Geospatial Analysis is a type of analysis that allows the exploration and discovery of dependencies and common points between the objects within our modelled environment in geographical space. The components of the geospatial analysis are used to provide information on the distance between two objects, the shortest route between them, the ...To associate your repository with the geospatial-analytics topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.The definition of geospatial analytics is a collection of terrestrial data having an address, coordinates expressly in longitudes and latitudes, city, town, village, or ZIP code. The data is solicited through the means of satellite, GPS (Global Positioning System), remote sensing as well as geotagging. Further, to analyze and map geospatial ...GeoSpatial Analysis product suite. GeoSpatial Analysis offers easy and efficient access to data from distinct, distributed spatial and non-spatial systems. This data can be shared across the enterprise, empowering a wide range of users with visualization, query, analysis and reporting capabilities.The core of geoinformatics is geospatial analytics, a branch of data science that focuses on developing cutting-edge technologies supporting processes of acquiring, analyzing and visualizing geospatial Big Data. Advances in various location-aware technologies, (e.g., GPS, the Internet of Things (IoT), mobile sensors, remote sensing), and ever ...Geospatial Analytics for Grand Challenges: GIS 711. Geospatial Data Management: GIS 712. Environmental Earth Observation and Remote Sensing: GIS 713. Geospatial Data Mining: GIS 714. Geospatial Computation and Simulation: GIS 715. Geovisualization: Research / Elective Courses: 54Geospatial analytics helps move beyond general awareness by looking for trends that provide historical perspective and predictive insight. To help foster better decision-making, Deloitte’s geospatial analytics professionals compile and analyze geospatial information from your organization and other sources.The global Geospatial Imagery Analytics market size reached USD 12.51 Billion in 2022 and is expected to reach USD 213.81 Billion in 2032 registering a CAGR of 32.9%. Geospatial Imagery Analytics market growth is primarily driven owing to high demand for Global Positioning System (GPS) devices especially for logistics and vessel navigationGeospatial Analytics is integrated into Db2 for i. These analytic functions include projection-free ellipsoidal support and native geohashes, allowing you to use SQL to leverage Watson Geospatial technology. Geospatial Analytics can be used to generate and analyze geospatial information about geographic features and to store and manage …Join the Geospatial Analytics Community. A GIS developers network dedicated to sharing spatial knowledge. Bryan R. Vallejo. Dec 30, 2021.The geospatial analytics market is driven by a host of factors, some of which are noted below: The increasing number of AI and ML-based GIS solutions, the development of smart cities and urbanization, advancements in big data analytics, and increased deployment of IoT sensors across locations.Graph neural networks (GNNs) are an example of a type of geospatial artificial intelligence (GeoAI) method that has proliferated in urban analytics (Zhu et al., 2018; Li, 2020; Janowicz et al., 2020; Liu and Biljecki, 2022; Mai et al., 2022b, 2022a).Given their ability to intuitively encode spatial locations, dependence and heterogeneity from …Mar 10, 2022 · Geospatial Analysis, also known as spatial analysis, is the use of computational analysis and AI to extract valuable information from high-resolution satellite imagery, location data, spatial data, and geographic data. During a natural disaster, governments can use Geospatial AI and Analytics to collect invaluable information about the weather ... Geospatial intelligence. In the United States, geospatial intelligence ( GEOINT) is intelligence about the human activity on Earth derived from the exploitation and analysis of imagery, signals, or signatures with geospatial information. GEOINT describes, assesses, and visually depicts physical features and geographically referenced activities ... The Geospatial Imagery Analytics Market size was valued at USD 16.10 Billion in 2023 and the total Geospatial Imagery Analytics revenue is expected to grow at a CAGR of 31.23 %from 2024 to 2030, reaching nearly USD 107.91 Billion by 2030. Geospatial Imagery Analytics is the process of examination and interpretation of satellite or aerial images to extract valuable …3- Geospatial Python Libraries. Google Earth Engine (GEE) is powerful and provides tons of ready-to-use data, but it also has some shortcomings. Everything must run in the Google cloud. While it provides free access to its resources, it can also incur costs, especially for large-scale processing.17.2 GeoAI: A New Form of Spatial Analytics. GeoAI, or geospatial artificial intelligence, is a transdisciplinary research area integrating cutting edge AI to solve geospatial problems (Li, 2020 ). In the past decade, amazing progress has been made in the field of AI, particularly in machine learning and deep learning.The geospatial analyst will be responsible for analyzing geographical data, working collaboratively with other staff members, and communicating GIS concepts to non-GIS users. To be successful as a geospatial analyst, you should be prepared to work in a fast-paced and demanding environment. A top-notch geospatial analyst should have …Jun 2, 2021 · Importance of Geospatial Analytics. In simple words, it is the information about the geographic positions of an entity (this could be a user, POI so on). It is also called geospatial data, geographic data, or geodata. They are often formatted as points (latitude-longitude coordinates), polygons, or polylines. The differentiating feature of the ... Geospatial intelligence analyst salary. The median annual geospatial intelligence analyst salary is around $60,000, according to PayScale.com data as of October 2021. Salaries range between $42,000 and $98,000 a year. Several factors can account for pay differences, including the level of education, years of experience, industry, and job location.The use of geospatial analytics and GIS include, but is not limited to, visualizing, mapping, analyzing, and detecting patterns of different diseases, especially infectious diseases mapping . Remote sensing is a method that is commonly used to collect physical data to be integrated into a GIS.How it works. Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. Access geospatial data sources, purpose-built processing operations, pretrained ML models, and built-in visualization tools to run geospatial ML faster and ...Kernel density visualization (KDV) has been widely used in many geospatial analysis tasks, including traffic accident hotspot detection, crime hotspot detection, and disease outbreak detection. Although KDV can be supported by many scientific, geographical, and visualization software tools, none of these tools can support high-resolution KDV with …Apr 3, 2023 · On the KNIME Community Hub search “geospatial” in the “Extensions” section, then drag & drop the row “Geospatial Analytics Extension for KNIME” (Figure 1) onto your KNIME Analytics Platform to install it. Figure 1. The geospatial extension on the KNIME Community Hub (Image by author). Once installed, you should see a folder named ... The core of geoinformatics is geospatial analytics, a branch of data science that focuses on developing cutting-edge technologies supporting processes of acquiring, analyzing and visualizing geospatial Big Data. Advances in various location-aware technologies, (e.g., GPS, the Internet of Things (IoT), mobile sensors, remote sensing), and ever ... Whether it's location-based services, geospatial analytics, or real-time tracking, Redis Geospatial Indexes empower students, startups, AI entrepreneurs, and AI developers to unlock the full potential of spatial data processing. Additional Resources. Check out more episodes Open at Microsoft Series. Sign up for Microsoft for Startup Founders HubGeoSpatial Analysis product suite. GeoSpatial Analysis offers easy and efficient access to data from distinct, distributed spatial and non-spatial systems. This data can be shared across the enterprise, empowering a …Geospatial analytics can also help an organization meet its commitments to sustainability standards through sustainable and ethical sourcing. Using geospatial analytics, organizations can track, monitor, and optimize the end-to-end supply chain from the source of raw materials to the destination of the final product.Geospatial analytics combines GIS technology with scientific methods and processes to transform data into visual, actionable information. The Land and Resource Governance (LRG) Division works with USAID missions and divisions, host country governments, communities and other partners to use geospatial analytics in the design, implementation ...Customer service analytics involves the process of analyzing customer behavioral data and using it to discover actionable insights. Sales | What is REVIEWED BY: Jess Pingrey Jess s...As a type of academic writing, analytical writing pulls out facts and discusses, or analyzes, what this information means. Based on the analyses, a conclusion is drawn, and through...Jun 2, 2021 · Importance of Geospatial Analytics. In simple words, it is the information about the geographic positions of an entity (this could be a user, POI so on). It is also called geospatial data, geographic data, or geodata. They are often formatted as points (latitude-longitude coordinates), polygons, or polylines. The differentiating feature of the ... Geospatial analytics can help organizations anticipate and prepare for possible changes due to changing spatial conditions or location-based events. Develop targeted solutions. …Geospatial data is also known as spatial data. It contains the locational information of the things or objects. In this course, we are going to read the data from various sources (like from spatial database) and formats (like shapefile, geojson, geo package, GeoTIFF etc), perform the spatial analysis and try to find insights for spatial data.Geospatial Sciences is a discipline that focuses on using information technology to understand people, places, and processes of the earth. Remote Sensing, Geographic Information Systems and Global Positioning Systems technologies are commonly used as measurement, observation and analysis tools. If you have good Mathematics and …The geospatial analytics market is driven by a host of factors, some of which are noted below: The increasing number of AI and ML-based GIS solutions, the development of smart cities and urbanization, advancements in big data analytics, and increased deployment of IoT sensors across locations.Feb 21, 2023 · 3- Geospatial Python Libraries. Google Earth Engine (GEE) is powerful and provides tons of ready-to-use data, but it also has some shortcomings. Everything must run in the Google cloud. While it provides free access to its resources, it can also incur costs, especially for large-scale processing. An Overview of Geospatial Analytics - Geospatial Data and Analysis [Book] Chapter 1. An Overview of Geospatial Analytics. Geospatial data—that is, data with location information—is generated in huge volumes by billions of mobile phones, sensors, and other sources every day. Data begets data, constantly ratcheting up the unbounded streams of ... Feb 15, 2024 · At the Center for Geospatial Analytics, we push the boundaries of geospatial data science to make discoveries and get important work done. Our state-of-the-art Geovisualization Lab features innovative tools and technologies that help stakeholders intuitively interact with spatial data, to explore patterns and make decisions. Explore Now. Geospatial Analytics Market Outlook 2032. The global Geospatial Analytics Market size was USD 78.7 Billion in 2023 and is likely to reach USD 227.1 Billion by 2032, expanding at a CAGR of 12.5% during 2024–2032.The market is propelled by the increasing adoption of location-based services and the integration of artificial intelligence and machine …The Center for Geospatial Analytics brings together bright minds to tackle the pressing challenges of disciplines as varied as urban planning, history and natural resource management. While those different fields demand the application of different geospatial tools and technologies — or the development of entirely new ones — they all ...In today’s fast-paced and ever-changing business landscape, managing a business effectively is crucial for long-term success. One of the most powerful tools that can aid in this en...The Master of Science in Applied Geospatial Analytics will help prepare students for careers in areas such as civil and environmental engineering, agriculture, natural resource conservation, construction management and public utilities – among other areas where geospatial data skills are in demand.Geospatial analytics industry report classifies global market by share, trend, growth and on the basis of component, solution, application, deployment type, and region. The global geospatial analytics market size is expected to reach USD 134.23 Billion in …Take your familiar data management and analysis workflows to scale. Run analysis in one pass instead of multiple batches. ArcGIS GeoAnalytics Server is designed to crunch through big datasets quickly to reduce the time you spend on processing, so you have more time to visualize, share, and act on your results.Geospatial Analytics :: Real Estate Decision Intelligence Software. Real Estate Decision Intelligence Software. A global leader in real estate management technologies and …Geospatial Analytics for Grand Challenges: GIS 711. Geospatial Data Management: GIS 712. Environmental Earth Observation and Remote Sensing: GIS 713. Geospatial Data Mining: GIS 714. Geospatial Computation and Simulation: GIS 715. Geovisualization: Research / Elective Courses: 54Supercharging H3 for Geospatial Analytics. On the heels of the initial release of H3 support in Databricks Runtime (DBR ), we are happy to share ground-breaking performance improvements with H3, support for four additional expressions, and availability in Databricks SQL. In this blog, you will learn about the new expressions, … Geospatial intelligence. In the United States, geospatial intelligence ( GEOINT) is intelligence about the human activity on Earth derived from the exploitation and analysis of imagery, signals, or signatures with geospatial information. GEOINT describes, assesses, and visually depicts physical features and geographically referenced activities ... Learn what geospatial data analysis is, how it can help you identify spatial patterns and trends, and how it is used in various industries and functions. …GCA provides solutions to customer requirements in every realm of the intelligence and information technology industries to include, imagery/intelligence analysis, related systems engineering and administration, operations and maintenance, networking and VTC services.Go from raw data to valuable insights faster by reducing processing steps and analysis time. Eliminate time-consuming spatial indexing and start analyzing raw geospatial data immediately by leveraging the power of Spark. Save time and effort by using enterprise-grade spatial algorithms built for efficiency and accuracy.This initiative underlines the trusted partnership between UNOOSA and Maxar in the area of geospatial information and analytics as the rapid availability of data is essential for a successful response to such a devastating event like the earthquake in Ecuador." —Simonetta Di Pippo Director, United Nations Office for Outer Space Affairs (UNOOSA)Analysts have been eager to weigh in on the Technology sector with new ratings on Verisk Analytics (VRSK – Research Report) and Smartsheet (SMA... Analysts have been eager to weigh...Sep 21, 2023 · Geospatial data science is a multidisciplinary field that deals with the study of data with a geographic component. It integrates spatial data, GIS, data analysis, visualization, and machine learning techniques to extract valuable insights from large volumes of geospatial data. Learn the key concepts, methods, and applications of geospatial data science in various industries. Apr 3, 2023 · On the KNIME Community Hub search “geospatial” in the “Extensions” section, then drag & drop the row “Geospatial Analytics Extension for KNIME” (Figure 1) onto your KNIME Analytics Platform to install it. Figure 1. The geospatial extension on the KNIME Community Hub (Image by author). Once installed, you should see a folder named ... Geospatial analytics helps move beyond general awareness by looking for trends that provide historical perspective and predictive insight. To help foster better decision-making, Deloitte’s geospatial analytics professionals compile and analyze geospatial information from your organization and other sources. These analytics help detect spatial ...A Complex World, Big Data. Mapping is central to understanding patterns and good decision-making in environmental science, urban planning, business/logistics, ...Sep 21, 2023 · Geospatial data science is a multidisciplinary field that deals with the study of data with a geographic component. It integrates spatial data, GIS, data analysis, visualization, and machine learning techniques to extract valuable insights from large volumes of geospatial data. Learn the key concepts, methods, and applications of geospatial data science in various industries. ArcGIS GeoAnalytics Engine. Experience efficient data fluidity with a library that moves geoanalytics directly to your data. Perform geospatial analysis wherever your data lives—in a data lake, data warehouse, or ArcGIS. Use Apache Spark to access over 150 cloud-native geoanalytics tools and functions so you can understand trends, patterns ...Geospatial Analytics-as-a-Service & Platforms. Fall 2017 Features. MATTEO LUCCIO/ CONTRIBUTOR / PALE BLUE DOT LLC / WWW.PALEBLUEDOTLLC.COM. FIGURE 1. Suspect Drug Traf cking Air eld in Brazil-Colombia Amazon Border – Drug traf cking is an illegal activity in Brazil and is …@geospatialanalytics‧4.59K subscribers‧87 videos‧. Welcome to GeoSpatial Analytics to Learn GeoSpatial-based professional and academic courses. The channel ...3- Geospatial Python Libraries. Google Earth Engine (GEE) is powerful and provides tons of ready-to-use data, but it also has some shortcomings. Everything must run in the Google cloud. While it provides free access to its resources, it can also incur costs, especially for large-scale processing. Refresh. Create interactive maps, and discover patterns in geospatial data. Welcome! The Geospatial Analytics Lab ( People) in the College of Forestry, Wildlife and Environment at Auburn University studies the synergistic use of Earth Observation data …Feb 21, 2023 · 3- Geospatial Python Libraries. Google Earth Engine (GEE) is powerful and provides tons of ready-to-use data, but it also has some shortcomings. Everything must run in the Google cloud. While it provides free access to its resources, it can also incur costs, especially for large-scale processing. Geospatial analysis organizes these layers of information into a visual setting using maps and 3D technology. It can reveal patterns, relationships, and situations that can provide information and ...Geospatial intelligence. In the United States, geospatial intelligence ( GEOINT) is intelligence about the human activity on Earth derived from the exploitation and analysis of imagery, signals, or signatures with geospatial information. GEOINT describes, assesses, and visually depicts physical features and geographically referenced activities ...Learn how to use Google Cloud's comprehensive platform for geospatial workloads and applications to unlock location-driven innovation and optimize your business. Explore …Geospatial Analytics. Vertica provides functions that allows you to manipulate complex two- and three-dimensional spatial objects. These functions follow the Open Geospatial Consortium (OGC) standards. Vertica also provides data types and SQL functions that allow you to specify and store spatial objects in a database according to OGC standards.. …This second edition of the widely acclaimed "Geospatial Analysis" guide has been updated and extended to include a major new chapter on Geocomputational Methods. It addresses the full spectrum of analytical techniques that are provided within modern Geographic Information Systems (GIS) and related geospatial software products. ...Analytical reasoning is logic that is inferred through the virtue of the statement’s own content. Immanuel Kant first described analytical reasoning as part of his System of Perspe...In this article. Geospatial data can be visualized using the render operator in Kusto Desktop Explorer or the Azure Data Explorer web UI.To download Kusto Desktop Explorer, see Kusto.Explorer installation and user interface.. For more information about visualization options, see Data visualization with Azure Data Explorer.For more …Jun 2, 2021 · Importance of Geospatial Analytics. In simple words, it is the information about the geographic positions of an entity (this could be a user, POI so on). It is also called geospatial data, geographic data, or geodata. They are often formatted as points (latitude-longitude coordinates), polygons, or polylines. The differentiating feature of the ... The system consists of three layers: geospatial big data integration & management, geospatial big data analytics, and geospatial big data service platform. The first layer is responsible for quickly storing, retrieving, indexing, and searching geospatial big data. The second layer is responsible for performing data analytics on …Location analytics is the process of deriving insights from geospatial data to make better-informed decisions. Starbucks, for example, uses location analytics to identify optimal locations for new stores by analyzing factors such as demographics, traffic patterns, and nearby businesses. 5. Internet of Things (IoT) and Geospatial Data …Analytical reasoning is logic that is inferred through the virtue of the statement’s own content. Immanuel Kant first described analytical reasoning as part of his System of Perspe...The geospatial intelligence preparation of the environment (GPE) analytic method is based on the intelligence cycle and process. According to the National Geospatial-Intelligence Agency (NGA) 1. Define the Environment: Gather basic facts needed to outline the exact location of the mission or area of interest.The course investigates the processes of manipulation, analysis, presentation and output of geographical data in a GIS. It provides opportunities for the ...Overview. Geospatial analytics use cases. Geospatial cloud building blocks. Geospatial data types, formats, and coordinate systems. Data types. Last … The core of geoinformatics is geospatial analytics, a branch of data science that focuses on developing cutting-edge technologies supporting processes of acquiring, analyzing and visualizing geospatial Big Data. Advances in various location-aware technologies, (e.g., GPS, the Internet of Things (IoT), mobile sensors, remote sensing), and ever ... Today, geospatial analytics streamlines these data-gathering and interpretation processes and allows for an increasingly granular level of information. As a discipline, geospatial analytics involves compiling data from across multiple spatial and nonspatial sources, analyzing and manipulating the information available to identify patterns and ...Take your familiar data management and analysis workflows to scale. Run analysis in one pass instead of multiple batches. ArcGIS GeoAnalytics Server is designed to crunch through big datasets quickly to reduce the time you spend on processing, so you have more time to visualize, share, and act on your results.The definition of geospatial analytics is a collection of terrestrial data having an address, coordinates expressly in longitudes and latitudes, city, town, village, or ZIP code. The data is solicited through the means of satellite, GPS (Global Positioning System), remote sensing as well as geotagging. Further, to analyze and map geospatial ...Crime Mapping & Geospatial Intelligence Analytics is a 15-credit hour standalone certificate with courses in the Department of Geography and Anthropology …3- Geospatial Python Libraries. Google Earth Engine (GEE) is powerful and provides tons of ready-to-use data, but it also has some shortcomings. Everything must run in the Google cloud. While it provides free access to its resources, it can also incur costs, especially for large-scale processing.Extract from Geospatial Analysis 6th Edition, 2021 update - a comprehensive guide to spatial and GIS analysis techniques and software. This PDF document covers the topics of spatial data models, data input and output, data quality and uncertainty, and spatial data analysis. It also includes references, exercises and companion materials.It might be done for any data, but in this particular case, I`ll use my .gpx tracks from Strava. You are free to apply this idea to whatever you want. GIS is creative stuff =) 1. Get your data. To ...
Geospatial Analytics. Business Discovery: Task Contributors to locate any business, yours or otherwise, in a specific location so you don’t have to. Proximity Identification: Understand the dynamic environments around your businesses or retail locations including surrounding stores, neighborhood, etc.. Tune buddy
Feb 21, 2023 · 3- Geospatial Python Libraries. Google Earth Engine (GEE) is powerful and provides tons of ready-to-use data, but it also has some shortcomings. Everything must run in the Google cloud. While it provides free access to its resources, it can also incur costs, especially for large-scale processing. Geospatial analytics is a huge and growing market. It was estimated that the global geospatial analytics market grew to $12 billion in 2020, with an annual growth rate of 16%. This blog post will teach you the basics of geospatial analytics, specifically for property analysis, and its uses across business settings. You’ll learn what this ... Read writing about Geospatial Analytics in Towards Data Science. Your home for data science. A Medium publication sharing concepts, ideas and codes.The Master of Science in Applied Geospatial Analytics will help prepare students for careers in areas such as civil and environmental engineering, agriculture, natural resource conservation, construction management and public utilities – among other areas where geospatial data skills are in demand.In many, if not most, studies that employ geospatial analysis, GIS is used as a means to generate space-based data for subsequent statistical analysis. As an example, Collingwood et al. (2018) used GIS to spatially join census data with precinct data in their political analysis of Washington’s 2012 charter school initiative—the first voter ...Fellows Recruiting New Students for Fall 2024. Faculty Fellows listed below are seeking new students to join the Geospatial Analytics Ph.D. program in Fall 2024. Applications are due February 1, 2024. To learn more about specific research projects recruiting students, visit our assistantships page. DelWayne Bohnenstiehl.The geospatial intelligence analytics graduate certificate program comprises five courses totaling 15 credits. The curriculum is designed so that all 15 credits earned in this certificate program count toward Penn State's online Master of Geographic Information Systems or Master of Professional Studies in Homeland Security programs, should a ...Geospatial analytics helps move beyond general awareness by looking for trends that provide historical perspective and predictive insight. To help foster better decision-making, Deloitte’s geospatial analytics professionals compile and analyze geospatial information from your organization and other sources. These analytics help detect spatial ...Google Analytics is an essential tool for businesses to track and analyze their website’s performance. With its powerful features and insights, it provides valuable data that can h... The core of geoinformatics is geospatial analytics, a branch of data science that focuses on developing cutting-edge technologies supporting processes of acquiring, analyzing and visualizing geospatial Big Data. Advances in various location-aware technologies, (e.g., GPS, the Internet of Things (IoT), mobile sensors, remote sensing), and ever ... Purdue University’s 100% online Master of Science in Graduate Studies in Applied Geospatial Analytics program provides you with the best of both worlds: a world-class graduate degree in geospatial analysis and the convenience of online coursework. You will cultivate technical and problem-solving skills to develop impactful, strategic ... The Senior Geospatial Business Analyst reports to the Associate Director of Business Analysis and works closely with other functions in Conservation & Geospatial Systems to serve TNC’s global community of scientists, conservationists, and GIS analysts and managers. This role is at the center of conservation, geospatial data, and technology at ...As a type of academic writing, analytical writing pulls out facts and discusses, or analyzes, what this information means. Based on the analyses, a conclusion is drawn, and through...Geospatial Analysis is a type of analysis that allows the exploration and discovery of dependencies and common points between the objects within our modelled environment in geographical space. The components of the geospatial analysis are used to provide information on the distance between two objects, the shortest route between …GCA provides solutions to customer requirements in every realm of the intelligence and information technology industries to include, imagery/intelligence analysis, related systems engineering and administration, operations and maintenance, networking and VTC services. Geospatial analytics is a huge and growing market. It was estimated that the global geospatial analytics market grew to $12 billion in 2020, with an annual growth rate of 16%. This blog post will teach you the basics of geospatial analytics, specifically for property analysis, and its uses across business settings. You’ll learn what this ... Graph neural networks (GNNs) are an example of a type of geospatial artificial intelligence (GeoAI) method that has proliferated in urban analytics (Zhu et al., 2018; Li, 2020; Janowicz et al., 2020; Liu and Biljecki, 2022; Mai et al., 2022b, 2022a).Given their ability to intuitively encode spatial locations, dependence and heterogeneity from spatial and spatio …GeoSpatial Analysis product suite. GeoSpatial Analysis offers easy and efficient access to data from distinct, distributed spatial and non-spatial systems. This data can be shared across the enterprise, empowering a wide range of users with visualization, query, analysis and reporting capabilities..