Likelihood to Recommend Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.
Read full review Great customer service and support with an easy to use interface and easy to understand. The integration is seamless and much easier to use compared to some competitors products. Having customizable dashboards to handle reporting makes easier work for the team and they are able to understand their objectives more easily. We found that the dashboards and reporting also make sure that our client touch points are correct and ensures that we are offering the best service experience. I do feel that a con for Revenyze would be the gap in packages/plans available. I believe there should be a slight increase in the offering on Pro, leave Scale as it is and introduce a slightly more entry level package that offers what Pro currently does. This offers a greater plan dynamic to the mid-size enterprises who are working on updating their B2B and CRM packages which as we all know can be an incredibly costly exercise.
Read full review Pros The intuitiveness of this tool is very good. Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals The way you can control things, the set of APIs gives a lot of flexibility to a developer. Read full review Interactive and Visual reporting using Dashboards Hels us to understand the touch points of our clients journey and where we need to apply action Using task and action plans ensures that the sales team don't miss key steps in the sales process Read full review Cons Read full review There should be additional plan options, only having Pro or Scale could be challenging to some start up mid-size companies Again because the plans are quite pricing, there should possible be a trial version Additional data rows and sources on the Pro plan would be helpful Read full review Usability As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
Read full review Support Rating The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
Read full review Alternatives Considered Strictly for Data Science operations,
Anaconda can be considered as a subset of Dataiku DSS. While
Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
Read full review We love using HubSpot, we only have some minor niggles that introducing Revenyze solved. Together the two work in harmony ensuring the best action and tasks as well as understanding for our revenue team. The integration if you are using HubSpot already is seamless and easy to implement. The two compliment each other and you will really see the impact that using both software solutions has on your bottom line.
Read full review Return on Investment Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration. Platform also ease tracking of data processing workflow, unlike Excel. Build-in data visualizations covers many use cases with minimal customization; time saver. Read full review Our team target productivity is up by 40% on the previous quarter Integration between marketing and sales is seamless, both teams now speak the same language We have increased our lead nurturing by around 30%, ensuring that leads don't slip through task gaps Read full review ScreenShots