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 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.

Global Sales Data Analysis Dashboard 🌍📊

Overview Explore an interactive Power BI dashboard designed to analyze global sales data! This dashboard delivers valuable insights into sales performance, regional trends, and product category contributions, making it a comprehensive tool for data enthusiasts and business professionals.

Key Features Global Sales Insights: A high-level view of total sales, profits, and units sold across regions. Geographical Analysis: Visual representation of sales performance by country or region. Category Performance: Analysis of product categories contributing the most to revenue. Time Series Trends: Monthly and yearly trends to identify patterns and seasonality. Interactive Filters: Slice and dice the data using filters for regions, products, and time periods. Why Use This Dashboard? This Power BI dashboard is ideal for businesses and analysts to:

Identify high-performing regions and products. Monitor sales and profit trends over time. Understand customer preferences across geographies.

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.

This dataset is completely based on personal expenses, incomes & savings throughout the year done by my family members. The finance analysis of 2022 year shows how much I had earned, saved and spent on several categories. Here you can see the following attributes like description : It shows the area of finance category: which are the area where money is going and coming sub category: It is the sub part of category category type : Like income, savings & expenses debit amount: includes expenses credit amount: includes incomes and savings Also where I had invested and should I have continue or not, what all things I have to control and what are the savings I can do from my income , this I can analyze from this report very easily. what are my way of spending and how much I'm focusing on my savings after having incomes from several sources. Which sub category shows more expenses and what I can limit that analysis I can do from this and many more to do.

The October 2017 dataset of the IMMAP-UNHCR Protection Movement Initiative for South Syria. Explore the PMI Power BI dashboard: https://app.powerbi.com/view?r=eyJrIjoiMjYyYjE5NWUtZTdmYi00ZDZhLTg2N2UtMDg1MzUxMWIxZDA2IiwidCI6ImY2ZjcwZjFiLTJhMmQtNGYzMC04NTJhLTY0YjhjZTBjMTlkNyIsImMiOjF9

"In this comprehensive multi-page Power BI project, I've delved into the world of cryptocurrency forecasting, leveraging dynamic slicers for both year and currency selection.

The project is designed to provide a holistic view of cryptocurrency performance, with various key metrics available at your fingertips. On the initial page, you'll find a dashboard featuring cards displaying essential data points such as trading volume, market capitalization, daily highs, lows, and their respective averages.

But that's just the beginning. This report seamlessly connects to additional pages, allowing for a more granular analysis. On the secondary page, we unveil two crucial graphs. The first graph unveils insights into the historical highs and lows of each cryptocurrency, charted against date, enabling a deeper understanding of price fluctuations over time. Meanwhile, the second graph presents data on opening and closing prices over date intervals.

This comprehensive report is a valuable resource for tracking and comprehending the trends within the cryptocurrency market. It's a powerful tool to gain insights into the world of digital currencies, their historical performance, and their market dynamics."

Feel free to adapt and refine this post to fit your personal style and preferences.

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!

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.

Warning: Large file size (over 1GB). Each monthly data set is large (over 4 million rows), but can be viewed in standard software such as Microsoft WordPad (save by right-clicking on the file name and selecting 'Save Target As', or equivalent on Mac OSX). It is then possible to select the required rows of data and copy and paste the information into another software application, such as a spreadsheet. Alternatively, add-ons to existing software, such as the Microsoft PowerPivot add-on for Excel, to handle larger data sets, can be used. The Microsoft PowerPivot add-on for Excel is available from Microsoft http://office.microsoft.com/en-gb/excel/download-power-pivot-HA101959985.aspx Once PowerPivot has been installed, to load the large files, please follow the instructions below. Note that it may take at least 20 to 30 minutes to load one monthly file. 1. Start Excel as normal 2. Click on the PowerPivot tab 3. Click on the PowerPivot Window icon (top left) 4. In the PowerPivot Window, click on the "From Other Sources" icon 5. In the Table Import Wizard e.g. scroll to the bottom and select Text File 6. Browse to the file you want to open and choose the file extension you require e.g. CSV Once the data has been imported you can view it in a spreadsheet. What does the data cover? General practice prescribing data is a list of all medicines, dressings and appliances that are prescribed and dispensed each month. A record will only be produced when this has occurred and there is no record for a zero total. For each practice in England, the following information is presented at presentation level for each medicine, dressing and appliance, (by presentation name): - the total number of items prescribed and dispensed - the total net ingredient cost - the total actual cost - the total quantity The data covers NHS prescriptions written in England and dispensed in the community in the UK. Prescriptions written in England but dispensed outside England are included. The data includes prescriptions written by GPs and other non-medical prescribers (such as nurses and pharmacists) who are attached to GP practices. GP practices are identified only by their national code, so an additional data file - linked to the first by the practice code - provides further detail in relation to the practice. Presentations are identified only by their BNF code, so an additional data file - linked to the first by the BNF code - provides the chemical name for that presentation.

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.

The cloud-based business intelligence (BI) software market is experiencing robust growth, driven by the increasing adoption of cloud computing, the need for real-time data analysis, and the rising demand for data-driven decision-making across various industries. The market, estimated at $25 billion in 2025, is projected to maintain a Compound Annual Growth Rate (CAGR) of 15% through 2033. This expansion is fueled by several key factors: the affordability and scalability of cloud solutions, the enhanced accessibility of data and analytics tools for businesses of all sizes, and the ability of cloud BI to integrate seamlessly with existing enterprise systems. Furthermore, the growing adoption of mobile devices and the increasing demand for self-service BI are contributing to market growth. The market is segmented by deployment type (public, private, hybrid), functionality (reporting, analytics, data visualization), industry (BFSI, healthcare, retail), and region (North America, Europe, Asia Pacific, etc.). Competition in the market is intense, with established players like Microsoft Power BI, Tableau, and SAP vying for market share alongside emerging competitors. These companies are constantly innovating, incorporating advanced technologies like artificial intelligence (AI) and machine learning (ML) into their platforms to enhance analytical capabilities and provide more insightful data visualizations. While the market faces challenges like data security concerns and the need for skilled professionals to effectively leverage these tools, the overall trajectory remains positive. The continued digitization of businesses and the ever-increasing volume of data generated will fuel further demand for robust and scalable cloud BI solutions. The market is expected to see significant consolidation as companies seek to expand their capabilities and address the evolving needs of their customer base.

The global visual development platform market is experiencing robust growth, driven by the increasing demand for data visualization and business intelligence solutions across diverse industries. The market's expansion is fueled by several key factors, including the rising adoption of cloud-based platforms, the proliferation of big data, and the growing need for faster, more insightful data analysis to support informed business decisions. Businesses are increasingly relying on visual tools to communicate complex data sets effectively to both technical and non-technical audiences, fostering demand for intuitive and user-friendly visual development platforms. The market is segmented by deployment (cloud, on-premises), organization size (small, medium, large enterprises), and industry vertical (BFSI, healthcare, retail, manufacturing, etc.), each exhibiting unique growth trajectories. Leading vendors such as Tableau Software, Microsoft, QlikTech, and Google are actively investing in R&D and strategic partnerships to enhance their product offerings and expand their market reach. Competition within the market is intense, with established players and emerging startups vying for market share. This competitive landscape is driving innovation, leading to the development of more sophisticated visual development platforms with advanced analytics capabilities, including machine learning and artificial intelligence integration. Despite the positive market outlook, challenges remain, including the need for skilled professionals to effectively utilize these platforms, data security and privacy concerns, and the integration complexities with existing enterprise systems. However, the overall trend points towards continued market expansion, with a projected Compound Annual Growth Rate (CAGR) that suggests significant growth over the forecast period (2025-2033). The market is likely to see a shift towards more integrated and AI-powered solutions, further accelerating its growth.

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

Data Security and Privacy Concerns to Restrict Market Growth

One of the key restraints in the Business Intelligence Tools market revolves around persistent concerns regarding data security and privacy. As organizations increasingly rely on BI tools to process and analyze sensitive business information, the risk of data breaches and unauthorized access becomes a prominent challenge. Heightened awareness of regulatory requirements, such as GDPR, has intensified the focus on protecting sensitive data. Businesses face the challenge of implementing robust security measures within BI tools to ensure compliance with regulations and safeguard against potential data vulnerabilities, thereby slowing down the adoption pace.

Impact of COVID-19 on the Business Intelligence market

The COVID-19 pandemic has had a profound impact on the Business Intelligence (BI) market. As organizations grappled with unprecedented disruptions, the need for timely and accurate insights became paramount. The pandemic accelerated the adoption of BI tools as businesses sought to navigate uncertainties and make data-driven decisions. Remote work became a norm, prompting increased demand for BI solutions that support virtual collaboration and enable users to access analytics from anywhere. Moreover, there w...

The Business Intelligence (BI) Tools market is experiencing robust growth, driven by the increasing need for data-driven decision-making across diverse industries. The market's expansion is fueled by several key factors: the proliferation of big data, the rising adoption of cloud-based BI solutions offering scalability and cost-effectiveness, and the growing demand for real-time analytics and predictive capabilities. Organizations across all sizes are leveraging BI tools to gain valuable insights from their data, optimize operational efficiency, improve customer engagement, and gain a competitive edge. The market is segmented by deployment (cloud, on-premise), functionality (reporting, analytics, data visualization), industry (BFSI, healthcare, retail, manufacturing), and size of the organization (small, medium, large enterprises). This segmentation reflects the diverse needs and technological capabilities of various market players. Competitive intensity is high, with established players like Microsoft, SAP, and Qlik competing with emerging innovative companies such as Databox and Tableau, leading to continuous product innovation and price competition. The market is witnessing a significant shift towards self-service BI, empowering business users to access and analyze data without needing extensive technical expertise. Looking ahead, the future of the BI Tools market is promising. Continued technological advancements, particularly in areas like artificial intelligence (AI) and machine learning (ML), are poised to further enhance the capabilities of BI tools, making them even more powerful and insightful. The increasing adoption of Internet of Things (IoT) devices is also expected to contribute significantly to data growth, further fueling the demand for sophisticated BI solutions capable of processing and analyzing vast volumes of data from diverse sources. The market will continue to see consolidation as larger players acquire smaller firms to expand their market share and product portfolios. Geographical expansion, particularly in developing economies, also presents significant growth opportunities for BI tool vendors. However, challenges remain, including the need for data security and privacy, the complexities of data integration, and the skills gap in data analytics.

This report presents the latest results and trends from the women's smoking status at time of delivery (SATOD) data collection in England. A new interactive tool has been published which allows users to select and view information for individual Clinical Commissioning Groups. This is available at the link below. These provisional results provide a measure of the prevalence of smoking among pregnant women at Commissioning Region, Region, Sustainability and Transformation Partnership and Clinical Commissioning Group level. Finalised results will be published in July 2018. Smoking during pregnancy can cause serious pregnancy-related health problems. These include complications during labour and an increased risk of miscarriage, premature birth, low birth-weight and sudden unexpected death in infancy. Reports in the series prior to 2011-12 quarter 3 are available from the Department of Health website (see below). Error Notification On 10/05/2018, NHS Digital identified an error in a small number of confidence intervals for the percentage of women smoking at the time of delivery in this report. The confidence intervals were incorrect for: The year to date national figure in table 1. The England total and the four regional totals in table 2b. The England total and the four regional totals in table 3. As the report contains provisional data, the errors will be corrected in the Q4 report which will be published on 3 July 2018 and will contain final data for 2017/18 Q1, Q2, Q3 and Q4. NHS Digital apologise for any inconvenience caused. Accessibility of the power BI dashboard This tool is in Microsoft PowerBI which does not fully support all accessibility needs. If you need further assistance, please contact us for help.

The SharePoint consulting services market is experiencing robust growth, with a market size of XXX and a CAGR of XX%, valued at millions of dollars. Key drivers propelling this expansion include the increasing adoption of cloud-based solutions, the growing need for enhanced collaboration and data management capabilities within organizations, and the rising demand for digital transformation initiatives. Businesses are increasingly leveraging SharePoint's functionalities for document management, intranet development, and workflow automation, fueling the demand for expert consulting services. Significant trends shaping the market include the rising adoption of Microsoft 365, the integration of SharePoint with other Microsoft services (Power BI, Power Automate), and the growing preference for hybrid and multi-cloud deployments. However, restraints such as the high initial investment costs associated with implementation and the need for specialized skills among consultants pose challenges to market growth. The market is segmented by service type (online and offline) and application (large enterprises and SMEs). Large enterprises generally require more comprehensive solutions, including custom development and integration, while SMEs may focus on simpler deployments and configurations. Geographic distribution reflects the global nature of the market, with North America (especially the US) and Europe currently holding the largest market share, though regions like Asia-Pacific are showing considerable growth potential driven by increasing digitalization and adoption of cloud technologies in emerging economies like India and China. The competitive landscape is highly fragmented, with a mix of large multinational consulting firms like CGI Group and HCL Technologies, and smaller specialized firms like Algoworks and 365 Digital Consulting. The presence of numerous niche players underscores the diverse needs and varying levels of complexity within the market. The forecast period (2025-2033) suggests continued market expansion, driven by factors such as increasing awareness of SharePoint's capabilities, the ongoing digital transformation journey for businesses worldwide, and the growing need for efficient data management solutions. The market's regional distribution will likely see continued dominance from North America and Europe, but the Asia-Pacific region is poised for significant growth. Competition will remain intense, with firms focusing on differentiation through specialized expertise, strategic partnerships, and value-added services such as training and support. The market will likely see further consolidation as larger firms acquire smaller players to expand their service offerings and geographical reach. Future trends to watch include the integration of AI and machine learning into SharePoint solutions, the growing demand for SharePoint-based intranet modernization, and the increasing focus on cybersecurity within SharePoint environments, all of which will further drive demand for specialized consulting services. The study period (2019-2033), with a base year of 2025, provides a comprehensive understanding of the market's historical performance and future trajectory, allowing for informed strategic decision-making by both established players and new entrants.

Den dynamiska marknaden med ökad digitalisering innebär stora utmaningar för dagens företag. Förmågan att anamma ny teknik har en betydande roll för affärsnyttan i dessa verksamheter. Idag är emellertid många små-‐ och medelstora företag låsta till stora komplexa affärssystem som är svåra att anpassa till verksamheten. Marknaden erbjuder idag molnbaserad självbetjäning för affärsanalys. Studiens syfte var att utreda vilka fördelar och nackdelar som förknippas med en molnbaserad självbetjäningstjänst för affärsanalys. En fallstudie har utförts på ett mindre företag i Göteborg genom en observation och intervjuer för att besvara studiens forskningsfråga. Det resulterade i att denna teknik skapar förutsättningar för bättre affärsinsikter på ett snabbt, enkelt och effektivt sätt med en hög användarvänlighet. Det fanns flera fördelar och en tydlig nackdel som studien kunde visa. The dynamic market with increased digitization poses major challenges for today's businesses. The ability to embrace new technology has a significant role for the business benefits of these organisations. Today, however, many small and medium sized enterprises are locked into large, complex business systems that are difficult to adapt. The market today offers cloud-‐based self-‐service business intelligence. The study's purpose was to investigate the advantages and disadvantages associated with a cloud-‐based self-‐service business intelligence. A case study has been conducted on a small business in Gothenburg through observation and interviews to answer the study's research question. The result was that this technology creates opportunities for better business insight more quickly, easily and efficiently with a high ease of use. There were several advantages and a clear disadvantage that the study could show.