von Gauss Statistical Solutions
Wer nutzt diese Software?
Data analysis and business intelligence teams from 10 different industries from CPG to Retail are our customers but also employees without a data background might use Enhencer to perform an analysis.
Durchschnittliche Bewertung2 Bewertungen
- Gesamt 5 / 5
- Benutzerfreundlichkeit 5 / 5
- Kundenservice 5 / 5
- Funktionen 5 / 5
- Preis-Leistungs-Verhältnis 5 / 5
- Startpreis $79/Monat
- Preisinformationen There is a plan for every size and type of team! Choose the one that fits!
- Kostenlose Version Ja
- Kostenlose Testversion Ja
Cloud, SaaS, Web
Installiert - Windows
24/7 (Live Vertreter)
Support während der Geschäftszeiten
Angaben zum Hersteller
- Gauss Statistical Solutions
- Gegründet 2017
Enhencer is a cloud-based SaaS platform and provides a brand-new approach to the data analysis through machine learning algorithms. Enhencer's user-friendly intuitive interface makes it a ready-to-use platform from day one without a priori knowledge. For more information and demo-request, please visit us at enhencer.com
Die hilfreichsten Reviews für Enhencer
Bewertet am 25.12.2018
Easy to use data analytics tool ! Good fit for startups & scaleups
Kommentare: We as a scaleup have expertise in data analytics and machine learning. However in our world, time is one of the most important resource. By using Enhencer , we are now able to test different scenarios and make our decisions as quick as possible. This gives us an opportunity to focus on key algorithms with our own team and do quick tests with the new tool.
Vorteile: It enables your team to get quick results without spending too much time and efforts for machine learning algorithms.
Nachteile: Data has to be prepared to be used in the tool. This can be counted as a negative side of the solution.
Bewertet am 26.11.2018
Great product for ML analysis
Vorteile: Enhencer is very easy to use. With just a few clicks, you can run your decision tree based analysis effortlessly. Sweet interface and powerful algorithm. Customer support is also very good.
Nachteile: Other ML algorithms could be added to the software