This Power BI dashboard provides a comprehensive view of the COVID-19 pandemic, leveraging data from worldometers coronavirus data.The dashboard offers interactive visualizations of key metrics like confirmed cases, deaths, recoveries, and vaccination rates. Users can explore trends over time, compare statistics across different countries, and filter data by specific regions or date ranges. This dashboard is a valuable tool for anyone interested in tracking the global COVID-19 situation, including researchers, policymakers, and the general public.

Embark on a journey of COVID-19 data analysis with this meticulously crafted Kaggle database, sourced from the trusted Worldometers website (https://www.worldometers.info/coronavirus/). In this solo project, I've taken on the task of uploading, cleaning, and preparing the data to ensure it meets the highest standards of quality and readability for visualization.

Key Features:

1. Self-Sourced Data: As a solo project, I've personally gathered and maintained the COVID-19 data from Worldometers. This dataset is a testament to my dedication to delivering accurate and up-to-date information on the global pandemic.

2. Data Cleaning with Power Query: Leveraging the power of Power Query, I've meticulously cleaned and structured the data. Addressing issues such as missing values, data inconsistencies, and numerical formatting, I've taken extra care to enhance data reliability.

3. Data Quality Assurance: Ensuring data integrity is paramount. I've conducted rigorous quality checks to guarantee the dataset's accuracy and reliability. This dataset is a reflection of my commitment to providing trustworthy data.

4. User-Friendly Visualization: Recognizing the importance of visualizing data, I've formatted the dataset for easy visualization. It's primed for creating informative charts, graphs, and dashboards. The structured data simplifies the process, making it accessible even for solo analysts.

5. Comprehensive COVID-19 Insights: Covering various facets of the pandemic, including daily new cases, deaths, recovered cases, total cases, and more, this dataset serves as a valuable resource for tracking global and regional trends.

6. Frequent Updates: In my solo endeavor, I aim to keep this dataset regularly updated to reflect the latest pandemic developments. You can trust this dataset as a reliable source for your ongoing research and analysis.

According to Cognitive Market Research, the global Business Intelligence market size is USD 16.9 million in 2023 and will expand at a compound annual growth rate (CAGR) of 9.50% from 2023 to 2030.

The demand for Business Intelligence s is rising due to the increasing data complexity and rising focus on data-driven decision-making.
Demand for adults remains higher in the Business Intelligence market.
The Business intelligence platform category held the highest Business intelligence market revenue share in 2023.
North American Business Intelligence will continue to lead, whereas the Asia-Pacific Business Intelligence market will experience the most substantial growth until 2030.

Growing Emphasis on Data-Driven Decision-Making to Provide Viable Market Output

In the Business Intelligence Tools market, the increasing recognition of the strategic importance of data-driven decision-making serves as a primary driver. Organizations across various industries are realizing the transformative power of insights derived from BI tools. As the volume of data generated continues to soar, businesses seek sophisticated tools that can efficiently analyze and interpret this information. The ability of BI tools to convert raw data into actionable insights empowers decision-makers to formulate informed strategies, enhance operational efficiency, and gain a competitive edge in a data-centric business landscape.

In June 2020, SAS and Microsoft established a comprehensive technology and go-to-market strategic alliance. As part of the collaboration, SAS's industry solutions and analytical products will be moved to Microsoft Azure, SAS Cloud's preferred cloud provider.

Source-news.microsoft.com/2020/06/15/sas-and-microsoft-partner-to-further-shape-the-future-of-analytics-and-ai/#:~:text=and%20SAS%20today%20announced%20an,from%20their%20digital%20transformation%20initiatives.

Rise in Adoption of Advanced Analytics and Artificial Intelligence to Propel Market Growth

Another significant driver in the Business Intelligence Tools market is the escalating adoption of advanced analytics and artificial intelligence (AI) capabilities. Modern BI tools are incorporating AI-driven functionalities such as machine learning algorithms, natural language processing, and predictive analytics. These technologies enable users to uncover deeper insights, identify patterns, and predict future trends. The integration of AI not only enhances the analytical capabilities of BI tools but also automates processes, reducing manual efforts and improving the overall efficiency of data analysis. This trend aligns with the industry's pursuit of more intelligent and automated BI solutions to derive maximum value from data assets.

In March 2020, IBM created a new, dynamic global dashboard to display the global spread of COVID-19 with the assistance of IBM Cognos Analytics. The World Health Organization (WHO) and state and municipal governments provide the COVID-19 data displayed in this dashboard.

Source-www.ibm.com/blog/creating-trusted-covid-19-data-for-communities/

Market Dynamics of the Business Intelligence tool Market

Key Drivers for Business Intelligence tool Market

Increasing Demand for Data-Driven Decision Making Across Various Sectors: As companies produce vast amounts of data, there is an escalating requirement for tools that can analyze and convert raw data into actionable insights. Business Intelligence (BI) tools facilitate quicker and more precise strategic decisions in areas such as sales, finance, operations, and customer service.

Transition to Cloud-Based BI Solutions for Enhanced Scalability and Accessibility: Organizations are progressively shifting from on-premise BI systems to cloud-based solutions, which provide real-time access, foster collaboration, and reduce infrastructure expenses. This transition enhances scalability and accommodates hybrid or remote work settings.

Incorporation of AI and Machine Learning for Enhanced Predictive Analytics: Sophisticated BI tools are incorporating artificial intelligence and machine learning technologies to deliver predictive forecasting, anomaly detection, and natural language querying—thereby improving the accuracy of business forecasts and enhancing user accessibility.

Key Restraints for Business Intelligence tool Market

High Initial Setup and Customization Costs for SMEs: Small and medium-sized...

This statistical release makes available the most recent Improving Access to Psychological Therapies (IAPT) monthly data, including activity, waiting times, and outcomes such as recovery. IAPT is run by the NHS in England and offers NICE-approved therapies for treating people with depression or anxiety. This release also includes experimental statistics from the IAPT integrated health pilot and the IAPT Employment Adviser pilot. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report. COVID-19 and the production of statistics Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets including IAPT. We are also starting to see some different patterns in the submitted data. For IAPT, there is a significant change in the rates for recovery and improvement compared to the last 12 months. Therefore, data should be interpreted with care over the COVID-19 period. For the duration of the COVID-19 period, we are now doing some early reporting to help with monitoring of any impact using provisional IAPT data. As part of the IAPT Version 2.0 changes, we are reviewing our publication outputs and looking to redesign our Power BI Dashboards. If you would like to provide input into the redesign and provide any feedback before the new dashboards go live, please contact us via email: mh.analysis@nhs.net

This statistical release makes available the most recent Improving Access to Psychological Therapies (IAPT) monthly data, including activity, waiting times, and outcomes such as recovery. IAPT is run by the NHS in England and offers NICE-approved therapies for treating people with depression or anxiety. This release also includes experimental statistics from the IAPT integrated health pilot and the IAPT Employment Adviser pilot. A number of changes to NHS organisations were made operationally effective from 1 April 2020. These changes included: 74 former Clinical Commissioning Groups (CCGs) merging to form 18 new CCGs; alterations to commissioning hubs; provider mergers; and the incorporation of Sustainability and Transformation Partnerships (STPs) into the NHS commissioning hierarchy. The Organisation Data Service (ODS) is responsible for publishing organisation and practitioner codes, along with related national policies and standards. A series of ODS data amendments are required to support the introduction of these changes. This would normally result in a number of organisations becoming ‘legally’ closed including the 74 former CCGs. However, to minimise any burden to the NHS during the COVID-19 pandemic and remove any non-critical activity, these organisations remain open within ODS data. ODS aim to both legally and operationally close predecessor organisations involved in April 2020 Reconfiguration on 30 September 2020. COVID-19 and the production of statistics Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets including IAPT. We are also starting to see some different patterns in the submitted data. For IAPT, whilst the number of submitters remains unchanged, there is a significant change in the rates for recovery and improvement for this month compared to the last 12 months. Therefore, data should be interpreted with care over the COVID-19 period. For the duration of the COVID-19 period, we are now doing some early reporting to help with monitoring of any impact using provisional IAPT data. A link to this is available in the Related links below. As part of the IAPT Version 2.0 changes, we are reviewing our publication outputs and looking to redesign our Power BI Dashboards. If you would like to provide input into the redesign and provide any feedback before the new dashboards go live, please contact us via email: mh.analysis@nhs.net We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report.

This statistical release makes available the most recent Improving Access to Psychological Therapies (IAPT) monthly data, including activity, waiting times, and outcomes such as recovery. IAPT is run by the NHS in England and offers NICE-approved therapies for treating people with depression or anxiety. This release also includes experimental statistics from the IAPT integrated health pilot and the IAPT Employment Adviser pilot. A number of changes to NHS organisations were made operationally effective from 1 April 2020. These changes included: 74 former Clinical Commissioning Groups (CCGs) merging to form 18 new CCGs; alterations to commissioning hubs; provider mergers; and the incorporation of Sustainability and Transformation Partnerships (STPs) into the NHS commissioning hierarchy. The Organisation Data Service (ODS) is responsible for publishing organisation and practitioner codes, along with related national policies and standards. A series of ODS data amendments are required to support the introduction of these changes. This would normally result in a number of organisations becoming ‘legally’ closed including the 74 former CCGs. However, to minimise any burden to the NHS during the COVID-19 pandemic and remove any non-critical activity, these organisations remain open within ODS data. ODS aim to both legally and operationally close predecessor organisations involved in April 2020 Reconfiguration on 30 September 2020. 20 October 2020 – Please note this publication has been updated to only report data recorded against current organisations. Activity recorded against former CCGs is now available under the new CCG. COVID-19 and the production of statistics Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets including IAPT. We are also starting to see some different patterns in the submitted data. For IAPT, whilst the number of submitters remains unchanged, there is a significant change in the rates for recovery and improvement for this month compared to the last 12 months. Therefore, data should be interpreted with care over the COVID-19 period. For the duration of the COVID-19 period, we are now doing some early reporting to help with monitoring of any impact using provisional IAPT data. A link to this is available in the Related links below. As part of the IAPT Version 2.0 changes, we are reviewing our publication outputs and looking to redesign our Power BI Dashboards. If you would like to provide input into the redesign and provide any feedback before the new dashboards go live, please contact us via email: mh.analysis@nhs.net We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report.