Jisc perspectiveJISC infoNet
Business intelligence (BI) refers to technologies used to analyze business data and make more informed decisions. Jisc aims to promote BI adoption and capabilities in UK higher education through several initiatives. Its BI service will provide analyses, visualizations, and dashboards based on HESA data, allow custom reporting, and explore integrating additional non-HESA datasets. The Library Analytics Project currently offers a beta shared analytics service using student data from various sources to identify at-risk students and enable benchmarking. Overall, Jisc seeks to improve decision-making through BI and actionable insights for students and stakeholders.
Relational Capital for Innovative Growth Companies: Start-ups and Relational ...Jukka Huhtamäki
Relational Capital for Innovative Growth Companies: Start-ups and Relational Capital. Presented in Creating value from intangible assets – implication for business and policy, the final seminar of Tekes innovation research program (2012-2014).
Seminar program is available online: https://tapahtumat.tekes.fi/event/intangiblevaluecreation
.
The presented studies are conducted in collaboration with Martha G. Russell, Neil Rubens, Camilla Yu, Rahul C. Basole and other others affiliated with the Innovation Ecosystems Network (IEN).
Reviewing for model parameters workshop, HTAi 2014ScHARR HEDS
This document summarizes a workshop on reviewing model parameters for health technology assessments. It identifies six key themes from focus groups: 1) Current practice involves iterative discussions and modeling from the beginning. 2) What constitutes "enough" information is unclear. 3) Information needs can arise at different stages. 4) An ideal process involves early team involvement in problem structuring and focused searching. 5) Early structuring of important parameters is important. 6) Further research is needed on focused searching, quality assessment, and validating estimates. The document concludes more guidance is needed to make the review process transparent, timely, and rigorous.
This document discusses monitoring and evaluation tools for agricultural development projects in Egypt. It defines monitoring as tracking project information for progress updates, and evaluation as periodic assessments of effects. Successful M&E requires clear objectives, measurable indicators, and tools tailored to needs. Key steps include deciding why to conduct M&E, clarifying objectives, choosing indicators, and identifying data collection methods. Examples of tools provided are logical frameworks, rapid appraisal, participatory methods, and spatial mapping to visually monitor progress. The document advocates for building an M&E system and database in collaboration with Egyptian stakeholders.
Jisc HESA and Heidi Lab at Tableau users conference Nov 15mylesdanson
50 minute session for Tableau users in Higher Ed in the UK outlining the collaborative work between Jisc and HESA and focusing on the opportunity to join an innovative national Agile Scrum analysis effort to produce Tableau dashboards
Bb Education on Tour | Blackboard Learning Analytics | Chris Eske, Platform S...Blackboard APAC
This document discusses using analytics to drive continual improvement and catalyze change in higher education. It provides examples of how analytics can be used to measure learning outcomes, analyze the costs and effectiveness of instruction, and inform decisions to improve student performance and success. The document advocates asking questions of the data, digging deeper into analyses, and using metrics and insights to take action and measure progress.
The document discusses the Tennessee Board of Regents' efforts to create a stable enterprise data warehousing and business intelligence environment. It addresses balancing rules and design specifications with collecting quality data from various stakeholders. It also discusses managing the information portfolio, designing flexible architectures, dimensional data growth, data security, globalization, reporting, and prioritizing requirements from multiple projects. The overall goal is providing value to stakeholders through stable and secure data collection and analysis.
The document discusses research on big data and business analytics. It aims to understand how firms derive business value from big data analytics and identify key requirements. A literature review develops a framework to classify big data articles. A case study analyzes an emergency service using big data. Requirements for effective analytics are identified. A survey examines business value across countries. The research conceptualizes big data, assesses benefits to business units and organizations, and provides recommendations for senior management to maximize value from big data and analytics.
The document outlines a series of data and visualization workshops offered by Duke Libraries, including workshops on data management, cleaning, analytics using tools like R and Stata, digital mapping using ArcGIS, and data visualization. It discusses the role of data workshops in providing instruction, marketing library services, and advocating for responsible data practices. The document also considers best practices for workshop content, timing, and assessment.
This document summarizes a presentation given by Dr. Trevor Clohessy, Dr. Thomas Acton and Dr. Lorraine Morgan on rethinking ICT business model decisions for the new cloud economy. The presentation discusses research motivation in understanding how cloud computing is transforming IT business models. It describes the case study research approach used to study how a large, established ICT provider transformed its business model over five years in response to cloud computing. The findings show how the provider evolved its business model decision making process. The research contributes new perspectives on how emerging technologies like cloud computing impact business models across industries.
Strategies for using technology to organize a promotion and tenure portfolioRebecca Reck
At most universities, promotion and tenure decisions are made based on performance in three categories: teaching, research, and service. During the review for promotion, the candidate presents a portfolio with evidence of their work in binders which are intended to tell the professional story of the candidate while on the tenure-track. Wankat and Oreovicz suggest creating a schedule for technical research and publishing over your entire probationary period and keeping a record of activities to ensure nothing is missed in your portfolio. This presentation provides tips and resources for maintaining and archiving artifacts for tenure and promotion.
The document discusses evaluating reference services at public libraries. It recommends establishing goals and objectives to assess reference desk inputs like materials and staffing, outputs like transactions, and outcomes like user satisfaction. Both quantitative and qualitative methods should be used, including recording transactions, surveys, interviews, focus groups, and observation. Findings should be analyzed, presented clearly to stakeholders, and used to improve services and identify training needs.
Implementation of data science in organizationsKoo Ping Shung
Many companies understand the importance of Data Science and the benefits that can be brought to the business. This being a very new field and successful examples are far and few, businesses have no idea how to begin with and start tapping value from the massive amount of data they have collected.
There will be a three-stage process to be shared, and what are the areas of focus that businesses should start working on and begin to gain more value and insights from their data based on past experiences and conversations with various industries.
Insight DX - Environmental Data Exchange Hack WeekendDigital Catapult
The document discusses InsightDX, an API that aggregates and filters open environmental datasets according to location, making the data easier to use. It solves the problems that environmental data is scattered across different sources and formats, and tying multiple datasets to a single location is challenging. InsightDX aims to make open data more meaningful and accessible for service creators and data users, allowing them to focus on creating valuable tools and services rather than struggling to find and use relevant datasets. The prototype and business model are being validated with potential partners, customers and early adopters working with open environmental data.
This document discusses how information technology (IT) can impact organizational excellence. It begins by defining organizational excellence as a combination of strategy and culture. It then examines IT's role by outlining its capabilities to provide infrastructure, integration, and interactivity. The implications of these capabilities for organizational excellence are that infrastructure relates to strategy, integration relates to culture, and interactivity relates to both. Properly managing these IT capabilities can help streamline business functions and enable excellence through quality management, waste reduction, and understanding customers.
This document provides an overview of Enterprise 2.0 and social computing in organizational settings. It defines social computing and discusses why organizations are embracing these tools. Examples are given of how companies like Starbucks, Best Buy, Booz Allen, and Electronic Arts have implemented Enterprise 2.0 solutions to encourage collaboration, knowledge sharing, and community building among employees. The challenges knowledge workers face and benefits of social collaboration are also summarized.
The document contains 5 media clippings from June 23, 2011 about Essilor launching a new anti-fog lens called Optifog. The clippings appeared in the newspapers Rakyat Merdeka and Tribun Jateng, Tribun News Network, a blog called Jurnalisme Warga, and the website Radar.co.id. All discussed the new Optifog lens launched by the French lens producer Essilor to target the Indonesian market.
Tagging: Can User-Generated Content Improve Our Services?Katja Šnuderl
A couple of years ago there was a lot of discussion about how to improve search engines on the statistical websites. We are still struggling to make them better. On the other hand, in the last few years user-generated content on the internet, with impressive growth of Web 2.0 tools and services, introduced not only user-generated content, but also user-defined classification of items. The so called "folksonomy" introduced a new, complementary way of classifying items, significantly different from the pre-defined, authoritative taxonomies. Folksonomy is a result of tagging. In applications like YouTube (video clip database), Flickr (picture database), SlideShare (presentation database), blogs and others, users attach one or more words (tags) to every object in the database. Tags support search and aggregation lists.
It takes just one step to move from entering search keywords ourselves, using all of our knowledge, experiences and intuition in order to tailor the search results to user needs, to allowing our own users to enter tags themselves. This step creates a paradigm shift, exactly the same one as has turned Web 2.0 applications into a big success: Users – not producers – control the way they find and use information. By allowing users to enter tags we can actually allow users to help themselves by helping us.
Getting to Go: Strategic Use of External Expertise in Leveraging ChangeBrenda Mathenia
What are the strategic benefits of using an external consultant? How can use of a consultant boost your ability to move your organization forward? What happens after the consultant goes?! Join an international team of administrative librarians in learning when to use an external consultant, factors for funding and how to leverage recommendations from work with a consultant to successfully move your organization forward. The presenters will provide examples drawn from their experience working with R2 Consulting LLC and the implementation of recommendations from their report “Workflow Analysis: From Selection-to-Access” presented to the University of Lethbridge Library in April 2009.
Participants will be exposed to the cycle of preparation, participation, and implementation of working alongside a consultant.
Presenters will share their experience with immediate tangible benefits as well as the future benefits that can accrue from the practical and cultural changes that happen along the way.
Attendees will have the opportunity to ask questions, share their experiences and apply lessons learned to their specific workplace challenges.
Sessions outcomes will include:
1. Participants will gain exposure to leadership strategies for driving and managing change.
2. Participants will learn how to make the case for, and gain valuable expertise from, external consultants.
3. Participants will learn to move beyond the recommendations to leverage additional operational and cultural changes that can happen as implementation becomes reality.
Adding value through BI: a Jisc perspectiveJISC infoNet
Business intelligence (BI) refers to technologies used to analyze business data and make more informed decisions. Jisc aims to promote BI adoption and capabilities in UK higher education through several initiatives. Its BI service will provide analyses, visualizations, and dashboards based on HESA data, allow custom reporting, and explore integrating additional non-HESA datasets. The Library Analytics Project currently offers a beta shared analytics service using student data from various sources to identify at-risk students and enable benchmarking. Overall, Jisc seeks to improve decision-making through BI and actionable insights for students and stakeholders.
Relational Capital for Innovative Growth Companies: Start-ups and Relational ...Jukka Huhtamäki
Relational Capital for Innovative Growth Companies: Start-ups and Relational Capital. Presented in Creating value from intangible assets – implication for business and policy, the final seminar of Tekes innovation research program (2012-2014).
Seminar program is available online: https://tapahtumat.tekes.fi/event/intangiblevaluecreation
.
The presented studies are conducted in collaboration with Martha G. Russell, Neil Rubens, Camilla Yu, Rahul C. Basole and other others affiliated with the Innovation Ecosystems Network (IEN).
Reviewing for model parameters workshop, HTAi 2014ScHARR HEDS
This document summarizes a workshop on reviewing model parameters for health technology assessments. It identifies six key themes from focus groups: 1) Current practice involves iterative discussions and modeling from the beginning. 2) What constitutes "enough" information is unclear. 3) Information needs can arise at different stages. 4) An ideal process involves early team involvement in problem structuring and focused searching. 5) Early structuring of important parameters is important. 6) Further research is needed on focused searching, quality assessment, and validating estimates. The document concludes more guidance is needed to make the review process transparent, timely, and rigorous.
This document discusses monitoring and evaluation tools for agricultural development projects in Egypt. It defines monitoring as tracking project information for progress updates, and evaluation as periodic assessments of effects. Successful M&E requires clear objectives, measurable indicators, and tools tailored to needs. Key steps include deciding why to conduct M&E, clarifying objectives, choosing indicators, and identifying data collection methods. Examples of tools provided are logical frameworks, rapid appraisal, participatory methods, and spatial mapping to visually monitor progress. The document advocates for building an M&E system and database in collaboration with Egyptian stakeholders.
Jisc HESA and Heidi Lab at Tableau users conference Nov 15mylesdanson
50 minute session for Tableau users in Higher Ed in the UK outlining the collaborative work between Jisc and HESA and focusing on the opportunity to join an innovative national Agile Scrum analysis effort to produce Tableau dashboards
Bb Education on Tour | Blackboard Learning Analytics | Chris Eske, Platform S...Blackboard APAC
This document discusses using analytics to drive continual improvement and catalyze change in higher education. It provides examples of how analytics can be used to measure learning outcomes, analyze the costs and effectiveness of instruction, and inform decisions to improve student performance and success. The document advocates asking questions of the data, digging deeper into analyses, and using metrics and insights to take action and measure progress.
The document discusses the Tennessee Board of Regents' efforts to create a stable enterprise data warehousing and business intelligence environment. It addresses balancing rules and design specifications with collecting quality data from various stakeholders. It also discusses managing the information portfolio, designing flexible architectures, dimensional data growth, data security, globalization, reporting, and prioritizing requirements from multiple projects. The overall goal is providing value to stakeholders through stable and secure data collection and analysis.
The document discusses research on big data and business analytics. It aims to understand how firms derive business value from big data analytics and identify key requirements. A literature review develops a framework to classify big data articles. A case study analyzes an emergency service using big data. Requirements for effective analytics are identified. A survey examines business value across countries. The research conceptualizes big data, assesses benefits to business units and organizations, and provides recommendations for senior management to maximize value from big data and analytics.
The document outlines a series of data and visualization workshops offered by Duke Libraries, including workshops on data management, cleaning, analytics using tools like R and Stata, digital mapping using ArcGIS, and data visualization. It discusses the role of data workshops in providing instruction, marketing library services, and advocating for responsible data practices. The document also considers best practices for workshop content, timing, and assessment.
This document summarizes a presentation given by Dr. Trevor Clohessy, Dr. Thomas Acton and Dr. Lorraine Morgan on rethinking ICT business model decisions for the new cloud economy. The presentation discusses research motivation in understanding how cloud computing is transforming IT business models. It describes the case study research approach used to study how a large, established ICT provider transformed its business model over five years in response to cloud computing. The findings show how the provider evolved its business model decision making process. The research contributes new perspectives on how emerging technologies like cloud computing impact business models across industries.
Strategies for using technology to organize a promotion and tenure portfolioRebecca Reck
At most universities, promotion and tenure decisions are made based on performance in three categories: teaching, research, and service. During the review for promotion, the candidate presents a portfolio with evidence of their work in binders which are intended to tell the professional story of the candidate while on the tenure-track. Wankat and Oreovicz suggest creating a schedule for technical research and publishing over your entire probationary period and keeping a record of activities to ensure nothing is missed in your portfolio. This presentation provides tips and resources for maintaining and archiving artifacts for tenure and promotion.
The document discusses evaluating reference services at public libraries. It recommends establishing goals and objectives to assess reference desk inputs like materials and staffing, outputs like transactions, and outcomes like user satisfaction. Both quantitative and qualitative methods should be used, including recording transactions, surveys, interviews, focus groups, and observation. Findings should be analyzed, presented clearly to stakeholders, and used to improve services and identify training needs.
Implementation of data science in organizationsKoo Ping Shung
Many companies understand the importance of Data Science and the benefits that can be brought to the business. This being a very new field and successful examples are far and few, businesses have no idea how to begin with and start tapping value from the massive amount of data they have collected.
There will be a three-stage process to be shared, and what are the areas of focus that businesses should start working on and begin to gain more value and insights from their data based on past experiences and conversations with various industries.
Insight DX - Environmental Data Exchange Hack WeekendDigital Catapult
The document discusses InsightDX, an API that aggregates and filters open environmental datasets according to location, making the data easier to use. It solves the problems that environmental data is scattered across different sources and formats, and tying multiple datasets to a single location is challenging. InsightDX aims to make open data more meaningful and accessible for service creators and data users, allowing them to focus on creating valuable tools and services rather than struggling to find and use relevant datasets. The prototype and business model are being validated with potential partners, customers and early adopters working with open environmental data.
This document discusses how information technology (IT) can impact organizational excellence. It begins by defining organizational excellence as a combination of strategy and culture. It then examines IT's role by outlining its capabilities to provide infrastructure, integration, and interactivity. The implications of these capabilities for organizational excellence are that infrastructure relates to strategy, integration relates to culture, and interactivity relates to both. Properly managing these IT capabilities can help streamline business functions and enable excellence through quality management, waste reduction, and understanding customers.
This document provides an overview of Enterprise 2.0 and social computing in organizational settings. It defines social computing and discusses why organizations are embracing these tools. Examples are given of how companies like Starbucks, Best Buy, Booz Allen, and Electronic Arts have implemented Enterprise 2.0 solutions to encourage collaboration, knowledge sharing, and community building among employees. The challenges knowledge workers face and benefits of social collaboration are also summarized.
The document contains 5 media clippings from June 23, 2011 about Essilor launching a new anti-fog lens called Optifog. The clippings appeared in the newspapers Rakyat Merdeka and Tribun Jateng, Tribun News Network, a blog called Jurnalisme Warga, and the website Radar.co.id. All discussed the new Optifog lens launched by the French lens producer Essilor to target the Indonesian market.
Tagging: Can User-Generated Content Improve Our Services?Katja Šnuderl
A couple of years ago there was a lot of discussion about how to improve search engines on the statistical websites. We are still struggling to make them better. On the other hand, in the last few years user-generated content on the internet, with impressive growth of Web 2.0 tools and services, introduced not only user-generated content, but also user-defined classification of items. The so called "folksonomy" introduced a new, complementary way of classifying items, significantly different from the pre-defined, authoritative taxonomies. Folksonomy is a result of tagging. In applications like YouTube (video clip database), Flickr (picture database), SlideShare (presentation database), blogs and others, users attach one or more words (tags) to every object in the database. Tags support search and aggregation lists.
It takes just one step to move from entering search keywords ourselves, using all of our knowledge, experiences and intuition in order to tailor the search results to user needs, to allowing our own users to enter tags themselves. This step creates a paradigm shift, exactly the same one as has turned Web 2.0 applications into a big success: Users – not producers – control the way they find and use information. By allowing users to enter tags we can actually allow users to help themselves by helping us.
Dokumen tersebut membahas tentang pengembangan merek dalam industri citra politik. Politik dapat dilihat sebagai upaya mempengaruhi orang lain untuk memilih sebuah partai melalui pengemasan citra dan popularitas. Proses pemasaran politik meliputi riset pasar, penyusunan pesan, segmentasi pemilih, dan positioning untuk mencapai tujuan membentuk reputasi politik dan menarik dukungan pemilih.
Presentation at Training on best practices – Dissemination web site, output database (project Strengthening the Institutional Capacity for BiH Statistics)
The document contains 10 media clippings from June 23-24, 2011 about Essilor launching their new Optifog lens innovation. The clippings appeared in various Indonesian media outlets like newspapers, websites, and news agencies. They covered Optifog being a new lens innovation from Essilor to combat fogging and highlighted the company's efforts to enter the Indonesian market.
Dokumen tersebut merupakan naskah sambutan untuk penyuluhan narkoba yang diarahkan kepada siswa SMA. Naskah ini berisi tentang latar belakang tingginya penyalahgunaan narkoba di kalangan remaja, rincian kegiatan penyuluhan yang diikuti tiga SMA di wilayah Mampang, dan ajakan untuk bersama-sama membersihkan diri dan lingkungan dari narkoba.
Real Groovy is a New Zealand music retailer originating in the 20th century with 4 store locations. It primarily sells CDs and vinyls but also other products. However, CD sales are declining as music shifts to digital formats like MP3s. This poses a major problem for Real Groovy as CD sales make up most of its business. It is recommended that Real Groovy redesign its website to sell digital music and close its store locations over 12 months to transition its business model before declining CD sales force it to liquidate.
Laporan harian berita Lensa optifog 01 juli 2011mistertipr
Essilor, a French lens manufacturer, launched its Optifog lens and aims to capture 20-30% of the market share in Indonesia. The company is expanding its market to the city of Semarang and is ready to dominate the Indonesian market. Several online and print news media reported on Essilor's launch of Optifog lenses and its plans to increase its presence in Indonesia from June 28 to June 30, 2011.
The document summarizes presentations from three perspectives on progress towards open and interoperable research data service workflows:
1) Angus Whyte of the Digital Curation Centre discussed new DCC guidance and design principles for integrating research data service workflows.
2) Rory Macneil of Research Space discussed integrating their ELN with University of Edinburgh's DataShare and Harvard's Dataverse repositories using open standards.
3) Stuart Lewis of University of Edinburgh discussed their DataVault prototype for packaging data to be archived from a Jisc Research Data Spring project. The case studies illustrate challenges and opportunities for improving integration between active data management and long-term preservation services.
Designing systems for managing dynamic collaborative research processesscottw
This document summarizes a workshop on designing systems for managing collaborative research processes. It discusses why collaborative research workflows are important given an emphasis on collaborative work in funding. It explores potential research process characteristics and benefits and risks of automating such processes. It then analyzes different aspects of collaborative research processes like work distribution, monitoring, audit, self-organization, and strategy using concepts from cybernetics and the Viable Systems Model. Finally, it discusses observations that collaborative processes require more flexible approaches than traditional business process management methods allow and outlines areas for future work.
Information and Knowledge Services: finding Structure in ComplexityAlbert Simard
Describes a service framework for providing knowledge services (2006): knowledge aservices, knowledge services system, framework dimensions, service framework; report available
The document discusses business analytics and data visualization. It defines business analytics as the iterative and methodical exploration of an organization's data using statistical analysis to support data-driven decision making. It describes the main areas of business analytics techniques as business intelligence and statistical analysis. It also outlines the four main types of business analytics: descriptive, predictive, prescriptive, and diagnostic. The document further discusses data visualization, consumption of analytics, tools for data visualization, examples of data visualizations, and characteristics of effective graphical displays.
Preservation Planning using Plato, by Hannes Kulovits and Andreas RauberJISC KeepIt project
This document provides an overview of preservation planning and the Plato tool. It discusses the preservation planning workflow, which involves defining requirements, identifying sample objects, evaluating preservation strategies, and developing experiments to test strategies. The Plato tool supports the workflow by assisting with requirements definition, running experiments, and documenting results to produce a preservation plan. The presentation encourages participants to practice the workflow through exercises involving a scenario of preserving scanned yearbooks.
The document discusses the role of systems analysts and provides an overview of key concepts in systems analysis and design. It covers the types of systems analysts work with, the systems development life cycle, incorporating human-computer interaction considerations, and using computer-aided software engineering (CASE) tools to aid analysts' work.
Describes knowledge services from the perrspective of a government S&T department (2006): background, scope, framework, flow charts, next steps; report available.
Tips and Tricks to be an Effective Data ScientistLisa Cohen
Data Science is an evolving field, that requires a diverse skill set. From Analytical Techniques to Career Advice, this talk is full of practical tips that you can apply immediately to your job.
Business Analytics Dissertation Help: Defining And Identifying A Research Ag...Tutors India
In this topic, we have discussed about writing Dissertation in business and management for Master’s students. Researchers are encouraged to research and good dissertation writing skills are necessary. The present article helps the USA, the UK, Europe and the Australian students pursuing their master’s degree to identify the best technical conventions, which is usually considered to be challenging. Tutors India offers UK dissertation in various Domains. When you Order any dissertation at Tutors India, we promise you the following – Plagiarism free, Always on Time, outstanding customer support, written to Standard, Unlimited Revisions support and High-quality Subject Matter Experts.
MODULE 1_Introduction to Data analytics and life cycle..pptxnikshaikh786
The document provides an overview of the data analytics lifecycle and its key phases. It discusses the 6 phases: discovery, data preparation, model planning, model building, communicating results, and operationalizing. For each phase, it describes the main activities and considerations. It also discusses roles, tools, and best practices for ensuring a successful analytics project.
The document provides an overview of the process and methodology for researching information architecture for a website. It discusses conducting background research, stakeholder interviews, technology assessments, content analysis, content mapping, benchmarking, and user research through surveys, contextual inquiries, focus groups, interviews, card sorting, and user testing. The research findings are then used to develop an information architecture strategy that provides high-level recommendations to guide the design of the site's organization, labeling, navigation, and content management.
The document proposes a generic statistical business process model to standardize terminology and mapping of business processes across statistical organizations. It describes the development of the model based on existing national models and its key features, including that it is not linear and allows for iterative loops. The model could be relevant to the SDMX initiative for common terminology and mapping statistical processes if inputs and outputs use SDMX formats. Next steps include gathering implementation experiences to inform further development.
Mehmet Aydın, KHU - Nurullah Battal, Roche | Agile Turkey Summit 2013Agile Turkey
Enabling Organizational Change through Agile Methods
Agile approaches and methods have been promoted as a panacea for long-standing problems in IT projects. Such problems may be denoted as “one-size-fits-all issues”, “failing to embrace changes in the projects”, “lack of IT-Business Alignment”. Recently, practitioners have experienced that agile methods can be used as a means to facilitate change concerning IT mind-set and practice as well. This talk is concerned with the effects of agile method on organizational change. We explore underpinnings of an agile-enabled organizational change in terms of the way of thinking and actions. To articulate such underpinnings an exemplary case is used. Reflections on lessons-learned and practical insights are to be presented as well.
The presentation from the Workshop on Enterprise Interoperability Science Base - Coventry UK - April 2010
To cite this publication, use:
Charalabidis Y., Goncalves R.J., Popplewell K.: “Developing a Science Base for Enterprise Interoperability”, Interoperability of Enterprise Systems and Applications Conference, i-ESA 2008 (IFIP), 12-15 April 2010, Coventry, UK.
This document discusses key concepts in systems analysis and design including:
1. Defining a system and the roles of systems analysts and stakeholders.
2. Describing different types of information systems and the traditional systems development life cycle.
3. Emphasizing the importance of continuous planning, testing, documentation and using a case study approach in systems analysis and design.
The document discusses situation awareness and knowledge management approaches for complex and dynamic systems. It proposes modeling different elements of the system and information processing requirements. This includes entity, activity, representation, measurement, observation and event models. It also discusses roles, tasks, outcomes and guidance for stakeholders involved in situation awareness through a Situation Awareness Unified Process. Design decisions and views of the proposed situation awareness system architecture are also covered at a high level.
Tips for Effective Data Science in the EnterpriseLisa Cohen
Data Science is an evolving field, that requires a diverse skill set. From Career Advice to steps for how to approach your Data Science Workflow, this talk is full of practical tips that you can apply immediately to your job.
Implementing an enterprise content management (ECM) system can provide benefits like increased efficiency and compliance, but also risks like underestimating costs and change management needs. A successful ECM implementation requires defining standards, tailored training, and buy-in across the organization. It's best to start with one business function and scale across the enterprise over time to manage risks. Upfront taxonomy and metadata development are also critical to ensuring content remains findable.
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Predstavitev predloga pilotnega projekta na področju povezanih odprtih podatkov za vodstvo SURS dne 18. 12. 2018
Presentation for executives - decision on implementing LOD or not at the Statistical Office of the Republic of Slovenia (SURS)
This document discusses the importance of metadata for statistical organizations in the transition from print to digital dissemination. It notes that as more users access information online, metadata is needed to help users find, understand, and reuse statistical data across different formats and applications. The document outlines different types of metadata including structural, reference, and process metadata and how they support user needs and organizational workflows. It emphasizes that metadata should be managed as an integral part of the statistical production process.
Presentation at Training on best practices – Dissemination web site, output database (project Strengthening the Institutional Capacity for BiH Statistics)
Presentation at Training on best practices – Dissemination web site, output database (project Strengthening the Institutional Capacity for BiH Statistics)
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
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
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
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!
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.