Focused, good at what they do, exhibits an expertise in their field. Platform good for end-users
Overall Satisfaction with GoodData
GoodData provides an analytics engine that supports B2B implementation and white labeling. Their comprehensive API design allows for greater control over the user experience compared to most market offerings, enabling a near seamless transition between their software and another. Most recently, they've released a new set of products that allows even greater control over how a customer can use their engine in combination with 3rd party data warehousing platforms. GoodData provided us the analytics piece that could be tied into our software without it being a disruptive experience for the end user.
Gives us the ability to take data from an operational source and optimizes performance of of processing it for analytical and reporting purposes.
Pros
- Ability to embed and white-label.
- Simplified experience for non-technical users.
- Fantastic Implementation team.
Cons
- This is not a platform for data scientists.
- Poor ability to maintain code versioning of their workspaces and dashboards.
- Limited ways to securely transfer information between your system and theirs.
- Improved user experience in their default product.
- We no longer need to spend resources to develop in-house to compete with all the other data platforms.
- Excellent controls and options around embedding.
Do you think GoodData delivers good value for the price?
Yes
Are you happy with GoodData's feature set?
Yes
Did GoodData live up to sales and marketing promises?
Yes
Did implementation of GoodData go as expected?
Yes
Would you buy GoodData again?
Yes
- Microsoft Power BI, Tableau Online, Qlik Analytics Platform, Domo, Yellowfin, Sisense, Looker, Google Analytics, ThoughtSpot, MicroStrategy Analytics, Pyramid Analytics, TIBCO Spotfire, Logi Analytics, Birst and IBM Cognos Analytics
Each one of the above players had an interesting platform. Ultimately, GoodData beat them based on our need for a customizable user experience, ability to embed, affordable license that is NOT on a per user basis (because if you want adoption, you shouldn't directly tie cost to number of users), and guaranteed performance for certain price points without having to get an incredibly powerful virtual server.
We wouldn't need to perform crazy complicated statistical formulas within the space and much of the self service would be targeting users who are non-technical (or at least building visualizations isn't their full-time job).
We wouldn't need to perform crazy complicated statistical formulas within the space and much of the self service would be targeting users who are non-technical (or at least building visualizations isn't their full-time job).


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