This document discusses securing big data as it travels and is analyzed. It outlines some of the key challenges organizations face with big data including increasing volumes of data from various sources, managing data privacy, and optimizing return on investment from big data analytics. Effective data governance is important for managing data as an asset and meeting regulatory compliance. However, many companies struggle with data governance due to short-term priorities and political issues. An iterative approach focusing on specific data sets can help companies start seeing results more quickly from data governance.
Based on the IoT innovation analysis and insights for the future IoT innovation/business directions, the IoT products/services innovation and patent portfolios development strategy can be developed by exploiting the system evolution principle (e.g. TRIZ) for each subsystem and the system as a whole and scenario planning methodology.
Existing patents can be exploited for the development of the disruptive IoT products/services using the “Blue Ocean Patent Strategy.” The basic principle in the Blue Ocean Patent Strategy is to exploit patents to achieve the value innovation by using the patented technologies to create new values, and thus, to provide new products/services. The exploitation of existing patented technologies not only allows the low cost IoT product/service development but also provides the protection against competitors’ infringement. Existing patents can also be exploited for the development of a new IoT startup.
Governance: The key to effecting successful Digital TransformationGuy Pearce
A deck I presented at McMaster University (DeGroote School of Business) on the multi-disciplinary complexity of achieving successful digital transformation
The research examines the sustainability reporting practices of the largest 200 companies by market capitalisation listed on HKEX. These 200 companies capture approximately 50% of the total market capitalization, encompassing the constituent stocks of Hang Seng Index and MSCI Hong Kong Index.
Based on the IoT innovation analysis and insights for the future IoT innovation/business directions, the IoT products/services innovation and patent portfolios development strategy can be developed by exploiting the system evolution principle (e.g. TRIZ) for each subsystem and the system as a whole and scenario planning methodology.
Existing patents can be exploited for the development of the disruptive IoT products/services using the “Blue Ocean Patent Strategy.” The basic principle in the Blue Ocean Patent Strategy is to exploit patents to achieve the value innovation by using the patented technologies to create new values, and thus, to provide new products/services. The exploitation of existing patented technologies not only allows the low cost IoT product/service development but also provides the protection against competitors’ infringement. Existing patents can also be exploited for the development of a new IoT startup.
Governance: The key to effecting successful Digital TransformationGuy Pearce
A deck I presented at McMaster University (DeGroote School of Business) on the multi-disciplinary complexity of achieving successful digital transformation
The research examines the sustainability reporting practices of the largest 200 companies by market capitalisation listed on HKEX. These 200 companies capture approximately 50% of the total market capitalization, encompassing the constituent stocks of Hang Seng Index and MSCI Hong Kong Index.
Agenda:
Part I
ESG Trends to Watch in 2021 - Alex G. Lee
The Role and ROI of ESG in Private Equity - Mike Spaeth
The state of the art AI innovations Status - Alex G. Lee
Part II
Status of AI applications for ESG - Alex G. Lee
Live Demos of AI applications for ESG analysis (ESG scoring, investing opportunities/risks identification) - Alex G. Lee
Weave.AI's Spectrum ESG Demo - Nosa Omoigui
EcoVadis' (https://ecovadis.com/) Business Sustainability Ratings Practices - Mike Spaeth
Part III
Status of blockchain applications for ESG - Alex G. Lee
Introduction of DeFi- Alex G. Lee
DeFi based ESG financing platform development - Alex G. Lee
Part IV
Q&A & Discussion - Alex G. Lee & Mike Spaeth
Contents
I. ESG Introduction
ESG Management Matters?
ESG Investment Matters?
ESG Management Status
ESG Investment Status
ESG Investing Consideration Core Factors
ESG Reporting Frameworks & Guidelines
ESG Reporting Trends to Watch in 2021
ESG in S. Korea
My ESG Book Recommendation
II. AI & Blockchain Applications for ESG
AI Applications for ESG Investing Demos
ESG Knowledge Map (AI Topic Modeling)
ESG Performance Score - Materiality Comparisons Across Industries
ESG Incident (Risks) Analysis in S. Korea
Blockchain for ESG Management
Blockchain DeFi Based ESG Financing
DeFi Based ESG Financing Platform Development
DeFi Reference
III. ESG Digital Transformation
ESG Digital Transformation (DX)
The Fourth Wave of Environmentalism
AI Innovation State Of The Art
Blockchain State Of The Art: Issues with Public Chain
IoT Innovation State Of The Art: 5G & Edge AI
AI Blockchain IoT for ESG Digital Transformation AT A Glance
ESG DX Innovation Insights from Patents
AI Blockchain IoT Convergence for ESG DX Insights from Patents
ESG Cybersecurity & Privacy
ESG Cybersecurity & Privacy Reporting Standard
Global Standard for Reporting Cybersecurity & Privacy
Cybersecurity & Privacy Reporting Standard Development
ESG DX Framework Development
Issues with Current ESG Performance Evaluation
ESG DX for ESG Management & Investment
WEF/IBC Metrics & Disclosure Standard
SASB Materiality Map
How to Determine Materiality?
ESG DX Framework for Metrics Digitalization & Reporting Automation Exploiting Existing IT/Digital Technology System
ESG DX Framework for ESG Metrics Data Governance
ESG DX Framework for Business Innovation & Growth
ESG DX Framework based on AI+Blockchain+IoT Convergence
ESG DX Framework for New Deal Project in S. Korea
ESG DX Forum
Emerging Technologies - The Future Of Finance (CIMA Feb 2019)Michael Sadler
A presentation by IBM on the topic of "The Future Of Finance" examining emerging trends, and how accountants can to prepare for the transition from "running the numbers" to being value-adding partners to the business.
Hivos, a Dutch development organization, in cooperation with IDRC, Adept Systems and Triodos Facet, is pleased to invite you to a seminar on open source Management Information Systems and ICT trends in Microfinance, on 25th and 26th November 2010 in Tanzania.
Speaker: Michael Wakahe, Director, Shujaa Solutions Ltd
Date: 25th - 26th Nov 2010
Venue: Protea Court Yard Hotel, Dar es Salaam, Tanzania
How COVID-19 is Accelerating Digital Transformation in Health and Social Care?NUS-ISS
Without a doubt, COVID-19 has become the unexpected driver for digital transformation. It is accelerating the transformation, especially in the health and social care space, as we are forced to adapt to the new norm brought about by the crisis. Join us as we discuss the trends and what might be the new health and social care landscape in Singapore after 2020.
Ahead of the curve: Smart ESG reporting for EAMsEdwinStrauss2
Criteria based ESG reporting. System live demo at Sphere Conference Genf, Sep 6th, 2021. Etops was presenting parts of the ESG solution used by Globalance Bank. For further information pls feel free to contact: sales@etops.ch
Webinar - Een duurzame Asset Management StrategieStork
Slides van een webinar over de aanpak en noodzakelijke elementen voor het ontwikkelen van een duurzame asset management strategie. Gegeven door Joris Grimbergen van Stork Asset Management Technology.
Exploring operational challenges for servitization: an European surveyShaun West
Purpose: The purpose of this paper is to describe the priority of the management challenges managers and leaders in service businesses have faced during the servitization journey. The paper builds upon the work presented by West, Schmitt and Siepen (2014), West and Gaiardelli (2017) and West and Gaiardelli (2016). This is an initial study with the aim to identify some common themes and trends within the firms and highlight new areas for research.
Design/Methodology/Approach: The paper is based on the results of a survey conducted with over 100 service managers across European industrial firms and supported with 20 interviews made previously by West and Gaiardelli (2016). Seven categories characterizing change management challenges in servitization were identified from the literature, and each category was associated with its specific challenges. Theoretical foundations were then used to support researchers to design the research sample and define the questionnaire’s structure, wording, and scaling.
Findings: This paper provides insights into the challenges of implementing servitization strategy and prioritizes the key barriers that businesses are facing in their journey towards servitization.
Originality/Value: This descriptive paper that provides a ranking of the most import barriers to servitization with insights from the 20 interviews and a survey with 111 responses
Developed with Forum for the Future, an international sustainability non-profit organization, and based on our own interviews and executive survey, Vision 2030: A connected future highlights the opportunities that experts and business leaders see for IoT, data and connectivity to create a sustainable future.
The report outlines a future vision for IoT driven connectivity and highlights the barriers that need to be overcome to realize this vision and concludes with recommended next steps.
Designing Enhanced Supervision for the Evolving Wealth Management Ecosystemaccenture
Converging and rapidly evolving industry trends are creating a new wealth management environment demanding Wealth Managers redefine supervisory governance to best support the firm’s growth strategies while balancing strong risk management. In this new Accenture Finance & Risk presentation we explore the evolving wealth management trends and challenges and outline four key business supervision design questions to support sustainable, long-term growth.
Towards a BIG Data Public Private PartnershipEdward Curry
Building an industrial community around Big Data in Europe is the priority of the BIG: Big Data Public Private Forum project. In this workshop we will present the work of the project including analysis of foundational Big Data research technologies, technology and strategy roadmaps to enable business to understand the potential of Big Data technologies, and the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations. BIG is working towards the definition and implementation of a clear strategy that tackles the necessary efforts in terms of Big Data research and innovation, while also providing a major boost for technology adoption and supporting actions for the successful implementation of the Big Data economy.
General Data Protection Regulation (GDPR) Implications for Canadian Firmsaccenture
The General Data Protection Regulation (GDPR) represents significant challenges for financial institutions to comply with the new data processing and record keeping requirements. This Accenture Finance & Risk presentation explores the impact of GDPR on Canadian firms, including lessons learned from our work with clients and knowledge gained that can be used for an effective GDPR journey.
Agenda:
Part I
ESG Trends to Watch in 2021 - Alex G. Lee
The Role and ROI of ESG in Private Equity - Mike Spaeth
The state of the art AI innovations Status - Alex G. Lee
Part II
Status of AI applications for ESG - Alex G. Lee
Live Demos of AI applications for ESG analysis (ESG scoring, investing opportunities/risks identification) - Alex G. Lee
Weave.AI's Spectrum ESG Demo - Nosa Omoigui
EcoVadis' (https://ecovadis.com/) Business Sustainability Ratings Practices - Mike Spaeth
Part III
Status of blockchain applications for ESG - Alex G. Lee
Introduction of DeFi- Alex G. Lee
DeFi based ESG financing platform development - Alex G. Lee
Part IV
Q&A & Discussion - Alex G. Lee & Mike Spaeth
Contents
I. ESG Introduction
ESG Management Matters?
ESG Investment Matters?
ESG Management Status
ESG Investment Status
ESG Investing Consideration Core Factors
ESG Reporting Frameworks & Guidelines
ESG Reporting Trends to Watch in 2021
ESG in S. Korea
My ESG Book Recommendation
II. AI & Blockchain Applications for ESG
AI Applications for ESG Investing Demos
ESG Knowledge Map (AI Topic Modeling)
ESG Performance Score - Materiality Comparisons Across Industries
ESG Incident (Risks) Analysis in S. Korea
Blockchain for ESG Management
Blockchain DeFi Based ESG Financing
DeFi Based ESG Financing Platform Development
DeFi Reference
III. ESG Digital Transformation
ESG Digital Transformation (DX)
The Fourth Wave of Environmentalism
AI Innovation State Of The Art
Blockchain State Of The Art: Issues with Public Chain
IoT Innovation State Of The Art: 5G & Edge AI
AI Blockchain IoT for ESG Digital Transformation AT A Glance
ESG DX Innovation Insights from Patents
AI Blockchain IoT Convergence for ESG DX Insights from Patents
ESG Cybersecurity & Privacy
ESG Cybersecurity & Privacy Reporting Standard
Global Standard for Reporting Cybersecurity & Privacy
Cybersecurity & Privacy Reporting Standard Development
ESG DX Framework Development
Issues with Current ESG Performance Evaluation
ESG DX for ESG Management & Investment
WEF/IBC Metrics & Disclosure Standard
SASB Materiality Map
How to Determine Materiality?
ESG DX Framework for Metrics Digitalization & Reporting Automation Exploiting Existing IT/Digital Technology System
ESG DX Framework for ESG Metrics Data Governance
ESG DX Framework for Business Innovation & Growth
ESG DX Framework based on AI+Blockchain+IoT Convergence
ESG DX Framework for New Deal Project in S. Korea
ESG DX Forum
Emerging Technologies - The Future Of Finance (CIMA Feb 2019)Michael Sadler
A presentation by IBM on the topic of "The Future Of Finance" examining emerging trends, and how accountants can to prepare for the transition from "running the numbers" to being value-adding partners to the business.
Hivos, a Dutch development organization, in cooperation with IDRC, Adept Systems and Triodos Facet, is pleased to invite you to a seminar on open source Management Information Systems and ICT trends in Microfinance, on 25th and 26th November 2010 in Tanzania.
Speaker: Michael Wakahe, Director, Shujaa Solutions Ltd
Date: 25th - 26th Nov 2010
Venue: Protea Court Yard Hotel, Dar es Salaam, Tanzania
How COVID-19 is Accelerating Digital Transformation in Health and Social Care?NUS-ISS
Without a doubt, COVID-19 has become the unexpected driver for digital transformation. It is accelerating the transformation, especially in the health and social care space, as we are forced to adapt to the new norm brought about by the crisis. Join us as we discuss the trends and what might be the new health and social care landscape in Singapore after 2020.
Ahead of the curve: Smart ESG reporting for EAMsEdwinStrauss2
Criteria based ESG reporting. System live demo at Sphere Conference Genf, Sep 6th, 2021. Etops was presenting parts of the ESG solution used by Globalance Bank. For further information pls feel free to contact: sales@etops.ch
Webinar - Een duurzame Asset Management StrategieStork
Slides van een webinar over de aanpak en noodzakelijke elementen voor het ontwikkelen van een duurzame asset management strategie. Gegeven door Joris Grimbergen van Stork Asset Management Technology.
Exploring operational challenges for servitization: an European surveyShaun West
Purpose: The purpose of this paper is to describe the priority of the management challenges managers and leaders in service businesses have faced during the servitization journey. The paper builds upon the work presented by West, Schmitt and Siepen (2014), West and Gaiardelli (2017) and West and Gaiardelli (2016). This is an initial study with the aim to identify some common themes and trends within the firms and highlight new areas for research.
Design/Methodology/Approach: The paper is based on the results of a survey conducted with over 100 service managers across European industrial firms and supported with 20 interviews made previously by West and Gaiardelli (2016). Seven categories characterizing change management challenges in servitization were identified from the literature, and each category was associated with its specific challenges. Theoretical foundations were then used to support researchers to design the research sample and define the questionnaire’s structure, wording, and scaling.
Findings: This paper provides insights into the challenges of implementing servitization strategy and prioritizes the key barriers that businesses are facing in their journey towards servitization.
Originality/Value: This descriptive paper that provides a ranking of the most import barriers to servitization with insights from the 20 interviews and a survey with 111 responses
Developed with Forum for the Future, an international sustainability non-profit organization, and based on our own interviews and executive survey, Vision 2030: A connected future highlights the opportunities that experts and business leaders see for IoT, data and connectivity to create a sustainable future.
The report outlines a future vision for IoT driven connectivity and highlights the barriers that need to be overcome to realize this vision and concludes with recommended next steps.
Designing Enhanced Supervision for the Evolving Wealth Management Ecosystemaccenture
Converging and rapidly evolving industry trends are creating a new wealth management environment demanding Wealth Managers redefine supervisory governance to best support the firm’s growth strategies while balancing strong risk management. In this new Accenture Finance & Risk presentation we explore the evolving wealth management trends and challenges and outline four key business supervision design questions to support sustainable, long-term growth.
Towards a BIG Data Public Private PartnershipEdward Curry
Building an industrial community around Big Data in Europe is the priority of the BIG: Big Data Public Private Forum project. In this workshop we will present the work of the project including analysis of foundational Big Data research technologies, technology and strategy roadmaps to enable business to understand the potential of Big Data technologies, and the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations. BIG is working towards the definition and implementation of a clear strategy that tackles the necessary efforts in terms of Big Data research and innovation, while also providing a major boost for technology adoption and supporting actions for the successful implementation of the Big Data economy.
General Data Protection Regulation (GDPR) Implications for Canadian Firmsaccenture
The General Data Protection Regulation (GDPR) represents significant challenges for financial institutions to comply with the new data processing and record keeping requirements. This Accenture Finance & Risk presentation explores the impact of GDPR on Canadian firms, including lessons learned from our work with clients and knowledge gained that can be used for an effective GDPR journey.
Am 12. November fand in München die Gründermesse IHK Existenz statt. Hier hielt ich einen Vortrag zum Thema Core Story: Markenbildung mittels Storytelling. Viele interessierte Zuhörer baten mich, die Folien des Vortrags zur Verfügung zu stellen – voilà – hier sind sie.
Gründerstory funktionieren weil ...
Geschichten wurden schon immer gerne aufgenommen. Richtig gute Storys wurden auch schon immer schnell viral verbreitet. Ob Weltreligionen oder Geschichten von besonders erfolgreichen oder bösen Menschen, verbinden, überzeugen oder berühren.
Was bedeutet dies für Markengeschichten?
Gerade, wenn ähnliche Produkte und Leistungen angeboten werden, unterscheiden Käufer außer nach dem Preis und nach dem Bauchgefühl, also welche Marke sympathischer und vertrauenswürdiger erscheint.
Eine Markenstory, oft verbunden mit der Gründerstory, grenzt die Marke von Mitbewerbern ab. In der Markenstory gibt dem Kunden, Partnern und Mitarbeitern die Möglichkeit,
sich emotional mit dem Unternehmen zu identifizieren. gerade auch für Mitarbeitende.
http://story-baukasten.de
Stop the madness - Never doubt the quality of BI again using Data GovernanceMary Levins, PMP
Does this sound familiar? "Are you sure those numbers are right?" "Why are your numbers different than theirs?"
We've all heard it and had that gut wrenching feeling of doubt that comes with uncertainty around the quality of the numbers.
Stop the madness! Presented in Dunwoody on April 18 by industry leading expert Mary Levins who discusseses what it takes to successfully take control of your data using the Data Governance Framework. This framework is proven to improve the quality of your BI solutions.
Mary is the founder of Sierra Creek Consulting
Data governance is a bunch of strategies and practices that ensure high quality through the complete lifecycle of your data. Data Governance is a practical and actionable framework to assist a wide range of data stakeholders across any organization in identifying and meeting their data requirements.
Data governance involves setting up procedures and regulations to enable the smooth sharing, managing, and availability of data.
The idea is to prevent an overlap of resources. When you have data governance procedures you experience faster decision-making processes while moving data from just a company’s by-product to a critical asset within the organization. Check out this and know how to build a strong Governance framework for your organization
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
Presentation to introduce information governance. This should be used in conjunction with the paper I published on my website. A full information governance methodology, with research included from the foremost authorities on data governance.
The Merger is Happening, Now What Do We Do?DATUM LLC
This was presented on October 24, 2018 at the ASUG EIM Conference. One of the many challenges presented by an acquisition and divestiture event is unifying disparate data and integrating systems together. If you are leading an integration, you may have more questions than answers on how to approach this event. Learn how to best leverage the momentum and budgets that accompany these activities to jump start good governance practices up front, as well as how to measure the return on investment, ensuring data and EIM professionals' ongoing success.
This introduction to data governance presentation covers the inter-related DM foundational disciplines (Data Integration / DWH, Business Intelligence and Data Governance). Some of the pitfalls and success factors for data governance.
• IM Foundational Disciplines
• Cross-functional Workflow Exchange
• Key Objectives of the Data Governance Framework
• Components of a Data Governance Framework
• Key Roles in Data Governance
• Data Governance Committee (DGC)
• 4 Data Governance Policy Areas
• 3 Challenges to Implementing Data Governance
• Data Governance Success Factors
how to successfully implement a data analytics solution.pdfbasilmph
The adoption of data analytics in business has demonstrated a transformative power in modern entrepreneurship. By analyzing vast reservoirs of data, businesses can make informed decisions, optimize operations and predict trends, thus fueling growth.
Enterprise Information Management Strategy - a proven approachSam Thomsett
Access a proven approach to Enterprise Information Management Strategy - providing a framework for Digital Transformation - by a leader in Information Management Consulting - Entity Group
The Data Management challenges each organization faces are unique in their priority and severity. Therefore the structure and composition of a Data Organization is one of the major success factors for establishing a successful and sustainable data program. In this presentation, we will review the developmental stages of a data organization, the models and the choices for establishing the right structure to the organization in addition to the process for selecting the team members that will produce high-performance business results.
In your cloud transition, don’t overlook the finance and accounting implications, which influence efforts from risk management and security to regulatory compliance. Reap the full benefits of an enterprisewide cloud deployment by following four strategies that will help you consider the holistic impact of the cloud.
Learn more - http://gt-us.co/1wJulWG
Five Attributes to a Successful Big Data StrategyPerficient, Inc.
The veracity, variety and sheer volume of data is increasing exponentially. With Hadoop and NoSQL solutions becoming commonplace, there are many technical options for managing and extracting value from this data. Many companies create labs to experiment with Big Data solutions, only later become IT playgrounds or unstructured dumping grounds.
To help avoid these pitfalls,companies with successful Big Data projects approach challenges by formulating a strategy that assures real business value is derived from their Big Data investments. In a Perficient poll, 73% of companies stated they are in the early-evaluation stage to find solutions to their Big Data problems and are only beginning to create their strategy.
Join us for a webinar featuring thought-provoking best practices used by successful companies to quickly realize business value from their Big Data investments. You'll learn:
The top five steps to increased business value
What the top companies are doing in Big Data that you need to know
Next steps to lay the ground work for a successful Big Data strategy
presentation given at the ISACA EuroCACS 2015 conference in Copenhagen on why organisations should apply Privacy by Design in their Internet of Everything solutions.
ISACA Reporting relevant IT risks to stakeholdersMarc Vael
A presentation I made for the ISACA Belgium open forum of June 2015 in Brussels on Reporting relevant IT risks to stakeholders. This presentation served as starter for the discussions in the open forum.
A keynote presentation I gave for BELTUG in June 2015 based on ISACA research on cloud computing security and based on experiences in industry with proper references to SMALS, ISACA, ENISA, CSA and NIST
hoe kan u vandaag informatie veiligheid realiseren op een praktische manier?Marc Vael
Een keynote presentatie die ik heb gegeven op een grote IT bijeenkomst in Blankenberge in Maart 2015 rond informatieveiligheid met referenties naar VTC, KSZ en Belgian Cybersecurity Guide
My keynote speech at the ISACA IIA Belgium software watch day in October 2014 in Brussels on the value of big data and data analytics for auditors and other assurance professionals
A presentation I made in June 2014 as starting point for discussions at the ISACA Belgium open forum on mobile payments risks, security and assurance issues.
Presentation I gave in March 2014 on cloud computing with cloud definition & characteristics, cloud ROI, benefits and costs, lessons learned, examples, and 7 enablers.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
7. Big Data
IT leaders will need to figure out
• how to coax order out of the chaos from all those
zeroes and ones
• optimize ROI
• manage data privacy.
8. Big Data—Characteristics
Very large, distributed aggregations of loosely
structured data – often incomplete and inaccessible:
• Petabytes/Exabytes of data,
• Millions/billions of people,
• Billions/trillions of records,
• Loosely-structured and often distributed data,
• Flat schemas with few complex interrelationships,
• Coming from diverse sources, including social
networks, sensor networks, chat sessions, etc.,
• Often involving time-stamped events,
• Often made up of incomplete data,
• Applications that involved big-data either
Transactional or Analytics
10. Big Data—Challenges
• Increasing volume of unstructured data
• Range/variety of data types/sources
• Complexity of individual data types
• Speed/velocity of data
• Providing analytics from a range of data sources
• Cost of managing data
• Data storage
• Security of data
• Data governance, regulatory compliance, risk
management
• Energy/power consumption of data
• Providing business insight from massive amounts of
data
11. Big Data
Within data, a lot of information is stored
= desire to explore data and to use it for the benefit of
both business and customer.
All of this data creates new opportunities to "extract
more value“ for any organisation.
While some of the data can be considered "structured
information", a big part of that information is
unstructured, not following a predefined data model, but
kept in log files, on file servers, in social networks and
many other places and formats.
Unstructured data will grow faster than any other
information source and will therefore become crucial for
any business the coming decades.
.
12. Big Data—Context
Traditional relational databases and business
intelligence platforms have great difficulty coping with
both the growing volume and the unstructured nature of
the data. Producing reports and queries take more time
than business users can afford, while changes to the
structure of the database (to cope with unstructured
information) are a bottleneck for your company's
business agility.
Big Data technologies describe a new generation of
technologies and architectures, designed so
organizations like yours can economically extract value
from very large volumes of a wide variety of data by
enabling high-velocity capture, discovery, and/or
analysis.
13.
14. • Data Analytics—A Practical Approach: organizations should
aim for early success by
• using analytics across many projects for greater insight,
• performing ad hoc analysis to support key areas of risk,
• defining measures of success along the way.
15. • Data governance practices : essential for managing data as an
asset. These practices establish repeatable, measurable
business processes and manageable policies for improving
data quality.
• Data governance helps companies meet regulatory
compliance mandates while improving revenue opportunities
and customer and partner relationships through the power of
higher-quality information.
• Despite the universal acceptance that data governance
practices are worthwhile, businesses have historically
bypassed the discipline in favor of other initiatives that more
directly impact the bottom line or provide an immediate
return on investment (ROI).
16. • The growing requirements for data privacy and security have
altered this landscape for the modern organization.
• Today's commercial businesses are being driven into data
governance action by legislation. Even with these legislative
motivators, data governance is, at best, inconsistent. Most
businesses require a guiding hand to assist them with the best
ways to achieve success.
• Companies are discussing the value of data to their corporate
operations and attempting to gain insight into corporate
performance. However, legislative motivators have created a
tipping point where companies must ensure that they are
protecting consumer privacy preferences and other personal
data.
17. Why Companies Struggle
• Why do companies continue to struggle with this practice
when the proper management of company data will increase
revenue, improve customer and partner relationships and
company operations, and assist with regulatory compliance
issues?
18. Why Companies Struggle
• 1. many businesses are shortsighted because they operate on
a quarter-by-quarter revenue model. In addition, most
publicly traded companies are focused on ensuring strong
short-term stock performance. These objectives conflict with
data governance initiatives, which usually have a less-direct
ROI cycle, and are competing for precious resources with
other corporate programs that promise more immediate
revenue, efficiency or profitability benefits.
19. Why Companies Struggle
• 2. Data governance & sharing data among product groups or
divisions of the same company can be highly political. Often,
business leaders who become territorial about their customer
data are unwilling to share data, even for the betterment of
the greater good. This type of "turf war" happens frequently
and extinguishes an opportunity for the company as a whole
to perform to its best advantage.
20. Why Companies Struggle
• 3. Most businesses that have tried to implement a data
governance practice in their organization have taken the
wrong approach. Some companies have tried assigning the
program to a single individual who ultimately fails because
the job is too big and broad for one person. Still other
organizations have knitted together a coalition of interested
director-level parties, which has resulted in limited success
because this group typically does not have the budget
authority needed for a proper data governance program, nor
the influence to shift corporate priorities. The most successful
initiatives have taken a top-down strategy of appointing an
executive sponsor whose "day job" is to get a full
21. Why Companies Struggle
• 4. many companies feel that to achieve data governance
success, they must take a "boil the ocean" approach. Trying to
tackle all of their data governance issues in one swoop often
becomes overwhelming and requires a time investment of
several years, with costs escalating before any true return is
realized.
22. Big Data—Barriers to facilitate BD project
• Lack of right mindset & culture
• Lack of top management support & sponsorship
• Lack of talent, expertise & experience,
• Cost & availability of training
• Lack of knowledge of big data framework & tool
implementation
• Lack of knowledge of available big data management
• Resources & budget constraints
• Lack of other resources (ICT, fiscal, etc.)
23. Getting It Together
• Effective data governance program includes the people,
processes and policies necessary to create a single, consistent
view of an organization's data. These programs require the
coordination of myriad people across organizational and
political boundaries, all of whom have other "day jobs."
Enlisting senior executives and other employees into a data
governance program requires a corporate priority shift,
usually away from more "gratifying" tactical issue resolution
toward more nebulous and difficult-to-quantify data-quality
initiatives.
24. Getting It Together
• Instead of employing a top-down, "all or nothing" approach,
which requires a complete shift in corporate culture,
businesses are better served with an iterative approach to
data governance. They should choose a smaller data set, such
as customer or product data, and focus their efforts on
investigating and fixing it, then determine what worked and
establish policies that can be used to tackle another data set.
This more cost-effective, iterative approach enables
companies to secure immediate results within months instead
of years, while putting into place the scaffolding needed to
help manage data quality across all systems. An iterative
approach also allows companies to keep an eye on the
25. Getting It Together
• Businesses that combine this bite-size strategy with a strong
team approach to data governance are the most successful.
The most sensible approach = appoint a senior executive as
committee chair who reports directly to CEO and have the
clout to dedicate budget, alter corporate priorities and
eliminate "turf wars." The chair should oversee a board
comprised of other executive leaders who have responsibility
for each of the company's lines of business.
26. Getting It Together
• Effective data governance team should include individuals
representing horizontal functions such as finance, human
resources, IT, accounting and marketing; a group of data
experts including a data owner, data steward, data architect
and data modeler; and a group of data analysts:
‣ Data owner—Establishes policies and owns data quality for one or
more master data domains, such as customer data, product data,
portfolio data and location data
‣ Data steward—Implements and enforces policies and business
rules, and corrects data quality problems including matching
records, replacing bad data with good data and making
"survivorship" decisions if more than one record for the same
27. Getting It Together
• Some basic committee guidelines. Team members should stay
focused on the end result and avoid endless philosophical
disagreements about the meaning of data vs. information, the
exact definition of an entity or attribute, or what type of
representation to use (entity-relationship diagrams or class
diagrams). The program will be much more successful if the
team can deliver something quickly, even though it might not
be 100 percent perfect in its first iteration. The goal of the
team should be to complete each iteration rapidly, learn as
much as possible, employ a "just enough" process to plan and
measure results, make adjustments for the next iteration, and
improve the process with each iteration.
28. Defining Data Governance Processes
• With an iterative approach and the right team in place,
commercial businesses are ready to define their data
governance processes. These processes typically begin with a
business assessment phase and conclude with deployment
and ongoing maintenance:
‣ Business assessment—Articulates various data problems and the
value of improving them. This step maps to high-level business
processes and helps companies prioritize the pain, issues, costs and
value of data. Business assessment results in the definition of the
biggest areas of pain, opportunity and risk, and quantifies the value
of fixing problems.
‣ Data architecture—Explains the "ecosystem" in which data are
29. • Businesses see the value of a data governance initiative, but are
hesitant to begin the process because of concerns about costs
or ROI cycles, should employ an iterative approach that keeps
the scope of the project small and focused on one portion of
business data, such as customer or product information. A
focused approach enables an organization to realize success
quickly, while establishing policies and creating frameworks that
can be applied to other parts of the business in the future.
• A successful data governance initiative also requires a strong
team from various business leadership positions and strong
data resources. Although an incremental approach still requires
system changes and results in integration and architectural
challenges, these organizations have a much greater chance for
success than those that try to "boil the ocean“.
41. Conclusion
Organization’s data are among its most valuable assets. Without a
way to obtain, cleanse, organize and evaluate its data, the
organization is left with a vast, chaotic pool of ones and zeroes.
DA coaxes order from the Big Data chaos: helps explain patterns,
which in turn help the organization identify what it is doing well,
determine how to do it better and recognize problems before they
spiral out of control.
DA results can be used:
• to identify areas of key risk, fraud, errors or misuse;
• to improve business efficiencies;
• to verify process effectiveness;
• to influence business decisions.
42. Conclusion
Maximum benefits from DA can not be achieved for any
organization:
• if DA is not aligned to the business,
• if risk is not managed,
• if the process is not effectively planned, designed, implemented,
tested and governed.
When used effectively, DA can play an integral role in helping an
organization unlock the treasures hidden in its massive stores of Big
Data.
43. Conclusion
“Even with infinite knowledge of past behavior, we often
won’t have enough information to make meaningful
predictions about the future. In fact, the more data we have,
the more false confidence we will have…
The important part is to understand what our limits are and
to use the best possible science to fill in the gaps. All the
data in the world will never achieve that goal for us.”
Peter Fader, codirector of the Wharton Customer
Analytics Initiative at the University of Pennsylvania
and Professor Marketing at Penn’s Wharton School
of Business in MIT’s Technology Review, May 2012
http://www.technologyreview.com/news/427786/is-there-big-money-in-big-data/
47. Contact information
Marc Vael
CISA, CISM, CISSP, CRISC, CGEIT, ITIL Service Manager
Director Knowledge Board
ISACA
3701 Algonquin Road, Suite 1010
Rolling Meadows
IL 60008 USA
http://www.isaca.org/
marc@vael.net
http://www.linkedin.com/in/marcvael
http://twitter.com/marcvael