Dataiku vs. HG Insights Platform

Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.

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If you're trying to find or build prompts for your team to get the data they need to make them go ahead. For example, we use it to find our accounts and prospects who are using voice agents. It was very valuable to get that information. So yeah, definitely you can use that.

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• Allows users to collaborate and monitor individual tasks
• Caters to both types of analysts, coders and non-coders, alike
• Integrate graphs and plots with visualization tools such as Tableau

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• It works great for seeing if the site or app for a company is hosted on AWS.
• Intricately uses a different approach (vs the other tools we use) - which helps confirm from another angle.
• It has a great google chrome plug-in.
• UI/UX is modern and clean.

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• The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
• When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
• Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.

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• integration with SFDC could be better
• Sometime provides back an incorrect/no match when a better is available from an uploaded file, though this is getting slightly better
• A way to gauge how many hits you will get off an intent topic before selecting them so you don't feel like one is going to waste could be useful.

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We are using it to identifying Account that uses Support tool and it has been a huge game changer for our organization as it has helped Sales team when they are prospecting Accounts to target these Accounts with knowledge that gives them the edge to win the deal. Plus using it with clay integration is very helpful for us.

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The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level

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It’s very easy to use, and the team is very responsive and friendly to work with. The information is unique and usable and can complement some of the data we get from call recordings. The integration with Salesforce is easy to implement and offers good insights into our database.

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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.

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Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.

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- Sales Intel seems to be more of a direct competition. Their human research seems to be something interesting. Also the claim to focus on firmographics - We went with Bombora for intent technology in the past - We did not move forward with 6sense

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• Customer satisfaction
• Timely project delivery

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• I don't massively get involved in financial matters, but the propensity models we use internally to help run our campaigns are certainly a big factor when our sales people approach our clients.
• Every campaign sold now comes with a flat data fee for us to run and use a propensity model for the activity we complete on behalf of our clients.
• Whilst the client will never see the raw data behind the model (of which HG does play a part along with our other data sources) they are briefed on the methodology and reasoning behind them.

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Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info