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Tableau Power Bi - Tableau Vs Power Bi |Jerarquia de contenido en Tableau y Power BI - EGOS BI

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Las herramientas de análisis de datos convierten datos no estructurados en representaciones visuales centradas y fáciles de entender de métricas clave para que los colaboradores del proyecto las asimilen y actúen en consecuencia.

Independientemente de si es un profesional empresarial sin conocimientos técnicos o un científico de datos, estas herramientas le permiten a usted y a sus equipos convertir rápidamente los datos en conocimientos que le ayudarán a tomar mejores decisiones. Las cinco ventajas principales involucran la administración de datos, visualizaciones, análisis impulsados por IA, intercambio de inteligencia empresarial y gobernanza.

1. Prepare los datos con la ayuda de herramientas

El análisis siempre comienza con la recopilación de datos y su preparación para su estudio e interpretación. Muchas organizaciones confían en analistas para combinar y empaquetar los datos manualmente antes de comenzar a analizarlos. Aunque se tenga mucho cuidado a la hora de incluir todos los datos relevantes, en un proceso manual se corre el riesgo de perder información vital o de incluir datos incorrectos de manera involuntaria.

Obtenga mejores resultados con datos conectados

El software de análisis de datos le permite agregar datos empresariales y de autoservicio en una sola vista, incluso cuando proceden de distintos lugares. Asegúrese de que las herramientas que elija tengan la capacidad de reunir todos los orígenes de datos, incluidos el modelado de datos y las consultas de Excel.

Una vez que tenga todos los datos que necesita en un solo lugar, las herramientas integrales de análisis de datos pueden limpiarlos de forma eficaz para asegurarse de que sean completos y precisos, estén actualizados, cuenten con el formato adecuado, y no incluyan información irrelevante ni duplicada. De esta forma, se ahorrará mucho tiempo a los analistas.

Obtenga conocimientos de los macrodatos

La gran cantidad y variedad de datos que las empresas acumulan, y la velocidad con la que se generan todos los días, hacen que el análisis rápido y claro sea una necesidad. Las herramientas de análisis de datos que se han diseñado para su escalación pueden gestionar macrodatos de una forma que las bases de datos tradicionales no pueden hacerlo.

El análisis de conjuntos de datos de gran volumen también resulta todo un reto si necesita incluir un flujo constante de información de distintos orígenes. Las herramientas de análisis de datos ayudan a interpretar cantidades masivas de datos sobre temas amplios, como las tendencias actuales del mercado o las preferencias de los segmentos de clientes.

2. Convierta los datos en información útil

Las visualizaciones son la piedra angular de lo que las herramientas de análisis de datos pueden hacer por usted, ya que convierten sus datos compuestos en útil información empresarial. Las visualizaciones de datos unifican los datos para convertirlos en historias convincentes y comprender mejor el rendimiento de su negocio. También son de gran ayuda a la hora de persuadir a otras personas sobre los mejores cursos de acción que deben emprender en su organización.

Fortalezca el proceso de toma de decisiones

Dar vida a los datos en una pantalla visual atractiva permite que sus compañeros comprendan mejor la información compleja, descubran conocimientos esenciales y tomen mejores decisiones. Las herramientas de visualización de datos le permiten:

Cree sus representaciones visuales con plantillas preconfiguradas.

Agregue imágenes, texto, color y elementos de diseño memorables.

Defina claramente su análisis con tablas, gráficos, tablas dinámicas y vistas de resumen.

Muestre tendencias y patrones que de otra manera serían difíciles de acceder.

Realice un seguimiento del progreso financiero

Las herramientas de visualización también consolidan los datos en paneles que muestran indicadores clave de rendimiento ( KPI) en áreas como los ingresos por ventas y el rendimiento del marketing. Estas herramientas le permiten personalizar y actualizar paneles para departamentos o análisis específicos, lo que le proporciona una visión general de cómo funcionan las estrategias.

3. Obtenga conocimientos más amplios con IA

A medida que investiga el software de análisis de datos, busque herramientas que incorporen inteligencia artificial (IA) y aprendizaje automático, ya que ayudan a los colaboradores del proyecto y a la empresa a comprender el rendimiento de años anteriores, a hacer predicciones sobre el futuro en función de este conocimiento y a planificar de forma proactiva.

Comprenda mejor a los clientes

El análisis predictivo individual es útil para conocer mejor a sus clientes y llegar a ellos con mayor eficiencia y eficacia. Este análisis aumentado utiliza IA y aprendizaje automático para ayudar a las empresas a anticipar la demanda futura del mercado mediante el análisis de datos históricos sobre los comportamientos y preferencias de los clientes en diferentes grupos.

Algunos software de análisis de datos proporcionan capacidades de IA predictiva que no requieren ningún entrenamiento ni experiencia en código, lo que hace posible que más personas de su organización puedan utilizarlas. Esto facilita a los profesionales empresariales sin conocimientos técnicos la preparación de datos y la extracción de información valiosa de los clientes. También beneficia a los profesionales técnicos al permitirles realizar estas tareas con mayor rapidez.

Saque partido de la IA avanzada

El análisis estadístico avanzado ofrece a los científicos de datos y a los ingenieros de aprendizaje automático distintas opciones para la creación de modelos de datos avanzados y de mejores objetos visuales, para la obtención de más información a partir de los datos, así como para la mejora de la planificación. Este tipo de capacidad de IA es compatible con el lenguaje de programación de código abierto R.

4. Comparta la inteligencia empresarial

Una vez que usted y sus colaboradores hayan extraído conocimientos de los objetos visuales en acción, el software de elaboración de informes le ayudará a compartir su inteligencia empresarial con otras personas tanto dentro como fuera de la organización.

El software de elaboración de informes que forma parte del kit de herramientas de análisis de datos le permite publicar de forma eficaz sus hallazgos, insertar objetos visuales y asignar permisos para aquellas personas que necesiten ver su informe. También simplifica la distribución de informes, mantiene el control de versiones y evita las copias sin conexión.

Cree y distribuya informes personalizados

Personalice sus informes con temas de formato y diseño personalizados para su negocio. El software de elaboración de informes también le permite publicar de la forma que mejor se adapte a su comunicación, como informes estáticos o interactivos paginados creados en formato de tabla. También puede optimizar los informes, para que los usuarios puedan abrirlos y leerlos con facilidad en dispositivos móviles.

Designe la frecuencia con la que desea que se publique un determinado tipo de informe, como todas las semanas o una vez al mes. O proporcione informes de autoservicio ad hoc que respondan a preguntas específicas en los casos en que se necesite saber las respuestas. Una ventaja a gran escala del software de elaboración de informes es que puede distribuir informes creados por analistas en toda la empresa a una gran lista de destinatarios.

5. Proteja sus datos

Es posible que le preocupe la seguridad cuando piense en conectar grandes cantidades de datos de distintos orígenes y luego publicar la inteligencia empresarial. Busque herramientas de análisis de datos que tengan medidas de seguridad para proteger los datos de los clientes, así como claves de cifrado que mantengan la privacidad de los datos confidenciales mientras están en tránsito.

Las herramientas de análisis de datos con protección integrada resultan muy útiles, ya que bloquean actividades de riesgo que representan una amenaza para los datos. Al compartir informes, estas herramientas podrán proporcionar seguridad de nivel de espacio de trabajo mediante la publicación en un espacio de trabajo independiente. También habilitan la seguridad de nivel de fila al restringir el acceso a los datos de este nivel y le permiten establecer controles de acceso más amplios donde los necesite.

Elija herramientas que le permitan analizar datos con las características de gobernanza funcionando en segundo plano. Y asegúrese de que sus herramientas lo ayuden a cumplir con los estándares, controles normativos y certificaciones de su sector, como IL6, FedRamp, HIPAA y FINRA.

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Ventajas de las herramientas de análisis de datos | Microsoft Power BI

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Las herramientas de análisis de datos convierten datos no estructurados en representaciones visuales centradas y fáciles de entender de métricas clave para que los colaboradores del proyecto las asimilen y actúen en consecuencia.

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Una de las diferencias entre Tableau y Power Bi es el margen de dificultad en la interfaz. El uso de Tableau se muestra más complejo frente a la interfaz de Power Bi debido a que Tableau ha sido pensada como un herramienta analítica para profesionales y usuarios experimentados y Power Bi para todo tipo de usuarios

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Data Viz muestra gráficamente la información y data. Se utilizan charts, mapas, gráficos y otras herramientas. Representa recursos sobre técnicas de visualización de data.

Power BI permite mostrar de fuentes no relacionadas en insights coherentes y llamativos para la toma de decisiones.

Tableau facilita que las personas puedan visualizar y entender la data.

Qlik Sense permite crear dashboards interativos, visualizaciones, charts y apps para uso offline.

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En este video podemos ver una introduccion a la herramienta DataWrapper Click Aqui!

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FORMULARIO DE INSCRIPCION TALLER POWER BI; FECHAS_ 13,17,20,24 JUNIO 2022

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Data Viz: software de colección y visualización de datos por FERDIO (Agencia de visualización de datos e infografía)
Power BI:  Es una solución de análisis empresarial basado en la nube, que permite unir diferentes fuentes de datos, analizarlos y presentar un análisis de estos a través de informes y paneles. por Microsoft
Tableau: Es una empresa estadounidense de software de visualización de datos interactivos centrada en la inteligencia empresarial. Por Salesforce
Qlik Sense: es una aplicación de Windows que permite a los usuarios crear visualizaciones, gráficos, cuadros de mando interactivos y aplicaciones de analítica para uso local y sin conexión.

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Qlik Sense Desktop es una aplicación de Windows que permite a los usuarios crear visualizaciones, gráficos, cuadros de mando interactivos y aplicaciones de analítica para uso local y sin conexión.

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Rafael R - TOP 8 Best Data Visualization

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Rafael R - TOP 8 Best Data Visualization

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las 8 mejores herramientas de visualizacion segun el Towards Datascience

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Business intelligence makes sense of big data, which grows increasingly complex and digitized every day. In your search for the right BI tools, you might be considering various products for your BI requirements. In this article, we compare Microsoft Power BI vs Tableau vs Qlik Sense for more than ten features that are on enterprises' wishlist.

Though all three products tie for a few attributes, Power BI ranks as the winner. Yet, the other two are close behind and may be a better fit your organization's needs. Read on to see why we ranked Power BI at the top of the this comparison and get an idea of which product might work best for you.
Compare Power BI, Tableau and Qlik Sense Against Your Needs
Here's a ready reckoner for you to jump to the desired section.

First, let's get to know these products better.
Compare Power BI, Tableau and Qlik Sense Against Your Needs
Power BI is a SaaS service that Microsoft initially released as an add-on to Excel. It is now a reporting and analytics solution in its own right for enterprises of all sizes. Being from the Microsoft family, it seamlessly integrates with other products from the vendor, including Office 365.

Since it embeds easily, you can analyze your business assets seamlessly from within business applications. Its Power Query, Power Pivot and Power View modules enable efficient querying, modeling and visualization, respectively.

Tableau's popularity stems from its free visualizations that you can view online and download. You have complete control over the data you share with a high degree of customization and configurable security options.

Adoption is easy through its user-friendly interface and intuitive drag-and-drop functionalities. While Tableau Desktop is the vendor's primary offering, it comes with a license for Tableau Server or Tableau Online.

QlikView was Qlik's classic BI solution that helped customers shift from large, IT-driven, SQL-centric technologies to agile insight discovery. Qlik has since introduced Qlik Sense, a modern analytics platform for self-service analysis. The vendor provides a seamless, cost-effective upgrade to Qlik Sense for QlikView users.

It supports a broad spectrum of analytical needs. Some of these are:

Guided analytics apps and dashboards

Embedded analytics

Conversational analytics

SaaS application automation

Reporting

Alerts

Mobile analytics

Its Associative Engine indexes every possible relationship among datasets to tell you what you need to know. The software deploys on-premise, in the private and public cloud, and as a multi-cloud solution with multi-tenancy support. The vendor provides two versions - Business and Enterprise, offered on a per account annual subscription.

For more details, request our free pricing guide.

Let's dive into the product comparison.

Compare BI Pricing & Costs with our Pricing Guide

Features Comparison

Here is a comparative study of the features these top three BI solutions offers:

Data Connectivity

Power BI: It connects seamlessly to a wide range of existing analytics investments - on-premise and cloud-based - especially Microsoft technologies. Additionally, it supports Apache Hive, Databricks Cloud, Hortonworks, Pivotal HAWQ, Google BigQuery and more.

It mines information from Google Analytics, MySQL, Oracle, Salesforce, MailChimp, Facebook, Zendesk and many more. But, it doesn't connect to SAS out of the box.

Tableau: It has built-in connectors for Amazon Redshift, Cloudera, Google Analytics, Microsoft Excel, MySQL and more, or you can create your own. In the Power BI vs Tableau comparison, the latter lags in third-party integrations. It doesn't connect to project management, payment processing, enterprise messaging and eCommerce platforms out of the box, only through partner integrations.

Qlik Sense: Looking at Qlik vs Tableau, Qlik Sense also comes equipped with native connectors. You can download any that aren't available natively from the Qlik website. The vendor continues to expand support for newer sources, the latest ones being the Databricks ODBC and the Azure Synapse connector.

It lacks support for accounting, eCommerce and payment processing platforms.

The Winner: Though lack of connectivity to SAS does lose Power BI a few points, it still ranks ahead of Tableau and Qlik Sense because of a more significant number of source and third-party integrations.

Data Management

When comparing Power BI, Tableau and Qlik Sense, all the tools provide blending, exploration, modeling, data prep and multidimensional data analysis.

Power BI: It provides blending and data profiling with the Query Editor. Businesses can define custom metrics through reusable models. Microsoft SQL Server Analysis Services (SSAS) enables online analytical processing (OLAP) with real-time connectivity.

Tableau Prep: It's the vendor's exclusive offering for data management. Its two modules - Prep Builder and Prep Conductor - enable building, scheduling and monitoring workflows like filter, group and replace, clean, rename a field, duplicate a field, edit a value and change the data type.

The Tableau vs Power BI comparison sees both coming through for OLAP. Tableau connects seamlessly to Oracle Essbase, Teradata OLAP, Microsoft Analysis Services, SAP NetWeaver Business Warehouse, and Microsoft PowerPivot.

Qlik Sense: As for the Tableau vs Qlik Sense comparison, the latter helps you combine, transform and load information from multiple sources. You can uncover correlations through AI suggestions, concatenation and link tables.

Intelligent profiling provides descriptive statistics by automatically processing various information types. The Qlik Cognitive Engine automates smart asset prep and workflow authoring with linking recommendations and visualization suggestions.

The Winner: In the Microsoft BI vs Tableau vs Qlik Sense comparison of information management capabilities, all three products are at the top.
Compare Power BI, Tableau and Qlik Sense Against Your Needs
Dashboards and Data Visualization

In the Power BI, Tableau and Qlik Sense comparison, all three products provide visual snapshots of business metrics through interactive visualizations. You can drill through assets for in-depth insights with periodic auto-refresh giving you the latest metrics.

Power BI: Its visualized metrics serve as an entry point into underlying reports and datasets. Pin tiles from any report to your dashboard and customize it from the toolbar for look and feel. You can set specific dashboards as your favorites and monitor critical metrics by configuring alerts.

Dashboard templates aren't built-in, but you can get them through template apps. Power BI supports animations but only with end-user customization.

Tableau: When comparing Tableau vs Power BI, Tableau's Dashboard Starters make life easier for you by automatically creating dashboards after connecting to popular sources. Build your own visualizations or utilize those made by other users in its online community, available for easy download.

Out-of-the-box (OOTB) animations enhance the visual presentation by showing changes across periods.

Qlik Sense: It shows your key metrics' performance with various visualizations and charts. Its video player visualization lets you embed YouTube videos directly into Qlik Sense apps. But in the Qlik vs Tableau competition, Qlik Sense lags as it doesn't offer dashboard and report templates, though it provides animations OOTB.

The Winner: When comparing Microsoft Power BI vs Tableau vs Qlik Sense for visualization, Tableau wins because of built-in animations and dashboard templates.

Comparing the BI offering from Microsoft, Tableau and Qlik Sense, all three products let you deep-dive into business assets with canned and ad hoc reporting. While Qlik Sense provides you master item lists within custom apps, Tableau needs you to do the groundwork first by publishing sample workbooks on its server before you can build reports.

Power BI: Its Report Server enables report-sharing even behind a firewall with robust governance protocols. Permissions management and role-based information access are available, though the tool doesn't support versioning. You can subscribe for scheduled automatic report delivery, set to happen after the latest refresh.

It supports intelligent narratives by integrating with Narrative Science Quill, a third-party solution.

Tableau: Its Ask Data module facilitates faster analysis and reporting with natural language querying. Versioning is available, so you can see what has changed from last time. You can subscribe to get reports via email in image or PDF format.

Qlik Sense: Automatic report delivery isn't built-in; you need an additional module, Qlik NPrinting, to do the job. Or, you can access reports directly from the Qlik Sense Hub. The tool supports versioning but with third-party integrations.

Its Insight Advisor module supports natural language searches.

The Winner: In the Microsoft BI vs Tableau vs Qlik Sense comparison for reporting, Tableau emerges as the winner, with built-in versioning and subscription-based report delivery.

Data Querying

Comparing Power BI, Tableau and Qlik Sense, all products support ad hoc and scheduled queries at high speed through in-memory analysis.

Power BI: Its Live Connection capability lets you create reports from shared datasets and models and save them to your individual workspaces. The Query Editor enables more than 350 asset transformation actions, including renaming tables and columns, removing rows, setting the first row as headers and more.

Batch update functionality is not built-in, but you can do it through bulk operations.

Tableau: It lets you query business assets intuitively through its proprietary visual query language, VizQL. Or, if you know SQL, you can append, combine and aggregate specific datasets for analysis. Create custom live connections and share them on the Tableau server for use by others.

Qlik Sense: When comparing Qlik vs Power BI, Qlik provides Direct Discovery to establish live connections with various sources. Built-in scheduled and on-demand batch updates are available. The Qlik Data Integration Platform reloads assets incrementally from streaming and other fast-changing live sources.

You can analyze live and in-memory information together, but this approach has certain limitations. Developers can build custom apps to analyze information by leveraging Qlik's in-memory caching functionality.

The Winner: Tableau and Qlik Sense tie for the top spot for this category because of built-in batch updates and powerful visual querying.

Compare Power BI, Tableau and Qlik Sense Against Your Needs
Data Security

Power BI: Besides an activity log, the vendor provides an audit log with Office 365 that tracks events from Sharepoint Online, Exchange Online, Dynamics 365 and other services. Row, column and object-level security are available, and the platform encrypts business assets at rest and during processing.

Tableau: Vendor-built open-source tools, LogShark and TabMon, analyze Tableau Server's usage and performance. Protect your live assets by hiding published dashboards behind logins. Tableau offers security at the row and object level but not at the column level.

Qlik Sense: Qlik lets you capture CPU and RAM usage and activity metrics through Telemetry Logging. It prevents injection attacks and Cross-Site Scripting (XSS) through the Content Security Policy (CSP) Level 2. Multi-Factor Authentication (MFA) and API-based key configuration give an added layer of security.

The tool enables row and column-level security through a section access login and encryption only at rest.

The Winner: In the Microsoft BI vs Tableau vs Qlik Sense comparison for information security, Qlik Sense and Power BI tie for the winner.

Advanced Analytics

All three tools allow you to perform segmentation and cohort analysis. Simple and advanced functions are available for statistical analysis and scenario simulation.

Power BI: It uses expectation-maximization (EM) algorithms and K-means for clustering analysis. Though the solution only supports simple linear regression, forecasting is possible using predictive modeling. But, Power BI doesn't support PMML (Predictive Modeling Markup Language) for the import/export of predictive models.

Tableau: It also supports predictive analytics and can work with MATLAB, R and Python for regression analysis. The tool provides built-in date/time functions for comparisons like year-over-year growth and moving averages. Tableau also doesn't support PMML.

Qlik Sense: The solution gains an edge over the other two with its support for PMML by integrating with the KNIME Analytics Platform. The tool supports bi-variate linear analysis and forecasting through its R plugin. Additionally, a third-party extension, the Vizlib Line Chart, helps you predict trends and opportunities from historical and near-real-time information.

The Winner: Compared to Microsoft Power BI and Tableau, Qlik Sense leads the pack with its support for PMML and easy integration with third-party tools.

Augmented Analytics

Machine learning drives natural language querying to provide insights in a conversational format, building incrementally on previous user searches and queries.

Power BI: Its AutoML (automated machine learning) module lets you train models through automatic algorithm selection. The Quick Insights module identifies basic insights, correlations and potential outliers. But, the platform doesn't support automated anomaly alerting.

Tableau: Its Insight Advisor provides context-aware suggestions, automation and natural language processing. Ask questions in natural language and view the responses as visualizations with Ask Data. Hovering over particular points shows related explanations; that's its Explain Data feature at work.

But, Tableau doesn't support automatic algorithm selection, model tuning, feature generation, descriptive insights and anomaly alerting.

Qlik Sense: The Qlik Cognitive Engine speeds up preparation and authoring functions with associative recommendations. Its Insight Advisor provides context-aware suggestions, automation and natural language processing. Smart Search lets you search across the entire data set out of the box.

But, Qlik Sense doesn't support automatic algorithm selection and feature generation.

The Winner: Power BI leads the pack in the Microsoft Power BI vs Tableau vs Qlik Sense comparison for augmented analytics.
Compare BI Pricing & Costs with our Pricing Guide

For developers looking to add analytics to their software or service without building an in-house tool, BI tools with embedded capabilities provide a nifty solution.

Power BI: It lets you view insights directly by embedding dashboards, interactive reports and tiles within an application. Additionally, it supports multi-tenancy with exclusive workspaces for separate clients. If you are looking for a more robust solution, you might want to go in for Power BI Embedded that includes white labeling, customization and Q&A support.

Tableau: You can embed Tableau views and dashboards into business applications and white label them to establish your brand. Customize the views and manage users, content and displays with site admin controls backed by REST APIs. The vendor ensures that user information is secure even in a multi-tenant setup with stringent security protocols.

Qlik Sense: You can give report viewers access to a single client sheet by embedding it as-is into a website. Developers can create web solutions from the Qlik Sense tech stack to embed multiple visualizations. For greater backend control, it's possible to build custom analytics solutions using nebula.js. The solution should work invisibly in the background to feed data into the embedding application; Qlik Sense only offers moderate out-of-the-box-support for this functionality.

The Winner: Tableau and Power BI take the winner's spot together for embedded analytics.

IoT Analytics

Power BI: It integrates with Azure Stream Analytics, a real-time event processing engine. Connecting to Azure IoT Hub, the tool gathers your business's live information from devices, sensors, social media feeds, clickstreams, applications and log files. You can automatically feed information to a reporting tool by creating event-based triggers and storing the transformed assets for later use.

Tableau: Usage and performance metrics from internet-connected sensors and devices like heavy machinery help minimize defects and monitor field assets in real time. You can prolong the life of your hardware by preempting breakdowns and staying on schedule with preventive maintenance.
Companies can align their product offerings with consumer preferences by gleaning customer insights from chatbots, POS (point-of-sale) processes and other streaming workflows. Edge analytics isn't supported.

Qlik Sense: It provides a data replication module to accelerate asset ingestion. Working with the Qlik Data Integration Platform, it pulls assets from databases, mainframes and SAP systems and delivers them to streaming systems, data warehouses and data lakes.

The Winner: Qlik Sense is the winner in this category.

Geospatial Analytics

Power BI: It integrates with Bing Maps, ArcGIS Maps and Google Maps to provide location visualizations that you can pin to dashboards. Or create visuals based on TopoJSON maps. Geospatial functions and calculations are available through Power Query or DAX (Data Analysis Expressions).

Tableau: It offers forward and reverse geocoding out of the box. You can add spatial information to your analysis by integrating Mapbox, Google Maps and Bing Maps. The solution supports a variety of maps like proportional symbols, choropleth, point distribution, heatmaps, flow maps and more. Search and find continents, countries, states, provinces, counties, cities and even postal codes.

Perform advanced spatial analysis in Tableau by combining geodata files with text files and spreadsheets. Its spatial connector connects to and joins ESRI Shapefiles, KML, GeoJSON files, MapInfo tables and other forms of geospatial information.

Qlik Sense: It doesn't provide geocoding, WMS integration, geospatial functions and spatial file support natively. Instead, it leverages Qlik's GeoAnalytics connector, the GeoAnalytics Server and other extensions. Qlik Geocoding is another value-added product that augments the tool's geolocation capabilities.

The Winner: For this category, Tableau takes the lead with geospatial integrations in various formats, interactive visualizations and its powerful map search function.
Compare BI Pricing & Costs with our Pricing Guide

Native Mobile App

Power BI: Its mobile version gives you secure access to real-time reports and dashboards when out of the office, irrespective of business assets housed in the cloud or on-premise. Create and share reports on your mobile device, ask natural language queries and set up alerts for when the metrics change. Collaborate with others through touch-enabled annotation, comments and @mentions.

Tableau: Its mobile app allows you to browse, search for and scroll through dashboards on your mobile devices. You can preview and interact with your visualizations and workbooks when offline. Collaboration isn't available - you can't add comments or share the annotated mobile screen with others.

Also, it doesn't work with Tableau Public; you'll need a Tableau Server or Online account to get the mobile app.

Qlik Sense: You can access Qlik Sense apps and mashups on mobile with all the features - visualization, creation, analysis, collaboration and administration. Add context to analytics with compelling narratives and create active discussions around business assets through collaboration.

In the QlikView vs Tableau comparison, mobile users can connect to Qlik Sense environments, download apps, and explore them interactively even when the internet isn't available.

The Winner: Qlik Sense and Power BI win the top spot in this category.

OS Support

Power BI: Works on Windows, Mac and Linux.

Tableau: Works on Windows, Mac and Linux.

Qlik Sense: Works only on Windows.

The Winner: Tableau and Power BI come out ahead of Qlik Sense for the winner's position in this category.

Technical Support

All three products have active user communities that answer your queries and help resolve issues.

Power BI: Phone and email support are available. The vendor provides SLAs with help desk support via live chat and instant messaging.

Qlik Sense: Phone and email support are available. The vendor provides SLAs with help desk support.

Tableau: Not available. You can create a support request through the vendor-provided webform or via the customer portal.

The Winner: Power BI takes the lead in this category.

Compare Power BI, Tableau and Qlik Sense Against Your Needs
Which BI Tool Wins?

In the Qlik vs Power BI vs Tableau comparison, Power BI scores for connectivity, data management, security, augmented analytics, embedded analytics, mobile BI capabilities, OS support and technical support. Tableau takes the top spot for data management, visualization, reporting, querying, embedded analytics, geospatial analytics and OS support.

Qlik Sense is the winner for data management, querying, security, advanced analytics, IoT Analytics and mobile analytics.

Though Power BI ties with the other two products for quite a few features, it comes out ahead for 8 out of the 14 key requirements, with Tableau acing it in 7 categories and Qlik Sense winning in 6.

But when all's said and done, the winning solution still may not be the winner for you. One of them, both of them or neither of them may suit your company's needs; you are the best judge. Your budget is key in choosing software, but pricing for all three solutions will likely vary. For a complete product cost comparison, check out our free pricing guide.

What did you think of our Power BI vs Tableau vs Qlik Sense comparison? Which features are on your must-have list? Share with us in the comments below!

Top Competitors

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Power BI vs Tableau vs Qlik Sense | Which Wins In 2022?

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Business intelligence makes sense of big data, which grows increasingly complex and digitized every day. In your search for the right BI tools, you might be considering various products for your BI requirements. In this article, we compare Microsoft Power BI vs Tableau vs Qlik Sense for more than ten features that are on enterprises' wishlist.

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La visualización de datos es la representación gráfica de información y datos. Al utilizar elementos visuales como cuadros, gráficos y mapas, las herramientas de visualización de datos proporcionan una manera accesible de ver y comprender tendencias, valores atípicos y patrones en los datos.
Permite a los tomadores de decisiones ver la analítica presentada de forma visual, de modo que puedan captar conceptos difíciles o identificar nuevos patrones.

Power BI es una solución de análisis empresarial basado en la nube, que permite unir diferentes fuentes de datos, analizarlos y presentar un análisis de estos a través de informes y paneles. Con Power BI se tiene de manera fácil acceso a datos dentro y fuera de la organización casi en cualquier dispositivo.

Qlik Sense Desktop es una aplicación de Windows que permite a los usuarios crear visualizaciones, gráficos, cuadros de mando interactivos y aplicaciones de analítica para uso local y sin conexión. R es un lenguaje de programación de código abierto, disponible como software libre bajo las condiciones de la licencia GNU-GPL, indicado para el análisis estadístico.es una aplicación avanzada de visualización de datos que capacita a cualquier persona de tu equipo para crear con facilidad unas visualizaciones flexibles, interactivas, que impulsan la exploración y el descubrimiento mediante la intuición.

Tableau es la plataforma de análisis integral más eficaz, segura y flexible para sus datos. Potencie a las personas con el poder de los datos. Tableau fue diseñado para el individuo, pero se adapta a toda la empresa. Es la única plataforma de inteligencia de negocios que transforma sus datos para motivar acciones a partir de la información.

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Data Viz o visualización de datos es la representación gráfica de la información y los datos. Todo mediante elementos visuales, como gráficos, mapas, incluso iconos que ayude en la interpretación.

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Power BI: es una solución de análisis empresarial basado en la nube, que permite unir diferentes fuentes de datos, analizarlos y presentar un análisis de estos a través de informes y paneles. Con Power BI se tiene de manera fácil acceso a datos dentro y fuera de la organización casi en cualquier dispositivo.

DataViz: lo que se busca es hacer representaciones gráficas de la información que han arrojado los datos, las cuales sean, ante todo, atractivas al receptor. Para ello, la Data Visualization se aprovecha de elementos visuales como son los gráficos (de todo tipo), los colores, con el objetivo de dirigir la mirada a un dato en concreto, y las formas

Tableau: Es una herramienta de Inteligencia de Negocios que permite analizar, visualizar y compartir grandes volúmenes de información en forma rápida, flexible y amigable.

Qlik Sense es una aplicación avanzada de visualización de datos que capacita a cualquier persona de tu equipo para crear con facilidad unas visualizaciones flexibles, interactivas, que impulsan la exploración y el descubrimiento mediante la intuición.

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Conéctese a los datos y visualícelos mediante la plataforma unificada y escalable para inteligencia empresarial (BI) de autoservicio y de la empresa, que es fácil de usar y ayuda a obtener conocimientos sobre los datos.

Acabe con la brecha que separa los datos de la toma de decisiones

Cree experiencias de datos increíbles

Conéctese a los datos, modélelos y visualícelos con facilidad, mediante la creación de informes memorables personalizados con sus KPI y marca. Obtenga respuestas rápidas y con tecnología de IA a sus preguntas empresariales, incluso al preguntar con lenguaje de conversación.

Obtenga conocimientos de las implementaciones de BI más grandes

Saque el máximo provecho a sus inversiones en macrodatos mediante la conexión a todos los orígenes de datos con escala para analizar, compartir y promover los conocimientos en toda la organización, a la vez que mantiene la precisión, la coherencia y la seguridad de los datos.

Tome decisiones con confianza

Trabaje de forma conjunta y con facilidad en los mismos datos, colabore en los informes y comparta conocimientos mediante aplicaciones populares de Microsoft Office, como Microsoft Teams y Excel, lo que permite a todos los usuarios de su organización tomar rápidamente decisiones controladas por datos que impulsan acciones estratégicas.

Optimice su inteligencia empresarial con tecnologías de confianza de Microsoft

Protección de datos de un extremo a otro

Proteja mejor sus datos en los informes, paneles y conjuntos de datos de Power BI con una protección persistente que sigue funcionando incluso cuando se comparte fuera de la organización o se exporta a otros formatos como Excel, PowerPoint y PDF.

Mejor juntos

Cuando se usa Power BI con Azure y Office, se extrae el valor máximo de la tecnología y los datos. Dado que Power BI interopera con la tecnología de Microsoft en la que ya confía, puede usar todos los datos productivamente.

Conectores de datos extensivos

Con una creciente biblioteca de Más de 500 conectores gratuitos, todo el mundo obtiene una imagen completa para la toma de decisiones controlada por datos. Conéctese directamente a cientos de orígenes de datos locales y en la nube, como Dynamics 365, Azure SQL Database, Salesforce, Excel y SharePoint.

Conozca Power BI

Ver Power BI en acción

Vea lo fácil que es crear informes, colaborar en paneles y compartir conocimientos, dentro y fuera de su organización, con herramientas fáciles de utilizar para la BI de autoservicio y de la empresa.

Explorar Power BI

Vea, lea y descubra cómo convertir conocimiento en acción y crear experiencias de datos increíbles en esta completa guía de Power BI.

Por decimocuarto año consecutivo, Gartner otorga a Microsoft el reconocimiento de líder en el segmento de plataformas de análisis y business intelligence en el informe Gartner Magic Quadrant de 2021. ¹

Consulte los resultados de los clientes de Power BI

Elija Power BI para inteligencia empresarial en autoservicio y de la empresa

Empiece a crear

Obtenga todo lo que necesita para crear y guardar informes interactivos ilimitados, de forma gratuita, con Power BI Desktop.

Compartir y colaborar

Use Power BI en la nube para facilitar el uso compartido de informes y la colaboración mediante las versiones profesional y premium.

Trabajar en movilidad

Obtenga la aplicación móvil gratuita de Power BI para Android, iOS y Windows Mobile para ver informes y visualizaciones y colaborar en ellos en cualquier lugar.

Empiece a utilizar Power BI

¹ Gartner, Magic Quadrant sobre plataformas de análisis y business intelligence (15 de febrero de 2021), James Richardson, Kurt Schlegel, Rita Sallam, Austin Kronz y Julian Sun

Gartner no avala a ninguno de los proveedores, productos o servicios que figuran en sus publicaciones de investigación ni recomienda a los usuarios de tecnología que elijan únicamente a los proveedores con las puntuaciones más altas o con cualquier otro tipo de atribución. Las publicaciones de las investigaciones de Gartner contienen las opiniones de las organizaciones de investigación de Gartner y no deben interpretarse como declaraciones de hechos. Gartner renuncia a todas las garantías, expresas o implícitas, con respecto a esta investigación, incluidas las garantías de comerciabilidad o idoneidad para un fin concreto.

GARTNER es una marca registrada y una marca comercial de Gartner, Inc. y/o sus filiales en EE. UU. y otros países o regiones, y se utiliza aquí con permiso. Todos los derechos reservados.

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optimize relationship roadmap optimize Conéctese a los datos y visualícelos mediante la plataforma unificada y escalable para inteligencia empresarial (BI) de autoservicio y de la empresa, que es fácil de usar y ayuda a obtener conocimientos sobre los datos.

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La plataforma de Tableau es la opción de inteligencia de negocios moderna líder en el mercado. Hace que sea más fácil explorar y administrar los datos. Asimismo, permite descubrir y compartir información más rápidamente a fin de generar grandes cambios en los negocios

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8 Best Data Visualization Tools that Every Data Scientist Should Know

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Powerful Data visualization tools that allow data scientists to communicate their findings more effectively

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Investigar sobre las diversas herramientas de Data Viz, Power BI, Tableau y Qlik Sense

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Power BI comes at a lower price point than Tableau, but scaled features and additional users will increase that price.

Tableau is built for data analysts, while Power BI is better suited to a general audience that needs business intelligence to enhance their analytics.

Table of contents

The world of data visualization and analytics is moving fast with new players hitting the market and established brands absorbing smaller up and comers every day. To stay at the forefront of the data analytics field, a tool must have that special mix of power, ease of use, brand recognition, and price. Both of these tools have this secret sauce, which is why many teams find themselves comparing Microsoft Power BI vs Tableau when looking for the perfect data analytics tool.

Also Read: 10 Tableau Alternatives for Data Visualizing and Analyzing Data

Power BI and Tableau aren't the only market leaders in the business intelligence space. To speed up your research process and get a short list of BI software that'll work for your data needs, click on the image below and fill out the form. Our expert Technology Advisors will send you their recommendations based on your feature requirements. (Article continues below the banner.)

Top business intelligence tools

Power BI and Tableau are both recognizable names in the business intelligence space, but they may not be right for every business. To make your search easier, here's a quick list of top BI software.

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How is Tableau different from Power BI?
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Power BI uses the existing Microsoft systems like Azure, SQL, and Excel to build data visualizations that don't break the bank. This is a great choice for those who already work within the Microsoft products like Azure, Office 365, and Excel. It's also a fairly good low-price option for SMBs and startups that need data visualization but don't have a lot of extra capital.

Tableau specializes in making beautiful visualizations, but much of its advertising is focused on corporate environments with data engineers and bigger budgets. There's a public (free) version of the tool, but with limited capabilities. The more you pay the more you can access with Tableau, including benchmarked data from third parties. The software also has a non-profit tool and versions for academic settings.

Price comparison between Power BI and Tableau
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Overall, Power BI sits at a lower price point than Tableau, with a free version, a monthly subscription, and a scalable premium version with a higher price. Although it's a Microsoft product, Power BI users don't have to pay directly for Office365 to gain access to the tool's admin center interface. However, there will be charges for subscriptions and users. The way Power BI is set up within the Microsoft ecosystem makes it pretty affordable, especially for those companies who are already deeply invested in Microsoft software.

Tableau's pricing is a little more confusing, likely because they recently moved from a bulk purchase to a subscription model. The current pricing is a tiered system that distinguishes between different user types. There are creators that can make visualization models and add data sources, explorers that can edit existing visualizations to answer their own questions, and viewers that can look at the models that others have created. If you already have a lot of data on spreadsheets and want to spend the time exporting your data from third party tools before uploading to Tableau, the pricing per user is fairly reasonable but still higher than what you get with Power BI. However, if you want direct connections to your third party apps like Marketo, Google Analytics, Hadoop, or any Microsoft product, you'll need to pay for the Professional edition.

Deployment options
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Power BI comes in several forms: desktop, pro, premium, mobile, embedded, and report server. Depending on your role and needs, you might use one or all of these services to build and publish visualizations. The most basic setup is an Azure tenant (which you can keep even after your trial is over) that you connect to your Power BI through an Office365 Admin interface. Although that sounds daunting, most companies who use the software will already have the framework in place to get the server running quickly. Power BI is fairly easy to use, and you can quickly connect existing spreadsheets, data sources, and apps via built-in connections and APIs.

In addition to the free public product, Tableau also comes in several forms: individual, team, and embedded analytics plans, which are available on-premises, via a public cloud server, or a private cloud server. Tableau lets you set up your initial instance through a free trial, which gives you full access to the parts of the tool. From the opening dashboard, you'll see a list of all of your available connections. Connect your data sources, and then you can start building a worksheet where your visualizations will live. If you've built your visualizations in Tableau Desktop, you can share them with your team via Tableau Server or Tableau Online.

Integrations and key connections
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Power BI has API access and pre-built dashboards for speedy insights for some of the most-used technology out there like Salesforce, Google Analytics, email marketing, and of course Microsoft products. You can also connect to services within your organization or download files to build your visualizations. In order to connect any data to Power BI, use the "Get Data" button. You'll need to go through a short authorization process in order to get fully connected.

Tableau invested heavily in integrations with popular enterprise tools and widely-used connections. You can view all of the connections included with your account level right when you log into the tool. Tableau's connection interface is a little more involved than Power BI because you'll need to identify which data to pull into the tool when you make the connection. It might be helpful to understand what data you want to look at and why before you start making those connections.

Can Power BI connect to Tableau?

Some companies elect to use both Tableau and Power BI to improve their data visualizations. If that describes your company, you may want the option to examine Power BI models or datasets in Tableau. You can connect the two, although you may run into some issues if you have multi-factor authentication enabled or if a session remains idle for too long. Before attempting to connect the two, you'll also need to make sure you have the latest versions of both platforms installed so that they can communicate correctly.

Dashboards and BI reporting in Tableau vs. Power BI
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Power BI has real-time data access and some pretty handy drag-and-drop features. The whole tool is built to speed up time to visualizations, and it gives even the most novice users access to powerful data analytics and discovery without a whole lot of prior knowledge and experience.

Real-time data access means that teams can react instantly to business changes fed to Power BI from the CRM, project management, sales, and financial tools. Considering live data access is where most SaaS products and especially most dashboard products are moving toward, Power BI certainly has the leg up here.

Tableau's features are just as powerful, but some of them are a little less intuitive, being hidden behind menus. Use the dashboards and reports to forecast revenue based on past customer behavior, and employ calculations to transform existing data based on your requirements. Tableau gives you live query capabilities and extracts, which is particularly helpful for data analysts who are used to stopping all work for the query process.

The interface uses a drag-and-drop table view to ask questions of the data. You put your data types in the x and y axes, and then Tableau instantly builds your visualization. The company line is that they "keep the focus on your questions," but this really feels like Tableau lives somewhere in between query-based (and developer-dependent) data visualization and drag and drop. They balance it nicely, however, because, despite the UX's somewhat cluttered appearance, Tableau is fairly easy to use, as long as you're familiar with your data sets or are willing to spend some time studying.

Extra BI and productivity features
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Power BI has native apps so you can access data from anywhere, alerts about changes. You can also use the publish to web feature that lets you add your visualizations directly to your blog or website. And don't worry if the tool doesn't make sense at first: there's extensive online support with guided learning and documentation including the Power BI YouTube channel, webinars.

One of the coolest features included in Power BI is the natural language query tool. This is like Google for your data. You can literally ask questions of the data like "how much do we invest in each customer?" or "where do our highest value customers live" and the natural language query tool will find answers to the questions.

Tableau also has extensive support tools that teach you everything from the basics of setting up the software through initial data analysis. You can access and manipulate data via the mobile app, and whole teams can collaborate around shared dashboards. Tableau doesn't have a natural language query, but when the company was acquired by Salesforce, the tool integrated the Einstein AI for data discovery.

What is better: Tableau or Power BI?
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When comparing Microsoft Power BI vs. Tableau, you really have to think about who will be using these tools. Power BI is built for the common stakeholder, not necessarily a data analyst. The interface relies more on drag-and-drop and intuitive features to help teams build their visualizations. It's a great addition to any team that needs data analysis software but without getting a degree in data analysis first.

Tableau is similarly powerful, but the interface isn't quite as intuitive, which makes it more difficult to use and learn. Those with data analysis experience will have less trouble cleaning and transforming data into visualizations, but those just getting their feet wet will likely feel overwhelmed with the uphill battle to learn some data science before making visualizations.

Overall, we call this Power BI vs Tableau duel a draw. Power BI wins for ease of use, but Tableau wins in speed and capabilities. Small businesses with limited financial and human resources should start out with Power BI, especially if they already invest in Microsoft products. However, medium and enterprise companies that prioritize data analytics and have the human capital to support them will be better off with Tableau.

Power BI vs. Tableau aren't your only options for data visualization and data analysis tools. If you're ready to search for your next business intelligence tool, fill out our Product Selection Tool for a free, 5-minute consultation.

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Power BI vs Tableau: Data Analytics Duel 2022 | TechnologyAdvice

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Power BI comes at a lower price point than Tableau, but scaled features and additional users will increase that price. Tableau is built for data analysts, while Power BI is better suited to a general audience that needs business intelligence to enhance their analytics.

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