On behalf of SBI Consulting I¨ve made a webinar on September 25th about Data Monetization.
In the post covid-19 era, transformation of businesses to govern their data more as an asset will become of huge importance. Becoming more data driven and digital will only increase at an unseen pace.
The essence of this transformation and the emphasis will be on Data Monetization. Monetizing your data assets will be of vital importance if you¨d want to remain competitive and survive & thrive in the new normal.
In this webinar ^Data Monetization in a post-Covid era ̄, I cover topics such as:
What does Data Monetization entails
Why Data Monetization is important for your business
How does the post-Covid era impacts this monetization process
What do we mean with Infonomics and Data Debt
The 5 key takeaways to get started with Data Monetization
The outcome? A good understanding of Data Monetization and practical insights to get going immediately!
The State of Digital Transformation 2018 - 2019 by Brian SolisBrian Solis
?
"Digital is an enterprise-wide strategic priority ! but there's work to be done," according to Brian Solis and Altimeter, a Prophet company.
Now in its fifth year, our annual ^State of Digital Transformation ̄ research continues to document the constantly evolving enterprise. As disruptive technologies and their impact on organizations and markets continue to progress, our research aims to capture the shifts and trends that are shaping modern digital transformation.
In 2019, strategic digital transformation is only becoming more pervasive moving beyond IT to impact competitiveness throughout the organization. Budgets are soaring. The list of disruptive technologies on the radar of stakeholders is expanding. Ownership is moving to the C-Suite and managed by cross-functional, collaborative groups. Customer experience (CX) continues to lead digital transformation investments, but as we observed in 2017, employee experience and organizational culture are also rising in importance to empower and accelerate change, growth, and innovation.
Digital Transformation as an Enterprise-Wide Movement
This year, it¨s clear that digital transformation is maturing into an enterprise-wide movement. Digital transformation is modernizing how companies work and compete and helping them effectively adapt and grow in an evolving digital economy.
What¨s also evident is that there is still much work to do as companies are, by and large, prioritizing technology over grasping the disruptive trends that are influencing markets and, more specifically, customer and employee behaviors and expectations.
Learn more here: https://insights.prophet.com/the-state-of-digital-transformation-2018-2019
This document discusses the digital transformation of high-tech industries. It notes that profit and market value are migrating away from hardware and components towards internet platforms. It identifies trends like artificial intelligence, internet of things, cloud computing and edge processing driving changes. Few product companies have fully transformed, with internet platform companies outpacing spending on research and development. The document outlines a framework for companies to transform their core business while growing new business models in areas like connected products, living products and services, and ecosystem platforms. It emphasizes the need for digital talent and factories to drive transformation.
The Microsoft Cloud Adoption Framework for Azure provides a modular approach to help organizations align their business, people, and technology strategies to achieve business goals through cloud adoption. The framework consists of five stages - Ready, Plan, Adopt, Manage, and Govern - to deliver fast results with control and stability. It establishes a foundational cloud environment and provides guidance on defining a cloud strategy, planning adoption efforts, migrating and innovating workloads, managing operations, and establishing governance policies to ensure a well-managed, cross-cloud environment.
This document outlines the key concepts and components of establishing an effective data governance program, including typical business drivers, high-level goals, foundational principles, stakeholder collaboration, operating models, and organizational structures like a steering committee, council, and data stewardship team to develop strategy, tactics, and operations.
The document discusses strategies for product companies to speed time to market through building, buying, or partnering. It provides an overview of the benefits and tradeoffs of each approach. Case studies demonstrate examples of companies that successfully built, bought, or partnered. A framework is presented for analyzing situations to determine which approach is best based on factors like a product's lifecycle stage and customer needs. Guidelines are offered for assessing and enabling successful partners. The key strategies discussed are to build for technology leadership, buy for core business needs, and partner for fastest time to market and risk reduction.
Accenture digital transformation - re-imagine from the outside-inRick Bouter
?
This document discusses how companies can undergo a digital transformation focused on delivering enduring customer relevance at scale. It emphasizes the need to reimagine the business from an outside-in perspective focused on customer experiences. A successful digital transformation requires companies to delight customers with omni-channel experiences, reorient the business to be customer-centric and agile, and flex their technology platform to power customer experiences and business operations.
Many architects in companies ranging from small startups to publicly traded companies are turning to event-driven architectures to solve mission-critical scalability problems, often ones that carry real-time processing requirements. In this talk we'll demonstrate how you can use Apache Cassandra to build powerful event-driven systems in combination with technologies like Akka, RabbitMQ, and others. These concepts will help you radically simplify the design of complex systems and give you the ability to remain available and responsive even in the face of bursty workloads. If your organization does any sort of stream processing or real-time aggregation work with C*, then this talk is for you.
B2B Digital Advertising: Discovering Opportunities with Artificial IntelligenceDemandbase
?
B2B advertisers have been hesitant to adopt AI-driven approaches, in large part because most ad-tech solutions were built for their B2C counterparts.
But there are tremendous opportunities in B2B advertising and AI. Marketers are now able to derive real value for everything from dynamically adjusting campaigns to optimizing first- and third-party data. And that¨s just the beginning.
Register to learn about:
* Today¨s barriers to meaningful AI adoption by B2B marketers
* The roadmap to an AI-assisted approach to Account-Based Marketing
* Examples of real marketers putting AI-enabled platforms to work
Zendesk: Building a World-Class Cloud Center of Excellence (ENT309-S) - AWS r...Amazon Web Services
?
When it comes to doing the cloud right, no one size fits all. Yet sometimes organizations become distracted by the day-to-day management of cost, security, and overall operations. They can lose sight of the reasons they chose to embrace the cloud in the first place. How can you possibly manage it all and stay focused on the business outcomes that are most important? In this session, learn how forming a Cloud Center of Excellence (CCoE) has become an increasingly common way to address many of these challenges. When implemented well, the CCoE acts as a bridge, connecting all departments that use, measure, or fund your cloud operation.?This session is brought to you by AWS partner, CloudHealth Technologies.
Microsoft Data Warehouse Business Intelligence Lifecycle - The Kimball ApproachMark Ginnebaugh
?
Data Warehouse - Business Intelligence Lifecycle Overview by Warren Thronthwaite
This slide deck describes the Kimball approach from the best-selling Data Warehouse Toolkit, 2nd Edition. It was presented to the Bay Area Microsoft Business Intelligence User Group in October 2012.
Starting with business requirements and project definition, the lifecycle branches out into three tracks: Technical, Data and Applications. You will learn:
* The major steps in the Lifecycle and what needs to happen in each one.
* Why business requirements are so important and how they influence all major decisions across the entire DW/BI system.
* Key tools for prioritizing business requirements and creating an enterprise information framework.
* How to break up a DW/BI system into doable increments that add real business value and can be completed in a reasonable time frame.
New York City Housing Authority - BCG Engagement: key findings and recommenda...Felipe Sotelo A.
?
BCG was hired to help reshape NYCHA's central office support functions to achieve greater efficiency and effectiveness. Over multiple phases of work, BCG conducted a comprehensive assessment, developed recommendations, and provided implementation support. Key activities included analyzing NYCHA's organizational structure, business processes, IT systems and culture. BCG's recommendations targeted opportunities in these areas to streamline operations and redirect resources to front-line functions. If successfully implemented, the changes were projected to deliver substantial cost savings and other benefits to NYCHA.
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
?
The document discusses implementing data governance and stewardship programs at universities. It provides examples of programs at Stanford University, George Washington University, and in the Flanders region of Belgium. The key aspects covered are:
- Establishing a data governance framework with roles, processes, asset definitions. and oversight council.
- Implementing data stewardship activities like data quality management, metadata development, and reference data management.
- Stanford's program established foundations for institutional research through data quality and context definitions.
- George Washington runs a centralized program managed by the IT governance office.
- The Flanders program provides research information and services across universities through consistent definitions, roles and collaborative workflows.
This document provides an overview of the TV and video advertising ecosystem, mapping out the major players and technologies involved across targeted TV, content networks, OTT platforms, and connected devices. It shows the relationships between platforms, ad servers, agencies, trading desks, data management companies, social networks, and more in the broader video advertising landscape.
Data monetization is generating revenue from data sources by capturing, analyzing, and disseminating data. It allows companies to sell data generated from customer interactions. To successfully monetize data, companies must understand their data assets, potential consumers, and how to add value through insights. A framework is needed to move raw data to solutions by assessing the data value stages from transactions to analytics. Various sectors can monetize data through use cases like banks providing merchant insights or telecom location data enabling targeted offers. Privacy and strategy are important considerations to effectively monetize data in the new digital economy.
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
?
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
Data management best practices - infographicIntellspot
?
Best practices for data management including data governance, data stewardship, data integration, data quality, and enterprise master data management best practices and strategies.
Created with Mandar Kulkarni and Manish Chhabra for Elements of Software Management at Carnegie Mellon University. Business prognosis created for Veeva Systems, a profitable SaaS company focused on the Life Sciences industry.
This document outlines the key concepts and components of establishing an effective data governance program, including typical business drivers, high-level goals, foundational principles, stakeholder collaboration, operating models, and organizational structures like a steering committee, council, and data stewardship team to develop strategy, tactics, and operations.
The document discusses strategies for product companies to speed time to market through building, buying, or partnering. It provides an overview of the benefits and tradeoffs of each approach. Case studies demonstrate examples of companies that successfully built, bought, or partnered. A framework is presented for analyzing situations to determine which approach is best based on factors like a product's lifecycle stage and customer needs. Guidelines are offered for assessing and enabling successful partners. The key strategies discussed are to build for technology leadership, buy for core business needs, and partner for fastest time to market and risk reduction.
Accenture digital transformation - re-imagine from the outside-inRick Bouter
?
This document discusses how companies can undergo a digital transformation focused on delivering enduring customer relevance at scale. It emphasizes the need to reimagine the business from an outside-in perspective focused on customer experiences. A successful digital transformation requires companies to delight customers with omni-channel experiences, reorient the business to be customer-centric and agile, and flex their technology platform to power customer experiences and business operations.
Many architects in companies ranging from small startups to publicly traded companies are turning to event-driven architectures to solve mission-critical scalability problems, often ones that carry real-time processing requirements. In this talk we'll demonstrate how you can use Apache Cassandra to build powerful event-driven systems in combination with technologies like Akka, RabbitMQ, and others. These concepts will help you radically simplify the design of complex systems and give you the ability to remain available and responsive even in the face of bursty workloads. If your organization does any sort of stream processing or real-time aggregation work with C*, then this talk is for you.
B2B Digital Advertising: Discovering Opportunities with Artificial IntelligenceDemandbase
?
B2B advertisers have been hesitant to adopt AI-driven approaches, in large part because most ad-tech solutions were built for their B2C counterparts.
But there are tremendous opportunities in B2B advertising and AI. Marketers are now able to derive real value for everything from dynamically adjusting campaigns to optimizing first- and third-party data. And that¨s just the beginning.
Register to learn about:
* Today¨s barriers to meaningful AI adoption by B2B marketers
* The roadmap to an AI-assisted approach to Account-Based Marketing
* Examples of real marketers putting AI-enabled platforms to work
Zendesk: Building a World-Class Cloud Center of Excellence (ENT309-S) - AWS r...Amazon Web Services
?
When it comes to doing the cloud right, no one size fits all. Yet sometimes organizations become distracted by the day-to-day management of cost, security, and overall operations. They can lose sight of the reasons they chose to embrace the cloud in the first place. How can you possibly manage it all and stay focused on the business outcomes that are most important? In this session, learn how forming a Cloud Center of Excellence (CCoE) has become an increasingly common way to address many of these challenges. When implemented well, the CCoE acts as a bridge, connecting all departments that use, measure, or fund your cloud operation.?This session is brought to you by AWS partner, CloudHealth Technologies.
Microsoft Data Warehouse Business Intelligence Lifecycle - The Kimball ApproachMark Ginnebaugh
?
Data Warehouse - Business Intelligence Lifecycle Overview by Warren Thronthwaite
This slide deck describes the Kimball approach from the best-selling Data Warehouse Toolkit, 2nd Edition. It was presented to the Bay Area Microsoft Business Intelligence User Group in October 2012.
Starting with business requirements and project definition, the lifecycle branches out into three tracks: Technical, Data and Applications. You will learn:
* The major steps in the Lifecycle and what needs to happen in each one.
* Why business requirements are so important and how they influence all major decisions across the entire DW/BI system.
* Key tools for prioritizing business requirements and creating an enterprise information framework.
* How to break up a DW/BI system into doable increments that add real business value and can be completed in a reasonable time frame.
New York City Housing Authority - BCG Engagement: key findings and recommenda...Felipe Sotelo A.
?
BCG was hired to help reshape NYCHA's central office support functions to achieve greater efficiency and effectiveness. Over multiple phases of work, BCG conducted a comprehensive assessment, developed recommendations, and provided implementation support. Key activities included analyzing NYCHA's organizational structure, business processes, IT systems and culture. BCG's recommendations targeted opportunities in these areas to streamline operations and redirect resources to front-line functions. If successfully implemented, the changes were projected to deliver substantial cost savings and other benefits to NYCHA.
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
?
The document discusses implementing data governance and stewardship programs at universities. It provides examples of programs at Stanford University, George Washington University, and in the Flanders region of Belgium. The key aspects covered are:
- Establishing a data governance framework with roles, processes, asset definitions. and oversight council.
- Implementing data stewardship activities like data quality management, metadata development, and reference data management.
- Stanford's program established foundations for institutional research through data quality and context definitions.
- George Washington runs a centralized program managed by the IT governance office.
- The Flanders program provides research information and services across universities through consistent definitions, roles and collaborative workflows.
This document provides an overview of the TV and video advertising ecosystem, mapping out the major players and technologies involved across targeted TV, content networks, OTT platforms, and connected devices. It shows the relationships between platforms, ad servers, agencies, trading desks, data management companies, social networks, and more in the broader video advertising landscape.
Data monetization is generating revenue from data sources by capturing, analyzing, and disseminating data. It allows companies to sell data generated from customer interactions. To successfully monetize data, companies must understand their data assets, potential consumers, and how to add value through insights. A framework is needed to move raw data to solutions by assessing the data value stages from transactions to analytics. Various sectors can monetize data through use cases like banks providing merchant insights or telecom location data enabling targeted offers. Privacy and strategy are important considerations to effectively monetize data in the new digital economy.
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
?
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
Data management best practices - infographicIntellspot
?
Best practices for data management including data governance, data stewardship, data integration, data quality, and enterprise master data management best practices and strategies.
Created with Mandar Kulkarni and Manish Chhabra for Elements of Software Management at Carnegie Mellon University. Business prognosis created for Veeva Systems, a profitable SaaS company focused on the Life Sciences industry.
Oppiminen online on pelillist? t?ydennyskoulutusta opetushenkil?st?lle. OsaOppi III C Osaamispisteet peliss? Chanke on OPH:n rahoittama
pelillinen ammatillisen koulutuksen opetustoimen henkil?st?n
osaamisen kehitt?misohjelma. Se pohjautuu OPE.fi-taitotasoihin,
keskeisen? teemana tieto- ja viestint?teknologian opetus- ja
ohjausk?yt?nn?n kehitt?minen ja edist?minen ammatillisessa
koulutuksessa.
Poluttamo-webinaari: Osaamismerkit k?ytt??n opiskelijoiden kanssa - Esko Lius...Suomen eOppimiskeskus ry
?
Poluttamo-webinaari
16.1.2018
Omnian autoalan osaamismerkit kertovat osaamisesta laajemmin kuin pelk?t OPSin sis?ll?t. Viime syksyn? testattiin, kuinka opiskelijoiden perehdytys voidaan pelillist?? ja osaamismerkkej? hy?dynt?? sek? motivoinnissa ett? opiskelijoiden tukemisessa.
Webinaarissa Esko Lius Omniasta kertoo tarkemmin mit? tehtiin, mit? opittiin ja mit? tulisi ottaa huomioon, jos ja kun osaamismerkkej? l?hdet??n hy?dynt?m??n in/nonformaalin osaamisen n?kyv?ksi tekemiseksi.
https://poluttamo.fi/webinaarit/
Yugoslavia Socialism Development and Debt David A. Dykerleceiplik
?
Yugoslavia Socialism Development and Debt David A. Dyker
Yugoslavia Socialism Development and Debt David A. Dyker
Yugoslavia Socialism Development and Debt David A. Dyker
(eBook PDF) An Introduction to Human Services 8th Editionrefnipaillo
?
(eBook PDF) An Introduction to Human Services 8th Edition
(eBook PDF) An Introduction to Human Services 8th Edition
(eBook PDF) An Introduction to Human Services 8th Edition
Genetics and Genomics for Nursing 1st Edition Kenner Solutions Manualbasnetirasel
?
Genetics and Genomics for Nursing 1st Edition Kenner Solutions Manual
Genetics and Genomics for Nursing 1st Edition Kenner Solutions Manual
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Introduction to Thermal Systems Engineering Thermodynamics Fluid Mechanics an...vukeljavanov67
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Introduction to Thermal Systems Engineering Thermodynamics Fluid Mechanics and Heat Transfer 8/18/02 Edition Moran
Introduction to Thermal Systems Engineering Thermodynamics Fluid Mechanics and Heat Transfer 8/18/02 Edition Moran
Introduction to Thermal Systems Engineering Thermodynamics Fluid Mechanics and Heat Transfer 8/18/02 Edition Moran
Mathematical physics in theoretical chemistry First Edition Blinder S.M.fazaryalokad
?
Mathematical physics in theoretical chemistry First Edition Blinder S.M.
Mathematical physics in theoretical chemistry First Edition Blinder S.M.
Mathematical physics in theoretical chemistry First Edition Blinder S.M.
Test Bank for Global Marketing, 10th Edition, Mark C. Green, Warren J. Keeganbunglexingru
?
Test Bank for Global Marketing, 10th Edition, Mark C. Green, Warren J. Keegan
Test Bank for Global Marketing, 10th Edition, Mark C. Green, Warren J. Keegan
Test Bank for Global Marketing, 10th Edition, Mark C. Green, Warren J. Keegan
Clinician s Guide to Engaging Parents in their Children s Education 1st Editi...kilaneemrr
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Clinician s Guide to Engaging Parents in their Children s Education 1st Edition Iheoma Iruka (Auth.)
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Clinician s Guide to Engaging Parents in their Children s Education 1st Edition Iheoma Iruka (Auth.)
(eBook PDF) Java Foundations: Introduction to Program Design and Data Structu...usdawiedl
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(eBook PDF) Java Foundations: Introduction to Program Design and Data Structures 5th Edition
(eBook PDF) Java Foundations: Introduction to Program Design and Data Structures 5th Edition
(eBook PDF) Java Foundations: Introduction to Program Design and Data Structures 5th Edition
Download full ebook of Test Bank for MKTG, 4th Edition: Lamb instant download...grimajvikilu
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Download full ebook of Test Bank for MKTG, 4th Edition: Lamb instant download pdf
Download full ebook of Test Bank for MKTG, 4th Edition: Lamb instant download pdf
Download full ebook of Test Bank for MKTG, 4th Edition: Lamb instant download pdf
Test Bank for Computer Security: Principles and Practice, 4th Edition, Willia...rolerihifzan
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Test Bank for Computer Security: Principles and Practice, 4th Edition, William Stallings, Lawrie Brown
Test Bank for Computer Security: Principles and Practice, 4th Edition, William Stallings, Lawrie Brown
Test Bank for Computer Security: Principles and Practice, 4th Edition, William Stallings, Lawrie Brown
Magnetic Sensors and Devices: Technologies and Applications 1st Edition Franciszkaryagevara
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Magnetic Sensors and Devices: Technologies and Applications 1st Edition Francis
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Magnetic Sensors and Devices: Technologies and Applications 1st Edition Francis
Theology and the university in nineteenth century Germany 1st Edition Purvisnorlinekow90
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Theology and the university in nineteenth century Germany 1st Edition Purvis
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(eBook PDF) Encyclopedia of Food Security and Sustainabilitylegrowheymer
?
(eBook PDF) Encyclopedia of Food Security and Sustainability
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, ...spoddyroseni8
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3. 3 17.4.2014 openbadgefactory.com
? Osaamista ja taitoja kertyy harrastuksissa,
yhdistystoiminnassa, ty?el?m?ss?, projekteissa ja
ty?pajoissa
? Vaikea n?ytt?? toteen ja j?? usein piiloon
? Tekninen infrastruktuuri, jonka avulla kenen tahansa on
helppo my?nt??, vastaanottaa ja n?ytt?? osaamista
internetiss?
? Auttaa ihmisi? n?ytt?m??n 2000-luvun taitoja -> avaa
samalla uusia ty?ura- ja koulutusmahdollisuuksia
Mozillan tavoitteet
5. 5 17.4.2014 openbadgefactory.com
Mik? on Open Badge Cosaamismerkki?
? Digitaalinen merkki, jolla voidaan visuaalisesti osoittaa
henkil?n taitoja ja osaamista
? Koostuu PNG-kuvasta ja siihen liitetyst? metadatasta
? Metadataa ovat mm. tiedot my?nt?j?st?, kriteerit, joiden
perusteella merkki my?nnet??n sek? todisteet, joilla
todennetaan osaaminen
11. 11 17.4.2014 openbadgefactory.com
Merkkireppu
? Badge Backpack eli
merkkireppu on Mozillan
tarjoama ilmainen
pilvipalvelu, jonne merkin
saaja voi ker?t?
ansaitsemansa
osaamismerkit
? Merkin saaja p??tt?? itse
merkin k?yt?st? ja minne
julkaisee (displayer)
osaamismerkkins?
12. 12 17.4.2014 openbadgefactory.com
Osaamismerkkeihin liittyv?t roolit
? Earner/learner = saaja/oppija: yksityinen henkil?, joka ansaitsee
osaamismerkin jostakin taidosta, osaamisesta tai saavutuksesta
? Issuer = my?nt?j?: yleens? organisaatio (voi olla my?s yksityinen
henkil?), joka my?nt?? osaamismerkkej? kun jokin taito tai
osaaminen on n?ytetty toteen
? Displayer = n?ytt?v?line: palvelu, jossa merkin saaja voi n?ytt??
ansaitsemiaan osaamismerkkej?. Esim. Facebook, Google+, Twitter,
LinkedIn, Kyvyt.fi´
? Consumer = loppuk?ytt?j?: henkil?, joka katselee merkin saajan
julkaisemia merkkej?
13. 13 17.4.2014 openbadgefactory.com
Open Badges -konseptin ominaisuudet
? Osaamismerkki kertoo saajan osaamisen lis?ksi sen
tunnistajasta ja kriteereist?, joiden pohjalta osaaminen
on todennettu
? Osaamismerkki on sertifioitu todiste
? Osaamismerkin arvo ei synny vain my?nt?j?n asemasta
vaan my?s siit? arvosta, joka syntyy saajan ja merkin
loppuk?ytt?j?n kannalta (arvoketju)
18. 18 17.4.2014 openbadgefactory.com
Case: Chicago Summer of Learning
? Kohderyhm?: kaikenik?iset nuoret
? Mukana yli 100 organisaatiota
? Osaamismerkkien kategoriat: tiede, teknologia, insin??ritaidot, taide
ja matematiikka
? Kolme ik?ryhm??: alle 13-vuotiaat, 13C18-vuotiaat, 19C24-vuotiaat
? Kolme erilasta merkkityyppi?: osallistuminen, taito ja saavutus
? Erilaisia ansaittavia merkkej? oli yli 1000
19. 19 17.4.2014 openbadgefactory.com
Case: Chicago Summer of Learning
Tavoitteet
? 10 000 nuorta osallistumaan
? 100 organisaatiota mukaan
? V?ltt?? pelkkien osallistumismerkkien my?nt?mist?, tavoitteena oli,
ett? osaamismerkeill? on jotain merkityst?
Tulokset
? Yli 125 organisaatiota osallistui
? Yli tuhat osaamismerkki? oli ansaittavissa
? Merkkityypit: 3 % osallistuminen, 92 % taito ja 5 % saavutus
? Yli 150 000 merkki? my?nnettiin
? Yli 50 000 merkki? otettu vastaan
20. 20 17.4.2014 openbadgefactory.com
Open Badge Factory
? Discendum Oy:n kehitt?m? palvelu,
jonka avulla organisaatiot voivat
luoda, my?nt?? ja hallita omia
osaamismerkkej??n
? Taustalla TEKES-rahoitteinen
projekti (6/2013 C 12 /2014), jossa
ovat mukana Discendumin lis?ksi
IlonaIT, Raisoft, Kokkolan
yliopistokeskus Chydenius ja OK-
opintokeskus sek? Mozilla-s??ti?
? Palvelu avattiin pilottik?ytt??n
15.1.2014 ja pilotointi kest?? vuoden
2014 loppuun asti (veloituksetta)
21. 21 17.4.2014 openbadgefactory.com
Open Badge Factory
? K?ytt?kielet: suomi ja englanti
? On integroitavissa mm.
Moodleen, Kyvyt.fi:hin,
Maharaan´
? Osaamismerkkej? voi
hallita yhdess? paikassa,
mutta niit? voi my?nt??
useammasta eri j?rjestelm?st?
? Open API mahdollistaa omien
pluginien tekemisen (kts.
https://openbadgefactory.com/d
evelopers/)
22. 22 17.4.2014 openbadgefactory.com
Open Badge Factory - Raportointi
? Palvelusta l?ytyv?t kattavat
raportit organisaation
osaamismerkkien
seuraamista varten
? Kokonaistilastojen lis?ksi
merkkien el?m?? voi
seurata mm.
merkkikohtaisesti ja
my?nt?miskertakohtaisesti
23. 23 17.4.2014 openbadgefactory.com
Pilotoimaan
? Pilotoimaan p??see kun organisaatiosta yksi henkil?,
jolla on valtuudet ottaa palvelu k?ytt??n, k?y
t?ytt?m?ss? lomakkeen:
https://openbadgefactory.com/about/getstarted
? Pilotointi on maksutonta ja edellytt?? organisaatiolta
k?ytt?kokemusten jakamisen kehitt?jille erikseen
toimitettavan kyselyn kautta
24. 24 17.4.2014 openbadgefactory.com
Ohjeita palvelun k?ytt??n
? Palvelussa on kirjalliset ohjeet
palvelun k?ytt??n
? Lis?ksi muutamista
p??toiminnoista on ohjevideot,
joihin voi k?yd? tutustumassa
Discendumin YouTube-
kanavalla:
? Osaamismerkkien luominen
http://www.youtube.com/watch?v=O-EOKG00udk
? Osaamismerkkien
my?nt?minenhttp://www.youtube.com/w
atch?v=GlJd4AJrJXs
25. 25 17.4.2014 openbadgefactory.com
Tulevat tapahtumat
? Open Badge Cworkshop 7.5.2014 Helsinki, Kalasatama
? Open Badge Cverkkokurssi 16.C29.9.2014
Ilmoittautuminen: http://www.discendum.com/koulutukset
26. 26 17.4.2014 openbadgefactory.com
Lis?tietoja
? www.openbadgefactory.com
? Facebook:
https://www.facebook.com/groups/openbadgesFI/
? www.openbadges.org
Heli Karjalainen
asiakaspalvelup??llikk?
Discendum Oy
heli.karjalainen@discendum.com
27. 27 17.4.2014 openbadgefactory.com
L?hteet
? Mozilla Open Badges: http://www.openbadges.org/
? Mozilla Open Badges blogi: https://blog.mozilla.org/blog/2012/04/10/mozilla-open-
badges-beta/
? Mozilla Open Badges blogi: http://openbadges.tumblr.com/post/64106438071/csol-
and-beyond-reflections-on-the-chicago-summer-of
? Mozilla aikajana: http://www.tiki-toki.com/timeline/entry/216462/Open-Badges-in-
2013/#vars!date=2013-12-13_00:10:39
? Tim Riches / DigitalMe: http://www.slideshare.net/timriches96/bett-creating-a-new-
currency-for-learners-using-open-badges?qid=dc127664-ae2c-488e-8cb2-
6cbfd0202d28&v=default&b=&from_search=20
? Chicago Summer of Learning: http://www.chicagosummeroflearning.org/