Wer nutzt diese Software?

Tableau empowers people throughout the organization to easily ask and answer questions of their data in real-time, leading to smarter business decisions every day.

Durchschnittliche Bewertung

722 Bewertungen
  • Gesamt 4.5 / 5
  • Benutzerfreundlichkeit 4 / 5
  • Kundenservice 4 / 5
  • Funktionen 4.5 / 5
  • Preis-Leistungs-Verhältnis 4 / 5

Produktdetails

  • Kostenlose Version Ja
  • Kostenlose Testversion Ja, Kostenlose Testversion
  • Einsatz Installiert - Mac
    Cloud, SaaS, Web
    Installiert - Windows
    Mobile - iOS Native
    Mobile - Android Native
  • Training Persönlich
    Live Online
    Webinare
    Dokumentation
  • Kundenbetreuung Support währen der Geschäftszeiten
    Online

Angaben zum Hersteller

  • Tableau
  • https://www.tableau.com/
  • Gegründet 2003

Über Tableau

Tableau helps people transform data into actionable insights that make an impact. Easily connect to data stored anywhere, in any format. Quickly perform ad hoc analyses that reveal hidden opportunities. Drag and drop to create interactive dashboards with advanced visual analytics. Then share your work with anyone and make an impact on your business. From global enterprises to early-stage startups and small businesses, people everywhere use Tableau to see and understand their data.

Tableau Funktionen

  • Ad-hoc-Analyse
  • Ad-hoc-Anfrage
  • Ad-hoc-Berichte
  • Benchmarking
  • Dashboard
  • Datenanalyse
  • Datenvisualisierung
  • Kostenplanung und Prognosen
  • Leistungskennzahlen
  • OLAP
  • Prädiktive Analytik
  • Rentabilitätsanalyse
  • Strategische Planung
  • Trend- / Problemindikatoren
  • Wichtige Leistungsindikatoren (Key Performance Indicators, KPI)
  • Anmerkungen
  • Datenquelle-Integrationen
  • Funktionen / Berechnungen
  • Interaktiv
  • KPIs
  • OLAP
  • Private Dashboards
  • Themen
  • Visuelle Analytik
  • Wertungslisten
  • Widgets
  • Öffentliche Dashboards
  • Datenabgleich
  • Datenklassifizierung
  • Datenvorbereitung in Selbstbedienung
  • Erkennung sensibler Daten
  • Kontextuelle Suche
  • Verringerung falscher Positive
  • Visuelle Analytik
  • Daten-Identifizierung
  • Datenvisualisierung
  • Empfindungsanalyse
  • Prädiktive Analytik
  • Regressionsanalyse
  • Statistische Modellierung
  • Textanalyse
  • Verarbeitung von hohen Volumen
  • Datenanalyse
  • Datenerfassung
  • Datenintegration
  • Datenmigration
  • Datenqualitätskontrolle
  • Datensicherheit
  • Information Governance
  • Kundendaten
  • Match & Merge
  • Stammdatenverwaltung
  • Analytik
  • Content-Management
  • Dashboard-Erstellung
  • Gefilterte Ansichten
  • OLAP
  • Relationales Display
  • Simulationsmodelle
  • Visuelle Entdeckung
  • Dashboard
  • Dynamische Karten
  • Einbettbare Karten
  • Element-Analytik
  • Für den Vertrieb
  • Für die Wissenschaft
  • Radiale Abbildung und Zuordnung
  • Territoriales Mapping
  • Verhalten-basiertes Mapping
  • Website-Analytik
  • Anmerkungen
  • Datenvisualisierung
  • Empfindungsanalyse
  • Forschung mit gemischten Methoden
  • Kollaboration
  • Media-Analytik
  • Mehrsprachig
  • Nutzerforschungsanalyse
  • Qualitative komparative Analyse
  • Quantitative Inhaltsanalyse
  • Statistische Analyse
  • Textanalyse
  • Customizable Dashboard
  • Datenquellen-Verbinder
  • Drag & Drop
  • Drill-Down
  • Finanzberichte
  • Geplante / automatisierte Berichte
  • Marketing-Berichte
  • OLAP
  • Prognose
  • Report Export
  • Verkaufsberichte
  • Association Discovery
  • Compliance-Verfolgung
  • File Storage
  • Multivariate Statistik
  • Prognose
  • Regressionsanalyse
  • Statistical Simulation
  • Statistische Prozess-Kontrolle
  • Zeitreihen
  • Überlebensanalyse

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Die hilfreichsten Reviews für Tableau

Tableau Rocks!

Mit Google übersetzen Bewertet am 7.1.2019
Griffin B.
Senior Strategic Planning Analyst
Gastgewerbe, 1.001-5.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
Quelle: asdf
5/5
Gesamt
3 / 5
Benutzerfreundlichkeit
4 / 5
Eigenschaften & Funktionalitäten
Kundenbetreuung
4 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: Overall, Tableau is a fantastic program for getting automated reports created, published, and off your plate! The visuals are amazing and the subscriptions and alert system are my absolute favorite. The software has its quirks but I've yet to have a problem I couldn't logically program my way around with a little time spent on web forums. Amazing software, very useful, exciting to use!

Vorteile: I love Tableau because, to me, there is almost nothing else out there that does data visualization so quickly and so effectively. I love that you can import almost any kind of data source (I only use SQL or Excel as sources, but there are hundreds of other options). I love that you can then add your own calculated fields, group data into custom buckets, and create parameters which the user can input on the published workbook. I love that you can visualize the data so quickly and in so many ways (with color and shape/size as further attributes). It's like a pivot chart in Excel but so much more agile to use! Finally, I love that you can then build dashboards with these individual reports/worksheets that you create, publish them onto the web, and essentially "set it and forget it," thereby providing your end users with future reporting that is automatic and requires no further work on your end! The real beauty is the creation of alerts and subscriptions, which can email users on a schedule or depending on certain conditions. That's when life really gets exciting--it's like having a full-time robot managing your processes!

Nachteile: I definitely wish Tableau could write back to a database. That would be amazing. I've heard it's in the works, but for now, it's still just on my wish list. I dislike various aspects about Tableau that can make it quite tricky to use. When you publish a data source, you should really publish it first before creating any calculated fields, groups, or parameters. Otherwise, it becomes much more difficult to edit these fields later as you have to re-download the published data source to make your edits to those fields, and then republish your data source, which results in my having to ask IT to re-input the server refresh password to get the data to refresh on a schedule again. This is a tremendous headache. So it's best to create and save new fields at the workbook level, not the data source level. There are also a great many bugs I still run into with Tableau from time to time. Strange behaviors that show me it was created by a human being, as all software is. There is usually a way to figure out a workaround but you have to get creative. Tableau is quirky, for sure. Some actions in the local program work great but don't necessarily translate to the web form. For example, if you create a calculated field that depends on data from two different sources, that works great locally, but it doesn't work well once you publish those data sources to the Tableau Server, because, for some reason, it does not allow the calculation to draw from the separately published data.

The future of Big Data visualisation and processing

Mit Google übersetzen Bewertet am 25.11.2018
Janosch F.
Human Resources Consultant
Internet, 51-200 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
Quelle: asdf
5/5
Gesamt
5 / 5
Benutzerfreundlichkeit
4 / 5
Eigenschaften & Funktionalitäten
4 / 5
Kundenbetreuung
4 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: It took me some time to understand the scope and approach of Tableau. During this time i was confused and sometimes frustrated as It was hard to get static reports out of tableau. Once however I understood the magic behind it (well actually it wasn't Tableaus fault, but just me being stubborn) a whole new world of analyzing data opened up. A Magnificent, splendid, dynamic and playful way of getting answers from data and a completely new way of thinking questions to ask from my data. If you do not have to create static reports which you want to mail daily to a bunch of people but want to explre the secrets your data holds This is THE tool. Definite recommendation.

Vorteile: Tableau is centered around you as a user asking questions to your data. It is as simple as that and it works in ways not imagined before. Via graphical user antierface and drag and drop you combine aspects of your data and visualize relations. The coolest thing is that Tableau supports you without pushing or distracting. The process is emergent and makes it possible to walk the line from coherence to causality and have fun along the way. The End results look great and can be reformated by a couple of clicks in order to shift perspective or look from a different angle or with a different point of interest towards your findings. Tableu picks you up where you are and you can run it as SAAS or on premise, depending on your preferences. Also the API is simple and powerful, making the integration as a dedicated reporting and statistcs module, or more precise data visualisation playground to your existing product easy and convenient. By doing so you can add tableaus product-versatility, ease of use and beauty to a product and participate from its user friendly and open aproach to data analysis.

Nachteile: The licensing was a bit of a hassle as we started in the early days of tableau. Also Sales were very eager and pretty actively tried to support us. This never was a bad thing, just a bit too much. Also Tableau introduced support for document based databases rather later than earlier so we had a slight wait there. Then again, every time the did include a feature it was just bug free and worked like a charm so this was allright as well.
Two things are especially important when evaluating Tableau, from my point of view: The data you whish to process with it must adhere to a minimal standard (or you will have to do a lot of conversion before you can enjoy it within tableau). So older datasources might become somewhat bothersome or at least require a preprocessing step. Most important is that you understand what tableau is for: You will have a great time when dynamically and actively exploring data, even rapidly changing data or real time streams. If you use a tool for creating static reports you waste the potential of this great piece of human engineering and might run into issues.

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