This Rio Grande and Pecos River Water Operations Dashboard was created using the Microsoft Power BI application and is currently available to the public. This dashboard was created to provide real time data of the Rio Grande and Pecos rivers and reservoirs for water operation managers to assist in monitoring and making decisions. Data includes 15-minute water flow data and reservoir elevation and storage data from the U.S. Geological Survey, Colorado Department of Water Resources, and U.S. Bureau of Reclamation. The water operations dashboard is in an easy to navigate format that allows the user to clearly view current river and reservoir data at a single website to help make operations, management, and planning decisions.

Power BI Consulting Service Market Outlook

The global Power BI Consulting Service market size was valued at approximately $1.2 billion in 2023 and is projected to reach around $4.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.3% during the forecast period. This substantial growth is driven by the increasing adoption of business intelligence and data analytics tools across numerous industries.

One of the primary growth factors for the Power BI Consulting Service market is the escalating demand for data-driven decision-making across various sectors. As organizations increasingly recognize the value of business intelligence tools in extracting actionable insights from raw data, the need for skilled consultants to implement and manage these tools has surged. Moreover, the proliferation of big data and the rising importance of data visualization techniques are further propelling market growth. Companies are looking to leverage Power BI's robust capabilities to transform complex data sets into intuitive and interactive dashboards, thereby enhancing their strategic decision-making processes.

Another significant driver for the market is the rapid digital transformation and the shift towards cloud-based solutions. With the advent of cloud computing, enterprises of all sizes are investing heavily in cloud infrastructure, which offers flexibility, scalability, and cost-effectiveness. Power BI, with its seamless integration with various cloud services and platforms, is becoming a go-to solution for businesses aiming to modernize their data strategies. Consequently, the demand for consultancy services to assist in the smooth adoption and integration of Power BI into existing IT ecosystems is on the rise.

The increasing trend of remote work and the need for real-time data access and collaboration have also contributed to market expansion. As businesses adapt to the new normal brought about by the COVID-19 pandemic, there is a growing requirement for tools that facilitate remote collaboration and instant data sharing. Power BI's capability to provide real-time analytics and its ease of use make it an attractive option for businesses looking to maintain productivity and efficiency in a distributed work environment. This has led to heightened demand for consulting services to ensure that organizations can effectively leverage Power BI to meet their dynamic needs.

Regionally, North America is expected to hold a dominant position in the Power BI Consulting Service market, driven by the presence of numerous technology giants and high adoption rates of advanced analytics tools. However, the Asia Pacific region is anticipated to witness the fastest growth, attributed to the burgeoning IT sector and increasing digital initiatives by governments and businesses. European markets, with their focus on regulatory compliance and data protection, also present significant opportunities for growth in the Power BI consulting domain.

In the realm of business intelligence, Win-Loss Analysis Service is gaining traction as a crucial tool for organizations striving to understand their competitive positioning. This service involves a detailed examination of past business deals, identifying factors that contributed to wins and losses. By leveraging insights from Win-Loss Analysis, companies can refine their strategies, enhance customer engagement, and improve their overall sales effectiveness. The integration of such analysis with Power BI enables businesses to visualize patterns and trends, offering a comprehensive view of market dynamics. As organizations seek to optimize their decision-making processes, the demand for Win-Loss Analysis Service is expected to rise, complementing the growth of Power BI consulting services.

Service Type Analysis

The Power BI Consulting Service market can be segmented by service type into Implementation, Training, Support, and Maintenance. Among these, the implementation segment is expected to hold the largest market share during the forecast period. The increasing complexity of data environments and the need for customized solutions are driving the demand for implementation services. Organizations often require expert assistance to configure and deploy Power BI according to their specific requirements, ensuring that the tool integrates seamlessly with existing systems and processes.

Training services are also gaining prominence as businesses strive to empower thei

The size of the US Business Intelligence Market was valued at USD 19942.01 million in 2023 and is projected to reach USD 38369.43 million by 2032, with an expected CAGR of 9.80% during the forecast period. Business Intelligence (BI) refers to the technologies, processes, and practices used to collect, analyze, and present business data in a meaningful way to support decision-making within an organization. BI involves a wide range of tools and techniques, including data mining, reporting, performance management, analytics, and querying, to convert raw data into actionable insights. By integrating data from various sources such as internal databases, external data providers, and cloud platforms, BI enables companies to gain a comprehensive view of their operations, market trends, customer behavior, and financial performance. This growth is driven by factors such as the increasing adoption of data-driven decision-making, the need for real-time insights, and advancements in artificial intelligence (AI) and machine learning (ML) technologies. The market benefits from the integration of BI with other technologies such as cloud computing, big data, and the Internet of Things (IoT). Additionally, government initiatives promoting data transparency and accountability, as well as rising data security concerns, are contributing to the growth of the US Business Intelligence Market. Recent developments include: In January 2023, Microsoft launched Power Bl in Microsoft Teams to enhance user experiences. The announcements include three new features: rich broadcast cards for Chat in Microsoft Teams, an update for classic Power Bl tabs for Channels 2.0, and listening to and learning from experiences and requirements., In December 2022, Tableau released its improved Tableau 2022.4 for business users and analysts to discover insights. It automates the creation, analysis, and communication of insights through data stories like Data Change Radar, Data Guide, and Explain the Viz., In November 2022, Qlik introduced a new cloud-based data integration platform. The sophisticated platform as a service brings together catalog capabilities and data preparation in one place. The new integration enables firms to do real-time data analysis. The advanced platform includes a number of services that combine to form a data fabric, connecting data sources and providing an organization with an integrated view of its data.. Notable trends are: Increased capital infusion promotes market growth.

The Business Intelligence (BI) market size was valued at USD 29.42 USD billion in 2023 and is projected to reach USD 53.78 USD billion by 2032, exhibiting a CAGR of 9.0 % during the forecast period. The increasing adoption of cloud-based BI solutions and the growing demand for data-driven insights to improve decision-making are the primary factors driving the market growth. Business intelligence (BI) is the software that feeds on the business data and then presents it in such user-friendly views as reports, dashboard, charts, and graphs. The businesses study the data to obtain actionable insights and inform themselves in decision-making. Business intelligence tools allow users to work with different types of data - historical and current, third-party and in-house, as well as semi-structured data and unstructured data like social media. Through this, users can discover valuable insights as to how the business is doing. Business intelligence is a general name that embraces data mining, process analysis, performance benchmarking, and descriptive analytics. BI not only processes all the business data but also offers reports, performance indicators, and trends that are easily understood by management hence helping to make decisions. Recent developments include: In June 2023, ThoughtSpot, an AI-powered analytics firm, acquired Mode Analytics, a business intelligence company, to expand ThoughtSpot’s presence in India and double the customer base., In May 2023, Qlik acquired Talend for expanding the company’s capabilities for modern enterprises to transform, trust, access, analyze, and take action with data., In January 2023, Microsoft announced Power BI in Microsoft Teams for improved experiences. The announcements come with three new features, rich broadcast cards for Chat in Microsoft Teams, an update for legacy Power BI tabs for Channels 2.0, and listening and learning from experiences and requirements. , In December 2022, Tableau launched its upgraded Tableau 2022.4 for business users and analysts to explore insights. It automates developing, analyzing, and communicating insights with data stories such as Data Change Radar, Data guide, and Explain the Viz., In November 2022, Qlik launched a new cloud-based data integration platform. The advanced platform as a service combines catalog capabilities and data preparation in a single place. The new integration enables real-time data analysis for organizations. The advanced platform includes a range of services that form a data fabric unification of services to connect data sources that allow an organization to have an integrated view of its data., In October 2022, Mode Analytics announced its partnership with Dbt Labs to reveal the launch of the new Semantic Layer of Dbt. Mode Analytics deep integration and Dbt Semantic Layer enables governed, consistent metrics instantaneously accessible for exploration without any code. Thus, it allows organizations to define and manage their key business metrics consistently., In October 2022, Oracle enhanced inclusive and incorporated data and analytics facilities to empower corporate users. With the new abilities in Oracle Fusion Analytics over ERP, CX, HCM, and SCM analytics, corporate users can now use dashboards, KPIs, and reports to evaluate performance over strategic goals.. Key drivers for this market are: Increasing Usage of Integrated BI Systems to Augment the Market Growth . Potential restraints include: Difficulties in Abstracting Data from Third-party Systems due to Poor Data Quality Hinder the Market Growth. Notable trends are: Growing Popularity of Continuous Intelligence to Propel Market Growth.

Dataset

This dataset was created by mbaabu Harun Mwenda

Contents

What is IPGOD?\r

The Intellectual Property Government Open Data (IPGOD) includes over 100 years of registry data on all intellectual property (IP) rights administered by IP Australia. It also has derived information about the applicants who filed these IP rights, to allow for research and analysis at the regional, business and individual level. This is the 2019 release of IPGOD.\r \r \r

How do I use IPGOD?\r

IPGOD is large, with millions of data points across up to 40 tables, making them too large to open with Microsoft Excel. Furthermore, analysis often requires information from separate tables which would need specialised software for merging. We recommend that advanced users interact with the IPGOD data using the right tools with enough memory and compute power. This includes a wide range of programming and statistical software such as Tableau, Power BI, Stata, SAS, R, Python, and Scalar.\r \r \r

IP Data Platform\r

IP Australia is also providing free trials to a cloud-based analytics platform with the capabilities to enable working with large intellectual property datasets, such as the IPGOD, through the web browser, without any installation of software. IP Data Platform\r \r

References\r

\r The following pages can help you gain the understanding of the intellectual property administration and processes in Australia to help your analysis on the dataset.\r \r * Patents\r * Trade Marks\r * Designs\r * Plant Breeder’s Rights\r \r \r

Updates\r

\r

Tables and columns\r

\r Due to the changes in our systems, some tables have been affected.\r \r * We have added IPGOD 225 and IPGOD 325 to the dataset!\r * The IPGOD 206 table is not available this year.\r * Many tables have been re-built, and as a result may have different columns or different possible values. Please check the data dictionary for each table before use.\r \r

Data quality improvements\r

\r Data quality has been improved across all tables.\r \r * Null values are simply empty rather than '31/12/9999'.\r * All date columns are now in ISO format 'yyyy-mm-dd'.\r * All indicator columns have been converted to Boolean data type (True/False) rather than Yes/No, Y/N, or 1/0.\r * All tables are encoded in UTF-8.\r * All tables use the backslash \ as the escape character.\r * The applicant name cleaning and matching algorithms have been updated. We believe that this year's method improves the accuracy of the matches. Please note that the "ipa_id" generated in IPGOD 2019 will not match with those in previous releases of IPGOD.

Power BI Dashboard : https://www.mavenanalytics.io/project/3776

The IPL (Indian Premier League) is one of the most popular and widely followed cricket leagues in the world. It features top cricket players from around the world playing for various franchise teams in India. The league is known for its high-scoring matches, intense rivalries, and innovative marketing strategies.

If you are a data enthusiast or a cricket fan, you will be excited to know that there is a dataset available on Kaggle that contains comprehensive information about the IPL matches played over the years. This dataset is a valuable resource for anyone interested in analyzing the performance of players and teams in the league.

The IPL dataset on Kaggle contains information on over 800 IPL matches played from 2008 to 2020. It includes details on the date, time, venue, teams, players, and various statistics such as runs scored, wickets taken, and more. The dataset also contains information on the individual performances of players and teams, as well as the overall performance of the league over the years.

The IPL dataset is a goldmine for data analysts and cricket enthusiasts alike. It provides a wealth of information that can be used to uncover insights about the league and its players. For example, you can use the dataset to analyze the performance of a particular player or team over the years, or to identify trends in the league such as changes in team strategies or the emergence of new players.

If you are new to data analysis, the IPL dataset is a great place to start. You can use it to learn how to use tools such as Excel or Power BI to create visualizations and gain insights from data. With the right skills and tools, you can use the IPL dataset to create interactive dashboards and reports that provide valuable insights into the world of cricket.

Overall, the IPL dataset on Kaggle is an excellent resource for anyone interested in cricket or data analysis. It contains a wealth of information that can be used to analyze and gain insights into the performance of players and teams in one of the most exciting cricket leagues in the world.

This dataset contains points table and player Information. To view more data such as Match stats, Ball_by_ball data & Player innings data, Please visit the below links:

Match stats, Ball_by_ball data: https://www.kaggle.com/datasets/biswajitbrahmma/ipl-complete-dataset-2008-2022

Player innings data: https://www.kaggle.com/datasets/paritosh712/cricket-every-single-ipl-inning-20082022

Thanks to Biswajit Brahmma & Paritosh Anand for their dataset.

The ckanext-power-bi extension for CKAN integrates Power BI reports into CKAN resources. It introduces a new "Power BI" resource view, allowing users to embed and view Power BI reports directly within CKAN. The extension is designed to generate embed tokens with "View" permissions only, restricting interaction to viewing existing report bookmarks without edit capabilities. Key Features: Power BI Report Embedding: Enables embedding Power BI reports into CKAN resources, providing an interactive data visualization experience for CKAN users. View-Only Permissions: Generates embed tokens with "View" permissions, ensuring users can only view and interact with pre-existing report bookmarks and not modify the reports themselves. This means features such as editing are disabled and the experience is limited to viewing. Workspace ID Configuration: Requires the Power BI Workspace ID (Group ID) to correctly connect and display the desired reports. Optional Organization Name Configuration: Allows specifying the Azure organization (tenant) name, intended for possible future Power BI API enhancements (currently unused). i18n Support: Supports Power BI's Multiple-Language Reports feature, allowing the appropriate language to be displayed based on the user's CKAN locale. Provides configurations to facilitate the use of alternate i18n methods if internal translation is needed. MSI Authentication: Leverages ManagedIdentityCredential (MSI) to authenticate with Azure, simplifying authentication in Azure environments using system-assigned managed identities. Technical Integration: The extension integrates into CKAN by adding a new resource view type. It requires configuration settings in CKAN's config file (.ini) to specify the Power BI Workspace ID and optionally the organization name, as well as enabling the plugin in the ckan.plugins setting. It utilizes the Azure Identity library to handle authentication. Benefits & Impact: By integrating Power BI reports directly into CKAN, this extension enhances data accessibility and usability. Users can view and interact with data visualizations without leaving the CKAN environment, fostering a more seamless data exploration experience.

Proven and Easiest Way to Pass Microsoft PL-300 Exam Job competition is increasing with the passage of time. To compete in this competition you have to upgrade your skills. With the Microsoft PL-300 certification exam you can do this job easily. The Microsoft Power BI Data Analyst PL-300 certification exam offers a great opportunity for experienced and beginners to validate their expertise and knowledge. In return, they can gain several personal and professional benefits. No doubt the Power BI Data Analyst Associate PL-300 certification exam is a valuable credential that is designed to recognize your expertise in the market. Are you ready for this? Looking for the instant and smart way to pass the challenging PL-300 certification exam? If your answer is yes then you should keep in mind that to pass the Microsoft Power BI Data Analyst PL-300 the exam is a challenging task. You have to put in some extra effort, time, and investment then you will be confident to pass the Microsoft Power BI Data Analyst PL-300 exam. In this journey, the JustCerts PL-300 QUESTIONS can be helpful to you. You must try JustCerts Microsoft PL-300 exam questions today. Top Features of JustCerts PL-300 Exam Questions The JustCerts is a leading platform that has been offering valid, updated, and real Microsoft Power BI Data Analyst PL-300 exam questions for many years. Over this long time period, the countless Microsoft PL-300 exam candidates have passed their dream PL-300 certification exam and they all got help from top-notch and easy-to-use Microsoft Power BI Data Analyst PL-300 exam practice test questions. The Microsoft PL-300 exam questions offered by the JustCerts are being offered in three different formats. These three different JustCerts PL-300 exam questions formats contain the real Microsoft Power BI Data Analyst PL-300 exam questions that assist you in PL-300 exam preparation and speed up the Microsoft PL-300 exam preparation process. So in this way, you can prepare yourself to crack the final Microsoft Power BI Data Analyst PL-300 exam easily. Types of JustCerts PL-300 Exam Practice Test Questions The JustCerts is a leading platform that is committed to making the Microsoft PL-300 exam preparation successful at any cost. To achieve this objective the Microsoft PL-300 exam practice test questions are being offered in three different formats. The names of these formats are JustCerts PL-300 PDF dumps file, desktop practice test software, and web-based practice test software. All these Power BI Data Analyst Associate PL-300 exam questions are easy to use and perfectly work with all operating systems, devices, and browsers. The JustCerts PL-300 PDF DUMPS file is easy to install and use. Just download the JustCerts Microsoft Power BI Data Analyst PL-300 dumps on your desktop, laptop, tabs, or even your smart phone and start JustCerts PL-300 exam preparation today. The Microsoft PL-300 web-based practice test software is a browser-based application that works with all browsers and provides you with real time Microsoft Power BI Data Analyst PL-300 exam preparation environment. The Microsoft PL-300 the desktop practice test software is also mock Microsoft Power BI Data Analyst PL-300 but it is a not browser-based application. It will install on your desktop top and laptop and is very easy to install and use. Download JustCerts PL-300 Exam Dumps today and Start Preparation Just download any JustCerts Microsoft PL-300 exam questions format that suits your budget and fulfill your Microsoft Power BI Data Analyst PL-300 exam preparation perfectly and start preparation without wasting further time. The JustCerts ensures that you will not only feel confident in the final day of the Microsoft Power BI Data Analyst PL-300 exam but also pass it with good scores. Get Special 25% EXTRA Discount on PL-300 Dumps By JustCerts Order your Microsoft PL-300 Dumps now to Avail 25% EXTRA Discount on the PL-300 Exam Dumps learning material and get your dream certification. PL-300 dumps | PL-300 exam dumps | PL-300 dumps pdf | PL-300 PDf dumps | PL-300 Exam | PL-300 PDF | Microsoft PL-300 | Microsoft PL-300 dumps | PL-300 exam questions | PL-300 pdf questions | PL-300 exam pdf | PL-300 Exam Coupon | PL-300 Braindumps | PL-300 exam promo code | PL-300 Practice Questions

Analyzing sales data is essential for any business looking to make informed decisions and optimize its operations. In this project, we will utilize Microsoft Excel and Power Query to conduct a comprehensive analysis of Superstore sales data. Our primary objectives will be to establish meaningful connections between various data sheets, ensure data quality, and calculate critical metrics such as the Cost of Goods Sold (COGS) and discount values. Below are the key steps and elements of this analysis:

1- Data Import and Transformation:

• Gather and import relevant sales data from various sources into Excel.
• Utilize Power Query to clean, transform, and structure the data for analysis.
• Merge and link different data sheets to create a cohesive dataset, ensuring that all data fields are connected logically.

2- Data Quality Assessment:

• Perform data quality checks to identify and address issues like missing values, duplicates, outliers, and data inconsistencies.
• Standardize data formats and ensure that all data is in a consistent, usable state.

3- Calculating COGS:

• Determine the Cost of Goods Sold (COGS) for each product sold by considering factors like purchase price, shipping costs, and any additional expenses.
• Apply appropriate formulas and calculations to determine COGS accurately.

4- Discount Analysis:

• Analyze the discount values offered on products to understand their impact on sales and profitability.
• Calculate the average discount percentage, identify trends, and visualize the data using charts or graphs.

5- Sales Metrics:

• Calculate and analyze various sales metrics, such as total revenue, profit margins, and sales growth.
• Utilize Excel functions to compute these metrics and create visuals for better insights.

6- Visualization:

• Create visualizations, such as charts, graphs, and pivot tables, to present the data in an understandable and actionable format.
• Visual representations can help identify trends, outliers, and patterns in the data.

7- Report Generation:

• Compile the findings and insights into a well-structured report or dashboard, making it easy for stakeholders to understand and make informed decisions.

Throughout this analysis, the goal is to provide a clear and comprehensive understanding of the Superstore's sales performance. By using Excel and Power Query, we can efficiently manage and analyze the data, ensuring that the insights gained contribute to the store's growth and success.

The size of the Mobile BI Market was valued at USD 14.247 Billion in 2024 and is projected to reach USD 50.99 Billion by 2033, with an expected CAGR of 19.98% during the forecast period. The Mobile Business Intelligence (BI) market is experiencing rapid growth as enterprises increasingly adopt mobile-driven analytics solutions to enhance decision-making and operational efficiency. With the rising use of smartphones and tablets, organizations are integrating BI tools with mobile platforms to ensure real-time data access, visualization, and reporting. Key drivers include the growing demand for remote access to business insights, advancements in AI-driven analytics, and the need for faster decision-making in a competitive landscape. Cloud-based BI solutions are gaining traction, offering scalability, flexibility, and cost-efficiency. Industries such as retail, healthcare, finance, and manufacturing are leveraging mobile BI for predictive analytics, customer insights, and performance monitoring. Security concerns and data privacy regulations remain challenges, prompting organizations to implement robust encryption and access controls. Leading market players are focusing on AI-powered dashboards, self-service analytics, and intuitive user interfaces to enhance user adoption. As 5G and edge computing continue to evolve, mobile BI is expected to become more sophisticated, offering real-time insights with minimal latency, ultimately transforming how businesses analyze and act on data-driven intelligence. Recent developments include: January 2023: For better experiences, Microsoft released Power BI in Microsoft Teams. Three new features are included in the announcements: rich broadcast cards for Chat in Microsoft Teams, an upgrade for old Power BI tabs for Channels 2.0, and listening to and taking into account user feedback., December 2022: Tableau released Tableau 2022.4, an updated version for analysts and business users to explore information. With data stories like Data Change Radar, Data Guide, and Explain the Viz, it automates creating, evaluating, and sharing insights., November 2022:Qlik introduced a new cloud-based data integration platform. The cutting-edge platform as a service combines data preparation and catalog capabilities in one location. Organizations may now analyze data in real-time thanks to the new integration.. Key drivers for this market are: Increased demand for data insights on the move

Growing adoption of cloud computing and mobile devices

Enhancements in mobile technology and user experience

Data-driven decision-making and competitive advantage

Need for real-time analytics and actionable insights. Potential restraints include: Data security and privacy concerns

Lack of technical expertise and training

Limited adoption in certain industries

Dependence on network connectivity

Concerns over data integrity and accuracy. Notable trends are: Artificial intelligence (AI) and machine learning (ML) for predictive analytics

Integration with augmented reality (AR) and virtual reality (VR)

Data-as-a-Service (DaaS) and subscription-based models

Conversational analytics and natural language processing (NLP)

Blockchain-enabled data security and privacy.

The market encompasses a wide range of business intelligence products, each catering to specific business needs. These include:Reporting: Tools for creating interactive reports and dashboardsData Mining: Solutions for extracting valuable insights from large datasetsData Analytics: Advanced analytical capabilities for identifying patterns, trends, and correlationsOLAP (Online Analytical Processing): Tools for analyzing multidimensional dataProcess and Text Mining: Solutions for uncovering hidden insights from unstructured dataCPM (Corporate Performance Management): Tools for monitoring and managing financial and operational performanceDSS (Decision Support Systems): Systems that provide data and analytical tools to aid decision-makingComplex Event Processing: Solutions for analyzing and reacting to real-time eventsOthers: Specialized solutions for industry-specific or niche requirements Recent developments include: May 2023: Rackspace US Inc. declared that it has partnered with CCS Presentation Systems to accomplish a challenging cloud migration with success. The adoption of a cloud-native environment during this shift led to improved productivity, scalability, and security. In order to optimize their remote workforce and lower the total cost of ownership (TCO), Rackspace Technology offered Rackspace Elastic Engineering for Microsoft Azure in addition to consulting and advisory services., January 2023: For better experiences, Microsoft released Power BI in Microsoft Teams. Three new features are included in the announcements: listening and learning from requirements and experiences, an upgrade for legacy Power BI tabs for Channels 2.0, and rich broadcast cards for Chat in Microsoft Teams. , May 2021: For an undisclosed sum, EPAM Systems, a custom software solutions supplier based in the United States, purchased Just-Bl BV, a business intelligence (bi) software company based in the Netherlands. The goal of EPAM Systems' acquisition is to broaden its extensive offering of analytics and data services..

This Power BI dashboard shows the COVID-19 vaccination rate by key demographics including age groups, race and ethnicity, and sex for Tempe zip codes.Data Source: Maricopa County GIS Open Data weekly count of COVID-19 vaccinations. The data were reformatted from the source data to accommodate dashboard configuration. The Maricopa County Department of Public Health (MCDPH) releases the COVID-19 vaccination data for each zip code and city in Maricopa County at ~12:00 PM weekly on Wednesdays via the Maricopa County GIS Open Data website (https://data-maricopa.opendata.arcgis.com/). More information about the data is available on the Maricopa County COVID-19 Vaccine Data page (https://www.maricopa.gov/5671/Public-Vaccine-Data#dashboard). The dashboard’s values are refreshed at 3:00 PM weekly on Wednesdays. The most recent date included on the dashboard is available by hovering over the last point on the right-hand side of each chart. Please note that the times when the Maricopa County Department of Public Health (MCDPH) releases weekly data for COVID-19 vaccines may vary. If data are not released by the time of the scheduled dashboard refresh, the values may appear on the dashboard with the next data release, which may be one or more days after the last scheduled release.Dates: Updated data shows publishing dates which represents values from the previous calendar week (Sunday through Saturday). For more details on data reporting, please see the Maricopa County COVID-19 data reporting notes at https://www.maricopa.gov/5460/Coronavirus-Disease-2019.

This Attrition Analysis Dashboard was created using Power BI, leveraging dummy data from Udemy to simulate a real-world HR scenario. The dashboard provides key insights into employee attrition trends, reasons for leaving, and workforce retention strategies.

This dataset is about book subjects. It has 3 rows and is filtered where the books is Beginning big data with Power BI and Excel 2013 : big data processing and analysis using Power BI in Excel 2013. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

I'm excited to share my latest project—an interactive Power BI dashboard that provides a comprehensive analysis of bike sales data from 2019 to 2024!

Key Highlights of the Dashboard:

📈 Sales Trend Analysis: Understand how bike sales have fluctuated over the years, with peaks in specific months that give us clues about seasonal demand. 🏢 Sales by Store Location: See how different cities like New York and Phoenix lead in terms of total sales revenue. 🚴‍♀️ Customer Demographics: Almost equal contributions from male and female customers—showing the broad appeal of our products. 💳 Payment Method Preferences: Breakdown of the most used payment methods, with insights that can help improve our customer experience. 📊 Revenue by Bike Model: A detailed look at which bike models drive the most revenue, helping guide product focus and inventory management. This dashboard was built to provide actionable insights into the sales performance and customer behavior of a large dataset of 100K records. It highlights the power of data visualization in turning numbers into strategic insights!

Why Power BI? Power BI's flexibility and interactive capabilities made it the ideal tool for visualizing the data, allowing users to drill down into specific details using slicers for bike models and time periods. 💡

Would love to hear your thoughts or any feedback on this project! If you’re interested in how this dashboard was built or want to discuss data visualization, feel free to reach out. Let’s transform data into stories that drive success! 🌟

Company Datasets for valuable business insights!

Discover new business prospects, identify investment opportunities, track competitor performance, and streamline your sales efforts with comprehensive Company Datasets.

These datasets are sourced from top industry providers, ensuring you have access to high-quality information:

• Owler: Gain valuable business insights and competitive intelligence. -AngelList: Receive fresh startup data transformed into actionable insights. -CrunchBase: Access clean, parsed, and ready-to-use business data from private and public companies. -Craft.co: Make data-informed business decisions with Craft.co's company datasets. -Product Hunt: Harness the Product Hunt dataset, a leader in curating the best new products.

We provide fresh and ready-to-use company data, eliminating the need for complex scraping and parsing. Our data includes crucial details such as:

• Company name;
• Size;
• Founding date;
• Location;
• Industry;
• Revenue;
• Employee count;
• Competitors.

You can choose your preferred data delivery method, including various storage options, delivery frequency, and input/output formats.

Receive datasets in CSV, JSON, and other formats, with storage options like AWS S3 and Google Cloud Storage. Opt for one-time, monthly, quarterly, or bi-annual data delivery.

With Oxylabs Datasets, you can count on:

• Fresh and accurate data collected and parsed by our expert web scraping team.
• Time and resource savings, allowing you to focus on data analysis and achieving your business goals.
• A customized approach tailored to your specific business needs.
• Legal compliance in line with GDPR and CCPA standards, thanks to our membership in the Ethical Web Data Collection Initiative.

Pricing Options:

Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Unlock the power of data with Oxylabs' Company Datasets and supercharge your business insights today!

📝 Dataset Overview: This enhanced dataset captures the real-world operational and clinical performance data from a major hospital in Nigeria — Lagos University Teaching Hospital (LUTH). It includes detailed information on admissions, patient care, medical services, billing, and staff activities, ideal for healthcare analytics, hospital management dashboards, and machine learning projects.

🔍 Dataset Features (Suggested Columns): Column Name Description Patient_ID Unique anonymized patient ID Admission_Date Date of admission Discharge_Date Date of discharge Gender Patient’s gender Age Patient’s age Department Medical department involved Diagnosis Primary diagnosis Doctor Attending physician (anonymized) Treatment_Provided Type of treatment/procedure Lab_Tests Count of lab tests conducted Medications_Administered Total medications given Surgery_Cost (₦) If applicable, cost of surgery Bill_Amount (₦) Total bill charged to patient Ward Hospital ward assigned Length_of_Stay (days) Duration of hospitalization

🎯 Use Cases: Build hospital operations dashboards in Power BI

Analyze billing and cost patterns across departments

Predict length of stay or discharge outcomes

Explore departmental workload and performance

Use as a base for AI in hospital management systems

🏥 Clinical & Operational Value: This dataset empowers analysts and healthcare professionals to:

Track patient outcomes and billing efficiency

Reduce operational bottlenecks

Improve patient care with data-driven recommendations

Benchmark departmental performance

Train predictive models for resource allocation

👤 Created By: Fatolu Peter (Emperor Analytics) Dedicated to transforming public healthcare using analytics and real-world data across Nigerian hospitals. This is Project 14 in my growing health-tech analytics journey.

✅ LinkedIn Post: 🚑 New Kaggle Dataset: LUTH Hospital Enhanced Clinical & Operations Data 📊 Real hospital data on admissions, billing, treatments, and care metrics 🔗 Access the dataset now on Kaggle

This dataset gives you: ✅ Real hospital operations data ✅ Billing and medication insights ✅ Doctor and ward-level activity ✅ A perfect base for building Power BI dashboards or training ML models

Whether you're a data scientist, health analyst, or Power BI pro — this is real-world data to make real impact. Let’s build something powerful together. 💡

HealthcareAnalytics #LUTH #HospitalData #KaggleDataset #PowerBI #FatoluPeter #EmperorAnalytics #DataForGood #Project14 #PublicHealth #NigeriaHealthData

Burundi BI: Renewable Electricity Output: % of Total Electricity Output data was reported at 82.709 % in 2015. This records an increase from the previous number of 80.719 % for 2014. Burundi BI: Renewable Electricity Output: % of Total Electricity Output data is updated yearly, averaging 98.099 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 98.529 % in 1991 and a record low of 80.719 % in 2014. Burundi BI: Renewable Electricity Output: % of Total Electricity Output data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Burundi – Table BI.World Bank.WDI: Environmental: Energy Production and Consumption. Renewable electricity is the share of electrity generated by renewable power plants in total electricity generated by all types of plants.;IEA Statistics © OECD/IEA 2018 (https://www.iea.org/data-and-statistics), subject to https://www.iea.org/terms/;Weighted average;Restricted use: Please contact the International Energy Agency for third-party use of these data.

From 2016 to 2018, we surveyed the world’s largest natural history museum collections to begin mapping this globally distributed scientific infrastructure. The resulting dataset includes 73 institutions across the globe. It has:

• Basic institution data for the 73 contributing institutions, including estimated total collection sizes, geographic locations (to the city) and latitude/longitude, and Research Organization Registry (ROR) identifiers where available.

• Resourcing information, covering the numbers of research, collections and volunteer staff in each institution.

• Indicators of the presence and size of collections within each institution broken down into a grid of 19 collection disciplines and 16 geographic regions.

• Measures of the depth and breadth of individual researcher experience across the same disciplines and geographic regions.

This dataset contains the data (raw and processed) collected for the survey, and specifications for the schema used to store the data. It includes:

1. A diagram of the MySQL database schema.
2. A SQL dump of the MySQL database schema, excluding the data.
3. A SQL dump of the MySQL database schema with all data. This may be imported into an instance of MySQL Server to create a complete reconstruction of the database.
4. Raw data from each database table in CSV format.
5. A set of more human-readable views of the data in CSV format. These correspond to the database tables, but foreign keys are substituted for values from the linked tables to make the data easier to read and analyse.
6. A text file containing the definitions of the size categories used in the collection_unit table.

The global collections data may also be accessed at https://rebrand.ly/global-collections. This is a preliminary dashboard, constructed and published using Microsoft Power BI, that enables the exploration of the data through a set of visualisations and filters. The dashboard consists of three pages:

Institutional profile: Enables the selection of a specific institution and provides summary information on the institution and its location, staffing, total collection size, collection breakdown and researcher expertise.

Overall heatmap: Supports an interactive exploration of the global picture, including a heatmap of collection distribution across the discipline and geographic categories, and visualisations that demonstrate the relative breadth of collections across institutions and correlations between collection size and breadth. Various filters allow the focus to be refined to specific regions and collection sizes.

Browse: Provides some alternative methods of filtering and visualising the global dataset to look at patterns in the distribution and size of different types of collections across the global view.