Dataiku vs. Jet Reports

I would recommend it because it's an amazing tool for different levels of users. From Business Analysts to Data Scientists to Managers, various employees can make use of this tool to make data-driven decisions. I'm not sure about where it would be less appropriate as I'm using it as Data Scientist and so far it pretty much caters to my need.

Incentivized

Jet Reports is well suited whrn you have all the data handy in excel files. But it gets a little tricky if you want to get the live data from social media or any other channels. I wish it had a better integration abilities with other websites or/and channels

Incentivized

• Very intuitive and easy to use UI, making a lot of types of users can collaborate with each other easily, by visualizing the same workflow.
• Many building blocks can be reused immediately, avoid a lot of non-standard boiler plate implementation.
• Data pre-analysis and feature engineering assistance increase the productivity as well as the efficiency of data scientists.
• Many data connectors support wide range of data storage, from SQL, TeraData, Hadoop Hive, etc.
• Support from research till final MaaS solution deployment.

Incentivized

• Easy to use
• Combine information such as statistical information and financial information and then does computations based on the information
• Create cash flow reporting

Incentivized

• Its community support is very limited at the moment
• Complex to integrate with automation tools such as Blue Prism

Incentivized

• Licensing is at times a challenge if you are using a Citrix remote desktop or remoting into a server.
• For complex formulas the wizard could provide more contextual help.
• More online documentation would be a big help for new users.

Incentivized

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.

Incentivized

Because it is not the costliest tool in this category but it serves the purpose. It is easy to use, cost effective, and works really well with the data stored on cloud. It has wide range of dashboard templates which go really well with different types of data sets. I would love to use it agains and again

Incentivized

The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.

Incentivized

I hinestly have not used the support a lot but i have always had to way for longer durations to get a response on my emails. I have tried calling them a few times and the wait time was a little more than what i expected. They were able to answer my queries nonetheless

Incentivized

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.

Incentivized

Besides SQL, I have used no other similar reports

Incentivized

• 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.

Incentivized

• Prediction analysis has helped the business to make future plans
• Report scheduling has eliminated a lot of manual work

Incentivized