JarviX means empowerment for everyone
Rating: 9 out of 10
August 12, 2021
Vetted Review
Verified User
1 year of experience
While JarviX is designed for employees across the organization, we found it to be mostly required by the QC department in the manufacturing industry.
- JarviX helps QC managers easily find out the significant factors when issues occur through data exploration. Based on these factors, they can build their own AI model by AutoML. They can resolve similar problems in the future quickly. This whole problem-solving process used to involve employees across IT, Data Science, and QC departments, now it can be done by the QC department themselves and much faster.
Cons
- Most of our clients use BI tools, regardless of providers. We understand that eventually, tools that only display charts and graphs are going to be in the past. But for now, we still want to see how JarviX could be a great addition to BI, or how the two could work together to add value to companies’ analytics process.
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90%
9.0
85%
8.5
86%
8.6
86.66666666666666%
8.7
100%
10.0
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10.0
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- Better adoption rate. On the operation end, there used to be no one that is directly involved in the production end of analytics, now the adoption rate of data tool JarviX has raised to 40% of the employees across all departments.
- 10X Faster data decision-making. One of our clients used to need up to 2 weeks to recalibrate their manufacturing planning when there’s a new order. Now, it takes only 10 minutes.
Tableau and Power BI. Obviously, they are not in the same category. Tableau and Power BI only provide data visualizations plus a little bit of analytics. JarviX not only provides data exploration, so you can find out what the problem is, as well as model management and App builder. If you only look for a dashboard, yes BI is probably enough, but if you constantly feel lacking actionable insights for actual implementations of improvements, JarviX is the choice for you.