We integrated Count mid-last year and have been reaping a multitude of benefits from the product, including:
- More flexibility and greater efficiency in generating insights and recommendations for the business.
- Product development cycle is shortened due to speed from modeling data to EDA to insights to action and change.
- More dynamic visualisation methods, not stuck to out-of-the-box BI tool limitations; able to insert other types of visuals very easily, such as screenshots and other relevant images that help stakeholders understand the data.
- Super easy set up with help from the Count team; intuitive to use with little need to upskill.
- Very responsive customer service team that's listening to users and customers in a very involved and engaged way; Count has created a community of Data Leaders which has been immensely helpful for strategic impact of data and the team.
- Ability to combine SQL with Python on one canvas has allowed the team to be more flexible with their approach to solutioning.
- Integration of DuckDB makes data processing and computation so much cheaper in comparison to query-heavy BI tools like Looker, both in terms of caching and having greater control over your costs. Review collected by and hosted on G2.com.
- Some functionalities such as the semantic layer took a while to build and the learning curve feels (emphasis on feels) difficult for the team to uptake
- As a result, ease of out-of-the-box dashboarding has been a bit harder to standup in Count, though we're making moves in this direction.
- It's best feature - dynamicism - is also perhaps the most complicated aspect to get buy-in from non-technical stakeholders and data consumers around the business. Review collected by and hosted on G2.com.
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Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.