Wer nutzt diese Software?

Alle Branchen; Unternehmen ab 500 Mitarbeiter.

Durchschnittliche Bewertung

4 Bewertungen
  • Gesamt 4.2 / 5
  • Benutzerfreundlichkeit 4.2 / 5
  • Kundenservice 4.8 / 5
  • Funktionen 4.2 / 5
  • Preis-Leistungs-Verhältnis 5 / 5

Produktdetails

  • Kostenlose Version Nein
  • Kostenlose Testversion Ja
  • Einsatz Cloud, SaaS, Web
  • Training Persönlich
    Live Online
    Webinare
    Dokumentation
  • Kundenbetreuung Support während der Geschäftszeiten
    Online

Angaben zum Hersteller

  • innoscale AG
  • https://innoscale.de/datarocket
  • Gegründet 2013

Über DataRocket

DataRocket ist eine Multi-Domain Master-Data-Management-Software. Die Software ist auf Grund ihrer Palette an Funktionen (Analyse, Datenbereinigung und Reporting) und ihrer sehr einfache Bedienbarkeit einzigartig. Kriterien zur Messung der Datenqualität können individuell definiert werden. DataRocket wird zum Herzstück des Datenqualitätsmanagements in deinem Unternehmen.

DataRocket Funktionen

  • Adressen-Validierung
  • Daten-Identifizierung
  • Daten-Profilierung
  • Datendeduplizierung
  • Match & Merge
  • Metadata-Management
  • Stammdatenverwaltung
  • Beziehungs-Mapping
  • Data Masking
  • Data-Governance
  • Datenquelle-Integrationen
  • Hierarchiemanagement
  • Match & Merge
  • Metadata-Management
  • Multi-Domain
  • Prozessmanagement
  • Visualisierung

Die hilfreichsten Reviews für DataRocket

Thank you for a good, now already two-year partnership

Bewertet am 18.6.2019
Manfred N.
Head of Master Data Management
Baumaterial, 1.001-5.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
4/5
Gesamt
5 / 5
Benutzerfreundlichkeit
4 / 5
Eigenschaften & Funktionalitäten
5 / 5
Kundenbetreuung
5 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: We used Data Rocket as a data quality tool to connect SAP ERP and EPIM. For this we designed a data model and transferred it to the DataRocket. The data transfer takes place via a HUB.
The quality checks were developed by us in cooperation with innoscale AG and the results were transferred to Jira and Confluence. Thus the existing authorization system could be used and only administrators needed the access to DataRocket directly.
Since each KeyUser developed the rule for his area and is responsible for it, the acceptance of the system is high. This also applies to management KPIs.
The cooperation with the employees of innoscale AG is characterized by a high level of personal commitment which makes it easy to discuss change requests. The costs for the system, the process preparation, the special requests for layouts and maintenance are very transparent. I am pleased to have set up, completed and published an excellent data quality project with the capable employees of innoscale AG.

Vorteile: - The structures have been flexibly adapted to our needs
- The rules have been defined by us and, if required, drawn up with or by innoscale AG
- The fast and competent help, as well as the discussions at eye level helped to build the tool and develop the team
- The costs for the system, process support and maintenance are transparent
- The connection e.g. to Jira/Confluence was solved well and safely

Nachteile: - some database requirements are incomprehensible. Although based on a MongoDB, the data is stored relationally in the data model, which leads to restrictions, as the complete advantages of a NO SQL database cannot be realized..
- even if many things are self-explanatory - without your own team with know-how DataRocket makes no sense (which is not a minus for Data Rocket, but should be natural for the operator)

Antwort des Softwareanbieters

von innoscale AG an 17.7.2019

Thank you for your review. We are happy to hear that you earned excellent results for your data quality project. We also enjoyed the process of developing DataRocket features tailored to your needs. We will strive to make DataRocket even more comprehensible in the future. Your valuable input will continue to be helpful to accomplish our shared goals.

A smart way to analyse data and increase dataquality

Bewertet am 3.7.2019
Lutz L.
Data Manager
Maschinerie, 5.001-10.000 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Quelle des Nutzers 
4/5
Gesamt
3 / 5
Benutzerfreundlichkeit
4 / 5
Eigenschaften & Funktionalitäten
5 / 5
Kundenbetreuung
5 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: We create data controls to check data quality. These are automatically exported from SAP/R3, analyzed by Data Rocket and displayed in the Intranet (Sharepoint).

Vorteile: - You can quickly create evaluations and diagrams.
- Change the diagram type with one click.
- Modular, understandable workflow through pipline concept.

Nachteile: - More complex evaluations require the support of innoscale, training and learning-by-doing at the beginning.
- More flexibility in the presentation of charts a la Excel would be desirable.

Antwort des Softwareanbieters

von innoscale AG an 17.7.2019

Thank you for sharing your review of DataRocket. We are pleased to hear that you enjoy the working with our software and that DataRocket enables you to quickly create reports that suit your needs. We understand that some functions can be improved to create an even better experience. We will reach out to you to discuss how we can enable you to solve complex reports with DataRocket all by yourself.

DataRocket review

Bewertet am 2.7.2019
Timo F.
Softwaredeveloper
Bankwesen, 1.001-5.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Quelle des Nutzers 
4/5
Gesamt
5 / 5
Benutzerfreundlichkeit
4 / 5
Eigenschaften & Funktionalitäten
4 / 5
Kundenbetreuung
5 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Vorteile: - easy to use and learn
- modern and simple UI

Nachteile: - Performance Issues

Antwort des Softwareanbieters

von innoscale AG an 17.7.2019

We appreciate your positive feedback regarding the interface and usability of our software. Thank you for sharing your observations on performance as well. This will help us to constantly improve DataRocket. We will get in touch with you to discuss and improve the performance in your infrastructure. As DataRocket is designed for big data settings we feel very confident to meet your expectations on this individual weak spot.

DataRocket launch the future

Bewertet am 26.6.2019
Maximilian M.
eBusiness
Groߟhandel, 51-200 Mitarbeiter
Verwendete die Software für: 1-5 Monate
Quelle des Nutzers 
5/5
Gesamt
4 / 5
Benutzerfreundlichkeit
5 / 5
Eigenschaften & Funktionalitäten
5 / 5
Kundenbetreuung
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Vorteile: DataRocket is a good solution for our data management. It helped us to immensely improve our data quality.

Nachteile: No cons experienced so far. We are very happy with DataRocket.

Antwort des Softwareanbieters

von innoscale AG an 17.7.2019

Thank you for reviewing us so positively. We are flattered to serve you with our data management software DataRocket which we will continue to upgrade.

Lies weitere Bewertungen