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Holistics lets you define analytics logic using code, and check them into Git version control. Perform analytics code reviews before deploying to production. Bringing Software Engineering best practices to Analytics Development.
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This functionality is currently in private beta. Sign up for the waitlist!
Using software engineering best practices in analytics, you can minimize maintenance work. And spend your time on what matters the most. Build a data ecosystem and advance data analytics in your company.
Many people are working on the dashboards at once. When the dashboards are broken, you don't know who make those changes.
Eliminate single points of failure. No more broken dashboards. Always reversible with Git Version Control.
Code scattered across different tools? Losing data and knowledge when people leave the company?
Store all your code in Github, the central repository of your code and definitions.
Using the GUI, you're clicking too much and doing lots of repetitive work.
Build data models and datasets in code once. Reuse them, copy and paste the code everywhere.
Reacting to dashboard outrages? You only know what to fix when things are broken.
Be proactive rather than reactive. Experiment, test before deployment, merge pull requests, approve reviews. Pass test. Click deploy.
Your entire data system can be serialized into code. Back up that code, and let it sit independently in Github. Easily debug and troubleshoot when things go wrong.
Having different databases with the same infrastructures and metric definitions? No more duplicated work. Do it programmatically in Holistics. Just build the data models and datasets once. Use it everywhere.
No more unexpected broken dashboards. Version control your models, datasets, and dashboards. Through Git version controls: pull requests, protected branches, and merging into masters. No more waiting, anyone can propose a change through pull requests. Maximize the ability to collaborate.
Holistics integrates with your favorite transformation tool, dbt. Seamless workflow between dbt and the BI layer.
Our greatest challenge is everything had to go through the data analyst using Tableau. Anybody wanted any kind of metrics were not able to do it themselves. Tableau is not only about SQL, it's also about learning the tool itself, having the software installed in your computer. But once the models are built in Holistics, you know, we're not really that on top of the tool, because the tool is working automatically, we don't have to do much after that. The biggest thing for me is that business users feel much more empowered using Holistics than Tableau.
Albert Casademont, Head of IT
Want to empower your non-technical users to create their own charts without writing SQL or going to your data team?
Share your data securely with your internal teams or external clients. Via email, Slack, CSV/Excel/PDF, and shareable link.
Create dashboards once, tweak and reuse them everywhere. Embed it within your app, within internal pages, it's all up to you.
I'm concerned about data residency. Where are your data centers located?
Does Holistics support my data sources?
How easy is it to learn Holistics? Does it require advanced training or can users pick it up quickly within few hours?
I've never heard of Holistics before. Seems like your product is young?
What is on your product roadmap?
Is Holistics EU-compliant? Do you guys have GDPR?
Is Holistics SOC2 compliant?
I’m based US/Europe. Will customer support be a problem?