Was ist SPSS?
Dein Unternehmen hat mehr Daten als je zuvor, aber Kalkulationstabellen und grundlegende statistische Analysewerkzeuge schränken seine Nützlichkeit ein? Mithilfe der IBM SPSS Statistics-Software kannst Du neue Beziehungen in den Daten finden und vorhersagen, was als nächstes passieren wird. Sieh dir das kostenlose Demo-Video von IBM an, um zu lernen, wie du einfach auf Datensätze zugreifen, diese verwalten und analysieren kannst - ohne vorherige statistische Erfahrung. Eliminiere praktisch jede zeitaufwändige Datenvorbereitung und erstelle schnell, manipuliere und verteile Erkenntnisse für die Entscheidungsfindung.
SPSS – Details
IBM
2010 gegründet
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SPSS – Details
IBM
2010 gegründet
SPSS – Videos und Bilder
Kosten ähnlicher Produkte wie SPSS vergleichen
Startpreis
Kostenlose Version
Gratis Testen
SPSS – Bereitstellung und Support
Kundenbetreuung
- E-Mail/Helpdesk
- Telefon-Support
- 24/7 Live-Support
Einsatz
- Cloud, SaaS, webbasiert
- Mac (Desktop)
- Windows (Desktop)
- Linux (Desktop)
Funktionen von SPSS
Big Data Software
- API
- Ad-hoc-Analyse
- Ad-hoc-Berichterstattung
- Aktivitäts-Dashboard
- Anpassbare Berichte
- Anwendungsmanagement
- Berichterstattung / Analyse
- Berichterstattung und Statistik
- Dashboard-Erstellung
- Data Mapping
- Data Warehousing (Datenlager)
- Daten-Connectors
- Daten-Identifizierung
- Daten-Vermischung
- Datenbank-Unterstützung
- Datenbereinigung
- Datenerfassung und Übertragung
- Datenextraktion
- Datenmigration
- Datenreplikation
- Datenspeicher-Management
- Datensynchronisation
- Datentransformation
- Datenvisualisierung
- Diagramm-Erstellung
- Drag-and-Drop
- Drittanbieter-Integration
- Echtzeit-Analytik
- Echtzeit-Daten
- Einmalige Anmeldung
- Mehrfache Datenquellen
- No-Code
- Prognose
- Prognosen
- Prädiktive Analytik
- Rollen-basierte Genehmigung
- SSL-Sicherheit
- Sichere Datenspeicherung
- Suchen / filtern
- Trend-Analysen
- Verarbeitung von hohen Volumen
- Visuelle Analytik
- Visuelle Entdeckung
- Volltextsuche
- Vorlagen
- Warnungen / Eskalation
- Website-Analytik
- Werkzeuge zur Zusammenarbeit
- Zugriffskontrollen / Berechtigungen
- Überwachung
CPM Software
- Ad-hoc-Berichterstattung
- Aktivitäts-Verfolgung
- Benchmarking
- Berichterstattung / Analyse
- Budgetierung/Prognosen
- Dashboard
- Daten-Import / -Export
- Datenextraktion
- Datenintegration
- Datenmanagement
- Datenvisualisierung
- Datenvorbereitung in Selbstbedienung
- Drittanbieter-Integration
- Finanzmanagement
- Fortschrittsverfolgung
- KPI-Überwachung
- Leistungskennzahlen
- Planung der Aktivitäten
- Prädiktive Analytik
- Sichere Datenspeicherung
- Strategische Planung
- Trend- / Problemindikatoren
- Trend-Analysen
- Visuelle Analytik
- Werkzeuge zur Zusammenarbeit
- Wertungslisten
- Wichtige Leistungsindikatoren (KPI)
- Workflow-Management
- Zielsetzung / Nachverfolgung
- „Was wäre wenn“-Szenarien
Data-Mining-Tools
- API
- Ad-hoc-Analyse
- Ad-hoc-Berichterstattung
- Aktivitäts-Dashboard
- Aktivitäts-Verfolgung
- Anpassbare Berichte
- Berichterstattung / Analyse
- Berichterstattung und Statistik
- Betrugserkennung
- Dashboard-Erstellung
- Data Mapping
- Daten-Connectors
- Daten-Import / -Export
- Daten-Profilierung
- Datenbank-Unterstützung
- Datenerfassung und Übertragung
- Datenextraktion
- Datenspeicher-Management
- Datensynchronisation
- Datenvisualisierung
- Diagramm-Erstellung
- Drittanbieter-Integration
- Echtzeit-Analytik
- Echtzeit-Daten
- Einmalige Anmeldung
- Geografische Karten
- Geplante / automatisierte Berichte
- Individuelle Anpassung
- Kategorisierung / Gruppierung
- Konfigurierbarer Workflow
- Maschinelles Lernen
- Mehrfache Datenquellen
- Nachfragevorhersage
- Prädiktive Analytik
- Prädiktives Modellieren
- Rollen-basierte Genehmigung
- SSL-Sicherheit
- Semantische Suche
- Sentiment-Analyse
- Statistische Analyse
- Suche in natürlicher Sprache
- Suchen / filtern
- Text Mining
- Trend-Analysen
- Verknüpfte-Daten-Management
- Visuelle Analytik
- Werkzeuge zur Zusammenarbeit
- Workflow-Management
- Zugriffskontrollen / Berechtigungen
- Überwachung
Reporting-Tools
- API
- Ad-hoc-Analyse
- Ad-hoc-Anfrage
- Ad-hoc-Berichterstattung
- Aktivitäts-Dashboard
- Aktivitäts-Verfolgung
- Anpassbare Berichte
- Anpassbare Vorlagen
- Anpassbares Dashboard
- Berichterstattung / Analyse
- Berichterstattung und Statistik
- Budgetierung/Prognosen
- Dashboard-Erstellung
- Daten-Connectors
- Daten-Import / -Export
- Datensynchronisation
- Datenvisualisierung
- Diagramm-Erstellung
- Drag-and-Drop
- Drittanbieter-Integration
- Echtzeit-Aktualisierungen
- Echtzeit-Analytik
- Echtzeit-Berichterstattung
- Echtzeit-Daten
- Einmalige Anmeldung
- Finanzanalyse
- Finanzberichterstattung
- Geplante / automatisierte Berichte
- Kundenspezifisches Branding
- Leistungskennzahlen
- Leistungsmanagement
- Marketing-Berichte
- Mehrfache Datenquellen
- OLAP
- Prognose
- Prognosen
- Prädiktive Analytik
- Rollen-basierte Genehmigung
- Suchen / filtern
- Trend-Analysen
- Umsatzentwicklung-Analyse
- Verkaufsberichte
- Visuelle Analytik
- Werkzeuge zur Zusammenarbeit
- Widgets
- Wirtschaftsprüfung-Management
- Workflow-Management
- Zugriffskontrollen / Berechtigungen
- Zusammenfassende Berichte
- Überwachung
Statistik-Programme
- API
- Ad-hoc-Analyse
- Ad-hoc-Anfrage
- Ad-hoc-Berichterstattung
- Aktivitäts-Dashboard
- Aktivitäts-Verfolgung
- Anpassbare Berichte
- Anpassbare Vorlagen
- Anwendungsmanagement
- Bayessche Analyse
- Berichterstattung / Analyse
- Berichterstattung und Statistik
- Compliance-Verfolgung
- Dashboard-Erstellung
- Dateispeicherung
- Daten-Connectors
- Daten-Import / -Export
- Datenextraktion
- Datentransformation
- Datenvisualisierung
- Diagramm-Erstellung
- Drag-and-Drop
- Drittanbieter-Integration
- Echtzeit-Aktualisierungen
- Echtzeit-Analytik
- Echtzeit-Berichterstattung
- Echtzeit-Daten
- Erkennung von Zusammenhängen
- Individuelle Anpassung
- Kundensegmentierung
- Leistungskennzahlen
- Leistungsmanagement
- Mehrfache Datenquellen
- Multivariate Statistik
- Prognose
- Prädiktive Analytik
- Regressionsanalyse
- SSL-Sicherheit
- Statistische Prozess-Kontrolle
- Statistische Simulation
- Suchen / filtern
- Trend-Analysen
- Umsatzentwicklung-Analyse
- Visuelle Analytik
- Visuelle Entdeckung
- Website-Analytik
- Zeitreihen
- Zugriffskontrollen / Berechtigungen
- Überlebensanalyse
- Überwachung
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Erfahrungen mit SPSS
Alle 486 Nutzerbewertungen lesen
Akshay A.
Gets You Results with a Reasonable Learning Curve
Kommentare:
I used this software for Market Research related applications and this helped me quickly complete the tests and save them as per how I wanted it.
In the projects I used it for, it gave out some interesting results and takeaways which helped in business planning.
Vorteile:
1. It literally covers just so many options of tests, from regression to anova and much more. 2. It's like a one stop destination for all queries related to data 3. Can handle massive amounts of data and inputs
Nachteile:
1. A manual/tips section within the software could have eased my learning curve to an extent. 2. UI/UX can be improved 3. High cost
Verifizierter Rezensent
Best stats package with the ease of functionality and mechanism.
Kommentare: My overall experience with SPSS has been great and I strongly recommend it. It is very useful in market research and business analytics industry as most research projects deal with descriptive and multivariate statistical approach. I have been using SPSS for last ten years and it has provided very good functionality with each update and version. Overall I highly recommend this software package.
Vorteile:
Very easy to use. High level functionality and easy to perform mechanisms. Fine way of operations. Can run anything from basic descriptive statistics to high level simulations. Easy to import data in different formats (csv, xls, sav, etc.). Data cleaning process are easily executed which includes missing value imputation, data recoding, and data restructuring. Very functional in running multivariate methods like exploratory factor analysis, ANOVA, linear regression, logistic regression, discriminant analysis, and MANCOVA. Most operations are done through interactive dashboard, which is hassle free. Overall it is a great statistical package to run different analysis at a very affordable price.
Nachteile:
It is tedious to do multiple iterations using SPSS. Syntax functionality is low and lines of codes become exhaustive when you run monte carlo simulations. The most challenging aspect is to run simulations with large data sets. The support provided by the support team doesn't extend beyond technical support. SPSS requires add ons for running the simulations which cost extra to the users. Overall it is deficient in running certain simulations.
Thuffail T.
Analyze your data with statistical theories
Kommentare: I used SPSS for research projects in Master of Business Administration. In the beginning data analyzing and learning the use of software was a time consuming process. I understood that this software can also used for organizational data analysis where sufficient data is available. However , the software lacks intelligence to select correct data out of the imported data therefore data cleansing is important.
Vorteile:
Data can be easily imported to the software from data bases and Excel. Once the data is imported the graphical depiction of the data can be used to identify the behavior of data. After understanding the behavior of the data the data can be analyzed using the available statistical models. The most suitable statistical model for the data can be finalized in the process of data analysis. The software has a broad range of statistical models build on linear and regression theories and models. The software is easy to use with an unsophisticated menu driven interface. Anyone with basic mathematical knowledge can use the software for the analysis. An expert in statistics is not needed as data analyzing consists of few simple steps. However , 3- 4 weeks is needed to properly familiarize with the software. Basically four steps can be identified in using this software. First step is importing data , second step is selection of a procedure , third step is selection of a variable for data analyzing and fourth step is generating of results.
Nachteile:
The efficiency of the software decreases when the size of data increases. Therefore, this can be a major drawback when used in the sectors such as health care. SPSS has 2 main windows one depicting data and the other depicting results. Therefore the software is too simple with limited windows. The software is very similar to excel and most of the results obtained in SPSS also can be obtained in excel by complex calculations .This is comparatively expensive compared to the similar software. The data should be cleaned before analysis in order to generate correct results.
Grisell M.
Being in the field of Social Sciences is almost a requirement to get a complet analysis.
Kommentare:
With SPSS it is possible to collect data, create statistics, analyze management decisions and much more. Gives the opportunity of doing complex analysis and take on prediction models.
The capacity of solving problems of applied statistics by brute force or by trying thousands of combinations to finally stay with what is believed to be the best for use.
Vorteile:
The importance of capture and analyze data to create tables and graphs with complex data. Its ability to manage large volumes of data and carrying out text analysis amog other formats. Being able to use the statistical software, with descriptive statistics such as tabulation and crossover frequencies, and correlation tests. The program allows you to take your data and easily create a wide variety of visual effects such as radial boxplots and density graphs.
Nachteile:
In more complex programs you need to have programming knowledge, as well as to make the most laborious calculations. In statistics, often contradictory results can be obtained between different tests. It does not provide the expected results in the expected time. It sometimes leads to unnecessary sophistication by allowing the use of complex techniques to answer simple questions. If the user does not have previous experience using SPSS or if their statistical knowledge is not up to date, it is difficult to understand which options to select. The results reports contain an excessive level of information.
Slash marky P.
In Betracht gezogene Alternativen:
Good program to educate.
Kommentare: It is a very powerful software, which is very good to use it in educational centers for students. It has a good price, so it is a good option for independent statistical studies.
Vorteile:
It has a simple and uncomplicated platform when learning to use it. It handles terms that were handled at my university and data can be exported from Excel.
Nachteile:
Visually it leaves a lot to be desired, as in its graphics and its graphics edits are very slow. It should be more compatible with Micrsoft programs.
