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.

Data is sourced from various health resources. Data is transformed into a BI format and quality assured. Data is consumed by a dashboard created in Power BI. Four reports exist for this dashboard:1. HIV Prevalence and TB Success RateHIV prevalence amongst women attending antenatal clinics in the Western Cape (2012-2015) by district and yearHIV prevalence amongst women attending antenatal clinics in the province (2012-2015) by province and yearTB Programme Success Rate (2013/14-2018/19) by TB Measure2. Births and Maternal MortalitiesNeonatal in facility (0-28 days) mortality rate (2015/16-2018/19); by years and neonatal death rate in facility and mortality rate by 1,000 live births Facility maternal mortality rate (2002, 2005, 2008, 2011, 2014); by triennia (3 years) deaths by 1,000 live births in WC (incl count of maternal deaths, count of live births, and infant maternal mortality ration)(Child (under 5) and Infant (under 1) mortality rate (2011, 2012, 2013); filter years, Infant/Child age band; Years, District, Births and Deaths by age bandDelivery rate in facility to women under 20 years (2013/14-2018/19); filter by financial year (FY); delivery rate by FY, delivery rate, numerator (births to women <20), denominator (total births)3. Deaths and Life ExpectancyLeading underlying causes of death in the Western Cape (2012-2016) by years and cause of deathYears of life lost (YLL) by cause of death in the WC (2012-2016) by years and YLL cause of deathAverage Life Expectency (LE) at birth (2006, 2011, 2016) by year, province, and gender4. Travel time to facilitiesTravel time taken to health facility by households with expenditure less than R1200-SA (2013-2018); by year, province, and travel time to health facilityTravel time taken to health facility by households with expenditure less than R1200-WC (2013-2018); by year, province, population group, and travel time to health facilityPublication Date2 September 2021LineageData from various sources transformed to a BI format and used to develop dynamic Power BI dashboards reflecting Outcome Indicators: HIV prevalence amongst women attending antenatal clinics in the provinceAll DS-TB (drug-susceptible tuberculosis) client treatment success rateNeonatal in facility (0-28 days) mortality rateFacility maternal mortality rateDelivery rate in facility to women under 20 yearsLife Expectancy (LE)Leading underlying causes of death in the Western CapeTravel time taken to health facility by households with expenditure less than R1200 (SA and WC)Data Source2019 National Antenatal Sentinel HIV Survey, National Department of Health 2021;Annual report 2014/15-2020/21, DOH;District Health Information Systems;Mid-year population estimates, Stats SA; Life Expectancy Stats SA calculations;Mortality and Causes of Death in South Africa 2018, June 2021, Stats SA

This interactive Power BI dashboard displays real-time weather conditions for various locations. It includes dynamic visuals such as temperature, humidity, weather descriptions, and auto-changing background images based on live forecasts. Designed to provide quick, accurate, and visually engaging weather insights at a glance.

The Business Intelligence (BI) analysis tools market is experiencing robust growth, driven by the increasing need for data-driven decision-making across diverse sectors. The market, estimated at $25 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This expansion is fueled by several key factors. The rising adoption of cloud-based BI solutions offers scalability, cost-effectiveness, and accessibility, attracting both large enterprises and smaller businesses. Furthermore, the growing volume and complexity of data necessitate sophisticated analytical tools capable of extracting actionable insights. The shift towards self-service BI empowers business users to conduct their own analyses, reducing reliance on IT departments and accelerating decision-making processes. Industry verticals like banking, government, and enterprises are heavily investing in these tools to gain a competitive edge through better understanding of customer behavior, operational efficiency, and risk management. The competitive landscape is dynamic, with established players like Tableau, Power BI, and QlikView vying for market share alongside emerging innovative companies. The market is segmented by report format (traditional, self-service), application (enterprise, banking, government, others), and geographic region, showcasing diverse opportunities for growth. The North American market currently holds a significant share, followed by Europe and Asia-Pacific, with significant potential for growth in emerging economies. The continued development of advanced analytics capabilities, such as artificial intelligence (AI) and machine learning (ML) integration within BI tools, is further accelerating market growth. These advancements enable predictive analytics, real-time dashboards, and automated insights, providing businesses with a competitive edge. However, challenges remain, including the need for skilled professionals to effectively utilize these complex tools and address data security and privacy concerns. Despite these hurdles, the long-term outlook for the BI analysis tools market remains positive, driven by ongoing technological advancements, expanding data volumes, and the ever-increasing demand for actionable insights across industries. The diverse range of tools, from enterprise-grade solutions to self-service platforms, caters to the varied needs and budgets of organizations of all sizes, contributing to the overall market expansion.

The global Healthcare Business Intelligence (BI) Software market is experiencing robust growth, driven by the increasing need for data-driven decision-making within healthcare organizations. The market's expansion is fueled by several key factors: the rising adoption of electronic health records (EHRs) generating massive datasets, the imperative for improved operational efficiency and cost reduction, the demand for personalized medicine and proactive patient care, and the growing regulatory compliance requirements demanding advanced analytics capabilities. The market is segmented by deployment (cloud-based and on-premise), by component (software, services), and by end-user (hospitals, clinics, pharmaceutical companies, etc.). While precise market sizing data isn't provided, based on industry reports and the listed prominent players (Domo, Sisense, Tableau, Microsoft, etc.), a reasonable estimate for the 2025 market size could be around $15 billion, with a projected Compound Annual Growth Rate (CAGR) of 15-20% through 2033. This growth trajectory reflects the continuous investment in healthcare IT infrastructure and the increasing sophistication of BI tools tailored for the complexities of healthcare data. Several trends are shaping the future of this market. These include the growing adoption of Artificial Intelligence (AI) and Machine Learning (ML) within BI platforms to provide predictive analytics and improved insights, the rise of cloud-based BI solutions offering scalability and cost-effectiveness, the increasing demand for real-time data visualization and dashboards for immediate decision support, and the focus on data security and privacy compliance within the healthcare sector. While the market faces restraints such as high initial investment costs, the complexity of integrating data from diverse sources, and the need for skilled professionals to manage and interpret the data, the significant benefits offered by BI solutions are driving widespread adoption and making these challenges manageable. The competitive landscape is highly dynamic, with established players like Microsoft and Tableau alongside specialized healthcare BI providers like DashboardMD and CareVoyant, leading to innovation and improved solutions for diverse healthcare needs.

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...

The BFSI (Banking, Financial Services, and Insurance) Business Intelligence market is experiencing robust growth, driven by the increasing need for data-driven decision-making within these sectors. The rising volume and complexity of financial data, coupled with stringent regulatory compliance requirements, are compelling BFSI institutions to adopt advanced BI solutions. This market is projected to witness a significant expansion over the forecast period (2025-2033), with a Compound Annual Growth Rate (CAGR) that we estimate to be around 12%, based on industry trends observed in related technology sectors. Key growth drivers include the need for improved fraud detection, enhanced customer relationship management (CRM), optimized risk management, and improved operational efficiency. The adoption of cloud-based BI solutions is also accelerating market growth, offering scalability, cost-effectiveness, and enhanced accessibility. The competitive landscape is characterized by a mix of established players like Microsoft, Tableau, and Oracle, alongside specialized BFSI BI providers and emerging technology companies. These companies are continually innovating to offer advanced analytics capabilities, including predictive modeling, machine learning, and real-time dashboards, to meet the evolving needs of the BFSI sector. While the market presents significant opportunities, challenges remain, including data security concerns, the need for skilled data analysts, and the integration complexities associated with legacy systems. Despite these hurdles, the increasing digitalization within the BFSI industry and the ongoing demand for data-driven insights are expected to fuel sustained market growth throughout the forecast period. The market segmentation likely includes solutions by deployment (cloud, on-premise), by application (fraud detection, customer analytics, risk management), and by component (software, services). Regional growth will vary, with North America and Europe anticipated to hold significant market shares, followed by Asia-Pacific, showing strong growth potential.

Blinkit Sales Dashboard

Dashboard Link : "url">https://app.powerbi.com/groups/me/reports/6e5e5f78-d424-4da5-b4b1-73d1b6cbdf58/349ecb3b9c8fa14955af?experience=power-bi

Problem Statement

This dashboard comprises the sales of Blinkit.To conduct a comprehensive analysis of Blinkit's sales performance,customer satisfaction, and inventory distribution to identify key insights and opportunities for optimization using various KPI's and Visualization in Power BI.

KPI'S Requirements

• Total Sales : The overall revenue generated from all items sold.
• Average Sales : The average revenue per sale.
• Number of items : The total count of different items sold.
• Average Rating : The average customer rating for items sold.

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excel data. link to the power BI dashboard Data live online: https://bit.ly/2RnUd7x