--- description: Reviews zu JMP Software: Systemübersicht, Funktionen, Preisinformationen und Ratings & Reviews. Entdecke kostenlose Live-Demos und vergleiche JMP mit ähnlichen Programmen. image: https://gdm-localsites-assets-gfprod.imgix.net/images/software_advice/og_logo-55146305bbe7b450bea05c18e9be9c9a.png title: JMP | Bewertungen, Preise und Demos – SoftwareAdvice DE --- Breadcrumb: [Startseite](/) > [Data Quality Tools](/directory/4582/data-quality/software) > [JMP](/software/103067/jmp) # JMP Canonical: https://www.softwareadvice.de/software/103067/jmp Seite: 1 / 3\ Weiter: [Nächste Seite](https://www.softwareadvice.de/software/103067/jmp?page=2) > JMP ist eine On-Premise-Datenanalyselösung, die Fachforschenden, technischen Fachkräften und Datenforschenden hilft, komplexe Datenbeziehungen zu verstehen und über interaktive Dashboards zu visualisieren. Die Datenerfassungs- und Bereinigungsfunktionen ermöglichen es den Nutzern, Daten aus ODBC-kompatiblen (Open Database Connectivity) Datenbanken zu importieren und Daten auf Ausreißer, Eingabefehler und fehlende Werte, neben anderen Inkonsistenzen, zu überprüfen. JMP ermöglicht es Datenforschenden, Was-wäre-wenn-Szenarien und Zuverlässigkeitsanalysen zu nutzen, um Muster darzustellen, Einblicke in die Produktleistung zu gewinnen und Schwachstellen im Design zu beheben. Nutzer können alle Experimente anhand der aktuellen Probleme, des Budgets und des verfügbaren Zeitplans aufbauen. Darüber hinaus können Führungskräfte Verbraucher- und Marktforschung durch Data-Mining, Umfrageanalysen, Auswahlexperimente und mehr durchführen. JMP ermöglicht Organisationen die Verwendung von Analysetools von Dritten wie SAS, MATLAB, R und Python. Die Lösung ist mit einer unbefristeten Lizenz erhältlich und der Support erfolgt per E-Mail, über ein Diskussionsforum, anhand einer Dokumentation und mit FAQs. > > Bewertung: **4.5/5** von 53 Nutzern. Top bewertet für **Weiterempfehlungsquote**. ----- ## Kurzstatistiken und Ratings | Metrik | Bewertung | Detail | | **Gesamt** | **4.5/5** | 53 Nutzerbewertungen | | Bedienkomfort | 4.2/5 | Auf Basis der Gesamtbewertungen | | Kundenbetreuung | 4.5/5 | Auf Basis der Gesamtbewertungen | | Preis-Leistungs-Verhältnis | 4.3/5 | Auf Basis der Gesamtbewertungen | | Funktionen | 4.4/5 | Auf Basis der Gesamtbewertungen | | Empfehlungsprozentsatz | 80% | (8/10 Weiterempfehlungsquote) | ## Über den Anbieter - **Unternehmen**: SAS Institute - **Gegründet**: 1976 ## Gewerblicher Kontext - **Startpreis**: 1.390,00 $ - **Preismodell**: (Kostenlose Testversion) - **Zielgruppe**: Selbstständig, 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+ - **Bereitstellungen und Plattformen**: Mac (Desktop), Windows (Desktop), Windows (On-Premise), Linux (On-Premise) - **Unterstützte Sprachen**: Chinesisch, Deutsch, Englisch, Französisch, Italienisch, Japanisch, Koreanisch, Spanisch - **Verfügbare Länder**: Afghanistan, Albanien, Algerien, Amerikanisch-Samoa, Amerikanische Jungferninseln, Andorra, Angola, Anguilla, Antigua und Barbuda, Argentinien, Armenien, Aruba, Aserbaidschan, Australien, Bahamas, Bahrain, Bangladesch, Barbados, Belarus, Belgien und 203 weitere ## Funktionen - API - Abfrage-Generator - Ad-hoc-Analyse - Ad-hoc-Anfrage - Ad-hoc-Berichterstattung - Alarmfunktion / Benachrichtigungen - Analyse von Verlaufstrends - Anpassbare Berichte - Anpassbare Vorlagen - Anpassbares Dashboard - Bayessche Analyse - Benutzer-Management - Berichterstattung / Analyse - Berichterstattung und Statistik - Big Data Analytics - Business Rules Management - Compliance-Verfolgung - Computergestütztes Coding - Customizable Rules - Dashboard ## Integrationen (23 insgesamt) - Amazon Aurora - Amazon Redshift - Apache Booster - CData Drivers - Firebird - Google Sheets - IBM Db2 - IBM SPSS Modeler - IBM SPSS Statistics - MATLAB - MariaDB - Microsoft Access - Microsoft Excel - Microsoft SQL Server - Minitab ... und 8 weitere Integrationen ## Optionen für Kundensupport - E-Mail/Helpdesk - FAQ/Forum - Wissensdatenbank - Telefon-Support - Chat ## Category - [Data Quality Tools](https://www.softwareadvice.de/directory/4582/data-quality/software) ## Ähnliche Kategorien - [Data Quality Tools](https://www.softwareadvice.de/directory/4582/data-quality/software) - [QM Software (Qualitätsmanagement)](https://www.softwareadvice.de/directory/420/quality-management-software/software) - [Entscheidungsunterstützungssysteme](https://www.softwareadvice.de/directory/4202/decision-support/software) - [Machine Learning Software](https://www.softwareadvice.de/directory/4358/machine-learning/software) - [Qualitative Datenanalyse Software](https://www.softwareadvice.de/directory/4695/qualitative-data-analysis/software) ## Alternativen 1. [Microsoft Power BI](https://www.softwareadvice.de/software/23530/microsoft-power-bi) — 4.6/5 (1871 reviews) 2. [Tableau](https://www.softwareadvice.de/software/1940/tableau) — 4.6/5 (2348 reviews) 3. [Zoho Analytics](https://www.softwareadvice.de/software/393551/zoho-analytics) — 4.4/5 (360 reviews) 4. [Minitab](https://www.softwareadvice.de/software/81798/minitab) — 4.5/5 (388 reviews) 5. [Domo](https://www.softwareadvice.de/software/5822/domo) — 4.3/5 (329 reviews) ## Nutzerbewertungen ### "A statistical tool for everybody." — 3.0/5 > **Prathamesh** | *1. Dezember 2019* | Einzelhandel | Empfehlungsbewertung: 8.0/10 > > **Vorteile**: JMP comes with lots of feature and functionality. It is very easy to use and requires no prior experience. It is is one of the statistical package software which doesn't require coding skills. Anybody with no experience and training can use JMP with ease. It has a dashboard which is easy to navigate and feature enabled. Data mining, data cleaning, and descriptives statistics can be very easily performed on JMP. The tool accepts data in different formats csv, xlsx, and dat format . For multivariate statistics JMP is a good tool when it comes to analyzing data using linear regression, ANOVA, MANOVA, and logistic regression. The dashboard application makes it very easy for the user to carry out the complex operations for the advance multivariate methods. Drag and drop functionality is very useful when it comes to handling lots of data. The results displayed are very good graphic display, easy to save and copy graphs other documents. The profiler component of the JMP is very useful to share analysis and reports using web interface. New methods like segmentation and conjoint analysis are also available in JMP. Overall JMP is must use tool for statisticians. > > **Nachteile**: JMP doesn't provide any tools to analyze data using high level simulations. The available simulations are basic simluations which are capable to produce certain amount of data predictions. Variable value designation is a big problem in JMP, the software fails to recognize the type of data when it comes to numeric value. For example, JMP sometimes fails to recognize the difference between number and a string. It is easy to upload an excel sheet in JMP, but the excel add-in takes more time to work, sometimes it even fails to operate. Error and bug fixing requires exhaustive customer support and it is very time consuming. Loading large amount of data is very tedious as it takes lot of time and it crashes very frequently. Other software integrations for JMP are quiet challenging. JMP's parent company SAS follows different set of integration codes because of which the intergration with most large scale software for data access becomes a challenge. Also, JMP is quite expensive for small business, the pricing is suitable for midsize and large companies. Overall, high level simulations, excel add-in, and pricing are the drawbacks of JMP. > > Overall JMP is a very good statistical tool in it features and functionalities. For statisticians who are involved in industrial applications, JMP is a option for them. JMP gives full control and flexibility over data manipulation and analysis. Easy to operate method mechanism and drag and drop function through dashboard is a plus. Reports are very interactive and easy to export. Overall, recommended for statisticians. ----- ### "JMP user review" — 5.0/5 > **Nicholas** | *27. Januar 2025* | Pharmazeutika | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: Intuitive user interface from end to end, from opening a dataset, column formatting to data visualization and analysis. Plots and graphs are also interactive, e.g., highlighted data points in a plot will similarly be highlighted in other plots and tables originating from the same dataset - I absolutely adore this feature. > > **Nachteile**: Uninstalling the previous version of JMP to install/upgrade to a newer version took several attempts - although that could be due to my office laptop setup. Nonetheless, this was resolved quite easily by our IT support staff. > > JMP is my go-to software for any data analysis and visualization. Always excited when I get my hands on new datasets and loading them into JMP to see what I can learn using the wide array analysis/regression methods and visualization tools in JMP. ----- ### "JMP is always there for your data processing needs\!\!\!" — 5.0/5 > **Abhinav** | *6. August 2018* | Halbleiter | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: I have used this software for more than 5 years now and I have found this to be awesome with large volume data handling. You can make the software spit out graphs, tables and whatever you want it to. > > **Nachteile**: It is a bit less intuitive and you really need to know the exact commands. A bit of better GUI would have been more useful like one of those word processing softwares. > > Overall my experience has been very good. I dont really know too many software out there which can do simultaneous data processing and making them into presentable dashboards. ----- ### "JMP's statistical analysis has a seamless integration of scripting and visualization" — 4.0/5 > **Verifizierter Rezensent** | *8. Dezember 2025* | Forschung | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: I enjoy the ability to save scripts after making an initial plot via a "drop and play" workflow. Can practice scripting or just drop columns into plot locations. This helps with data analysis when new information comes in. > > **Nachteile**: Connecting to a database can be difficult at times if not done correctly. This can lead to roadblocks when implementing new softwares. > > Very positive and one of the better statistical softwares that I have used in the past. Learning more each day using\! ----- ### "JMP is a useful software" — 5.0/5 > **Nanditha** | *8. Dezember 2019* | Krankenhausversorgung & Gesundheitswesen | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: JMP is easy to use for experienced users, and is relatively easy to learn. it is a very comprehensive statistical software. > > **Nachteile**: although it is easy to use for experienced users, it is slightly challenging to learn (not difficult to learnt though). > > I have used JMP for design of experiments and statistical analysis during my masters and PhD and the software has been very accurate in my analyses. ----- Seite: 1 / 3\ Weiter: [Nächste Seite](https://www.softwareadvice.de/software/103067/jmp?page=2) ## Links - [Auf SoftwareAdvice anzeigen](https://www.softwareadvice.de/software/103067/jmp) ## Diese Seite ist in den folgenden Sprachen verfügbar | Sprache | URL | | de | | | en | | | en-AU | | | en-GB | | | en-IE | | | en-NZ | | | fr | | ----- ## Strukturierte Daten