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Was ist DataRocket?
DataRocket ist eine Multi-Domain-Stammdatenmanagementsoftware zur Verarbeitung von Produkt-, Material-, Lieferanten-, Kunden-, Mitarbeiter-, Kreditoren- & Debitorendaten und weiteren Datenarten.
DataRocket bietet umfassende Analyse-, Datenbereinigungs- und Reportingfunktionen zur nachhaltigen Sicherung der Datenqualität sowie eine widgetbasierte Einbindung in Ihre Kommunikationsplattformen. Dank des benutzerfreundlichen Designs und seines modularen Aufbaus ist DataRocket sofort einsatzbereit.
Wer verwendet DataRocket?
Alle Branchen; Unternehmen ab 500 Mitarbeiter.
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Bewertungen über DataRocket
Great service
Kommentare: The software has helped the analytics team for gaining intelligence on customer's behaviours and helps to better serve our clients
Vorteile:
The software is great and helps in simplifying my work every day. I highly recommend it to my team and other teams within my company
Nachteile:
Nothing i can think of! It is a great software!! However, the customer support team could be better
Antwort von innoscale AG
vor 5 Jahren
Thank you for this review. We are always keen to improve our customer support.
Thank you for a good, now already two-year partnership
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 von innoscale AG
vor 5 Jahren
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
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 von innoscale AG
vor 5 Jahren
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
Vorteile:
- easy to use and learn - modern and simple UI
Nachteile:
- Performance Issues
Antwort von innoscale AG
vor 5 Jahren
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
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 von innoscale AG
vor 5 Jahren
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.
