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Customer Satisfaction
7.1/10
7.1
User Experience
7.9/10
7.9
Functionality
4.9/10
4.9
Business Value
8.0/10
8.0

One Data

What is One Data?

End-to-end platform for the design, development and provision of data products with functions for pipelining and cataloging as well as governance, data quality and marketplace functions.

Data Management & Storage
– Databases & Access Engines
● Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

= covered

About One Data

The information in this section has been provided by the vendor of One Data.

Self-description of the vendor

No vendor self-description available

One Data screenshots

One Data videos

References
thyssenkrupp SE, ebm-papst, PAYBACK GmbH, Markant Handels- und Industriewaren-Vermittlungs AG, ZF Friedrichshafen AG, Wiener Börse, Markel Insurance SE, SCHOTT AG
Partners
Woodmark Consulting, M2. technology & project consulting GmbH, QuinScape – DataCiders, Sieger Consulting, Camelot Management Consultants, cimt AG, Biztory, Five1, tableau, Snowflake

One Data User Reviews & Experiences

The information contained in this section is based on user feedback and actual experience with One Data.

The information and figures are largely drawn from BARC’s The BI & Analytics Survey, The Planning Survey, The Financial Consolidation Survey and The Data Management Survey. You can find out more about these surveys by clicking on the relevant links.

Summary of user review highlights from One Data

What users like about One Data and where the product scores best in a user comparison.

Why users buy One Data and what problems they have using it

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Full user reviews and KPI results for One Data

All key figures for One Data at a glance.

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Individual user reviews for One Data

Role
Consultant
Number of employees
More than 2.500
Industry
Insurance
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Nutzerfreundlichkeit und dass man alles, was für das Erstellen eines Datenprodukts notwendig ist, an einem Ort findet.

What do you like least/what could be improved?

Lineage mit einem Klick anzeigen lassen, anstatt über Maps und Edges Auswahl.

What key advice would you give to other companies looking to introduce/use the product?

-

How would you sum up your experience?

Tolles, innovatives Produkt mit hoher Nutzerfreundlichkeit und starker Vision.

Role
Line of business employee
Number of employees
More than 2.500
Industry
Process industry
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Technische Anpassbarkeit, direkter Ansprechpartner (schneller Support), gute Organisation.

What do you like least/what could be improved?

Design-Änderungen schwierig umzusetzen, da Plattform-Produkt.

What key advice would you give to other companies looking to introduce/use the product?

-

How would you sum up your experience?

Sehr gute und professionelle Beziehung, schnelles Feedback, gute Ansprechbarkeit.

Role
Consultant
Number of employees
More than 2.500
Industry
IT
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Data product resuability, ETL, data quality and AI features.

What do you like least/what could be improved?

Overlap of capabilities with other DM solutions (e.g. Informatica).

What key advice would you give to other companies looking to introduce/use the product?

Prioritize domains with adequate data maturity. The delineation of platform and product teams is critical for developing the corresponding technical and functional expertise. Identifying reusable high-value data products takes a lot of SME skills and effort but the recommendation feature is helpful.

How would you sum up your experience?

Good fit for mature companies looking for data mesh supporting solutions. Data product recommendation capabilties can accelerate D&A product development and save time.

Awards
Survey Information
Number of reviews for One Data
21
Reviewed versions
63 % version 9, 32 % version 8, 5 % version 2
Peer groups in the survey
Data Product Engineering, Data Catalogs, Data Intelligence Platforms & Marketplaces, Data Intelligence Platforms (Small Scenarios)
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