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Focused, good at what they do, exhibits an expertise in their field. Platform good for end-users
May 12, 2021

Focused, good at what they do, exhibits an expertise in their field. Platform good for end-users

James Roettger | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

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.
  • Ability to embed and white-label.
  • Simplified experience for non-technical users.
  • Fantastic Implementation team.
  • 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.
Their documentation, training, and support resources are excellent.
Their product is designed to be simplified to manage and use.
They have and excellent set of features that covers all the most common asks/needs of someone who wishes to create and share visualizations and KPIs.

They are NOT great for super complicated data science things or to replace statisticians; if you are trying to do anything with K-nearest neighbors or use a Naive Bayes classifier you are going to have a bad time. If, on the other hand, you just want to show a visual related to the ratio of number of times people were injured severely to number of minor injuries for a user defined time period, this is a great platform.
My answer isn't going to help you figure anything out. The biggest things that impact the ability to implementing a data platform are:
  1. How clean and consistent is your data. If you're not controlling the quality of the data, no platform is going to be able to process.
  2. How much data and how often are you refreshing it. Is it a full refresh all the time or are you just passing in deltas?
  3. How many sources are you pulling data from? Each source will require a lot of time to model, test, and harvest.
  4. How many resources do you have working on the project and how experienced are they.
  5. Do you intend to do white labeling and embedding? How skilled are your developers? Are they good at reading and following directions?

With a small and clean data set, using the base portal, and not having super high security standards, you could be up and running as quickly as Qlik, power BI, or Tableau. Realistically plan for a few months and invest some money in having their implementation team help your team to get everything working and all the kinks worked out. If you have a LOT of data and low expertise, plan for at least a year.
Ease of use, ability to organize the fields with different names and search them. The fact that rather than just breaking, it actively prevents you from trying to put data elements together that make no sense. There's quite a bit of guidance built into the product for a user who might feel lost.

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

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).
This platform is fantastic for underserved groups at larger corporations or if you have limited resources and staff to work with data migration and management. Like any analytics platform, this is not going to help you if your company suffers from a lack of data literacy.

The user experience of their default portal (if you choose not to embed via APIs) is excellent for non-technical users to create visualizations, KPIs and data storyboards.