Many generalised opinions and flawed studies have been published in mainstream media and social networks about which countries have successfully tackled the Sars-CoV-2 pandemic, with little or no scientific evidence.
Thus, we design and publish the BMC' Overall Covid Performance Index OCPI, which aims to highlight the performance of the fight against the pandemic and its impacts across countries.
The BMC' OCPI is based on six indicators related to the COVID-19 pandemic and seven economic variables, all publicly available.
The case study includes twenty-seven European countries. Luxembourg occupies the first place in the overall ranking, closely followed by Denmark, itself ahead of Norway. Finland and Ireland rank first in the Health and Economy sub-indices, respectively.
The study shows that small and wealthy countries are performing better than others. In addition, the richest and wealthiest countries are struggling and lagged at the bottom of the rankings.
Fiscal space and the composition of public finances - Jean-Marc Fournier, OECDOECD Governance
This presentation was made by Jean-Marc Fournier, OECD, at the 9th Annual Meeting of the OECD network of Parliamentary Budget Officials and Independent Fiscal Institutions held in Edinburgh, Scotland, on 6-7 April 2017.
CPI2010 is an aggregate indicator that…
1. Measures the degree to which corruption is perceived to exist among public officials and politicians in 178 countries around the world.
2. Focuses on perceptions and not hard data
3. Draws on 13 different surveys and country assessments from 10 independent institutions carried out among experienced observers, such as business people and country analysts, including local experts.
This compares the 20 richest nations in the degree to which their policies are compassionate. The policies cover child well-being, health, environment, non-violence, integrity, social justice, civil society, and generosity.
Elaborado anualmente pela The Economist Intelligence Unit, ligada à publicação britânica The Economist, o índice mede os níveis de democracia em 167 países e territórios.
Fiscal space and the composition of public finances - Jean-Marc Fournier, OECDOECD Governance
This presentation was made by Jean-Marc Fournier, OECD, at the 9th Annual Meeting of the OECD network of Parliamentary Budget Officials and Independent Fiscal Institutions held in Edinburgh, Scotland, on 6-7 April 2017.
CPI2010 is an aggregate indicator that…
1. Measures the degree to which corruption is perceived to exist among public officials and politicians in 178 countries around the world.
2. Focuses on perceptions and not hard data
3. Draws on 13 different surveys and country assessments from 10 independent institutions carried out among experienced observers, such as business people and country analysts, including local experts.
This compares the 20 richest nations in the degree to which their policies are compassionate. The policies cover child well-being, health, environment, non-violence, integrity, social justice, civil society, and generosity.
Elaborado anualmente pela The Economist Intelligence Unit, ligada à publicação britânica The Economist, o índice mede os níveis de democracia em 167 países e territórios.
People’s well-being has generally progressed since the early 20th century across a large part of the world, according to How Was Life? Global Well-Being since 1820. The study presents for the first time systematic evidence of trends in areas such as health, education, inequality, the environment and personal security over the past 200 years.
Since 2000, the quality of life of Colombians has improved markedly. Macroeconomic and social policies have sustained strong GDP growth and reduced poverty.
This case study aims to build on research into international student migration, specifically to understand the activity and impact they have during their stay. The slides summarise what research is already published on the activity of international students. It illustrates what exploratory research, using linked administrative data sources, can tell us about the interactions international students have with the HMRC PAYE system. The findings from this case study provide important insights which are key to the successful development of a population and migration statistics system based on administrative data sources.
This slide pack illustrates the Office for National Statistics’ (ONS) research into developing an alternative approach to producing administrative data-based population stocks and flows.
This case study sets out early experimental analysis of linked Higher Education Statistics Agency (HESA) and Home Office Exit Checks data, with the aim of understanding what linking HESA and Home Office Exit Checks data can tell us about departure patterns and length of stay of non-EU students at the local authority level. The findings from this case study provide important insights that will be key to the successful development of a population and migration statistics system based on administrative data sources.
Tax policy and its economic and budgetary impacts - Luiz de Mello, OECDOECD Governance
This presentation was made Luiz de Mello, Economics Department, OECD, at the 11th Meeting of OECD PBO & IFIs held in Lisbon, Portugal, on 4-5 February 2019
This case study aims to understand the activity patterns of international migrants in income and benefit data. The slides summarise what research is already published on these activity patterns and illustrate what exploratory research, using linked administrative data sources, can further tell us. The findings from this case study provide important insights which are key to the successful development of a population and migration statistics system based on administrative data sources.
Budgeting for healthcare - Camila Vammalle, OECDOECD Governance
This presentation was made by Camila Vammalle, OECD, at the 11th Annual Meeting of Central, Eastern and South-Eastern Senior Budget Officials (CESEE SBO) held in Warsaw, Poland, on 21-22 May 2015.
Degree of economic_freedom_and_relationship_to_economic_growthAnochi.com.
Freedom is an intrinsic element of the life of every person, yet is often noticed only
in the event that attempts are made at limiting it. It is possible today to select many
areas in which it is more or less consciously diminished. One of these is the field of
economic freedom, which may be reduced through bureaucracy for example, as well as
through various forms of concession. The means of preventing this particular
weakening of the development of an economy may be a gradual liberalization of it.
Individuals aspire to gain happiness through the fulfillment of their needs, assistance
in which may be provided by an increase in income. Economic growth triggers an
increase in the income of individuals, but is also equated with an increase in access to
such goods as better medical care or education. On account of this it becomes vital to
investigate the influence of the liberalization of an economy on economic growth
Predictive analysis WHO's life expectancy dataset using Tableau data visualis...Tarun Swarup
Performed predictive analysis on global Life expectancy dataset (WHO) to analyze the vital factors affecting human health and other societal risks demographically.
Designed a visual dashboard to identify intrinsic patterns in different factors and extract valuable insights to predict life expectancy accordingly.
▪ Infant Death Rate almost reduced by 40% in the last two decades.
▪ Overall adult mortality rate turned down by almost 17% in the previous years.
People’s well-being has generally progressed since the early 20th century across a large part of the world, according to How Was Life? Global Well-Being since 1820. The study presents for the first time systematic evidence of trends in areas such as health, education, inequality, the environment and personal security over the past 200 years.
Since 2000, the quality of life of Colombians has improved markedly. Macroeconomic and social policies have sustained strong GDP growth and reduced poverty.
This case study aims to build on research into international student migration, specifically to understand the activity and impact they have during their stay. The slides summarise what research is already published on the activity of international students. It illustrates what exploratory research, using linked administrative data sources, can tell us about the interactions international students have with the HMRC PAYE system. The findings from this case study provide important insights which are key to the successful development of a population and migration statistics system based on administrative data sources.
This slide pack illustrates the Office for National Statistics’ (ONS) research into developing an alternative approach to producing administrative data-based population stocks and flows.
This case study sets out early experimental analysis of linked Higher Education Statistics Agency (HESA) and Home Office Exit Checks data, with the aim of understanding what linking HESA and Home Office Exit Checks data can tell us about departure patterns and length of stay of non-EU students at the local authority level. The findings from this case study provide important insights that will be key to the successful development of a population and migration statistics system based on administrative data sources.
Tax policy and its economic and budgetary impacts - Luiz de Mello, OECDOECD Governance
This presentation was made Luiz de Mello, Economics Department, OECD, at the 11th Meeting of OECD PBO & IFIs held in Lisbon, Portugal, on 4-5 February 2019
This case study aims to understand the activity patterns of international migrants in income and benefit data. The slides summarise what research is already published on these activity patterns and illustrate what exploratory research, using linked administrative data sources, can further tell us. The findings from this case study provide important insights which are key to the successful development of a population and migration statistics system based on administrative data sources.
Budgeting for healthcare - Camila Vammalle, OECDOECD Governance
This presentation was made by Camila Vammalle, OECD, at the 11th Annual Meeting of Central, Eastern and South-Eastern Senior Budget Officials (CESEE SBO) held in Warsaw, Poland, on 21-22 May 2015.
Degree of economic_freedom_and_relationship_to_economic_growthAnochi.com.
Freedom is an intrinsic element of the life of every person, yet is often noticed only
in the event that attempts are made at limiting it. It is possible today to select many
areas in which it is more or less consciously diminished. One of these is the field of
economic freedom, which may be reduced through bureaucracy for example, as well as
through various forms of concession. The means of preventing this particular
weakening of the development of an economy may be a gradual liberalization of it.
Individuals aspire to gain happiness through the fulfillment of their needs, assistance
in which may be provided by an increase in income. Economic growth triggers an
increase in the income of individuals, but is also equated with an increase in access to
such goods as better medical care or education. On account of this it becomes vital to
investigate the influence of the liberalization of an economy on economic growth
Predictive analysis WHO's life expectancy dataset using Tableau data visualis...Tarun Swarup
Performed predictive analysis on global Life expectancy dataset (WHO) to analyze the vital factors affecting human health and other societal risks demographically.
Designed a visual dashboard to identify intrinsic patterns in different factors and extract valuable insights to predict life expectancy accordingly.
▪ Infant Death Rate almost reduced by 40% in the last two decades.
▪ Overall adult mortality rate turned down by almost 17% in the previous years.
A selection of key indicators from "Health at a Glance 2019: OECD Indicators", released on November 7, 2019. More info at http://www.oecd.org/health/health-at-a-glance.htm.
While growth has picked up, more needs to be done for Japan to overcome two key challenges – a record high government debt ratio and an accelerating decline in its working-age
population.
The research of Warwick McKibbin (Australian National University, The Brookings Institution, Centre of Excellence in Population Ageing Research) and Roshen Fernando (Australian National University, Centre of Excellence in Population Ageing Research (CEPAR))
CAMA: The global macroeconomic impacts of COVID-19: Seven scenarios (results)TatianaApostolovich
The research of Warwick McKibbin (Australian National University, The Brookings Institution, Centre of Excellence in Population Ageing Research) and Roshen Fernando (Australian National University, Centre of Excellence in Population Ageing Research (CEPAR))
Namibia 2012-13 Health Accounts: Key Findings and Policy ImplicationsHFG Project
Resource Type: Brochure
Authors: Ministry of Health and Social Services, Republic of Namibia
Published: June 30, 2015
Resource Description:
The current exercise (fiscal year 2012/13) is Namibia’s fourth round of Health Accounts and is the first round conducted using the SHA 2011 methodology; the prior three rounds covered 11 years of spending between 1998/99 and 2008/09. These prior rounds have been critical to informing the design and review of the country’s Health Sector Strategic Plan. Health Accounts estimates of spending in priority areas such as reproductive health have informed resource allocation discussions. Further, combined with information from other sources regarding the geographic distribution of health resources, Health Accounts estimates have helped the Ministry of Health and Social Services develop a resource allocation formula that is currently under review for implementation.
This brochure presents health expenditure data by households, public and private institutions for the 2012/13 fiscal year.
As the UN High-level Political Forum (HLPF) session discusses progress in the SDGs, Eurostat releases its report on progress towards the SDGs in the EU.
Unleashing Potential in the Age of Digital Transformation for Thriving Organi...Mohamed Bouanane
In the age of AI and today's fast-paced interconnected world and rapidly evolving business landscape, digital transformation is no longer a choice but a strategic imperative for organizations seeking to stay ahead of the competition.
Indeed, organizations face increasing pressure to adapt and harness the power of data, analytics, and digital transformation to be the most effective. With the advent of artificial intelligence (AI), the potential for enhancing operational efficiency, boosting productivity, and delighting customers and citizens has never been greater. Yet, many business and public leaders grapple with understanding where to start and how to measure the impact of these cutting-edge technologies.
Our comprehensive article, "Unleashing Potential: Levelling-up, Data Governance and Generative AI" combines five essential themes to provide a complete guide for organizations seeking to tap into their latent potential and excel in the age of data and AI.
This article explores the alchemy between digital transformation, data governance and intelligence, and the adoption of AI to reinvent organizations, deliver innovative services and create value for all, understanding the subtleties of these converging forces.
Libérer le Potentiel à l'Ère de la Transformation Numérique pour des Organisa...Mohamed Bouanane
À l'ère de l'Intelligence Artificielle (IA) et dans le monde interconnecté et à l'évolution hyperrapide d'aujourd'hui, la transformation numérique n'est plus un choix mais un impératif stratégique pour les organisations qui cherchent à devancer la concurrence ou à rendre des services à forte valeur ajoutée pour leurs clients ou leurs administrés.
En effet, les organisations sont de plus en plus sous pression pour s'adapter et exploiter la puissance des données, de l'analytique et de la transformation numérique afin d’améliorer leur efficacité au quotidien. Avec l'avènement de IA, le potentiel d'amélioration de l'efficacité opérationnelle, d'augmentation de la productivité et de satisfaction des clients et citoyens est plus grand que jamais. Pourtant, de nombreux dirigeants d'entreprises et du secteur public peinent à comprendre par où commencer et comment mesurer l'impact de ces technologies de pointe.
En somme, cet essai explore l’alchimie entre la transformation numérique, la gouvernance et l’intelligence des données, et l’adoption de l’IA pour réinventer les organisations, fournir des services innovants et créer de la valeur pour tous, en comprenant les subtilités de ces forces convergentes.
Covid-19 Data driven regional comparison in France - v210128Mohamed Bouanane
The study investigates how mortality due to Covid-19 vary according to the territories and the effect of age-categories in France, based on a composite index combining two dimensions (ratios and growth rates) and four indicators (hospatilisations, admissions to ICU, mortality and infections).
We calculate the ratios (hospitalization, ICU admission, and Sars-Cov-2 infection) along with its average composite growth rate, by applying age-specific data to the population of each region.
The obtained results – significant variability – suggest that the elderly population has unequal chance facing the Covid-19 across the regions, although the progression of the disease has followed almost the same trend everywhere for all age-categories during the analysed periods (01-07 and 15-21 January).
Data driven comparison of the covid-19 progression in france - v201231Mohamed Bouanane
This study has showed that the hypothesis of the development of herd immunity is real and would be more important in the territories that were most severely affected in the first wave.
Globally, a slower progression of the Covid-19 in terms of hospitalizations, intensive care admissions and mortality during the second wave. This slow progression is believed to be due to several factors such as improved hospital treatment protocols which could have contributed to the reduction in mortality, or the possible decrease in the virulence of new strains of the SARS-Cov-2 virus.
The BMC_DEISI is a composite index that aggregates a large number of published indicators reflecting various key factors of the information society and digital economy. Such factors should be exhaustive and hence capture different aspects such as inputs (drivers), enablers (regulation and business environment), outcomes and outputs (performance), and impacts.
The conceptual framework is composed of five sub-indices with their sub-pillars: Human Capital; ICT Readiness; Governance; ICT Adoption and Usage; and Economic & Social Impact. It includes 58 indicators, two of them are indices, to populate the 5 pillars and 10 sub-pillars.
Data driven forecast of the covid-19 death toll v3Mohamed Bouanane
An estimation of the average, minimum and maximum ultimate death toll is given along with a predicted date. The expected ultimate death toll is estimated based on both forms of Hubbert equation, i.e. the Parabola and the Linearization (where appropriate), while the predicted date is determined based on a data forecast using the composite growth rate function (geometric sequence).
An estimation of the average, minimum and maximum ultimate death toll is given along with a predicted date. The expected ultimate death toll is estimated based on both forms of Hubbert equation, i.e. the Parabola and the Linearization (where appropriate), while the predicted date is determined based on a data forecast using the composite growth rate function (geometric sequence).
An estimation of the average, minimum and maximum ultimate death toll is given along with a predicted date. The expected ultimate death toll is estimated based on both forms of Hubbert equation, i.e. the Parabola and the Linearization (where appropriate), while the predicted date is determined based on a data forecast using the composite growth rate function (geometric sequence).
يعتبر نظام التعليم عامل أساسي والمحفّز الرئيسي لتوفير
الرأس المال البشري الكفئ لجميع القطاعات. فيُعدُّ إنشاء
منظومة تربوية عصرية وكفئة وفعّالة، أمرا ضروريا
وحيويا لتطوير التنمية الاجتماعية، وتحسين آفاق النمو
وفرص العمل في البلاد، وتعزيز القدرة التنافسية للاقتصاد
الوطني، وتعميم الرفاه للمواطنين. وبالتالي فإن تنمية
الموارد البشرية – من خلال التعليم والتكوين والتدريب
طوال الحياة المهنية – هي الأساس لكلّ تطوّر اجتماعي
وتنمية اقتصادية وبناء مجتمع المعرقة. إذ يجب أن تكون
القوى العاملة مؤهلة ومن ذوي المهارات والكفاءات العالية
والملائمة لمتطلبات سوق الشغل. وينبغي أن تكون أيضا
فعّالة ومبدعة وقادرة على المنافسة بنجاح في اقتصاد
المعرفة العالمي.
فمن بين أهداف إصلاح المنظومة التربوية والتعليمية –
الذي يجب أن يشمل جميع المستويات وأن يكون في علاقة
مع الأولويات الاجتماعية والاقتصادية – المساهمة الفعّالة لا
فحسب في تشكيل المعارف، بل أيضا وخاصة في تكوين
المواطنين ذوي التفكير التحليلي والنقدي لمجابهة التطرف
والأطروحات الرجعية، ونبذ العنف، ومكافحة التجنيد لصالح
الثقافات الظلامية.
Strategy for a sustainable digital economy - ArabicMohamed Bouanane
يشير الاقتصاد الرقمي للأنشطة الاقتصادية والاجتماعية والثقافية التي تعتمد على البنية التحتية الرقمية، والممكَّنة من قبل تقنيات الإعلامية لإنشاء وتوزيع المنتجات والخدمات ذات القيمة المضافة على شبكة الإنترنت. وبالتالي، تُعدّ الملكية الفكرية ومهارات القوى العاملة الموارد الرئيسية في الاقتصاد الرقمي. فيجب على الاستراتيجية والسياسات المرافقة ذات الصلة بالاقتصاد الرقمي أن تأخذ في الاعتبار جميع هذه المكونات بطريقة متقاربة. إذ لا يمكن أن يحقق الاقتصاد الرقمي والمعرفي أية نتائج من دون بنية أساسية تكنولوجية ذات مستوى عال من التطور. وكما ينبغي تتطوير الأعمال الإلكترونية (e-business) لإنتاج السلع والتي ترتكز أساسا على الخدمات والمعلومات. ونركز في هذا السياق على بعض المجالات التي تمثل العمود الفقري لقطاع الأعمال الإلكترونية في الاقتصاد الرقمي، مثل المعاملات الحكومية، والصحة، والتعلّم، والتجارة، والمحتوى الرقمي.
Next Generation National Broadband Network development - A ppp for an open ac...Mohamed Bouanane
As many countries seek to introduce greater competition there may be valuable lessons to be drawn from applying open access policies to next generation broadband infrastructure with partial public ownership or financed by utilities (e.g. backbone fibre associated with transport or electricity grids). Therefore, governments and regulators need to consider such policies – especially where there is insufficient competition – along with a public-private partnership to enhance capacity; speed, QoS and decrease costs so that the entire economy can continue to fully leverage its potential.
Le monde arabe dans l’économie mondiale du savoirMohamed Bouanane
Le salut des pays arabes passe certainement par le développement du savoir et de l'intelligence. Pour réussir, il faut impérativement de la volonté, une vision ambitieuse et des objectifs réalistes et atteignables, ainsi que la participation et la persévérance des citoyens. Cela devrait se traduire pour chaque pays par la mise en œuvre d’une stratégie unifiée et d’une planification convergente qui prennent en compte ses forces et ses faiblesses selon une approche holistique et globale. Cette stratégie doit chercher à exploiter les effets synergiques combinatoires d'un grand nombre de secteurs économiques qui coopèrent ensemble en harmonie pour créer les conditions de décollage d'une croissance durable à forte valeur ajoutée et formatrice d'une prospérité équitable. Il est également urgent d’améliorer la qualité des résultats du système éducatif et donc la qualité de la formation des enseignants.
IKE - Index of Knowledge Economy and Maturity ModelMohamed Bouanane
While many existing Information and Knowledge Society indices focus exclusively on technology, a comprehensive composite index across all areas and taking into account the key factors has not been exhaustively defined. Developing a comprehensive index, from scratch, to measure the knowledge economy maturity and its impact on the whole society is a complex task. The adopted approach aggregates a large number of known indicators reflecting various key factors of the society and economy and regularly published by different international organizations.
This approach aims to avoid creating new indicators that might be difficult to collect, assess and to maintain, and will ensure data comparability across countries. The indicators should be exhaustive and hence capture different aspects such as inputs (drivers), enablers (business environment) and outputs (performance). Moreover, a sensitivity analysis is conducted to select the most appropriate weights for the sub-indices.
The education system is the main enabler providing knowledgeable human capital for all the sectors. A modern, effective and efficient educational system is vital to the society which fosters economic competitiveness, social development, and citizens’ well-being while also enhancing the country’s growth and employment prospects.
Therefore, the development of the human capital, skills and qualified labor force – through education and long life training – are the foundation of well positioned knowledge-based economy.
The workforce has to be highly skilled to fit the labor market requirements and be efficient and innovative in work. Graduates should be able to successfully compete in a globalized knowledge economy.
Embarking on a journey into the global knowledge economy Mohamed Bouanane
Current trends, whilst important to observe, by no means define a universal destiny for all countries. It is evident from the benchmark study that the information society is on the tipping-point – knowledge is becoming as ubiquitous as data and information has become today. It is unsafe to follow an existing policy, even good policy, because there is no universal destiny for all countries; rather build a unified and convergent strategy that takes into account the country’s own strengthens and weaknesses and seeks to exploit the synergistic combinatorial effects of many sectors working together in harmony to achieve growth and well-being for all citizens. Though far from a universal destination for all countries; the zenith of current holistic thinking is best portrayed by South Korea, it represents the ultimate target to emulate (not to copy) and exceed.
Most countries are seeking to position themselves in the predicted future global knowledge economy. Are they going about it the (same) right way? Are they all trying to win the same race? If so surely the majority of countries will be disappointed since only few countries will be in the top of ranking.
يُعتبر اقتصاد المعرفة مرحلة معينة من مراحل التنمية الاقتصادية، تعتمد على الأصول غير المادية، والقوى البشرية، والأنشطة المتعلقة بالتعليم، والعلوم والبحث، والابتكار، حيث يتم قياس الثروة الناتجة عن ذلك من خلال مدى إسهام هذه الأنشطة في الناتج القومي الإجمالي. وبطريقة مبسطة وذات معنى يمكننا أن نلخص ما سبق بما يلي: اقتصاد المعرفة هو الجمع بين التكنولوجيا والموارد البشرية ذوي المهارات العالية لإنتاج السلع والخدمات، وبالتالي تحقيق الرفاه.
أظهرت الدراسة المقارنة أن عديد الأمم، من جميع أنواع الهويات الثقافية والتوجهات السياسية، قد شرعت في رحلة إلى المستقبل وضمن العولمة – مستقبل يتعين تحديده بدرجة عالية من الدقة بالنسبة لكل بلد. فماذا وكيف ستكون نهاية الرحلة (إذا كان حقا هناك نهاية) للعالم العربي والاسلامي، أو كم سيتطلب المسار من تعديلات للوصول إلى مكانة مريحة ضمن الأمم؟
وسوف يكون النجاح من نصيب الدول التي تتبني استراتيجية شاملة ومتكاملة، تتمحور حول رؤية موحدة، حيث تمثل السياسات الوطنية الأدوات التي تحتاجها هذه الدول لصياغة المستقبل، وحيث يكون الناتج النهائي أكبر من مجموع أجزائه – (طرح) اقتراح قيم (مقترح ذو قيمة) وحقيقي لمجتمع المعرفة بأكمله.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Overall Covid Performance Index - Case study for European countries v210206
1. BMC’ Overall Covid
Performance Index: A
case study for
European countries
Many generalised opinions and flawed studies have been published in
mainstream media and social networks about which countries have
successfully tackled the Sars-CoV-2 pandemic, with little or no scientific
evidence.
Thus, we design and publish the BMC' Overall Covid Performance Index
OCPI, which aims to highlight the performance of the fight against the
pandemic and its impacts across countries.
The BMC' OCPI is based on six indicators related to the COVID-19
pandemic and seven economic variables, all publicly available.
The case study includes twenty-seven European countries.
Luxembourg occupies the first place in the overall ranking, closely
followed by Denmark, itself ahead of Norway. Finland and Ireland rank
first in the Health and Economy sub-indices, respectively.
The study shows that small and wealthy countries are performing
better than others. In addition, the richest and wealthiest countries are
struggling and lagged at the bottom of the rankings:
Only six (46%) among the 13 wealthiest countries (as per GDP per
capita) are doing relatively well overall.
Only four (31%) among the 13 richest countries (as per GDP) are
doing relatively well overall.
The performance trophy, in this study, was awarded to Cyprus - a small
but not rich country - which was the surprise of the overall ranking (7th
out of 27).
M. Bouanane – Consulting
Director | February 2021
2. BMC’ Overall Covid Performance Index
M. Bouanane 2 / 7
Many generalised opinions and flawed studies have been published in mainstream media and social
networks about which countries have successfully tackled the Sars-CoV-2 pandemic, with little or no
scientific evidence.
Thus, we design and publish the BMC' Overall Covid Performance Index OCPI, which aims to highlight the
performance of the fight against the pandemic and its impacts across countries.
Methodology
To assess the relative effectiveness of the policies implemented by different countries, the BMC' OCPI was
built based on six indicators related to the COVID-19 pandemic and publicly available.
The selection of indicators-variables is based on the relevance, comparability, and consistency across
countries. Unlike other published indexes, we do not use the ranking (an average of the rankings across the
selected indicators) across countries as a normalization method. Indeed, such method is too simplistic and
does not enable to evaluate the difference between performances across countries in absolute terms due
to the loss of information. In addition, mixing absolute - aggregate values and ratios per capita within the
index does not plead for the coherence and quality of the result.
We only used ratio values – per capita terms – of the following indicators related to Covid-19:
New cases Daily number of newly infected patients (per million population)
Total deaths Cumulative number of patients who died with a Covid-19 diagnosis (per million
population)
New deaths Daily number of patients who died with a Covid-19 diagnosis (per million
population)
ICU patients Daily number of patients currently in intensive care unit (ICU) with a Covid-19
diagnosis (per million population)
Hosp patients Daily number of patients currently hospitalized with a Covid-19 diagnosis (per
million population)
Total vaccinations Cumulative number of vaccinations (per hundred population)
For daily indicators, we have used seven-days average to smooth the figures.
We estimate that it is not enough to track indicators only related to the pandemic. It is therefore necessary
to assess the economic consequences of the health situation in order to better assess the overall
performance in terms of the effectiveness of public policies. Thus, we have selected five other economic
and social indicators, as follows:
Gross domestic product growth
Deficit / surplus as percentage of GDP
Inflation annual rate
Government consolidated debt as %GDP
Government consolidated debt change (compared to previous year 2019)
Unemployment rate
Total employment change (compared to previous year 2019)
3. BMC’ Overall Covid Performance Index
M. Bouanane 3 / 7
Normalization, Weighting and Aggregation
Only countries with no more than two missing data per pillar are included in the BMC’ OPCI, and missing
values are not considered in the computation of scores.
The indicators’ values are normalized to transform the values of each data into the same unit of
measurement and make them comparable for data aggregation. The BMC’ OPCI follows the Min-Max
normalization method so that all values fall into the [0; 1] range, with higher scores representing better
outcomes and lower scores imply worse outcomes.
We build a sub-index for each pillar – health and economy. Weighting, indicators and sub-indices, reflects
the level of variability of the scores across countries. The lower the dispersion of the scores, the higher the
weight. Each sub-index is then calculated as an arithmetic mean of the weighted normalised indicators’
values.
The aggregation of the sub-indices develops a composite index using a geometric method, i.e., the
multiplication of weighted sub-indices’ scores1
.
Case Study for European Countries
Twenty-seven European countries have been selected for the case study based on their data availability for
both dimensions – Health and Economy. The study uses publicly available data for both dimensions –
Health2
and Economy3
.
The GDP growth, inflation and unemployment data are reported for the whole 2020 year. While the other
economic variables are only available for the first nine months of 2020, as per 4th of February.
For this study, we define the Richest country as per the Gross domestic product, the Wealthiest as per the
GDP per capita and the smallest as per its population relatively to the median value for each variable.
Health Pillar
The Top-6 ranking of the Health sub-index (Table #1) is composed of countries among the smallest and
wealthiest. Except for Greece, which is neither small nor wealthy, and Cyprus, ranked 5th, which is not
among the wealthiest countries in the list.
Finland, Norway, and Greece respectively form the super-performers trio.
Economy Pillar
Again, the Top-6 ranking of the Economy pillar (Table #2) is composed of countries among the smallest and
wealthiest in the list. Except for Netherlands (5th) and Sweden (6th), that are not among the smallest
countries, and Bulgaria (4th) which is not among the wealthiest countries in the list.
Ireland, Luxembourg, and Denmark respectively form the super-performers trio.
1
For more details on building composite index, refer to the BMC_DEISI index.
2
Our World in Data series (as per 4th February), by the University of Oxford and the non-for-profit Global Change Data
Lab.
3
Eurostat (for economic and population data - 2020) and United Nations (for missing population data - 2019).
4. BMC’ Overall Covid Performance Index
M. Bouanane 4 / 7
Overall Ranking
Luxembourg occupies the first place in the overall ranking, closely followed by Denmark, itself ahead of
Norway.
The BMC' OCPI shows that the smallest and wealthiest countries are the best performers in the list of
selected countries and occupy the Top-7 ranking. Except for the Netherlands, ranked 6th, which is not
among the smallest countries and Cyprus, ranked 7th, which is not among the wealthiest countries in the
list.
Conclusion
The BMC’ OCPI shows the relative performance and efficacy of the selected countries. It helps drawing out
the following results.
Small and wealthy countries are performing better than others. In addition, the richest and wealthiest
countries are struggling and lagged at the bottom of the rankings.
Only six (46%) among the 13 wealthiest countries (as per GDP per capita) are doing relatively well overall:
Seven countries over the 13 wealthiest (61%) countries are not ranked in the Economic’ Top-7;
Nine countries over the 13 wealthiest (69%) countries are not ranked in the Health’ Top-7;
Seven countries over the 13 wealthiest (54%) countries are not ranked in the Overall Top-7.
Only four (31%) among the 13 richest countries (as per GDP) are doing relatively well overall:
Eight countries over the 13 wealthiest (54%) countries are not ranked in the Economic’ Top-7;
Eleven countries over the 13 wealthiest (85%) countries are not ranked in the Health’ Top-7;
Nine countries over the 13 wealthiest (69%) countries are not ranked in the Overall Top-7.
The performance trophy, in this study, was awarded to Cyprus - a small but not rich country - which was
the surprise of the overall ranking (7th out of 27).
The BMC’ OPCI index may be enriched by integrating other economic indicators such as the health
expenditure per capita and as percentage of the GDP, to better assess the cost-effectiveness of the health
system, while facing a pandemic crisis.