The document discusses social collaboration analytics (SCA) methods for analyzing collaboration data from enterprise collaboration systems (ECS). It introduces content analysis for understanding content types, structures, and usage patterns. Process analysis is described for analyzing collaboration processes and scenarios through process mining of event logs. Benefits measurement is mentioned as an SCA method for identifying benefits of using an ECS. The document provides examples of dashboards and visualizations used in content and process analysis of collaboration data from a ECS.
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS A scientometric analysis of cloud c...IEEEMEMTECHSTUDENTPROJECTS
This document discusses a proposed system for improving the process of clustering and displaying search results from literature on cloud computing. The existing system has problems with only displaying results from registered candidates, poor data display, and lack of security. The proposed system aims to display the highest ranking search keywords based on user and publisher rankings to make the process more secure. It uses clustering to automatically organize documents by topic to improve information retrieval. The system would have administrative, publisher, search, and user modules and use ASP.Net and SQL Server software.
The document summarizes the Open Library Environment Project, which aims to design a new open-source library management system using modern principles like service-oriented architecture and business process modeling. The project will gather requirements from libraries and redesign workflows and technical architecture to create a flexible system that can adapt to changing needs. An initial group of partner libraries received funding to develop design specifications over a one-year period, with the goal of then seeking funding to build a prototype system.
1. The document discusses using eResearch approaches like shared data, analyses, and cyberinfrastructure to support collaborative research on free/libre and open source software (FLOSS).
2. The authors are replicating and extending several FLOSS research papers using workflow tools to make the analyses reusable, flexible, and easy to share.
3. Preliminary results found that eResearch approaches show promise for advancing social science research by facilitating analysis extension, replication, and sensitivity testing.
This document discusses software as a research object and the importance of research software. Some key points:
- Many researchers rely on software for their work but few have formal software training. Software is integral to modern research.
- Studies have found low reproducibility in scientific publications due to issues with unavailable software and code. Proper documentation and sharing of research software is needed.
- The Software Sustainability Institute aims to cultivate better, more sustainable research software to enable world-class research. They provide training, community support, and advocate for improved software practices and policies.
- Culture change is needed to incentivize sharing of research software and code. Mechanisms are emerging to properly credit software contributions and cite
Breed data scientists_ A Presentation.pptxGautamPopli1
The document discusses changes in the field of data science, including more available data, improved tools and cloud technologies, and the need for multi-disciplinary teams and standardized processes. It highlights the importance of data quality and engineering, noting that data scientists spend most of their time cleaning and organizing data. The Microsoft "Team Data Science Process" is presented as a standardized approach for data science projects using tools like Visual Studio Team Services. Resources like Coursera courses and libraries from Microsoft and Cloudera are recommended to learn skills and technologies in the field.
This webinar discusses how program management and systems engineering can better integrate to improve program success. It introduces Innoslate, a tool that supports this integration. The webinar agenda includes explaining common causes of program failure, distinguishing the roles of program management and systems engineering, and how a middle-out approach can make these functions more agile. The presentation demonstrates how Innoslate uses an integrated ontology and various modeling and simulation capabilities to facilitate collaboration between program management and systems engineering.
The document summarizes the programme for the 9th UK Learning Analytics Network Meeting hosted by the University of Exeter and Jisc. The programme included presentations on learning analytics projects and tools from Exeter University, King's College London, Oxford Brookes, and Blackboard. It also provided updates on Jisc's learning analytics service, which includes a learning analytics toolkit, community, and analytics labs to help institutions adopt learning analytics.
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS A scientometric analysis of cloud c...IEEEMEMTECHSTUDENTPROJECTS
This document discusses a proposed system for improving the process of clustering and displaying search results from literature on cloud computing. The existing system has problems with only displaying results from registered candidates, poor data display, and lack of security. The proposed system aims to display the highest ranking search keywords based on user and publisher rankings to make the process more secure. It uses clustering to automatically organize documents by topic to improve information retrieval. The system would have administrative, publisher, search, and user modules and use ASP.Net and SQL Server software.
The document summarizes the Open Library Environment Project, which aims to design a new open-source library management system using modern principles like service-oriented architecture and business process modeling. The project will gather requirements from libraries and redesign workflows and technical architecture to create a flexible system that can adapt to changing needs. An initial group of partner libraries received funding to develop design specifications over a one-year period, with the goal of then seeking funding to build a prototype system.
1. The document discusses using eResearch approaches like shared data, analyses, and cyberinfrastructure to support collaborative research on free/libre and open source software (FLOSS).
2. The authors are replicating and extending several FLOSS research papers using workflow tools to make the analyses reusable, flexible, and easy to share.
3. Preliminary results found that eResearch approaches show promise for advancing social science research by facilitating analysis extension, replication, and sensitivity testing.
This document discusses software as a research object and the importance of research software. Some key points:
- Many researchers rely on software for their work but few have formal software training. Software is integral to modern research.
- Studies have found low reproducibility in scientific publications due to issues with unavailable software and code. Proper documentation and sharing of research software is needed.
- The Software Sustainability Institute aims to cultivate better, more sustainable research software to enable world-class research. They provide training, community support, and advocate for improved software practices and policies.
- Culture change is needed to incentivize sharing of research software and code. Mechanisms are emerging to properly credit software contributions and cite
Breed data scientists_ A Presentation.pptxGautamPopli1
The document discusses changes in the field of data science, including more available data, improved tools and cloud technologies, and the need for multi-disciplinary teams and standardized processes. It highlights the importance of data quality and engineering, noting that data scientists spend most of their time cleaning and organizing data. The Microsoft "Team Data Science Process" is presented as a standardized approach for data science projects using tools like Visual Studio Team Services. Resources like Coursera courses and libraries from Microsoft and Cloudera are recommended to learn skills and technologies in the field.
This webinar discusses how program management and systems engineering can better integrate to improve program success. It introduces Innoslate, a tool that supports this integration. The webinar agenda includes explaining common causes of program failure, distinguishing the roles of program management and systems engineering, and how a middle-out approach can make these functions more agile. The presentation demonstrates how Innoslate uses an integrated ontology and various modeling and simulation capabilities to facilitate collaboration between program management and systems engineering.
The document summarizes the programme for the 9th UK Learning Analytics Network Meeting hosted by the University of Exeter and Jisc. The programme included presentations on learning analytics projects and tools from Exeter University, King's College London, Oxford Brookes, and Blackboard. It also provided updates on Jisc's learning analytics service, which includes a learning analytics toolkit, community, and analytics labs to help institutions adopt learning analytics.
This document summarizes a presentation on digitizing clinical study design using TransCelerate's digital data flow solutions platform. The agenda includes an interactive demonstration of building a new study and tutorials on various study builder functions. It also covers more advanced topics like using Microsoft Word to edit studies and manage library elements. The document discusses the underlying technology powering the platform including Azure services, security, and integrations. It outlines user stories and roles. Finally, it describes potential future visions for the platform including using blockchain for greater visibility, transparency, and accelerated approval workflows in clinical trials.
Big Data As a service - Sethuonline.com | Sathyabama University Chennaisethuraman R
An Efficient Framework for Data As A Service in Hadoop EcoSystem.
R.Sethuraman M.E,(PhD).,
Assistant Professor,
Faculty of Computing,
Dept of Computer Science Engineering,
Sathyabama University
http://Sethuonline.com
Ovation is a data management and collaboration platform created by Physion for scientific research teams. It provides intuitive tools to organize heterogeneous research data into a common data model with full metadata. This allows researchers to efficiently track analyses from raw data to results and share complete projects with collaborators. Ovation integrates with existing workflows and securely stores all data, analyses, annotations and conversations in the cloud to accelerate science through improved data access and collaboration across teams.
Learn how to shrink the time it takes to do Cognos migrations and consolidations by 90%. Our new Migration Assistant programmatically decodes and inventories Cognos content. it surfaces needed details about lineage, usage and more. See the video and download this deck: https://senturus.com/resources/streamline-cognos-migrations-and-consolidations/
Senturus offers a full spectrum of services for business analytics. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: https://senturus.com/resources/
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.
Tackling Consistency-related Design Challenges of Distributed Data-Intensive ...Susanne Braun
This document summarizes an action research study on developing design guidelines for eventually consistent domain models in distributed data-intensive systems. The study involved two cycles of applying and improving the guidelines in collaboration with industry partners. In cycle 1, developers found the redesigned model clearer using the guidelines and that the guidelines helped structure the model. Areas for improvement were identified. In cycle 2, developers stated the revised guidelines were supportive, comprehensible, and applicable, and praised additions like cheat sheets. The results showed high levels of compatible domain operations and use of trivial aggregates in resulting models designed with the guidelines.
The document provides an overview of the development of the NIH Data Commons. It discusses factors driving the need for a data commons, including large amounts of data being generated and increased support for data sharing. It outlines the goals of making data findable, accessible, interoperable and reusable. Several pilots are exploring the feasibility of the commons framework, including placing large datasets in the cloud and developing indexing methods. Considerations in fully realizing the commons are also discussed, such as standards, discoverability, policies and incentives.
Designing real-time recommendations engine using graph databases.pptxGopi Krishna
The document summarizes a project that aims to design a real-time recommendation engine using graph databases. Specifically, it:
1) Proposes building a system called "Bangalore Restaurants" that analyzes local businesses in Bangalore, India using data from Facebook to provide recommendations.
2) Discusses how graph databases are better suited than SQL databases for flexible, unstructured social network data and enabling more accurate recommendations.
3) Details that the project will mine check-in data from Facebook, store it in Neo4j, and use Cypher queries to provide recommendations within 3-3.5 seconds for increasing numbers of concurrent users to test the system's capabilities.
Excited to share our vision for bioinformatics education available for students and researchers that want to apply advanced multi-omics integration and machine learning to large biomedical datasets. Practice and learn from real-life projects.
Electronic Document Management Case StudyDougWinning
This document summarizes a case study on improving facility master records and file room management. It describes challenges with paper-based systems, including lack of organization and control. The company created a team to standardize document management practices, align with regulations, and reduce costs. They mapped current processes, improved procedures, and implemented an electronic document management system (EDMS) for engineering documents. This enabled better organization, searchability, and sharing of facility records across sites and departments.
Using MS Power BI to create full, interactive reports using Brightspace Data ...D2L Barry
2019 D2L Connection: Dublin Edition
4th annual European D2L Connection; a professional learning opportunity for educators, corporate training professionals, and D2L employees.
Wednesday-Thursday, October 9-10, 2019 at O’Reilly Hall, University College Dublin (UCD)
Track 2 (User Enablement): Using MS Power BI to create full, interactive reports using Brightspace Data Sets, Robin Lawrenson, Senior Implementation Consultant, D2L
Building a Blockchain-based Reputation Infrastructure for Open Research. Ca...Carmen Holotescu
Presentation for ICCMAE 2022: The 2nd International Conference on Computational Methods and Applications in Engineering May 7-8, 2021
Authors:
Victor HOLOTESCU, PhD Student,
Andrei TERNAUCIUC, PhD
Radu VASIU, PhD
Politehnica University of Timișoara, Romania
Carmen HOLOTESCU, PhD
”Ioan Slavici” University of Timișoara, Romania
Cosmin CIORANU, PhD
UEFISCDI, Bucharest, Romania
This document provides an overview of the CS639: Data Management for Data Science course. It discusses that data science is becoming increasingly important as more fields utilize data-driven approaches. The course will teach students the basics of managing and analyzing data to obtain useful insights. It will cover topics like data storage, predictive analytics, data integration, and communicating findings. The goal is for students to learn fundamental concepts and design data science workflows and pipelines. The course will include lectures, programming assignments, a midterm, and final exam.
The document discusses improving reproducibility in scientific research. It notes that biomedical research currently operates more like a "blacksmith shop" than a reliable modern process. Essential methodological knowledge is often implicit and undocumented. The document compares this to industrial R&D which seeks to reduce variability and noise through standardized, automated, and documented processes. It suggests applying lessons from manufacturing to research, such as using experimental design, data capture, and analytics to improve reproducibility. New lab software tools and sharing of methodologies could help generalize these approaches to basic research. Cultural and incentive changes may be needed to drive wider adoption of more reproducible practices.
What can be done to improve reproducibility?Riffyn
Riffyn co-Founder Matthew Cockerill discusses the need for upstream changes to scientific methodology, moving it on from the artesan era, in order to make published results more reliable. (Talk presented at The Future of Scientific Scholarly Communication, a Royal Society symposium celebrating 350 years of the scientific journal, on 5th May 2015.)
This document summarizes a presentation on digitizing clinical study design using TransCelerate's digital data flow solutions platform. The agenda includes an interactive demonstration of building a new study and tutorials on various study builder functions. It also covers more advanced topics like using Microsoft Word to edit studies and manage library elements. The document discusses the underlying technology powering the platform including Azure services, security, and integrations. It outlines user stories and roles. Finally, it describes potential future visions for the platform including using blockchain for greater visibility, transparency, and accelerated approval workflows in clinical trials.
Big Data As a service - Sethuonline.com | Sathyabama University Chennaisethuraman R
An Efficient Framework for Data As A Service in Hadoop EcoSystem.
R.Sethuraman M.E,(PhD).,
Assistant Professor,
Faculty of Computing,
Dept of Computer Science Engineering,
Sathyabama University
http://Sethuonline.com
Ovation is a data management and collaboration platform created by Physion for scientific research teams. It provides intuitive tools to organize heterogeneous research data into a common data model with full metadata. This allows researchers to efficiently track analyses from raw data to results and share complete projects with collaborators. Ovation integrates with existing workflows and securely stores all data, analyses, annotations and conversations in the cloud to accelerate science through improved data access and collaboration across teams.
Learn how to shrink the time it takes to do Cognos migrations and consolidations by 90%. Our new Migration Assistant programmatically decodes and inventories Cognos content. it surfaces needed details about lineage, usage and more. See the video and download this deck: https://senturus.com/resources/streamline-cognos-migrations-and-consolidations/
Senturus offers a full spectrum of services for business analytics. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: https://senturus.com/resources/
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.
Tackling Consistency-related Design Challenges of Distributed Data-Intensive ...Susanne Braun
This document summarizes an action research study on developing design guidelines for eventually consistent domain models in distributed data-intensive systems. The study involved two cycles of applying and improving the guidelines in collaboration with industry partners. In cycle 1, developers found the redesigned model clearer using the guidelines and that the guidelines helped structure the model. Areas for improvement were identified. In cycle 2, developers stated the revised guidelines were supportive, comprehensible, and applicable, and praised additions like cheat sheets. The results showed high levels of compatible domain operations and use of trivial aggregates in resulting models designed with the guidelines.
The document provides an overview of the development of the NIH Data Commons. It discusses factors driving the need for a data commons, including large amounts of data being generated and increased support for data sharing. It outlines the goals of making data findable, accessible, interoperable and reusable. Several pilots are exploring the feasibility of the commons framework, including placing large datasets in the cloud and developing indexing methods. Considerations in fully realizing the commons are also discussed, such as standards, discoverability, policies and incentives.
Designing real-time recommendations engine using graph databases.pptxGopi Krishna
The document summarizes a project that aims to design a real-time recommendation engine using graph databases. Specifically, it:
1) Proposes building a system called "Bangalore Restaurants" that analyzes local businesses in Bangalore, India using data from Facebook to provide recommendations.
2) Discusses how graph databases are better suited than SQL databases for flexible, unstructured social network data and enabling more accurate recommendations.
3) Details that the project will mine check-in data from Facebook, store it in Neo4j, and use Cypher queries to provide recommendations within 3-3.5 seconds for increasing numbers of concurrent users to test the system's capabilities.
Excited to share our vision for bioinformatics education available for students and researchers that want to apply advanced multi-omics integration and machine learning to large biomedical datasets. Practice and learn from real-life projects.
Electronic Document Management Case StudyDougWinning
This document summarizes a case study on improving facility master records and file room management. It describes challenges with paper-based systems, including lack of organization and control. The company created a team to standardize document management practices, align with regulations, and reduce costs. They mapped current processes, improved procedures, and implemented an electronic document management system (EDMS) for engineering documents. This enabled better organization, searchability, and sharing of facility records across sites and departments.
Using MS Power BI to create full, interactive reports using Brightspace Data ...D2L Barry
2019 D2L Connection: Dublin Edition
4th annual European D2L Connection; a professional learning opportunity for educators, corporate training professionals, and D2L employees.
Wednesday-Thursday, October 9-10, 2019 at O’Reilly Hall, University College Dublin (UCD)
Track 2 (User Enablement): Using MS Power BI to create full, interactive reports using Brightspace Data Sets, Robin Lawrenson, Senior Implementation Consultant, D2L
Building a Blockchain-based Reputation Infrastructure for Open Research. Ca...Carmen Holotescu
Presentation for ICCMAE 2022: The 2nd International Conference on Computational Methods and Applications in Engineering May 7-8, 2021
Authors:
Victor HOLOTESCU, PhD Student,
Andrei TERNAUCIUC, PhD
Radu VASIU, PhD
Politehnica University of Timișoara, Romania
Carmen HOLOTESCU, PhD
”Ioan Slavici” University of Timișoara, Romania
Cosmin CIORANU, PhD
UEFISCDI, Bucharest, Romania
This document provides an overview of the CS639: Data Management for Data Science course. It discusses that data science is becoming increasingly important as more fields utilize data-driven approaches. The course will teach students the basics of managing and analyzing data to obtain useful insights. It will cover topics like data storage, predictive analytics, data integration, and communicating findings. The goal is for students to learn fundamental concepts and design data science workflows and pipelines. The course will include lectures, programming assignments, a midterm, and final exam.
The document discusses improving reproducibility in scientific research. It notes that biomedical research currently operates more like a "blacksmith shop" than a reliable modern process. Essential methodological knowledge is often implicit and undocumented. The document compares this to industrial R&D which seeks to reduce variability and noise through standardized, automated, and documented processes. It suggests applying lessons from manufacturing to research, such as using experimental design, data capture, and analytics to improve reproducibility. New lab software tools and sharing of methodologies could help generalize these approaches to basic research. Cultural and incentive changes may be needed to drive wider adoption of more reproducible practices.
What can be done to improve reproducibility?Riffyn
Riffyn co-Founder Matthew Cockerill discusses the need for upstream changes to scientific methodology, moving it on from the artesan era, in order to make published results more reliable. (Talk presented at The Future of Scientific Scholarly Communication, a Royal Society symposium celebrating 350 years of the scientific journal, on 5th May 2015.)
Similar to DACHNUG50 CNX4 Analytics in HCL Connections.pdf (20)
- The document introduces the HCL Domino CCB licensing model and provides updates about new features.
- It describes tools like the Domino License Analysis Utility (DLAU) that help administrators determine the number of CCB licenses needed based on the credentials defined in their Domino environment.
- The document advises running DLAU periodically before license renewals to establish a baseline count of internal users and ensure compliance with the "per user" CCB licensing model.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
DACHNUG50 CNX4 Analytics in HCL Connections.pdf
1. Weit über einfache Nutzungsstatistiken
hinaus
Analytics in HCL Connections
Prof. Dr. Petra Schubert & Sebastian Bahles
(Universität Koblenz)
sbahles@uni-koblenz.de
2. SusanWilliams
Professor
Director of CEIR
Social Informatics
Jens Alberts
CEIR Researcher
Work routines & practices
Söhnke Grams
CEIR Postdoctoral Researcher
General Manager UCT
Benefits Management
Petra Schubert
Professor
Director of CEIR
Business Software
Sebastian Bahles
CEIR Researcher
Manager IndustryConnect
Workspace Management
Simon Meier
CEIR Researcher
Ontology-based data access
Martin Just
CEIR Researcher
Cross-system analysis
Julian Mosen
CEIR Researcher
Social documents
Jennifer Gerbl
CEIR Researcher
VisualCollaboration
Cornelia Mc Stay
Team assistant
2
4. Developing theoretical
insights and research
capabilities:
Advanced knowledge and
understanding
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025
Building strong sustainable
relationships with industry:
Engaged with relevance and
the challanges of practice
Building excellence in
technical capabilities:
Close to enterprise
collaboration technologies UCT-1 UCT-2 UCT-3 UCT-4 UCT-5 UCT-6 UCT-7
Workshop
1
Workshop
2
Workshop
3
Workshop
4
Workshop
5
Workshop
6
Workshop
7
Workshop
8
Workshop9
Wrkshop
10
Workshop
11
(online)
Workshop
12
(online)
Workshop
13
(online)
Workshop
14
(online)
Workshop
15
(online)
and 30 more …
BECS-1 BECS-2 BECS-3
2C-NOW
SPM-1
Benefits of Enterprise Collaboration Systems:
Capturing and measuring digital transformation
capabilities and collaborative work
Collaboration and Coordination in Networks of Work:
Investigation of transformations to work processes and
practices in large-scale, heterogeneous enterprise
collaboration platforms
Social Process Mining:
Identification of typical Enterprise Collaboration System
usage patterns and development of the required
technical foundations and algorithms
2C-NOW²
4
Workshop
16
(online)
Workshop
17
tba., Q3/23
non-virtual again
7. IBD white paper
part two
Enterprise Collaboration Platforms
Designing the Technical Solution
IBD white paper
part one
Enterprise Collaboration Platforms
Understanding Collaborative Work
10. #DACHNUG50 2023, 15.06.2023 10
Prof. Dr. Petra Schubert & Sebastian Bahles
Social Collaboration Analytics
Framework
◼ The framework guides the practical
application of SCA
◼ For each of the 8 phases the framework
contains:
◼ Precise objectives
◼ Detailed descriptions & working steps
◼ Guiding questions
◼ List of outcomes
◼ The framework is based on
◼ Analysis of 86 SCA studies
◼ Findings from 6 focus groups
◼ Findings from a survey with 27 user companies
◼ Analysis of 17 established data mining process
models
◼ Evaluation of the framework
with a ECS user company
(Schwade, 2022)
Multiple methods:
1. Benefits measurement
2. Content analysis
3. Process mining
11. #DACHNUG50 2023, 15.06.2023 11
Prof. Dr. Petra Schubert & Sebastian Bahles
Data sources for collaboration analytics
Organisationaldata
• Useraccounts
• Organisational structure
(e.g.OU,role,location)
• Inpractice:LDAP,ActiveDirectory
Transactionaldata
• Eventlog
• WebServerLog
Analytics
Contentdata
• Relationaldatabases
• Filesystem
Employees
• Surveys
• Observation
• Feedback
Othersystems
• E-Mail
• ERPSystem
• CRMSystem
• …..
12. #DACHNUG50 2023, 15.06.2023 12
Prof. Dr. Petra Schubert & Sebastian Bahles
SCA Methods
Content
analysis
Process
analysis
Benefits
measurement
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Prof. Dr. Petra Schubert & Sebastian Bahles
CONTENT
https://galaxy.fgbas.uni-koblenz.de/#/galaxy/my-graph?cx=-3508&cy=-16904&cz=14131&lx=0.4188&ly=-0.1371&lz=0.1387&lw=0.8869&ml=15000000&s=1.75&l=1&v=version-1
18. Visualising Content of a cross-organisational Community
Blog
Status Updates Files & Folders Forum
Wiki Activities
19. ◼ Microblogs ◼ Social document characteristics
Tweeting/informing
◼ Low number of components
◼ Few comments
◼ Some attachments
◼ High percentage of
recommendations
◼ Simple structures
◼ Some inter-container and inter-
space collections
◼ Microblog post with attachment
20. ◼ Wikis ◼ Social document characteristics
Documenting information
◼ Higher number of components
◼ Many versions and attachments
◼ Few comments
◼ More complex structures
◼ Sub articles lead to hierarchies
◼ Many intra-container
collections
21. ◼ Forums ◼ Social document characteristics
Discussing
◼ High number of components
◼ Many comments
◼ Many recommendations
◼ Highly complex structures
◼ Long paths of comments
◼ Long and threaded discussions
◼ Strands of discussion can split up
◼ Very few collections
23. #DACHNUG50 2023, 15.06.2023 24
Prof. Dr. Petra Schubert & Sebastian Bahles
Collaboration Process
User Screen
In-System Log
Harmonised Event Log
Collaboration Scenario
Social Document Graph
25. #DACHNUG50 2023, 15.06.2023 26
Prof. Dr. Petra Schubert & Sebastian Bahles
Harmonised Event Log (Domino application)
26. #DACHNUG50 2023, 15.06.2023 27
Prof. Dr. Petra Schubert & Sebastian Bahles
system.space.container.intellectualentity.intellectualcomponent.simplecomponent.action
system.space.container.intellectualentity.intellectualcomponent.simplecomponent.action
system.space.container.intellectualentity.intellectualcomponent.simplecomponent.action
system.space.container.intellectualentity.intellectualcomponent.simplecomponent.action
system.space.container.intellectualentity.intellectualcomponent.simplecomponent.action
system.space.container.intellectualentity.intellectualcomponent.simplecomponent.action
system.space.container.intellectualentity.intellectualcomponent.simplecomponent.action
system.space.container.intellectualentity.intellectualcomponent.simplecomponent.action
…
27. #DACHNUG50 2023, 15.06.2023 28
Prof. Dr. Petra Schubert & Sebastian Bahles
High-level logs can be interpreted
→ Collaboration Scenarios
28. #DACHNUG50 2023, 15.06.2023 29
Prof. Dr. Petra Schubert & Sebastian Bahles
Forum Discussion
User Screen
BPMN Swim Lanes
Growing document graph
Event log
29. #DACHNUG50 2023, 15.06.2023 30
Prof. Dr. Petra Schubert & Sebastian Bahles
Forum Discussion
account.system.space.container.intellectualentity.intel-comp..simple-comp.action.time
-----------------------------------------------------------------------------------------------------------------------
Petra.UniConnect.PSC-CW.MessageBoard01.create
Petra
David
Linda
board.
created
30. #DACHNUG50 2023, 15.06.2023 31
Prof. Dr. Petra Schubert & Sebastian Bahles
Forum Discussion
account.system.space.container.intellectualentity.intel-comp..simple-comp.action.time
-----------------------------------------------------------------------------------------------------------------------
Petra.UniConnect.PSC-CW.MessageBoard01.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.create
Petra
David
Linda
board.
created
post.
created
31. #DACHNUG50 2023, 15.06.2023 32
Prof. Dr. Petra Schubert & Sebastian Bahles
Forum Discussion
account.system.space.container.intellectualentity.intel-comp..simple-comp.action.time
-----------------------------------------------------------------------------------------------------------------------
Petra.UniConnect.PSC-CW.MessageBoard01.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.create
Linda.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Like010101.create
Petra
David
Linda
board.
created
post.
created
like.
created
32. #DACHNUG50 2023, 15.06.2023 33
Prof. Dr. Petra Schubert & Sebastian Bahles
Forum Discussion
account.system.space.container.intellectualentity.intel-comp..simple-comp.action.time
-----------------------------------------------------------------------------------------------------------------------
Petra.UniConnect.PSC-CW.MessageBoard01.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.create
Linda.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Like010101.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010101.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010102.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010103.create
Petra
David
Linda
board.
created
post.
created
like.
created
tag.
created
33. #DACHNUG50 2023, 15.06.2023 34
Prof. Dr. Petra Schubert & Sebastian Bahles
Forum Discussion
account.system.space.container.intellectualentity.intel-comp..simple-comp.action.time
-----------------------------------------------------------------------------------------------------------------------
Petra.UniConnect.PSC-CW.MessageBoard01.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.create
Linda.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Like010101.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010101.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010102.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010103.create
Linda.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Comment010101.create
Petra
David
Linda
board.
created
post.
created
tag.
created
like.
created
comnt.
created
34. #DACHNUG50 2023, 15.06.2023 35
Prof. Dr. Petra Schubert & Sebastian Bahles
Forum Discussion
account.system.space.container.intellectualentity.intel-comp..simple-comp.action.time
-----------------------------------------------------------------------------------------------------------------------
Petra.UniConnect.PSC-CW.MessageBoard01.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.create
Linda.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Like010101.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010101.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010102.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010103.create
Linda.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Comment010101.create
David.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Comment010102.create
Petra
David
Linda
tag.
created
like.
created
comnt.
created
comnt.
created
35. #DACHNUG50 2023, 15.06.2023 36
Prof. Dr. Petra Schubert & Sebastian Bahles
Forum Discussion
Petra.UniConnect.PSC-CW.MessageBoard01.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.create
Linda.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Like010101.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010101.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010102.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010103.create
Linda.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Comment010101.create
David.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Comment010102.create
David.UniConnect.PSC-CW.MessageBoard01.BoardPost0102.Comment010201.create
Petra
David
Linda
tag.
created
like.
created
comnt.
created
comnt.
created
comnt.
created
36. #DACHNUG50 2023, 15.06.2023 37
Prof. Dr. Petra Schubert & Sebastian Bahles
Forum Discussion
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.create
Linda.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Like010101.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010101.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010102.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Tag010103.create
Linda.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Comment010101.create
David.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Comment010102.create
David.UniConnect.PSC-CW.MessageBoard01.BoardPost0102.Comment010201.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Comment010101.Like01010101.create
Petra.UniConnect.PSC-CW.MessageBoard01.BoardPost0101.Comment010201.Like01020101.create
Petra
David
Linda
tag.
created
comnt.
created
comnt.
created
comnt.
created
like.
created
like.
created
37. #DACHNUG50 2023, 15.06.2023 38
Prof. Dr. Petra Schubert & Sebastian Bahles
board.
created
post.
created
tag.
created
like.
created
comnt.
created
comnt.
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comnt.
created
like.
created
like.
created
Petra
David
Linda
Forum Discussion: Overview
38. #DACHNUG50 2023, 15.06.2023 39
Prof. Dr. Petra Schubert & Sebastian Bahles
IRECS Use Cases
Project Team
Organisation
(Projekt(team)-
organisation)
1
Note: All Use Cases can include external parties
Organisational Group
Organisation
(Organisationsgruppen-
organisation)
2
Internal Corporate
Communication
(Interne Unternehmens-
kommunikation)
3
Knowledge
Management
(Wissensmanagement)
4
Networking
(Networking)
5
Meeting
Organisation
(Sitzungsorganisation)
6
Asynchronous
Discussion
(Asynchrone Diskussion)
7
Synchronous
Discussion
(Synchrone Diskussion)
8
Ad hoc
Teamwork
(Synchrone ad hoc
Gruppenarbeit)
9
Idea and Innovation
Management
(Ideen- und Innovations-
management)
10
Information
Storage
(Informationsablage)
11
Document
Creation
(Dokumentenerstellung)
12
Task
Management
(Aufgabenverwaltung)
13
v
Composite Use Case:
= +
Asynchronous
Discussion
(Asynchrone Diskussion)
7
Synchronous
Discussion
(Synchrone Diskussion)
8
Internal Employee
Communication
(Interne Mitarbeiter-
kommunikation )
Basic Use Cases:
39. #DACHNUG50 2023, 15.06.2023 40
Prof. Dr. Petra Schubert & Sebastian Bahles
IRECS Collaboration Scenarios
Administering
documents
(Dokumente verwalten)
1
Alerting to news
(Auf Neuigkeiten
hinweisen)
2
Assigning tasks
(Aufgaben zuweisen)
3
Conducting a meeting
(Sitzung durchführen)
4
Conducting a survey
(Umfrage durchführen)
6
Creating meeting
minutes
(Sitzungsprotokoll
schreiben)
7
Discussing a topic
(Thema diskutieren)
8
Documenting
(Dokumentieren)
9
Joint authoring
(Gemeinsam Inhalte
erstellen)
12
Posting a short message
(Kurznachricht posten)
13
Preparing a meeting
(Sitzung vorbereiten)
14
Rating information
(Information bewerten)
15
Conducting a poll/vote
(Abstimmung
durchführen)
5
Enriching information
(Informationen
anreichern)
10
Retrieving information
(Informationen abrufen)
16
Search
(Suchen)
17
Sharing files
(Dateien teilen)
18
Sharing information
(Informationen teilen)
19
Finding an expert
(Experten finden)
11
Following people
and content
(Leuten und
Content folgen)
20
40. #DACHNUG50 2023, 15.06.2023 41
Prof. Dr. Petra Schubert & Sebastian Bahles
Use Case: Project Team Organisation
Project Team
Organisation
(Projekt(team)-
organisation)
1
4
Administering
documents
(Dokumente verwalten)
1
Alerting to news
(Auf Neuigkeiten
hinweisen)
2
Assigning tasks
(Aufgaben zuweisen)
3
Conducting a meeting
(Sitzung durchführen)
4
Conducting a survey
(Umfrage durchführen)
6
Creating meeting
minutes
(Sitzungsprotokoll
schreiben)
7
Discussing a topic
(Thema diskutieren)
8
Documenting
(Dokumentieren)
9
Joint authoring
(Gemeinsam Inhalte
erstellen)
12
Posting a short message
(Kurznachricht posten)
13
Preparing a meeting
(Sitzung vorbereiten)
14
Rating information
(Information bewerten)
15
Conducting a poll/vote
(Abstimmung
durchführen)
5
Enriching information
(Informationen
anreichern)
10
Retrieving information
(Informationen abrufen)
16
Search
(Suchen)
17
Sharing files
(Dateien teilen)
18
Sharing information
(Informationen teilen)
19
Finding an expert
(Experten finden)
11
43. No. Category Characteristics of contained questions…
No. of
Questions
Example BRM question
(1)
Benefits
incl. sub- categories
1.01-1.12
Relate to an improvement based on the adoption of ECS, perceived as positive by at least one
stakeholder and contributing towards at least one organizational objective. 226 See questions of sub-categories 1.01-1.12 below
(1.01) Transfer of knowledge Relate to improvements in knowledge transfer between individuals or between groups. 70 [F0066] What is the proportion of social documents on which at least
two users from different departments have worked jointly?
(1.02) Communication Relate to improvements in the relationship and the direction of communication as well as the
successful replacement of undesired tools (especially email). 43 [F0100] How often does communication skip one or more hierarchical
levels?
(1.03) Onboarding of new
employees
Relate to improvements in processes that help newly hired employees to familiarize themselves
with the job and to become effective at it. 18 [F0225] What is the proportion of network contacts that newly hired
employees are already actively exchanging information with?
(1.04) Networking Relate to links between user profiles in the ECS which are expected to have a positive effect on
cooperation and information exchange. 15 [F0273] What is the level of connectivity of users on the platform?
(1.05)
Personal
Information
Management
Relate to improvements based on virtual personal workspaces which are used by individuals in
order to support their personal information management. 13 [F0205] What is the proportion of users who assign tasks to themselves?
(1.06) Search for
people
Relate to improvements in the search as well as finding of already hired experts and talents
within the company. 13 [F0181] How many users from a particular department would like to
provide information based on their expertise more frequently?
(1.07) Innovation Relate to improvements in converting ideas into new or modified products, services or processes
for developing, maintaining or differentiating the company on the market. 13 [F0198] To what extent does the platform support employees to develop
and post ideas for new products?
(1.08) Attractiveness as an
employer
Relate to improvements in developing a positive company reputation so that it is perceived as an
attractive employer by potential job candidates. 9 [F0216] To what extent does the functional scope of the ECS meet the
expectations of potential job candidates?
(1.09) Employee
satisfaction Relate to improvements in employee satisfaction resulting from platform usage. 9 [F0265] How much does the mutual response to questions add to
employee satisfaction?
(1.10) Monetary
aspects
Relate to improvements that are linked to direct monetary benefits (e.g. profit, sales, time to
market) 9 [F0307] What is the turnover that can be directly attributed to the use of
the platform?
(1.11) Information
availability
Relate to improvements in granting access rights so that employees can access the relevant
information. 8 [F0158] What is the proportion of social documents that is accessible to
all users?
(1.12) Agility Relate to improvements in the ability to respond to market changes. 6 [F0305] How much does platform usage reduce the response time to
market changes?
(2) Usage Relate to the intensity of use of the platform (usage, number of “clicks”). 51 [F0047] How many user actions take place on average per user per
session within the observation period?
(3) Socio-technical change Relate to a change in social and organizational structures induced by the ECS. 17 [F0015] How many employees perceive changes and link them to ECS
usage?
(4) User Experience &
Usability
Relate to the objective and subjective fulfilment of the users' requirements on how the ECS
should behave in order to meet their needs and expectations. 10 [F0020] How positively or negatively is the user interface of the platform
rated?
(5) Dis-benefit Relate to an outcome of ECS adoption perceived as unfavorable by at least one stakeholder and
which is preventing the achievement of one or more organizational objectives. 9 [F0308] How much do users perceive stress from the number of available
social documents?
45. Parameter Short description
Question The overarching question that should be answered by applying a key figure in order to get a better understanding of the benefits realization
Question category Describe the stakeholders' shared understanding of which benefits (such as improvements in knowledge transfer or communication) and how these benefits
can be realized using ECS in the respective company
Data collection method The techniques, instructions and rules (e.g. observation or interview) used to extract data from a data source for being able to answer the overarching question
Data collection instrument To be used for recording and collecting information about the observed phenomenon according to the regulations of the selected data collection method
Data source A specific data or metadata set, a database or repository from where the needed data can be extracted
Reactivity of data Occurs when research activities (e.g. conducting an interview) changes the behavior of participants, who are aware of being study participants
Data type A set of values that have the same properties
Measured variable A quantitative and qualitative property (such as time or users) or a characteristic attribute (such as level of agreement of participants in a survey) that can be
expressed in a numerical value
Algorithm The calculation scheme that is used for quantitatively answering a question
Measurement unit An analytical, scalar quantity (such as hours) for comparing measured variables (such as time) of the same type
Measurement results Outcome of the measurement process in the form of a quantity value that can be used in combination with any other available relevant information for
answering the overarching question and evaluating whether the benefit is achieved or not
Visualization Different display formats (such as pie charts, line charts, tables or single numbers) are used that contribute to the understanding of the results
Interpretation Applying extensive contextual knowledge about the ECS for a meaningful and ethically compatible explanation of how the result can be understood and what
limitations must be considered in the evaluation, including the factors for achieving or not achieving the expected value/benefit
Target value The expected quantity of the measured variable is defined jointly by all stakeholders, considering known influencing factors and seasonal fluctuations of the
monitored benefit
Actions derived Encouraged decision on which actions will be derived from the measured results in order to improve or maintain the expected benefit in the future
52. #DACHNUG50 2023, 15.06.2023 55
Prof. Dr. Petra Schubert & Sebastian Bahles
Workspace types (classification)
Learning
Community
Community of
Practice
Community of
Interest
Information
Sharing
Platform News Project Team
Organizational
Unit
Recreation
61. Vielen Dank für die Aufmerksamkeit!
Weit über einfache Nutzungsstatistiken hinaus –
Analytics in HCL Connections
Prof. Dr. Petra Schubert & Sebastian Bahles
(Universität Koblenz)
sbahles@uni-koblenz.de
https://www.hcltechsw.com/connections
1. Understanding Collaborative Work
2. Designing the Technical Solution
62. #DACHNUG50 2023, 15.06.2023 74
Prof. Dr. Petra Schubert & Sebastian Bahles
DNUG e.V.
Goldenbergstrasse 1
50354 Hürth
Telefon: +49 30 20898805 0
Telefax: +49 30 20898805 1
E-Mail: info@dnug.de
Web: http://www.dnug.de